id	sid	tid	token	lemma	pos
ajst-15581	1	1	academic	academic	ADJ
ajst-15581	1	2	journal	journal	NOUN
ajst-15581	1	3	of	of	ADP
ajst-15581	1	4	science	science	NOUN
ajst-15581	1	5	and	and	CCONJ
ajst-15581	1	6	technology	technology	NOUN
ajst-15581	1	7	issn	issn	NOUN
ajst-15581	1	8	:	:	PUNCT
ajst-15581	1	9	2771	2771	NUM
ajst-15581	1	10	-	-	SYM
ajst-15581	1	11	3032	3032	NUM
ajst-15581	1	12	|	|	NOUN
ajst-15581	1	13	vol	vol	NOUN
ajst-15581	1	14	.	.	PROPN
ajst-15581	1	15	8	8	NUM
ajst-15581	1	16	,	,	PUNCT
ajst-15581	1	17	no	no	INTJ
ajst-15581	1	18	.	.	NOUN
ajst-15581	1	19	3	3	NUM
ajst-15581	1	20	,	,	PUNCT
ajst-15581	1	21	2023	2023	NUM
ajst-15581	1	22	118	118	NUM
ajst-15581	1	23	intelligent	intelligent	ADJ
ajst-15581	1	24	identification	identification	NOUN
ajst-15581	1	25	technology	technology	NOUN
ajst-15581	1	26	of	of	ADP
ajst-15581	1	27	stratum	stratum	NOUN
ajst-15581	1	28	sub‐	sub‐	ADJ
ajst-15581	1	29	layer	layer	NOUN
ajst-15581	1	30	based	base	VERB
ajst-15581	1	31	on	on	ADP
ajst-15581	1	32	multi‐parameter	multi‐parameter	NOUN
ajst-15581	1	33	integration	integration	NOUN
ajst-15581	1	34	of	of	ADP
ajst-15581	1	35	logging	log	VERB
ajst-15581	1	36	while	while	SCONJ
ajst-15581	1	37	drilling	drill	VERB
ajst-15581	1	38	haibo	haibo	PROPN
ajst-15581	1	39	liang	liang	PROPN
ajst-15581	1	40	,	,	PUNCT
ajst-15581	1	41	xin	xin	PROPN
ajst-15581	1	42	jiang	jiang	PROPN
ajst-15581	1	43	,	,	PUNCT
ajst-15581	1	44	yi	yi	PROPN
ajst-15581	1	45	yang	yang	PROPN
ajst-15581	1	46	,	,	PUNCT
ajst-15581	1	47	jialing	jialing	PROPN
ajst-15581	1	48	zou	zou	PROPN
ajst-15581	1	49	school	school	PROPN
ajst-15581	1	50	of	of	ADP
ajst-15581	1	51	mechanical	mechanical	ADJ
ajst-15581	1	52	engineering	engineering	NOUN
ajst-15581	1	53	,	,	PUNCT
ajst-15581	1	54	southwest	southwest	ADJ
ajst-15581	1	55	petroleum	petroleum	PROPN
ajst-15581	1	56	university	university	PROPN
ajst-15581	1	57	,	,	PUNCT
ajst-15581	1	58	chengdu	chengdu	PROPN
ajst-15581	1	59	610500	610500	NUM
ajst-15581	1	60	,	,	PUNCT
ajst-15581	1	61	china	china	PROPN
ajst-15581	1	62	abstract	abstract	PROPN
ajst-15581	1	63	:	:	PUNCT
ajst-15581	1	64	stratum	stratum	PROPN
ajst-15581	1	65	identification	identification	NOUN
ajst-15581	1	66	is	be	AUX
ajst-15581	1	67	the	the	DET
ajst-15581	1	68	division	division	NOUN
ajst-15581	1	69	of	of	ADP
ajst-15581	1	70	the	the	DET
ajst-15581	1	71	stratum	stratum	NOUN
ajst-15581	1	72	lithology	lithology	NOUN
ajst-15581	1	73	of	of	ADP
ajst-15581	1	74	one	one	NUM
ajst-15581	1	75	region	region	NOUN
ajst-15581	1	76	,	,	PUNCT
ajst-15581	1	77	which	which	PRON
ajst-15581	1	78	is	be	AUX
ajst-15581	1	79	an	an	DET
ajst-15581	1	80	important	important	ADJ
ajst-15581	1	81	part	part	NOUN
ajst-15581	1	82	of	of	ADP
ajst-15581	1	83	petroleum	petroleum	NOUN
ajst-15581	1	84	geology	geology	NOUN
ajst-15581	1	85	research	research	NOUN
ajst-15581	1	86	.	.	PUNCT
ajst-15581	2	1	how	how	SCONJ
ajst-15581	2	2	to	to	PART
ajst-15581	2	3	effectively	effectively	ADV
ajst-15581	2	4	improve	improve	VERB
ajst-15581	2	5	the	the	DET
ajst-15581	2	6	accuracy	accuracy	NOUN
ajst-15581	2	7	and	and	CCONJ
ajst-15581	2	8	efficiency	efficiency	NOUN
ajst-15581	2	9	of	of	ADP
ajst-15581	2	10	stratum	stratum	NOUN
ajst-15581	2	11	recognition	recognition	NOUN
ajst-15581	2	12	is	be	AUX
ajst-15581	2	13	an	an	DET
ajst-15581	2	14	important	important	ADJ
ajst-15581	2	15	issue	issue	NOUN
ajst-15581	2	16	in	in	ADP
ajst-15581	2	17	oil	oil	NOUN
ajst-15581	2	18	exploration	exploration	NOUN
ajst-15581	2	19	and	and	CCONJ
ajst-15581	2	20	development	development	NOUN
ajst-15581	2	21	.	.	PUNCT
ajst-15581	3	1	during	during	ADP
ajst-15581	3	2	the	the	DET
ajst-15581	3	3	traditional	traditional	ADJ
ajst-15581	3	4	oil	oil	NOUN
ajst-15581	3	5	and	and	CCONJ
ajst-15581	3	6	gas	gas	NOUN
ajst-15581	3	7	drilling	drilling	NOUN
ajst-15581	3	8	process	process	NOUN
ajst-15581	3	9	,	,	PUNCT
ajst-15581	3	10	the	the	DET
ajst-15581	3	11	logging	log	VERB
ajst-15581	3	12	data	datum	NOUN
ajst-15581	3	13	is	be	AUX
ajst-15581	3	14	commonly	commonly	ADV
ajst-15581	3	15	used	use	VERB
ajst-15581	3	16	as	as	ADP
ajst-15581	3	17	the	the	DET
ajst-15581	3	18	main	main	ADJ
ajst-15581	3	19	basis	basis	NOUN
ajst-15581	3	20	to	to	PART
ajst-15581	3	21	conduct	conduct	VERB
ajst-15581	3	22	artificial	artificial	ADJ
ajst-15581	3	23	stratum	stratum	NOUN
ajst-15581	3	24	division	division	NOUN
ajst-15581	3	25	.	.	PUNCT
ajst-15581	4	1	the	the	DET
ajst-15581	4	2	challenges	challenge	NOUN
ajst-15581	4	3	encountered	encounter	VERB
ajst-15581	4	4	are	be	AUX
ajst-15581	4	5	high	high	ADJ
ajst-15581	4	6	labor	labor	NOUN
ajst-15581	4	7	intensity	intensity	NOUN
ajst-15581	4	8	and	and	CCONJ
ajst-15581	4	9	excessive	excessive	ADJ
ajst-15581	4	10	dependence	dependence	NOUN
ajst-15581	4	11	on	on	ADP
ajst-15581	4	12	artificial	artificial	ADJ
ajst-15581	4	13	experience	experience	NOUN
ajst-15581	4	14	for	for	ADP
ajst-15581	4	15	identification	identification	NOUN
ajst-15581	4	16	accuracy	accuracy	NOUN
ajst-15581	4	17	.	.	PUNCT
ajst-15581	5	1	by	by	ADP
ajst-15581	5	2	comprehensively	comprehensively	ADV
ajst-15581	5	3	considering	consider	VERB
ajst-15581	5	4	the	the	DET
ajst-15581	5	5	synergy	synergy	NOUN
ajst-15581	5	6	of	of	ADP
ajst-15581	5	7	multiple	multiple	ADJ
ajst-15581	5	8	parameters	parameter	NOUN
ajst-15581	5	9	in	in	ADP
ajst-15581	5	10	oil	oil	NOUN
ajst-15581	5	11	and	and	CCONJ
ajst-15581	5	12	gas	gas	NOUN
ajst-15581	5	13	drilling	drilling	NOUN
ajst-15581	5	14	,	,	PUNCT
ajst-15581	5	15	we	we	PRON
ajst-15581	5	16	propose	propose	VERB
ajst-15581	5	17	an	an	DET
ajst-15581	5	18	intelligent	intelligent	ADJ
ajst-15581	5	19	sub	sub	ADJ
ajst-15581	5	20	-	-	ADJ
ajst-15581	5	21	layer	layer	ADJ
ajst-15581	5	22	division	division	NOUN
ajst-15581	5	23	model	model	NOUN
ajst-15581	5	24	based	base	VERB
ajst-15581	5	25	on	on	ADP
ajst-15581	5	26	the	the	DET
ajst-15581	5	27	lightgbm	lightgbm	ADJ
ajst-15581	5	28	algorithm	algorithm	NOUN
ajst-15581	5	29	.	.	PUNCT
ajst-15581	6	1	first	first	ADV
ajst-15581	6	2	,	,	PUNCT
ajst-15581	6	3	the	the	DET
ajst-15581	6	4	data	datum	NOUN
ajst-15581	6	5	set	set	VERB
ajst-15581	6	6	was	be	AUX
ajst-15581	6	7	formed	form	VERB
ajst-15581	6	8	by	by	ADP
ajst-15581	6	9	normalizing	normalize	VERB
ajst-15581	6	10	,	,	PUNCT
ajst-15581	6	11	de	de	NOUN
ajst-15581	6	12	-	-	NOUN
ajst-15581	6	13	noising	noising	ADJ
ajst-15581	6	14	,	,	PUNCT
ajst-15581	6	15	and	and	CCONJ
ajst-15581	6	16	smoothing	smooth	VERB
ajst-15581	6	17	the	the	DET
ajst-15581	6	18	drilling	drilling	NOUN
ajst-15581	6	19	engineering	engineering	NOUN
ajst-15581	6	20	parameters	parameter	NOUN
ajst-15581	6	21	and	and	CCONJ
ajst-15581	6	22	combining	combine	VERB
ajst-15581	6	23	them	they	PRON
ajst-15581	6	24	with	with	ADP
ajst-15581	6	25	the	the	DET
ajst-15581	6	26	element	element	NOUN
ajst-15581	6	27	logging	log	VERB
ajst-15581	6	28	parameters	parameter	NOUN
ajst-15581	6	29	.	.	PUNCT
ajst-15581	7	1	then	then	ADV
ajst-15581	7	2	,	,	PUNCT
ajst-15581	7	3	the	the	DET
ajst-15581	7	4	lightgbm	lightgbm	ADJ
ajst-15581	7	5	algorithm	algorithm	NOUN
ajst-15581	7	6	was	be	AUX
ajst-15581	7	7	applied	apply	VERB
ajst-15581	7	8	to	to	PART
ajst-15581	7	9	build	build	VERB
ajst-15581	7	10	the	the	DET
ajst-15581	7	11	sub	sub	ADJ
ajst-15581	7	12	-	-	ADJ
ajst-15581	7	13	layer	layer	ADJ
ajst-15581	7	14	division	division	NOUN
ajst-15581	7	15	model	model	NOUN
ajst-15581	7	16	,	,	PUNCT
ajst-15581	7	17	and	and	CCONJ
ajst-15581	7	18	the	the	DET
ajst-15581	7	19	deep	deep	ADJ
ajst-15581	7	20	neural	neural	ADJ
ajst-15581	7	21	network	network	NOUN
ajst-15581	7	22	and	and	CCONJ
ajst-15581	7	23	support	support	NOUN
ajst-15581	7	24	vector	vector	NOUN
ajst-15581	7	25	machine	machine	NOUN
ajst-15581	7	26	was	be	AUX
ajst-15581	7	27	introduced	introduce	VERB
ajst-15581	7	28	for	for	ADP
ajst-15581	7	29	comparative	comparative	ADJ
ajst-15581	7	30	analysis	analysis	NOUN
ajst-15581	7	31	.	.	PUNCT
ajst-15581	8	1	finally	finally	ADV
ajst-15581	8	2	,	,	PUNCT
ajst-15581	8	3	the	the	DET
ajst-15581	8	4	input	input	NOUN
ajst-15581	8	5	parameters	parameter	NOUN
ajst-15581	8	6	of	of	ADP
ajst-15581	8	7	the	the	DET
ajst-15581	8	8	model	model	NOUN
ajst-15581	8	9	were	be	AUX
ajst-15581	8	10	optimized	optimize	VERB
ajst-15581	8	11	by	by	ADP
ajst-15581	8	12	the	the	DET
ajst-15581	8	13	principal	principal	ADJ
ajst-15581	8	14	component	component	NOUN
ajst-15581	8	15	analysis	analysis	NOUN
ajst-15581	8	16	method	method	NOUN
ajst-15581	8	17	to	to	PART
ajst-15581	8	18	realize	realize	VERB
ajst-15581	8	19	the	the	DET
ajst-15581	8	20	intelligent	intelligent	ADJ
ajst-15581	8	21	identification	identification	NOUN
ajst-15581	8	22	of	of	ADP
ajst-15581	8	23	the	the	DET
ajst-15581	8	24	stratum	stratum	NOUN
ajst-15581	8	25	sub	sub	NOUN
ajst-15581	8	26	-	-	NOUN
ajst-15581	8	27	layer	layer	NOUN
ajst-15581	8	28	.	.	PUNCT
ajst-15581	9	1	the	the	DET
ajst-15581	9	2	application	application	NOUN
ajst-15581	9	3	results	result	NOUN
ajst-15581	9	4	of	of	ADP
ajst-15581	9	5	a	a	DET
ajst-15581	9	6	certain	certain	ADJ
ajst-15581	9	7	block	block	NOUN
ajst-15581	9	8	in	in	ADP
ajst-15581	9	9	the	the	DET
ajst-15581	9	10	central	central	PROPN
ajst-15581	9	11	bohai	bohai	PROPN
ajst-15581	9	12	sea	sea	NOUN
ajst-15581	9	13	oil	oil	NOUN
ajst-15581	9	14	field	field	NOUN
ajst-15581	9	15	showed	show	VERB
ajst-15581	9	16	that	that	SCONJ
ajst-15581	9	17	the	the	DET
ajst-15581	9	18	intelligent	intelligent	ADJ
ajst-15581	9	19	identification	identification	NOUN
ajst-15581	9	20	of	of	ADP
ajst-15581	9	21	stratum	stratum	NOUN
ajst-15581	9	22	sub	sub	ADJ
ajst-15581	9	23	-	-	NOUN
ajst-15581	9	24	layer	layer	NOUN
ajst-15581	9	25	while	while	SCONJ
ajst-15581	9	26	drilling	drilling	NOUN
ajst-15581	9	27	could	could	AUX
ajst-15581	9	28	be	be	AUX
ajst-15581	9	29	realized	realize	VERB
ajst-15581	9	30	.	.	PUNCT
ajst-15581	10	1	the	the	DET
ajst-15581	10	2	use	use	NOUN
ajst-15581	10	3	of	of	ADP
ajst-15581	10	4	the	the	DET
ajst-15581	10	5	model	model	NOUN
ajst-15581	10	6	and	and	CCONJ
ajst-15581	10	7	combination	combination	NOUN
ajst-15581	10	8	of	of	ADP
ajst-15581	10	9	the	the	DET
ajst-15581	10	10	logging	logging	NOUN
ajst-15581	10	11	while	while	SCONJ
ajst-15581	10	12	drilling	drill	VERB
ajst-15581	10	13	data	datum	NOUN
ajst-15581	10	14	with	with	ADP
ajst-15581	10	15	high	high	ADJ
ajst-15581	10	16	recognition	recognition	NOUN
ajst-15581	10	17	accuracy	accuracy	NOUN
ajst-15581	10	18	provided	provide	VERB
ajst-15581	10	19	a	a	DET
ajst-15581	10	20	crucial	crucial	ADJ
ajst-15581	10	21	theoretical	theoretical	ADJ
ajst-15581	10	22	model	model	NOUN
ajst-15581	10	23	for	for	ADP
ajst-15581	10	24	the	the	DET
ajst-15581	10	25	transformation	transformation	NOUN
ajst-15581	10	26	of	of	ADP
ajst-15581	10	27	stratum	stratum	NOUN
ajst-15581	10	28	sub	sub	ADJ
ajst-15581	10	29	-	-	ADJ
ajst-15581	10	30	layer	layer	ADJ
ajst-15581	10	31	identification	identification	NOUN
ajst-15581	10	32	technology	technology	NOUN
ajst-15581	10	33	.	.	PUNCT
ajst-15581	11	1	keywords	keyword	NOUN
ajst-15581	11	2	:	:	PUNCT
ajst-15581	11	3	logging	log	VERB
ajst-15581	11	4	while	while	SCONJ
ajst-15581	11	5	drilling	drilling	NOUN
ajst-15581	11	6	;	;	PUNCT
ajst-15581	11	7	sub	sub	ADJ
ajst-15581	11	8	-	-	ADJ
ajst-15581	11	9	layer	layer	ADJ
ajst-15581	11	10	division	division	NOUN
ajst-15581	11	11	;	;	PUNCT
ajst-15581	11	12	lightgbm	lightgbm	ADJ
ajst-15581	11	13	;	;	PUNCT
ajst-15581	11	14	parameter	parameter	NOUN
ajst-15581	11	15	optimization	optimization	NOUN
ajst-15581	11	16	;	;	PUNCT
ajst-15581	11	17	intelligent	intelligent	ADJ
ajst-15581	11	18	identification	identification	NOUN
ajst-15581	11	19	.	.	PUNCT
ajst-15581	12	1	1	1	X
ajst-15581	12	2	.	.	X
ajst-15581	12	3	introduction	introduction	NOUN
ajst-15581	12	4	during	during	ADP
ajst-15581	12	5	the	the	DET
ajst-15581	12	6	oil	oil	NOUN
ajst-15581	12	7	and	and	CCONJ
ajst-15581	12	8	gas	gas	NOUN
ajst-15581	12	9	drilling	drilling	NOUN
ajst-15581	12	10	,	,	PUNCT
ajst-15581	12	11	the	the	DET
ajst-15581	12	12	bit	bit	NOUN
ajst-15581	12	13	crushes	crush	VERB
ajst-15581	12	14	rocks	rock	NOUN
ajst-15581	12	15	in	in	ADP
ajst-15581	12	16	the	the	DET
ajst-15581	12	17	stratum	stratum	NOUN
ajst-15581	12	18	and	and	CCONJ
ajst-15581	12	19	drills	drill	VERB
ajst-15581	12	20	through	through	ADP
ajst-15581	12	21	different	different	ADJ
ajst-15581	12	22	strata	strata	NOUN
ajst-15581	12	23	until	until	ADP
ajst-15581	12	24	reaching	reach	VERB
ajst-15581	12	25	the	the	DET
ajst-15581	12	26	target	target	NOUN
ajst-15581	12	27	.	.	PUNCT
ajst-15581	13	1	different	different	ADJ
ajst-15581	13	2	strata	strata	NOUN
ajst-15581	13	3	have	have	VERB
ajst-15581	13	4	different	different	ADJ
ajst-15581	13	5	drilling	drilling	NOUN
ajst-15581	13	6	characteristics	characteristic	NOUN
ajst-15581	13	7	,	,	PUNCT
ajst-15581	13	8	related	relate	VERB
ajst-15581	13	9	to	to	ADP
ajst-15581	13	10	oil	oil	NOUN
ajst-15581	13	11	and	and	CCONJ
ajst-15581	13	12	gas	gas	NOUN
ajst-15581	13	13	capacity	capacity	NOUN
ajst-15581	13	14	and	and	CCONJ
ajst-15581	13	15	drilling	drilling	NOUN
ajst-15581	13	16	accidents	accident	NOUN
ajst-15581	13	17	.	.	PUNCT
ajst-15581	14	1	therefore	therefore	ADV
ajst-15581	14	2	,	,	PUNCT
ajst-15581	14	3	precisely	precisely	ADV
ajst-15581	14	4	identifying	identify	VERB
ajst-15581	14	5	strata	strata	NOUN
ajst-15581	14	6	provides	provide	VERB
ajst-15581	14	7	an	an	DET
ajst-15581	14	8	important	important	ADJ
ajst-15581	14	9	guarantee	guarantee	NOUN
ajst-15581	14	10	for	for	ADP
ajst-15581	14	11	the	the	DET
ajst-15581	14	12	correct	correct	ADJ
ajst-15581	14	13	selection	selection	NOUN
ajst-15581	14	14	of	of	ADP
ajst-15581	14	15	construction	construction	NOUN
ajst-15581	14	16	parameters	parameter	NOUN
ajst-15581	14	17	,	,	PUNCT
ajst-15581	14	18	ensuring	ensure	VERB
ajst-15581	14	19	drilling	drilling	NOUN
ajst-15581	14	20	safety	safety	NOUN
ajst-15581	14	21	and	and	CCONJ
ajst-15581	14	22	improving	improve	VERB
ajst-15581	14	23	oil	oil	NOUN
ajst-15581	14	24	and	and	CCONJ
ajst-15581	14	25	gas	gas	NOUN
ajst-15581	14	26	exploration	exploration	NOUN
ajst-15581	14	27	efficiency	efficiency	NOUN
ajst-15581	14	28	.	.	PUNCT
ajst-15581	15	1	there	there	PRON
ajst-15581	15	2	are	be	VERB
ajst-15581	15	3	two	two	NUM
ajst-15581	15	4	traditional	traditional	ADJ
ajst-15581	15	5	stratum	stratum	NOUN
ajst-15581	15	6	identification	identification	NOUN
ajst-15581	15	7	methods	method	NOUN
ajst-15581	15	8	in	in	ADP
ajst-15581	15	9	the	the	DET
ajst-15581	15	10	oil	oil	NOUN
ajst-15581	15	11	drilling	drilling	NOUN
ajst-15581	15	12	site	site	NOUN
ajst-15581	15	13	.	.	PUNCT
ajst-15581	16	1	the	the	DET
ajst-15581	16	2	first	first	ADJ
ajst-15581	16	3	method	method	NOUN
ajst-15581	16	4	is	be	AUX
ajst-15581	16	5	to	to	PART
ajst-15581	16	6	collect	collect	VERB
ajst-15581	16	7	and	and	CCONJ
ajst-15581	16	8	observe	observe	VERB
ajst-15581	16	9	rock	rock	NOUN
ajst-15581	16	10	residues	residue	NOUN
ajst-15581	16	11	from	from	ADP
ajst-15581	16	12	rock	rock	NOUN
ajst-15581	16	13	crushing	crush	VERB
ajst-15581	16	14	during	during	ADP
ajst-15581	16	15	drilling	drilling	NOUN
ajst-15581	16	16	.	.	PUNCT
ajst-15581	17	1	the	the	DET
ajst-15581	17	2	second	second	ADJ
ajst-15581	17	3	method	method	NOUN
ajst-15581	17	4	is	be	AUX
ajst-15581	17	5	to	to	PART
ajst-15581	17	6	conduct	conduct	VERB
ajst-15581	17	7	laboratory	laboratory	NOUN
ajst-15581	17	8	analysis	analysis	NOUN
ajst-15581	17	9	and	and	CCONJ
ajst-15581	17	10	tests	test	NOUN
ajst-15581	17	11	on	on	ADP
ajst-15581	17	12	the	the	DET
ajst-15581	17	13	core	core	NOUN
ajst-15581	17	14	of	of	ADP
ajst-15581	17	15	the	the	DET
ajst-15581	17	16	rock	rock	NOUN
ajst-15581	17	17	taken	take	VERB
ajst-15581	17	18	from	from	ADP
ajst-15581	17	19	the	the	DET
ajst-15581	17	20	reservoir	reservoir	NOUN
ajst-15581	17	21	stratum	stratum	NOUN
ajst-15581	17	22	.	.	PUNCT
ajst-15581	18	1	these	these	DET
ajst-15581	18	2	methods	method	NOUN
ajst-15581	18	3	put	put	VERB
ajst-15581	18	4	high	high	ADJ
ajst-15581	18	5	requirements	requirement	NOUN
ajst-15581	18	6	on	on	ADP
ajst-15581	18	7	the	the	DET
ajst-15581	18	8	staff	staff	NOUN
ajst-15581	18	9	and	and	CCONJ
ajst-15581	18	10	are	be	AUX
ajst-15581	18	11	prone	prone	ADJ
ajst-15581	18	12	to	to	ADP
ajst-15581	18	13	low	low	ADJ
ajst-15581	18	14	accuracy	accuracy	NOUN
ajst-15581	18	15	,	,	PUNCT
ajst-15581	18	16	heavy	heavy	ADJ
ajst-15581	18	17	workload	workload	NOUN
ajst-15581	18	18	,	,	PUNCT
ajst-15581	18	19	and	and	CCONJ
ajst-15581	18	20	high	high	ADJ
ajst-15581	18	21	cost	cost	NOUN
ajst-15581	18	22	of	of	ADP
ajst-15581	18	23	rocks	rock	NOUN
ajst-15581	18	24	core	core	NOUN
ajst-15581	18	25	analysis	analysis	NOUN
ajst-15581	18	26	.	.	PUNCT
ajst-15581	19	1	[	[	X
ajst-15581	19	2	1	1	X
ajst-15581	19	3	]	]	PUNCT
ajst-15581	19	4	in	in	ADP
ajst-15581	19	5	recent	recent	ADJ
ajst-15581	19	6	years	year	NOUN
ajst-15581	19	7	,	,	PUNCT
ajst-15581	19	8	the	the	DET
ajst-15581	19	9	steady	steady	ADJ
ajst-15581	19	10	improvement	improvement	NOUN
ajst-15581	19	11	of	of	ADP
ajst-15581	19	12	logging	log	VERB
ajst-15581	19	13	while	while	SCONJ
ajst-15581	19	14	drilling	drilling	NOUN
ajst-15581	19	15	(	(	PUNCT
ajst-15581	19	16	lwd	lwd	NOUN
ajst-15581	19	17	)	)	PUNCT
ajst-15581	19	18	technology	technology	NOUN
ajst-15581	19	19	has	have	AUX
ajst-15581	19	20	provided	provide	VERB
ajst-15581	19	21	site	site	NOUN
ajst-15581	19	22	petroleum	petroleum	NOUN
ajst-15581	19	23	geological	geological	ADJ
ajst-15581	19	24	experts	expert	NOUN
ajst-15581	19	25	with	with	ADP
ajst-15581	19	26	a	a	DET
ajst-15581	19	27	comprehensive	comprehensive	ADJ
ajst-15581	19	28	and	and	CCONJ
ajst-15581	19	29	accurate	accurate	ADJ
ajst-15581	19	30	basic	basic	ADJ
ajst-15581	19	31	data	datum	NOUN
ajst-15581	19	32	source	source	NOUN
ajst-15581	19	33	to	to	PART
ajst-15581	19	34	identify	identify	VERB
ajst-15581	19	35	sub	sub	NOUN
ajst-15581	19	36	-	-	NOUN
ajst-15581	19	37	layers.[2	layers.[2	PRON
ajst-15581	19	38	]	]	PUNCT
ajst-15581	19	39	scholars	scholar	NOUN
ajst-15581	19	40	conducted	conduct	VERB
ajst-15581	19	41	research	research	NOUN
ajst-15581	19	42	and	and	CCONJ
ajst-15581	19	43	enriched	enrich	VERB
ajst-15581	19	44	the	the	DET
ajst-15581	19	45	identification	identification	NOUN
ajst-15581	19	46	methods	method	NOUN
ajst-15581	19	47	of	of	ADP
ajst-15581	19	48	the	the	DET
ajst-15581	19	49	stratum	stratum	NOUN
ajst-15581	20	1	sub	sub	ADJ
ajst-15581	20	2	-	-	NOUN
ajst-15581	20	3	layer	layer	NOUN
ajst-15581	20	4	while	while	SCONJ
ajst-15581	20	5	drilling	drill	VERB
ajst-15581	20	6	.	.	PUNCT
ajst-15581	21	1	[	[	X
ajst-15581	21	2	3	3	X
ajst-15581	21	3	]	]	PUNCT
ajst-15581	21	4	~	~	PUNCT
ajst-15581	21	5	[	[	X
ajst-15581	21	6	5	5	NUM
ajst-15581	21	7	]	]	PUNCT
ajst-15581	21	8	in	in	ADP
ajst-15581	21	9	addition	addition	NOUN
ajst-15581	21	10	to	to	ADP
ajst-15581	21	11	the	the	DET
ajst-15581	21	12	excellent	excellent	ADJ
ajst-15581	21	13	prediction	prediction	NOUN
ajst-15581	21	14	,	,	PUNCT
ajst-15581	21	15	analysis	analysis	NOUN
ajst-15581	21	16	,	,	PUNCT
ajst-15581	21	17	and	and	CCONJ
ajst-15581	21	18	calculation	calculation	NOUN
ajst-15581	21	19	capabilities	capability	NOUN
ajst-15581	21	20	,	,	PUNCT
ajst-15581	21	21	the	the	DET
ajst-15581	21	22	use	use	NOUN
ajst-15581	21	23	of	of	ADP
ajst-15581	21	24	computer	computer	NOUN
ajst-15581	21	25	and	and	CCONJ
ajst-15581	21	26	artificial	artificial	ADJ
ajst-15581	21	27	intelligence	intelligence	NOUN
ajst-15581	21	28	in	in	ADP
ajst-15581	21	29	the	the	DET
ajst-15581	21	30	petroleum	petroleum	NOUN
ajst-15581	21	31	industry	industry	NOUN
ajst-15581	21	32	makes	make	VERB
ajst-15581	21	33	the	the	DET
ajst-15581	21	34	identification	identification	NOUN
ajst-15581	21	35	technology	technology	NOUN
ajst-15581	21	36	of	of	ADP
ajst-15581	21	37	the	the	DET
ajst-15581	21	38	stratum	stratum	NOUN
ajst-15581	21	39	sub	sub	ADJ
ajst-15581	21	40	-	-	ADJ
ajst-15581	21	41	layer	layer	NOUN
ajst-15581	21	42	actively	actively	ADV
ajst-15581	21	43	move	move	VERB
ajst-15581	21	44	towards	towards	ADP
ajst-15581	21	45	intelligence	intelligence	NOUN
ajst-15581	21	46	.	.	PUNCT
ajst-15581	22	1	pedram	pedram	NOUN
ajst-15581	22	2	masoudi	masoudi	ADJ
ajst-15581	23	1	[	[	X
ajst-15581	23	2	6	6	NUM
ajst-15581	23	3	]	]	PUNCT
ajst-15581	23	4	et	et	PROPN
ajst-15581	23	5	al	al	PROPN
ajst-15581	23	6	.	.	PROPN
ajst-15581	23	7	applied	apply	VERB
ajst-15581	23	8	a	a	DET
ajst-15581	23	9	neural	neural	ADJ
ajst-15581	23	10	network	network	NOUN
ajst-15581	23	11	to	to	PART
ajst-15581	23	12	classify	classify	VERB
ajst-15581	23	13	and	and	CCONJ
ajst-15581	23	14	identify	identify	VERB
ajst-15581	23	15	oil	oil	NOUN
ajst-15581	23	16	layers	layer	NOUN
ajst-15581	23	17	in	in	ADP
ajst-15581	23	18	a	a	DET
ajst-15581	23	19	carbonate	carbonate	NOUN
ajst-15581	23	20	environment	environment	NOUN
ajst-15581	23	21	.	.	PUNCT
ajst-15581	24	1	the	the	DET
ajst-15581	24	2	results	result	NOUN
ajst-15581	24	3	showed	show	VERB
ajst-15581	24	4	that	that	SCONJ
ajst-15581	24	5	the	the	DET
ajst-15581	24	6	classification	classification	NOUN
ajst-15581	24	7	accuracy	accuracy	NOUN
ajst-15581	24	8	obtained	obtain	VERB
ajst-15581	24	9	by	by	ADP
ajst-15581	24	10	the	the	DET
ajst-15581	24	11	neural	neural	ADJ
ajst-15581	24	12	network	network	NOUN
ajst-15581	24	13	method	method	NOUN
ajst-15581	24	14	was	be	AUX
ajst-15581	24	15	85	85	NUM
ajst-15581	24	16	%	%	NOUN
ajst-15581	24	17	higher	high	ADJ
ajst-15581	24	18	than	than	ADP
ajst-15581	24	19	that	that	PRON
ajst-15581	24	20	obtained	obtain	VERB
ajst-15581	24	21	by	by	ADP
ajst-15581	24	22	the	the	DET
ajst-15581	24	23	geological	geological	ADJ
ajst-15581	24	24	method	method	NOUN
ajst-15581	24	25	.	.	PUNCT
ajst-15581	25	1	ahmed	ahmed	PROPN
ajst-15581	25	2	ali	ali	PROPN
ajst-15581	25	3	zerrouki	zerrouki	PROPN
ajst-15581	26	1	[	[	X
ajst-15581	26	2	7	7	NUM
ajst-15581	26	3	]	]	PUNCT
ajst-15581	26	4	et	et	PROPN
ajst-15581	26	5	al	al	PROPN
ajst-15581	26	6	.	.	PROPN
ajst-15581	26	7	proposed	propose	VERB
ajst-15581	26	8	a	a	DET
ajst-15581	26	9	method	method	NOUN
ajst-15581	26	10	to	to	PART
ajst-15581	26	11	predict	predict	VERB
ajst-15581	26	12	fracture	fracture	NOUN
ajst-15581	26	13	porosity	porosity	NOUN
ajst-15581	26	14	by	by	ADP
ajst-15581	26	15	fuzzy	fuzzy	ADJ
ajst-15581	26	16	sorting	sorting	NOUN
ajst-15581	26	17	and	and	CCONJ
ajst-15581	26	18	the	the	DET
ajst-15581	26	19	artificial	artificial	ADJ
ajst-15581	26	20	neural	neural	ADJ
ajst-15581	26	21	network	network	NOUN
ajst-15581	26	22	.	.	PUNCT
ajst-15581	27	1	baijie	baijie	PROPN
ajst-15581	27	2	wang	wang	PROPN
ajst-15581	28	1	[	[	X
ajst-15581	28	2	8	8	NUM
ajst-15581	28	3	]	]	PUNCT
ajst-15581	28	4	et	et	PROPN
ajst-15581	28	5	al	al	PROPN
ajst-15581	28	6	.	.	PROPN
ajst-15581	28	7	proposed	propose	VERB
ajst-15581	28	8	an	an	DET
ajst-15581	28	9	intelligent	intelligent	ADJ
ajst-15581	28	10	framework	framework	NOUN
ajst-15581	28	11	integrating	integrate	VERB
ajst-15581	28	12	fuzzy	fuzzy	ADJ
ajst-15581	28	13	sorting	sorting	NOUN
ajst-15581	28	14	and	and	CCONJ
ajst-15581	28	15	a	a	DET
ajst-15581	28	16	multilayer	multilayer	ADJ
ajst-15581	28	17	perceptron	perceptron	PROPN
ajst-15581	28	18	neural	neural	ADJ
ajst-15581	28	19	network	network	NOUN
ajst-15581	28	20	.	.	PUNCT
ajst-15581	29	1	these	these	DET
ajst-15581	29	2	experiments	experiment	NOUN
ajst-15581	29	3	show	show	VERB
ajst-15581	29	4	that	that	SCONJ
ajst-15581	29	5	the	the	DET
ajst-15581	29	6	framework	framework	NOUN
ajst-15581	29	7	is	be	AUX
ajst-15581	29	8	capable	capable	ADJ
ajst-15581	29	9	of	of	ADP
ajst-15581	29	10	distinguishing	distinguish	VERB
ajst-15581	29	11	the	the	DET
ajst-15581	29	12	characteristics	characteristic	NOUN
ajst-15581	29	13	of	of	ADP
ajst-15581	29	14	reservoirs	reservoir	NOUN
ajst-15581	29	15	.	.	PUNCT
ajst-15581	30	1	réda	réda	PROPN
ajst-15581	30	2	samy	samy	PROPN
ajst-15581	30	3	zazoun	zazoun	PROPN
ajst-15581	31	1	[	[	X
ajst-15581	31	2	9	9	NUM
ajst-15581	31	3	]	]	PUNCT
ajst-15581	31	4	et	et	PROPN
ajst-15581	31	5	al	al	PROPN
ajst-15581	31	6	.	.	PROPN
ajst-15581	31	7	applied	apply	VERB
ajst-15581	31	8	a	a	DET
ajst-15581	31	9	conjugate	conjugate	ADJ
ajst-15581	31	10	gradient	gradient	ADJ
ajst-15581	31	11	descent	descent	NOUN
ajst-15581	31	12	algorithm	algorithm	NOUN
ajst-15581	31	13	to	to	PART
ajst-15581	31	14	train	train	VERB
ajst-15581	31	15	the	the	DET
ajst-15581	31	16	neural	neural	ADJ
ajst-15581	31	17	network	network	NOUN
ajst-15581	31	18	and	and	CCONJ
ajst-15581	31	19	predicted	predict	VERB
ajst-15581	31	20	fractured	fractured	ADJ
ajst-15581	31	21	reservoirs	reservoir	NOUN
ajst-15581	31	22	.	.	PUNCT
ajst-15581	32	1	data	datum	NOUN
ajst-15581	32	2	showed	show	VERB
ajst-15581	32	3	that	that	SCONJ
ajst-15581	32	4	experimental	experimental	ADJ
ajst-15581	32	5	predictions	prediction	NOUN
ajst-15581	32	6	were	be	AUX
ajst-15581	32	7	in	in	ADP
ajst-15581	32	8	line	line	NOUN
ajst-15581	32	9	with	with	ADP
ajst-15581	32	10	the	the	DET
ajst-15581	32	11	actual	actual	ADJ
ajst-15581	32	12	results	result	NOUN
ajst-15581	32	13	.	.	PUNCT
ajst-15581	33	1	yunxin	yunxin	PROPN
ajst-15581	33	2	xie	xie	PROPN
ajst-15581	34	1	[	[	X
ajst-15581	34	2	10	10	NUM
ajst-15581	34	3	]	]	PUNCT
ajst-15581	34	4	et	et	PROPN
ajst-15581	34	5	al	al	PROPN
ajst-15581	34	6	.	.	PROPN
ajst-15581	34	7	applied	apply	VERB
ajst-15581	34	8	five	five	NUM
ajst-15581	34	9	typical	typical	ADJ
ajst-15581	34	10	machine	machine	NOUN
ajst-15581	34	11	learning	learning	NOUN
ajst-15581	34	12	methods	method	NOUN
ajst-15581	34	13	,	,	PUNCT
ajst-15581	34	14	including	include	VERB
ajst-15581	34	15	naive	naive	ADJ
ajst-15581	34	16	bayes	bayes	NOUN
ajst-15581	34	17	,	,	PUNCT
ajst-15581	34	18	support	support	VERB
ajst-15581	34	19	vector	vector	NOUN
ajst-15581	34	20	machines	machine	NOUN
ajst-15581	34	21	,	,	PUNCT
ajst-15581	34	22	artificial	artificial	ADJ
ajst-15581	34	23	neural	neural	ADJ
ajst-15581	34	24	networks	network	NOUN
ajst-15581	34	25	,	,	PUNCT
ajst-15581	34	26	random	random	ADJ
ajst-15581	34	27	forests	forest	NOUN
ajst-15581	34	28	,	,	PUNCT
ajst-15581	34	29	and	and	CCONJ
ajst-15581	34	30	gradient	gradient	NOUN
ajst-15581	34	31	tree	tree	NOUN
ajst-15581	34	32	lifting	lifting	NOUN
ajst-15581	34	33	,	,	PUNCT
ajst-15581	34	34	to	to	PART
ajst-15581	34	35	identify	identify	VERB
ajst-15581	34	36	and	and	CCONJ
ajst-15581	34	37	evaluate	evaluate	VERB
ajst-15581	34	38	stratum	stratum	NOUN
ajst-15581	34	39	lithology	lithology	NOUN
ajst-15581	34	40	.	.	PUNCT
ajst-15581	35	1	through	through	ADP
ajst-15581	35	2	comparing	compare	VERB
ajst-15581	35	3	and	and	CCONJ
ajst-15581	35	4	analyzing	analyze	VERB
ajst-15581	35	5	the	the	DET
ajst-15581	35	6	classification	classification	NOUN
ajst-15581	35	7	of	of	ADP
ajst-15581	35	8	different	different	ADJ
ajst-15581	35	9	models	model	NOUN
ajst-15581	35	10	,	,	PUNCT
ajst-15581	35	11	the	the	DET
ajst-15581	35	12	results	result	NOUN
ajst-15581	35	13	show	show	VERB
ajst-15581	35	14	that	that	SCONJ
ajst-15581	35	15	random	random	ADJ
ajst-15581	35	16	forest	forest	NOUN
ajst-15581	35	17	and	and	CCONJ
ajst-15581	35	18	gradient	gradient	NOUN
ajst-15581	35	19	lifting	lifting	NOUN
ajst-15581	35	20	tree	tree	NOUN
ajst-15581	35	21	are	be	AUX
ajst-15581	35	22	two	two	NUM
ajst-15581	35	23	prominent	prominent	ADJ
ajst-15581	35	24	algorithm	algorithm	NOUN
ajst-15581	35	25	choices	choice	NOUN
ajst-15581	35	26	.	.	PUNCT
ajst-15581	36	1	zhang	zhang	PROPN
ajst-15581	36	2	h	h	PROPN
ajst-15581	37	1	[	[	X
ajst-15581	37	2	11	11	NUM
ajst-15581	37	3	]	]	PUNCT
ajst-15581	37	4	et	et	PROPN
ajst-15581	37	5	al	al	PROPN
ajst-15581	37	6	.	.	PROPN
ajst-15581	37	7	established	establish	VERB
ajst-15581	37	8	a	a	DET
ajst-15581	37	9	reasoning	reasoning	NOUN
ajst-15581	37	10	model	model	NOUN
ajst-15581	37	11	for	for	ADP
ajst-15581	37	12	intelligent	intelligent	ADJ
ajst-15581	37	13	recognition	recognition	NOUN
ajst-15581	37	14	of	of	ADP
ajst-15581	37	15	stratum	stratum	NOUN
ajst-15581	37	16	lithology	lithology	NOUN
ajst-15581	37	17	using	use	VERB
ajst-15581	37	18	the	the	DET
ajst-15581	37	19	improved	improve	VERB
ajst-15581	37	20	fuzzy	fuzzy	ADJ
ajst-15581	37	21	clustering	clustering	ADJ
ajst-15581	37	22	algorithm	algorithm	NOUN
ajst-15581	37	23	svm	svm	NOUN
ajst-15581	37	24	method	method	NOUN
ajst-15581	37	25	.	.	PUNCT
ajst-15581	38	1	the	the	DET
ajst-15581	38	2	site	site	NOUN
ajst-15581	38	3	application	application	NOUN
ajst-15581	38	4	showed	show	VERB
ajst-15581	38	5	that	that	SCONJ
ajst-15581	38	6	the	the	DET
ajst-15581	38	7	accuracy	accuracy	NOUN
ajst-15581	38	8	of	of	ADP
ajst-15581	38	9	the	the	DET
ajst-15581	38	10	stratum	stratum	NOUN
ajst-15581	38	11	recognition	recognition	NOUN
ajst-15581	38	12	method	method	NOUN
ajst-15581	38	13	can	can	AUX
ajst-15581	38	14	reach	reach	VERB
ajst-15581	38	15	90.9	90.9	NUM
ajst-15581	38	16	%	%	NOUN
ajst-15581	38	17	.	.	PUNCT
ajst-15581	39	1	zhou	zhou	PROPN
ajst-15581	39	2	jinhui	jinhui	PROPN
ajst-15581	40	1	[	[	X
ajst-15581	40	2	12	12	NUM
ajst-15581	40	3	]	]	PUNCT
ajst-15581	40	4	et	et	PROPN
ajst-15581	40	5	al	al	PROPN
ajst-15581	40	6	.	.	PROPN
ajst-15581	40	7	designed	design	VERB
ajst-15581	40	8	the	the	DET
ajst-15581	40	9	structure	structure	NOUN
ajst-15581	40	10	and	and	CCONJ
ajst-15581	40	11	output	output	NOUN
ajst-15581	40	12	mode	mode	NOUN
ajst-15581	40	13	of	of	ADP
ajst-15581	40	14	the	the	DET
ajst-15581	40	15	three	three	NUM
ajst-15581	40	16	-	-	PUNCT
ajst-15581	40	17	layer	layer	NOUN
ajst-15581	40	18	feedback	feedback	NOUN
ajst-15581	40	19	-	-	PUNCT
ajst-15581	40	20	free	free	ADJ
ajst-15581	40	21	feedforward	feedforward	ADJ
ajst-15581	40	22	artificial	artificial	ADJ
ajst-15581	40	23	neural	neural	ADJ
ajst-15581	40	24	network	network	NOUN
ajst-15581	40	25	model	model	NOUN
ajst-15581	40	26	.	.	PUNCT
ajst-15581	41	1	the	the	DET
ajst-15581	41	2	dynamic	dynamic	ADJ
ajst-15581	41	3	information	information	NOUN
ajst-15581	41	4	,	,	PUNCT
ajst-15581	41	5	including	include	VERB
ajst-15581	41	6	drilling	drilling	NOUN
ajst-15581	41	7	rate	rate	NOUN
ajst-15581	41	8	,	,	PUNCT
ajst-15581	41	9	bit	bit	NOUN
ajst-15581	41	10	pressure	pressure	NOUN
ajst-15581	41	11	,	,	PUNCT
ajst-15581	41	12	and	and	CCONJ
ajst-15581	41	13	torque	torque	NOUN
ajst-15581	41	14	collected	collect	VERB
ajst-15581	41	15	by	by	ADP
ajst-15581	41	16	the	the	DET
ajst-15581	41	17	input	input	NOUN
ajst-15581	41	18	sensor	sensor	NOUN
ajst-15581	41	19	was	be	AUX
ajst-15581	41	20	collected	collect	VERB
ajst-15581	41	21	to	to	PART
ajst-15581	41	22	identify	identify	VERB
ajst-15581	41	23	the	the	DET
ajst-15581	41	24	drilled	drill	VERB
ajst-15581	41	25	stratum	stratum	NOUN
ajst-15581	41	26	,	,	PUNCT
ajst-15581	41	27	showing	show	VERB
ajst-15581	41	28	high	high	ADJ
ajst-15581	41	29	performance	performance	NOUN
ajst-15581	41	30	.	.	PUNCT
ajst-15581	42	1	to	to	PART
ajst-15581	42	2	solve	solve	VERB
ajst-15581	42	3	the	the	DET
ajst-15581	42	4	problem	problem	NOUN
ajst-15581	42	5	of	of	ADP
ajst-15581	42	6	low	low	ADJ
ajst-15581	42	7	accuracy	accuracy	NOUN
ajst-15581	42	8	in	in	ADP
ajst-15581	42	9	identifying	identify	VERB
ajst-15581	42	10	stratum	stratum	NOUN
ajst-15581	42	11	by	by	ADP
ajst-15581	42	12	logging	log	VERB
ajst-15581	42	13	data	datum	NOUN
ajst-15581	42	14	,	,	PUNCT
ajst-15581	42	15	xia	xia	PROPN
ajst-15581	42	16	hongquan	hongquan	PROPN
ajst-15581	43	1	[	[	X
ajst-15581	43	2	13	13	NUM
ajst-15581	43	3	]	]	PUNCT
ajst-15581	43	4	et	et	PROPN
ajst-15581	43	5	al	al	PROPN
ajst-15581	43	6	.	.	PROPN
ajst-15581	43	7	optimized	optimize	VERB
ajst-15581	43	8	the	the	DET
ajst-15581	43	9	parameters	parameter	NOUN
ajst-15581	43	10	of	of	ADP
ajst-15581	43	11	the	the	DET
ajst-15581	43	12	data	datum	NOUN
ajst-15581	43	13	while	while	SCONJ
ajst-15581	43	14	drilling	drilling	NOUN
ajst-15581	43	15	,	,	PUNCT
ajst-15581	43	16	combined	combine	VERB
ajst-15581	43	17	with	with	ADP
ajst-15581	43	18	the	the	DET
ajst-15581	43	19	logging	log	VERB
ajst-15581	43	20	data	datum	NOUN
ajst-15581	43	21	while	while	SCONJ
ajst-15581	43	22	drilling	drilling	NOUN
ajst-15581	43	23	,	,	PUNCT
ajst-15581	43	24	and	and	CCONJ
ajst-15581	43	25	finally	finally	ADV
ajst-15581	43	26	processed	process	VERB
ajst-15581	43	27	the	the	DET
ajst-15581	43	28	data	datum	NOUN
ajst-15581	43	29	while	while	SCONJ
ajst-15581	43	30	drilling	drill	VERB
ajst-15581	43	31	in	in	ADP
ajst-15581	43	32	real	real	ADJ
ajst-15581	43	33	time	time	NOUN
ajst-15581	43	34	using	use	VERB
ajst-15581	43	35	gray	gray	ADJ
ajst-15581	43	36	correlation	correlation	NOUN
ajst-15581	43	37	analysis	analysis	NOUN
ajst-15581	43	38	.	.	PUNCT
ajst-15581	44	1	this	this	PRON
ajst-15581	44	2	improved	improve	VERB
ajst-15581	44	3	the	the	DET
ajst-15581	44	4	capability	capability	NOUN
ajst-15581	44	5	of	of	ADP
ajst-15581	44	6	tracking	track	VERB
ajst-15581	44	7	the	the	DET
ajst-15581	44	8	geological	geological	ADJ
ajst-15581	44	9	target	target	NOUN
ajst-15581	44	10	layer	layer	NOUN
ajst-15581	44	11	in	in	ADP
ajst-15581	44	12	horizontal	horizontal	ADJ
ajst-15581	44	13	well	well	ADJ
ajst-15581	44	14	drilling	drilling	NOUN
ajst-15581	44	15	.	.	PUNCT
ajst-15581	45	1	combining	combine	VERB
ajst-15581	45	2	the	the	DET
ajst-15581	45	3	advantages	advantage	NOUN
ajst-15581	45	4	of	of	ADP
ajst-15581	45	5	logging	log	VERB
ajst-15581	45	6	information	information	NOUN
ajst-15581	45	7	and	and	CCONJ
ajst-15581	45	8	logging	log	VERB
ajst-15581	45	9	data	datum	NOUN
ajst-15581	45	10	,	,	PUNCT
ajst-15581	45	11	yang	yang	PROPN
ajst-15581	45	12	sitong	sitong	PROPN
ajst-15581	46	1	[	[	X
ajst-15581	46	2	14	14	NUM
ajst-15581	46	3	]	]	PUNCT
ajst-15581	46	4	et	et	PROPN
ajst-15581	46	5	al	al	PROPN
ajst-15581	46	6	.	.	PROPN
ajst-15581	46	7	used	use	VERB
ajst-15581	46	8	bp	bp	PROPN
ajst-15581	46	9	neural	neural	ADJ
ajst-15581	46	10	network	network	NOUN
ajst-15581	46	11	for	for	ADP
ajst-15581	46	12	comprehensive	comprehensive	ADJ
ajst-15581	46	13	processing	processing	NOUN
ajst-15581	46	14	and	and	CCONJ
ajst-15581	46	15	119	119	NUM
ajst-15581	46	16	realized	realize	VERB
ajst-15581	46	17	the	the	DET
ajst-15581	46	18	oil	oil	NOUN
ajst-15581	46	19	and	and	CCONJ
ajst-15581	46	20	gas	gas	NOUN
ajst-15581	46	21	identification	identification	NOUN
ajst-15581	46	22	in	in	ADP
ajst-15581	46	23	low	low	ADJ
ajst-15581	46	24	porosity	porosity	NOUN
ajst-15581	46	25	and	and	CCONJ
ajst-15581	46	26	low	low	ADJ
ajst-15581	46	27	permeability	permeability	NOUN
ajst-15581	46	28	reservoirs	reservoir	NOUN
ajst-15581	46	29	.	.	PUNCT
ajst-15581	47	1	sebtosheikh	sebtosheikh	NOUN
ajst-15581	47	2	[	[	X
ajst-15581	47	3	15	15	NUM
ajst-15581	47	4	]	]	X
ajst-15581	47	5	et	et	PROPN
ajst-15581	47	6	al	al	PROPN
ajst-15581	47	7	.	.	PROPN
ajst-15581	47	8	applied	apply	VERB
ajst-15581	47	9	a	a	DET
ajst-15581	47	10	support	support	NOUN
ajst-15581	47	11	vector	vector	NOUN
ajst-15581	47	12	machine	machine	NOUN
ajst-15581	47	13	algorithm	algorithm	NOUN
ajst-15581	47	14	to	to	PART
ajst-15581	47	15	successfully	successfully	ADV
ajst-15581	47	16	predict	predict	VERB
ajst-15581	47	17	the	the	DET
ajst-15581	47	18	lithology	lithology	NOUN
ajst-15581	47	19	of	of	ADP
ajst-15581	47	20	heterogeneous	heterogeneous	ADJ
ajst-15581	47	21	carbonate	carbonate	NOUN
ajst-15581	47	22	reservoirs	reservoir	NOUN
ajst-15581	47	23	.	.	PUNCT
ajst-15581	48	1	dong	dong	PROPN
ajst-15581	49	1	[	[	X
ajst-15581	49	2	16	16	NUM
ajst-15581	49	3	]	]	PUNCT
ajst-15581	49	4	et	et	PROPN
ajst-15581	49	5	al	al	PROPN
ajst-15581	49	6	.	.	PROPN
ajst-15581	49	7	applied	apply	VERB
ajst-15581	49	8	the	the	DET
ajst-15581	49	9	improved	improved	ADJ
ajst-15581	49	10	linear	linear	ADJ
ajst-15581	49	11	discriminant	discriminant	ADJ
ajst-15581	49	12	analysis	analysis	NOUN
ajst-15581	49	13	(	(	PUNCT
ajst-15581	49	14	lda	lda	NOUN
ajst-15581	49	15	)	)	PUNCT
ajst-15581	49	16	method	method	NOUN
ajst-15581	49	17	to	to	PART
ajst-15581	49	18	identify	identify	VERB
ajst-15581	49	19	lithology	lithology	NOUN
ajst-15581	49	20	and	and	CCONJ
ajst-15581	49	21	achieved	achieve	VERB
ajst-15581	49	22	good	good	ADJ
ajst-15581	49	23	recognition	recognition	NOUN
ajst-15581	49	24	results	result	VERB
ajst-15581	49	25	through	through	ADP
ajst-15581	49	26	experiments	experiment	NOUN
ajst-15581	49	27	with	with	ADP
ajst-15581	49	28	on	on	ADP
ajst-15581	49	29	-	-	PUNCT
ajst-15581	49	30	site	site	NOUN
ajst-15581	49	31	data	data	NOUN
ajst-15581	49	32	sets	set	NOUN
ajst-15581	49	33	.	.	PUNCT
ajst-15581	50	1	fengqi	fengqi	VERB
ajst-15581	50	2	tan	tan	PROPN
ajst-15581	51	1	[	[	X
ajst-15581	51	2	17	17	NUM
ajst-15581	51	3	]	]	PUNCT
ajst-15581	51	4	et	et	PROPN
ajst-15581	51	5	al	al	PROPN
ajst-15581	51	6	.	.	PROPN
ajst-15581	51	7	compared	compare	VERB
ajst-15581	51	8	and	and	CCONJ
ajst-15581	51	9	analyzed	analyze	VERB
ajst-15581	51	10	four	four	NUM
ajst-15581	51	11	clustering	clustering	ADJ
ajst-15581	51	12	algorithms	algorithm	NOUN
ajst-15581	51	13	for	for	ADP
ajst-15581	51	14	reservoir	reservoir	NOUN
ajst-15581	51	15	classification	classification	NOUN
ajst-15581	51	16	.	.	PUNCT
ajst-15581	52	1	the	the	DET
ajst-15581	52	2	results	result	NOUN
ajst-15581	52	3	show	show	VERB
ajst-15581	52	4	that	that	SCONJ
ajst-15581	52	5	the	the	DET
ajst-15581	52	6	application	application	NOUN
ajst-15581	52	7	of	of	ADP
ajst-15581	52	8	standard	standard	ADJ
ajst-15581	52	9	k	k	ADJ
ajst-15581	52	10	-	-	PUNCT
ajst-15581	52	11	means	means	NOUN
ajst-15581	52	12	algorithm	algorithm	NOUN
ajst-15581	52	13	based	base	VERB
ajst-15581	52	14	on	on	ADP
ajst-15581	52	15	division	division	NOUN
ajst-15581	52	16	can	can	AUX
ajst-15581	52	17	meet	meet	VERB
ajst-15581	52	18	the	the	DET
ajst-15581	52	19	best	good	ADJ
ajst-15581	52	20	fitting	fitting	NOUN
ajst-15581	52	21	of	of	ADP
ajst-15581	52	22	actual	actual	ADJ
ajst-15581	52	23	reservoir	reservoir	NOUN
ajst-15581	52	24	geological	geological	ADJ
ajst-15581	52	25	characteristics	characteristic	NOUN
ajst-15581	52	26	and	and	CCONJ
ajst-15581	52	27	the	the	DET
ajst-15581	52	28	maximum	maximum	ADJ
ajst-15581	52	29	accuracy	accuracy	NOUN
ajst-15581	52	30	of	of	ADP
ajst-15581	52	31	reservoir	reservoir	NOUN
ajst-15581	52	32	classification	classification	NOUN
ajst-15581	52	33	.	.	PUNCT
ajst-15581	53	1	through	through	ADP
ajst-15581	53	2	the	the	DET
ajst-15581	53	3	development	development	NOUN
ajst-15581	53	4	of	of	ADP
ajst-15581	53	5	machine	machine	NOUN
ajst-15581	53	6	learning	learn	VERB
ajst-15581	53	7	technology	technology	NOUN
ajst-15581	53	8	,	,	PUNCT
ajst-15581	53	9	chen	chen	PROPN
ajst-15581	54	1	[	[	X
ajst-15581	54	2	18	18	NUM
ajst-15581	54	3	]	]	PUNCT
ajst-15581	54	4	et	et	PROPN
ajst-15581	54	5	al	al	PROPN
ajst-15581	54	6	.	.	PROPN
ajst-15581	54	7	improved	improve	VERB
ajst-15581	54	8	the	the	DET
ajst-15581	54	9	gradient	gradient	NOUN
ajst-15581	54	10	boosting	boost	VERB
ajst-15581	54	11	decision	decision	NOUN
ajst-15581	54	12	tree	tree	NOUN
ajst-15581	54	13	(	(	PUNCT
ajst-15581	54	14	gbdt	gbdt	NOUN
ajst-15581	54	15	)	)	PUNCT
ajst-15581	54	16	and	and	CCONJ
ajst-15581	54	17	proposed	propose	VERB
ajst-15581	54	18	an	an	DET
ajst-15581	54	19	optimally	optimally	ADV
ajst-15581	54	20	distributed	distribute	VERB
ajst-15581	54	21	decisionmaking	decisionmake	VERB
ajst-15581	54	22	gradient	gradient	NOUN
ajst-15581	54	23	lifting	lift	VERB
ajst-15581	54	24	library	library	NOUN
ajst-15581	54	25	xgboost	xgboost	ADV
ajst-15581	54	26	with	with	ADP
ajst-15581	54	27	high	high	ADJ
ajst-15581	54	28	efficiency	efficiency	NOUN
ajst-15581	54	29	,	,	PUNCT
ajst-15581	54	30	flexibility	flexibility	NOUN
ajst-15581	54	31	,	,	PUNCT
ajst-15581	54	32	and	and	CCONJ
ajst-15581	54	33	portability	portability	NOUN
ajst-15581	54	34	.	.	PUNCT
ajst-15581	55	1	dev	dev	PROPN
ajst-15581	56	1	[	[	X
ajst-15581	56	2	19	19	NUM
ajst-15581	56	3	]	]	PUNCT
ajst-15581	56	4	et	et	PROPN
ajst-15581	56	5	al	al	PROPN
ajst-15581	56	6	.	.	PROPN
ajst-15581	56	7	and	and	CCONJ
ajst-15581	56	8	sun	sun	NOUN
ajst-15581	56	9	[	[	X
ajst-15581	56	10	20	20	NUM
ajst-15581	56	11	]	]	PUNCT
ajst-15581	56	12	et	et	PROPN
ajst-15581	56	13	al	al	PROPN
ajst-15581	56	14	.	.	PROPN
ajst-15581	56	15	adopted	adopt	VERB
ajst-15581	56	16	xgboost	xgboost	ADV
ajst-15581	56	17	to	to	PART
ajst-15581	56	18	identify	identify	VERB
ajst-15581	56	19	the	the	DET
ajst-15581	56	20	stratum	stratum	NOUN
ajst-15581	56	21	lithology	lithology	NOUN
ajst-15581	56	22	and	and	CCONJ
ajst-15581	56	23	confirmed	confirm	VERB
ajst-15581	56	24	that	that	SCONJ
ajst-15581	56	25	the	the	DET
ajst-15581	56	26	model	model	NOUN
ajst-15581	56	27	was	be	AUX
ajst-15581	56	28	of	of	ADP
ajst-15581	56	29	higher	high	ADJ
ajst-15581	56	30	potential	potential	NOUN
ajst-15581	56	31	than	than	ADP
ajst-15581	56	32	gbdt	gbdt	NOUN
ajst-15581	56	33	in	in	ADP
ajst-15581	56	34	stratigraphic	stratigraphic	ADJ
ajst-15581	56	35	and	and	CCONJ
ajst-15581	56	36	lithology	lithology	NOUN
ajst-15581	56	37	identification	identification	NOUN
ajst-15581	56	38	by	by	ADP
ajst-15581	56	39	analyzing	analyze	VERB
ajst-15581	56	40	the	the	DET
ajst-15581	56	41	experimental	experimental	ADJ
ajst-15581	56	42	results	result	NOUN
ajst-15581	56	43	.	.	PUNCT
ajst-15581	57	1	however	however	ADV
ajst-15581	57	2	,	,	PUNCT
ajst-15581	57	3	some	some	DET
ajst-15581	57	4	experiments	experiment	NOUN
ajst-15581	57	5	found	find	VERB
ajst-15581	57	6	that	that	SCONJ
ajst-15581	57	7	xgboost	xgboost	PROPN
ajst-15581	57	8	was	be	AUX
ajst-15581	57	9	insufficient	insufficient	ADJ
ajst-15581	57	10	in	in	ADP
ajst-15581	57	11	processing	process	VERB
ajst-15581	57	12	high	high	ADV
ajst-15581	57	13	-	-	PUNCT
ajst-15581	57	14	dimensional	dimensional	ADJ
ajst-15581	57	15	massive	massive	ADJ
ajst-15581	57	16	data	datum	NOUN
ajst-15581	57	17	.	.	PUNCT
ajst-15581	58	1	[	[	X
ajst-15581	58	2	21	21	NUM
ajst-15581	58	3	]	]	PUNCT
ajst-15581	58	4	therefore	therefore	ADV
ajst-15581	58	5	,	,	PUNCT
ajst-15581	58	6	qi	qi	PROPN
ajst-15581	58	7	m	m	VERB
ajst-15581	58	8	[	[	X
ajst-15581	58	9	22	22	NUM
ajst-15581	58	10	]	]	PUNCT
ajst-15581	58	11	proposed	propose	VERB
ajst-15581	58	12	another	another	DET
ajst-15581	58	13	model	model	NOUN
ajst-15581	58	14	lightgbm	lightgbm	VERB
ajst-15581	58	15	that	that	PRON
ajst-15581	58	16	overcame	overcome	VERB
ajst-15581	58	17	the	the	DET
ajst-15581	58	18	problems	problem	NOUN
ajst-15581	58	19	of	of	ADP
ajst-15581	58	20	slow	slow	ADJ
ajst-15581	58	21	training	training	NOUN
ajst-15581	58	22	speed	speed	NOUN
ajst-15581	58	23	and	and	CCONJ
ajst-15581	58	24	the	the	DET
ajst-15581	58	25	high	high	ADJ
ajst-15581	58	26	likelihood	likelihood	NOUN
ajst-15581	58	27	of	of	ADP
ajst-15581	58	28	over	over	ADV
ajst-15581	58	29	-	-	PUNCT
ajst-15581	58	30	fitting	fitting	NOUN
ajst-15581	58	31	of	of	ADP
ajst-15581	58	32	xgboost	xgboost	ADV
ajst-15581	58	33	to	to	ADP
ajst-15581	58	34	a	a	DET
ajst-15581	58	35	certain	certain	ADJ
ajst-15581	58	36	extent	extent	NOUN
ajst-15581	58	37	and	and	CCONJ
ajst-15581	58	38	has	have	AUX
ajst-15581	58	39	been	be	AUX
ajst-15581	58	40	widely	widely	ADV
ajst-15581	58	41	applied	apply	VERB
ajst-15581	58	42	in	in	ADP
ajst-15581	58	43	classifiers	classifier	NOUN
ajst-15581	58	44	.	.	PUNCT
ajst-15581	59	1	in	in	ADP
ajst-15581	59	2	conclusion	conclusion	NOUN
ajst-15581	59	3	,	,	PUNCT
ajst-15581	59	4	logging	log	VERB
ajst-15581	59	5	while	while	SCONJ
ajst-15581	59	6	drilling	drilling	NOUN
ajst-15581	59	7	technology	technology	NOUN
ajst-15581	59	8	and	and	CCONJ
ajst-15581	59	9	artificial	artificial	ADJ
ajst-15581	59	10	intelligence	intelligence	NOUN
ajst-15581	59	11	algorithm	algorithm	NOUN
ajst-15581	59	12	have	have	AUX
ajst-15581	59	13	been	be	AUX
ajst-15581	59	14	integrated	integrate	VERB
ajst-15581	59	15	into	into	ADP
ajst-15581	59	16	the	the	DET
ajst-15581	59	17	practice	practice	NOUN
ajst-15581	59	18	of	of	ADP
ajst-15581	59	19	stratum	stratum	NOUN
ajst-15581	59	20	identification	identification	NOUN
ajst-15581	59	21	engineering	engineering	NOUN
ajst-15581	59	22	.	.	PUNCT
ajst-15581	60	1	the	the	DET
ajst-15581	60	2	aim	aim	NOUN
ajst-15581	60	3	is	be	AUX
ajst-15581	60	4	to	to	PART
ajst-15581	60	5	solve	solve	VERB
ajst-15581	60	6	the	the	DET
ajst-15581	60	7	low	low	ADJ
ajst-15581	60	8	efficiency	efficiency	NOUN
ajst-15581	60	9	of	of	ADP
ajst-15581	60	10	stratum	stratum	NOUN
ajst-15581	60	11	division	division	NOUN
ajst-15581	60	12	based	base	VERB
ajst-15581	60	13	on	on	ADP
ajst-15581	60	14	artificial	artificial	ADJ
ajst-15581	60	15	experience	experience	NOUN
ajst-15581	60	16	,	,	PUNCT
ajst-15581	60	17	ensuring	ensure	VERB
ajst-15581	60	18	drilling	drilling	NOUN
ajst-15581	60	19	safety	safety	NOUN
ajst-15581	60	20	and	and	CCONJ
ajst-15581	60	21	efficiency	efficiency	NOUN
ajst-15581	60	22	,	,	PUNCT
ajst-15581	60	23	and	and	CCONJ
ajst-15581	60	24	improving	improve	VERB
ajst-15581	60	25	the	the	DET
ajst-15581	60	26	accuracy	accuracy	NOUN
ajst-15581	60	27	of	of	ADP
ajst-15581	60	28	stratum	stratum	NOUN
ajst-15581	60	29	identification	identification	NOUN
ajst-15581	60	30	.	.	PUNCT
ajst-15581	61	1	based	base	VERB
ajst-15581	61	2	on	on	ADP
ajst-15581	61	3	the	the	DET
ajst-15581	61	4	logging	logging	NOUN
ajst-15581	61	5	while	while	SCONJ
ajst-15581	61	6	drilling	drill	VERB
ajst-15581	61	7	data	datum	NOUN
ajst-15581	61	8	from	from	ADP
ajst-15581	61	9	a	a	DET
ajst-15581	61	10	block	block	NOUN
ajst-15581	61	11	in	in	ADP
ajst-15581	61	12	the	the	DET
ajst-15581	61	13	central	central	PROPN
ajst-15581	61	14	bohai	bohai	PROPN
ajst-15581	61	15	sea	sea	NOUN
ajst-15581	61	16	oil	oil	NOUN
ajst-15581	61	17	field	field	NOUN
ajst-15581	61	18	,	,	PUNCT
ajst-15581	61	19	we	we	PRON
ajst-15581	61	20	fully	fully	ADV
ajst-15581	61	21	considered	consider	VERB
ajst-15581	61	22	the	the	DET
ajst-15581	61	23	synergy	synergy	NOUN
ajst-15581	61	24	of	of	ADP
ajst-15581	61	25	multiple	multiple	ADJ
ajst-15581	61	26	parameters	parameter	NOUN
ajst-15581	61	27	in	in	ADP
ajst-15581	61	28	oil	oil	NOUN
ajst-15581	61	29	and	and	CCONJ
ajst-15581	61	30	gas	gas	NOUN
ajst-15581	61	31	drilling	drilling	NOUN
ajst-15581	61	32	,	,	PUNCT
ajst-15581	61	33	used	use	VERB
ajst-15581	61	34	the	the	DET
ajst-15581	61	35	lightgbm	lightgbm	ADJ
ajst-15581	61	36	algorithm	algorithm	NOUN
ajst-15581	61	37	to	to	PART
ajst-15581	61	38	identify	identify	VERB
ajst-15581	61	39	the	the	DET
ajst-15581	61	40	sub	sub	NOUN
ajst-15581	61	41	-	-	NOUN
ajst-15581	61	42	layer	layer	NOUN
ajst-15581	61	43	in	in	ADP
ajst-15581	61	44	the	the	DET
ajst-15581	61	45	study	study	NOUN
ajst-15581	61	46	area	area	NOUN
ajst-15581	61	47	and	and	CCONJ
ajst-15581	61	48	compared	compare	VERB
ajst-15581	61	49	the	the	DET
ajst-15581	61	50	recognition	recognition	NOUN
ajst-15581	61	51	effect	effect	NOUN
ajst-15581	61	52	with	with	ADP
ajst-15581	61	53	traditional	traditional	ADJ
ajst-15581	61	54	classification	classification	NOUN
ajst-15581	61	55	models	model	NOUN
ajst-15581	61	56	,	,	PUNCT
ajst-15581	61	57	support	support	NOUN
ajst-15581	61	58	vector	vector	NOUN
ajst-15581	61	59	machine	machine	NOUN
ajst-15581	61	60	(	(	PUNCT
ajst-15581	61	61	svm	svm	PROPN
ajst-15581	61	62	)	)	PUNCT
ajst-15581	61	63	and	and	CCONJ
ajst-15581	61	64	deep	deep	ADJ
ajst-15581	61	65	neural	neural	ADJ
ajst-15581	61	66	networks	network	NOUN
ajst-15581	61	67	(	(	PUNCT
ajst-15581	61	68	dnn	dnn	PROPN
ajst-15581	61	69	)	)	PUNCT
ajst-15581	61	70	.	.	PUNCT
ajst-15581	62	1	finally	finally	ADV
ajst-15581	62	2	,	,	PUNCT
ajst-15581	62	3	the	the	DET
ajst-15581	62	4	principal	principal	ADJ
ajst-15581	62	5	component	component	NOUN
ajst-15581	62	6	analysis	analysis	NOUN
ajst-15581	62	7	method	method	NOUN
ajst-15581	62	8	was	be	AUX
ajst-15581	62	9	applied	apply	VERB
ajst-15581	62	10	to	to	PART
ajst-15581	62	11	optimize	optimize	VERB
ajst-15581	62	12	the	the	DET
ajst-15581	62	13	input	input	NOUN
ajst-15581	62	14	parameters	parameter	NOUN
ajst-15581	62	15	of	of	ADP
ajst-15581	62	16	the	the	DET
ajst-15581	62	17	model	model	NOUN
ajst-15581	62	18	and	and	CCONJ
ajst-15581	62	19	realized	realize	VERB
ajst-15581	62	20	the	the	DET
ajst-15581	62	21	accurate	accurate	ADJ
ajst-15581	62	22	prediction	prediction	NOUN
ajst-15581	62	23	of	of	ADP
ajst-15581	62	24	the	the	DET
ajst-15581	62	25	stratum	stratum	NOUN
ajst-15581	62	26	sub	sub	NOUN
ajst-15581	62	27	-	-	NOUN
ajst-15581	62	28	layer	layer	NOUN
ajst-15581	62	29	in	in	ADP
ajst-15581	62	30	the	the	DET
ajst-15581	62	31	study	study	NOUN
ajst-15581	62	32	block	block	NOUN
ajst-15581	62	33	.	.	PUNCT
ajst-15581	63	1	the	the	DET
ajst-15581	63	2	main	main	ADJ
ajst-15581	63	3	content	content	NOUN
ajst-15581	63	4	of	of	ADP
ajst-15581	63	5	the	the	DET
ajst-15581	63	6	rest	rest	NOUN
ajst-15581	63	7	chapters	chapter	NOUN
ajst-15581	63	8	is	be	AUX
ajst-15581	63	9	summarized	summarize	VERB
ajst-15581	63	10	as	as	SCONJ
ajst-15581	63	11	follows	follow	VERB
ajst-15581	63	12	:	:	PUNCT
ajst-15581	63	13	chapter	chapter	PROPN
ajst-15581	63	14	ii	ii	PROPN
ajst-15581	63	15	,	,	PUNCT
ajst-15581	63	16	the	the	DET
ajst-15581	63	17	introduction	introduction	NOUN
ajst-15581	63	18	to	to	ADP
ajst-15581	63	19	the	the	DET
ajst-15581	63	20	principle	principle	NOUN
ajst-15581	63	21	of	of	ADP
ajst-15581	63	22	the	the	DET
ajst-15581	63	23	lightgbm	lightgbm	ADJ
ajst-15581	63	24	algorithm	algorithm	NOUN
ajst-15581	63	25	;	;	PUNCT
ajst-15581	63	26	chapter	chapter	NOUN
ajst-15581	63	27	iii	iii	PROPN
ajst-15581	63	28	,	,	PUNCT
ajst-15581	63	29	the	the	DET
ajst-15581	63	30	introduction	introduction	NOUN
ajst-15581	63	31	to	to	ADP
ajst-15581	63	32	geological	geological	ADJ
ajst-15581	63	33	situation	situation	NOUN
ajst-15581	63	34	and	and	CCONJ
ajst-15581	63	35	process	process	NOUN
ajst-15581	63	36	design	design	NOUN
ajst-15581	63	37	of	of	ADP
ajst-15581	63	38	the	the	DET
ajst-15581	63	39	study	study	NOUN
ajst-15581	63	40	area	area	NOUN
ajst-15581	63	41	;	;	PUNCT
ajst-15581	63	42	chapter	chapter	NOUN
ajst-15581	63	43	iv	iv	PROPN
ajst-15581	63	44	,	,	PUNCT
ajst-15581	63	45	the	the	DET
ajst-15581	63	46	sub	sub	ADJ
ajst-15581	63	47	-	-	ADJ
ajst-15581	63	48	layer	layer	ADJ
ajst-15581	63	49	division	division	NOUN
ajst-15581	63	50	model	model	NOUN
ajst-15581	63	51	based	base	VERB
ajst-15581	63	52	on	on	ADP
ajst-15581	63	53	lightgbm	lightgbm	ADJ
ajst-15581	63	54	is	be	AUX
ajst-15581	63	55	established	establish	VERB
ajst-15581	63	56	,	,	PUNCT
ajst-15581	63	57	including	include	VERB
ajst-15581	63	58	the	the	DET
ajst-15581	63	59	comparison	comparison	NOUN
ajst-15581	63	60	with	with	ADP
ajst-15581	63	61	the	the	DET
ajst-15581	63	62	traditional	traditional	ADJ
ajst-15581	63	63	classification	classification	NOUN
ajst-15581	63	64	model	model	NOUN
ajst-15581	63	65	and	and	CCONJ
ajst-15581	63	66	the	the	DET
ajst-15581	63	67	optimization	optimization	NOUN
ajst-15581	63	68	of	of	ADP
ajst-15581	63	69	the	the	DET
ajst-15581	63	70	model	model	NOUN
ajst-15581	63	71	input	input	NOUN
ajst-15581	63	72	parameters	parameter	NOUN
ajst-15581	63	73	;	;	PUNCT
ajst-15581	63	74	chapter	chapter	NOUN
ajst-15581	63	75	v	v	NOUN
ajst-15581	63	76	,	,	PUNCT
ajst-15581	63	77	the	the	DET
ajst-15581	63	78	prediction	prediction	NOUN
ajst-15581	63	79	accuracy	accuracy	NOUN
ajst-15581	63	80	and	and	CCONJ
ajst-15581	63	81	generalization	generalization	NOUN
ajst-15581	63	82	capability	capability	NOUN
ajst-15581	63	83	of	of	ADP
ajst-15581	63	84	the	the	DET
ajst-15581	63	85	model	model	NOUN
ajst-15581	63	86	are	be	AUX
ajst-15581	63	87	further	far	ADV
ajst-15581	63	88	verified	verify	VERB
ajst-15581	63	89	with	with	ADP
ajst-15581	63	90	engineering	engineering	NOUN
ajst-15581	63	91	examples	example	NOUN
ajst-15581	63	92	;	;	PUNCT
ajst-15581	63	93	the	the	DET
ajst-15581	63	94	conclusion	conclusion	NOUN
ajst-15581	63	95	was	be	AUX
ajst-15581	63	96	proposed	propose	VERB
ajst-15581	63	97	in	in	ADP
ajst-15581	63	98	last	last	ADJ
ajst-15581	63	99	chapter	chapter	NOUN
ajst-15581	63	100	.	.	PUNCT
ajst-15581	64	1	2	2	X
ajst-15581	64	2	.	.	X
ajst-15581	64	3	algorithm	algorithm	NOUN
ajst-15581	64	4	principle	principle	NOUN
ajst-15581	64	5	of	of	ADP
ajst-15581	64	6	lightgbm	lightgbm	ADJ
ajst-15581	64	7	lightgbm	lightgbm	ADJ
ajst-15581	64	8	algorithm	algorithm	NOUN
ajst-15581	64	9	is	be	AUX
ajst-15581	64	10	a	a	DET
ajst-15581	64	11	gradient	gradient	ADJ
ajst-15581	64	12	upgrading	upgrading	NOUN
ajst-15581	64	13	framework	framework	NOUN
ajst-15581	64	14	based	base	VERB
ajst-15581	64	15	on	on	ADP
ajst-15581	64	16	the	the	DET
ajst-15581	64	17	decision	decision	NOUN
ajst-15581	64	18	tree	tree	NOUN
ajst-15581	64	19	algorithm	algorithm	NOUN
ajst-15581	64	20	.	.	PUNCT
ajst-15581	65	1	the	the	DET
ajst-15581	65	2	advantages	advantage	NOUN
ajst-15581	65	3	include	include	VERB
ajst-15581	65	4	quicker	quick	ADJ
ajst-15581	65	5	training	training	NOUN
ajst-15581	65	6	efficiency	efficiency	NOUN
ajst-15581	65	7	,	,	PUNCT
ajst-15581	65	8	lower	low	ADJ
ajst-15581	65	9	memory	memory	NOUN
ajst-15581	65	10	usage	usage	NOUN
ajst-15581	65	11	rate	rate	NOUN
ajst-15581	65	12	,	,	PUNCT
ajst-15581	65	13	and	and	CCONJ
ajst-15581	65	14	higher	high	ADJ
ajst-15581	65	15	prediction	prediction	NOUN
ajst-15581	65	16	accuracy	accuracy	NOUN
ajst-15581	65	17	.	.	PUNCT
ajst-15581	66	1	also	also	ADV
ajst-15581	66	2	supports	support	VERB
ajst-15581	66	3	efficient	efficient	ADJ
ajst-15581	66	4	parallel	parallel	ADJ
ajst-15581	66	5	training	training	NOUN
ajst-15581	66	6	,	,	PUNCT
ajst-15581	66	7	and	and	CCONJ
ajst-15581	66	8	can	can	AUX
ajst-15581	66	9	quickly	quickly	ADV
ajst-15581	66	10	process	process	VERB
ajst-15581	66	11	large	large	ADJ
ajst-15581	66	12	-	-	PUNCT
ajst-15581	66	13	scale	scale	NOUN
ajst-15581	66	14	data[23	data[23	NOUN
ajst-15581	66	15	]	]	PUNCT
ajst-15581	66	16	.	.	PUNCT
ajst-15581	67	1	as	as	SCONJ
ajst-15581	67	2	shown	show	VERB
ajst-15581	67	3	in	in	ADP
ajst-15581	67	4	figure	figure	NOUN
ajst-15581	67	5	1	1	NUM
ajst-15581	67	6	,	,	PUNCT
ajst-15581	67	7	the	the	DET
ajst-15581	67	8	lightgbm	lightgbm	ADJ
ajst-15581	67	9	algorithm	algorithm	NOUN
ajst-15581	67	10	adopts	adopt	VERB
ajst-15581	67	11	the	the	DET
ajst-15581	67	12	histogram	histogram	NOUN
ajst-15581	67	13	optimization	optimization	NOUN
ajst-15581	67	14	algorithm	algorithm	NOUN
ajst-15581	67	15	,	,	PUNCT
ajst-15581	67	16	whose	whose	DET
ajst-15581	67	17	basic	basic	ADJ
ajst-15581	67	18	idea	idea	NOUN
ajst-15581	67	19	is	be	AUX
ajst-15581	67	20	to	to	PART
ajst-15581	67	21	divide	divide	VERB
ajst-15581	67	22	the	the	DET
ajst-15581	67	23	continuous	continuous	ADJ
ajst-15581	67	24	floating	float	VERB
ajst-15581	67	25	-	-	PUNCT
ajst-15581	67	26	point	point	NOUN
ajst-15581	67	27	data	datum	NOUN
ajst-15581	67	28	into	into	ADP
ajst-15581	67	29	an	an	DET
ajst-15581	67	30	independent	independent	ADJ
ajst-15581	67	31	intervals	interval	NOUN
ajst-15581	67	32	and	and	CCONJ
ajst-15581	67	33	construct	construct	VERB
ajst-15581	67	34	a	a	DET
ajst-15581	67	35	histogram	histogram	NOUN
ajst-15581	67	36	with	with	ADP
ajst-15581	67	37	a	a	DET
ajst-15581	67	38	width	width	NOUN
ajst-15581	67	39	of	of	ADP
ajst-15581	67	40	n	n	PRON
ajst-15581	67	41	simultaneously	simultaneously	ADV
ajst-15581	67	42	.	.	PUNCT
ajst-15581	68	1	figure	figure	VERB
ajst-15581	68	2	1	1	NUM
ajst-15581	68	3	.	.	PUNCT
ajst-15581	68	4	histogram	histogram	NOUN
ajst-15581	68	5	optimization	optimization	NOUN
ajst-15581	68	6	there	there	PRON
ajst-15581	68	7	are	be	VERB
ajst-15581	68	8	two	two	NUM
ajst-15581	68	9	types	type	NOUN
ajst-15581	68	10	of	of	ADP
ajst-15581	68	11	information	information	NOUN
ajst-15581	68	12	in	in	ADP
ajst-15581	68	13	each	each	DET
ajst-15581	68	14	interval	interval	NOUN
ajst-15581	68	15	of	of	ADP
ajst-15581	68	16	the	the	DET
ajst-15581	68	17	histogram	histogram	NOUN
ajst-15581	68	18	.	.	PUNCT
ajst-15581	69	1	the	the	DET
ajst-15581	69	2	sum	sum	NOUN
ajst-15581	69	3	of	of	ADP
ajst-15581	69	4	sample	sample	NOUN
ajst-15581	69	5	gradients	gradient	NOUN
ajst-15581	69	6	and	and	CCONJ
ajst-15581	69	7	the	the	DET
ajst-15581	69	8	number	number	NOUN
ajst-15581	69	9	of	of	ADP
ajst-15581	69	10	samples	sample	NOUN
ajst-15581	69	11	in	in	ADP
ajst-15581	69	12	each	each	DET
ajst-15581	69	13	interval	interval	NOUN
ajst-15581	69	14	.	.	PUNCT
ajst-15581	70	1	during	during	ADP
ajst-15581	70	2	data	datum	NOUN
ajst-15581	70	3	traversal	traversal	NOUN
ajst-15581	70	4	,	,	PUNCT
ajst-15581	70	5	the	the	DET
ajst-15581	70	6	discrete	discrete	ADJ
ajst-15581	70	7	value	value	NOUN
ajst-15581	70	8	is	be	AUX
ajst-15581	70	9	used	use	VERB
ajst-15581	70	10	as	as	ADP
ajst-15581	70	11	an	an	DET
ajst-15581	70	12	index	index	NOUN
ajst-15581	70	13	and	and	CCONJ
ajst-15581	70	14	the	the	DET
ajst-15581	70	15	statistics	statistic	NOUN
ajst-15581	70	16	are	be	AUX
ajst-15581	70	17	accumulated	accumulate	VERB
ajst-15581	70	18	in	in	ADP
ajst-15581	70	19	each	each	DET
ajst-15581	70	20	interval	interval	NOUN
ajst-15581	70	21	of	of	ADP
ajst-15581	70	22	the	the	DET
ajst-15581	70	23	histogram	histogram	NOUN
ajst-15581	70	24	.	.	PUNCT
ajst-15581	71	1	then	then	ADV
ajst-15581	71	2	the	the	DET
ajst-15581	71	3	discrete	discrete	ADJ
ajst-15581	71	4	value	value	NOUN
ajst-15581	71	5	is	be	AUX
ajst-15581	71	6	traversed	traverse	VERB
ajst-15581	71	7	to	to	PART
ajst-15581	71	8	find	find	VERB
ajst-15581	71	9	the	the	DET
ajst-15581	71	10	optimal	optimal	ADJ
ajst-15581	71	11	segmentation	segmentation	NOUN
ajst-15581	71	12	point	point	NOUN
ajst-15581	71	13	.	.	PUNCT
ajst-15581	72	1	in	in	ADP
ajst-15581	72	2	terms	term	NOUN
ajst-15581	72	3	of	of	ADP
ajst-15581	72	4	calculation	calculation	NOUN
ajst-15581	72	5	cost	cost	NOUN
ajst-15581	72	6	,	,	PUNCT
ajst-15581	72	7	the	the	DET
ajst-15581	72	8	histogram	histogram	NOUN
ajst-15581	72	9	optimization	optimization	NOUN
ajst-15581	72	10	algorithm	algorithm	NOUN
ajst-15581	72	11	only	only	ADV
ajst-15581	72	12	generates	generate	VERB
ajst-15581	72	13	n	n	PRON
ajst-15581	72	14	times	time	NOUN
ajst-15581	72	15	calculation	calculation	NOUN
ajst-15581	72	16	,	,	PUNCT
ajst-15581	72	17	reducing	reduce	VERB
ajst-15581	72	18	the	the	DET
ajst-15581	72	19	storage	storage	NOUN
ajst-15581	72	20	cost	cost	NOUN
ajst-15581	72	21	and	and	CCONJ
ajst-15581	72	22	calculation	calculation	NOUN
ajst-15581	72	23	cost	cost	NOUN
ajst-15581	72	24	[	[	X
ajst-15581	72	25	24	24	NUM
ajst-15581	72	26	]	]	PUNCT
ajst-15581	72	27	.	.	PUNCT
ajst-15581	73	1	lightgbm	lightgbm	ADJ
ajst-15581	73	2	algorithm	algorithm	PROPN
ajst-15581	73	3	adopts	adopt	VERB
ajst-15581	73	4	a	a	DET
ajst-15581	73	5	leaf	leaf	NOUN
ajst-15581	73	6	-	-	PUNCT
ajst-15581	73	7	wise	wise	ADJ
ajst-15581	73	8	leaf	leaf	NOUN
ajst-15581	73	9	growth	growth	NOUN
ajst-15581	73	10	strategy	strategy	NOUN
ajst-15581	73	11	with	with	ADP
ajst-15581	73	12	depth	depth	NOUN
ajst-15581	73	13	constraints	constraint	NOUN
ajst-15581	73	14	,	,	PUNCT
ajst-15581	73	15	which	which	PRON
ajst-15581	73	16	traverse	traverse	VERB
ajst-15581	73	17	all	all	DET
ajst-15581	73	18	leaf	leaf	NOUN
ajst-15581	73	19	nodes	node	NOUN
ajst-15581	73	20	before	before	ADP
ajst-15581	73	21	each	each	DET
ajst-15581	73	22	split	split	NOUN
ajst-15581	73	23	and	and	CCONJ
ajst-15581	73	24	select	select	VERB
ajst-15581	73	25	the	the	DET
ajst-15581	73	26	node	node	NOUN
ajst-15581	73	27	with	with	ADP
ajst-15581	73	28	the	the	DET
ajst-15581	73	29	largest	large	ADJ
ajst-15581	73	30	information	information	NOUN
ajst-15581	73	31	gain	gain	NOUN
ajst-15581	73	32	to	to	PART
ajst-15581	73	33	grow	grow	VERB
ajst-15581	73	34	.	.	PUNCT
ajst-15581	74	1	however	however	ADV
ajst-15581	74	2	,	,	PUNCT
ajst-15581	74	3	it	it	PRON
ajst-15581	74	4	is	be	AUX
ajst-15581	74	5	noteworthy	noteworthy	ADJ
ajst-15581	74	6	that	that	SCONJ
ajst-15581	74	7	the	the	DET
ajst-15581	74	8	leaf	leaf	NOUN
ajst-15581	74	9	-	-	PUNCT
ajst-15581	74	10	wise	wise	ADJ
ajst-15581	74	11	strategy	strategy	NOUN
ajst-15581	74	12	may	may	AUX
ajst-15581	74	13	generate	generate	VERB
ajst-15581	74	14	higher	high	ADJ
ajst-15581	74	15	trees	tree	NOUN
ajst-15581	74	16	,	,	PUNCT
ajst-15581	74	17	and	and	CCONJ
ajst-15581	74	18	can	can	AUX
ajst-15581	74	19	reduce	reduce	VERB
ajst-15581	74	20	over	over	ADV
ajst-15581	74	21	-	-	PUNCT
ajst-15581	74	22	fitting	fit	VERB
ajst-15581	74	23	by	by	ADP
ajst-15581	74	24	controlling	control	VERB
ajst-15581	74	25	the	the	DET
ajst-15581	74	26	height	height	NOUN
ajst-15581	74	27	of	of	ADP
ajst-15581	74	28	the	the	DET
ajst-15581	74	29	tree	tree	NOUN
ajst-15581	74	30	and	and	CCONJ
ajst-15581	74	31	the	the	DET
ajst-15581	74	32	minimum	minimum	ADJ
ajst-15581	74	33	number	number	NOUN
ajst-15581	74	34	of	of	ADP
ajst-15581	74	35	each	each	DET
ajst-15581	74	36	leaf	leaf	NOUN
ajst-15581	74	37	node	node	NOUN
ajst-15581	74	38	.	.	PUNCT
ajst-15581	75	1	under	under	ADP
ajst-15581	75	2	the	the	DET
ajst-15581	75	3	same	same	ADJ
ajst-15581	75	4	splitting	splitting	NOUN
ajst-15581	75	5	times	time	NOUN
ajst-15581	75	6	,	,	PUNCT
ajst-15581	75	7	the	the	DET
ajst-15581	75	8	prediction	prediction	NOUN
ajst-15581	75	9	accuracy	accuracy	NOUN
ajst-15581	75	10	of	of	ADP
ajst-15581	75	11	the	the	DET
ajst-15581	75	12	leaf	leaf	NOUN
ajst-15581	75	13	-	-	PUNCT
ajst-15581	75	14	wise	wise	ADJ
ajst-15581	75	15	strategy	strategy	NOUN
ajst-15581	75	16	is	be	AUX
ajst-15581	75	17	higher	high	ADJ
ajst-15581	75	18	and	and	CCONJ
ajst-15581	75	19	the	the	DET
ajst-15581	75	20	convergence	convergence	NOUN
ajst-15581	75	21	speed	speed	NOUN
ajst-15581	75	22	is	be	AUX
ajst-15581	75	23	faster	fast	ADJ
ajst-15581	75	24	.	.	PUNCT
ajst-15581	76	1	in	in	ADP
ajst-15581	76	2	addition	addition	NOUN
ajst-15581	76	3	,	,	PUNCT
ajst-15581	76	4	the	the	DET
ajst-15581	76	5	lightgbm	lightgbm	ADJ
ajst-15581	76	6	algorithm	algorithm	NOUN
ajst-15581	76	7	further	far	ADV
ajst-15581	76	8	applies	apply	VERB
ajst-15581	76	9	histogram	histogram	NOUN
ajst-15581	76	10	subtraction	subtraction	NOUN
ajst-15581	76	11	technology	technology	NOUN
ajst-15581	76	12	to	to	PART
ajst-15581	76	13	improve	improve	VERB
ajst-15581	76	14	operational	operational	ADJ
ajst-15581	76	15	efficiency	efficiency	NOUN
ajst-15581	76	16	.	.	PUNCT
ajst-15581	77	1	the	the	DET
ajst-15581	77	2	histogram	histogram	NOUN
ajst-15581	77	3	of	of	ADP
ajst-15581	77	4	a	a	DET
ajst-15581	77	5	leaf	leaf	NOUN
ajst-15581	77	6	can	can	AUX
ajst-15581	77	7	be	be	AUX
ajst-15581	77	8	obtained	obtain	VERB
ajst-15581	77	9	by	by	ADP
ajst-15581	77	10	subtracting	subtract	VERB
ajst-15581	77	11	the	the	DET
ajst-15581	77	12	histogram	histogram	NOUN
ajst-15581	77	13	of	of	ADP
ajst-15581	77	14	its	its	PRON
ajst-15581	77	15	parent	parent	NOUN
ajst-15581	77	16	node	node	NOUN
ajst-15581	77	17	and	and	CCONJ
ajst-15581	77	18	its	its	PRON
ajst-15581	77	19	brother	brother	NOUN
ajst-15581	77	20	node	node	NOUN
ajst-15581	77	21	.	.	PUNCT
ajst-15581	78	1	in	in	ADP
ajst-15581	78	2	each	each	DET
ajst-15581	78	3	node	node	NOUN
ajst-15581	78	4	splitting	splitting	NOUN
ajst-15581	78	5	,	,	PUNCT
ajst-15581	78	6	the	the	DET
ajst-15581	78	7	histogram	histogram	NOUN
ajst-15581	78	8	of	of	ADP
ajst-15581	78	9	the	the	DET
ajst-15581	78	10	sub	sub	NOUN
ajst-15581	78	11	-	-	NOUN
ajst-15581	78	12	nodes	node	NOUN
ajst-15581	78	13	with	with	ADP
ajst-15581	78	14	fewer	few	ADJ
ajst-15581	78	15	samples	sample	NOUN
ajst-15581	78	16	can	can	AUX
ajst-15581	78	17	be	be	AUX
ajst-15581	78	18	calculated	calculate	VERB
ajst-15581	78	19	.	.	PUNCT
ajst-15581	79	1	the	the	DET
ajst-15581	79	2	histogram	histogram	NOUN
ajst-15581	79	3	of	of	ADP
ajst-15581	79	4	its	its	PRON
ajst-15581	79	5	sibling	sible	VERB
ajst-15581	79	6	nodes	node	NOUN
ajst-15581	79	7	can	can	AUX
ajst-15581	79	8	be	be	AUX
ajst-15581	79	9	obtained	obtain	VERB
ajst-15581	79	10	by	by	ADP
ajst-15581	79	11	making	make	VERB
ajst-15581	79	12	a	a	DET
ajst-15581	79	13	difference	difference	NOUN
ajst-15581	79	14	,	,	PUNCT
ajst-15581	79	15	with	with	ADP
ajst-15581	79	16	the	the	DET
ajst-15581	79	17	doubled	double	VERB
ajst-15581	79	18	speed	speed	NOUN
ajst-15581	79	19	.	.	PUNCT
ajst-15581	80	1	lightgbm	lightgbm	ADJ
ajst-15581	80	2	algorithm	algorithm	NOUN
ajst-15581	80	3	with	with	ADP
ajst-15581	80	4	excellent	excellent	ADJ
ajst-15581	80	5	performance	performance	NOUN
ajst-15581	80	6	was	be	AUX
ajst-15581	80	7	applied	apply	VERB
ajst-15581	80	8	to	to	ADP
ajst-15581	80	9	petroleum	petroleum	NOUN
ajst-15581	80	10	geology	geology	NOUN
ajst-15581	80	11	research	research	NOUN
ajst-15581	80	12	,	,	PUNCT
ajst-15581	80	13	whose	whose	DET
ajst-15581	80	14	reliability	reliability	NOUN
ajst-15581	80	15	and	and	CCONJ
ajst-15581	80	16	flexibility	flexibility	NOUN
ajst-15581	80	17	are	be	AUX
ajst-15581	80	18	capable	capable	ADJ
ajst-15581	80	19	of	of	ADP
ajst-15581	80	20	promoting	promote	VERB
ajst-15581	80	21	the	the	DET
ajst-15581	80	22	rapid	rapid	ADJ
ajst-15581	80	23	development	development	NOUN
ajst-15581	80	24	of	of	ADP
ajst-15581	80	25	relevant	relevant	ADJ
ajst-15581	80	26	fields	field	NOUN
ajst-15581	80	27	.	.	PUNCT
ajst-15581	81	1	3	3	X
ajst-15581	81	2	.	.	X
ajst-15581	81	3	geology	geology	NOUN
ajst-15581	81	4	overview	overview	NOUN
ajst-15581	81	5	and	and	CCONJ
ajst-15581	81	6	overall	overall	ADJ
ajst-15581	81	7	process	process	NOUN
ajst-15581	81	8	design	design	NOUN
ajst-15581	81	9	of	of	ADP
ajst-15581	81	10	the	the	DET
ajst-15581	81	11	study	study	NOUN
ajst-15581	81	12	area	area	NOUN
ajst-15581	81	13	3.1	3.1	NUM
ajst-15581	81	14	.	.	PUNCT
ajst-15581	82	1	geology	geology	NOUN
ajst-15581	82	2	overview	overview	NOUN
ajst-15581	82	3	the	the	DET
ajst-15581	82	4	study	study	NOUN
ajst-15581	82	5	area	area	NOUN
ajst-15581	82	6	is	be	AUX
ajst-15581	82	7	a	a	DET
ajst-15581	82	8	block	block	NOUN
ajst-15581	82	9	in	in	ADP
ajst-15581	82	10	the	the	DET
ajst-15581	82	11	central	central	PROPN
ajst-15581	82	12	bohai	bohai	PROPN
ajst-15581	82	13	sea	sea	NOUN
ajst-15581	82	14	oil	oil	NOUN
ajst-15581	82	15	field	field	NOUN
ajst-15581	82	16	.	.	PUNCT
ajst-15581	83	1	based	base	VERB
ajst-15581	83	2	on	on	ADP
ajst-15581	83	3	the	the	DET
ajst-15581	83	4	available	available	ADJ
ajst-15581	83	5	geology	geology	NOUN
ajst-15581	83	6	model	model	NOUN
ajst-15581	83	7	recognition	recognition	NOUN
ajst-15581	83	8	,	,	PUNCT
ajst-15581	83	9	and	and	CCONJ
ajst-15581	83	10	combined	combine	VERB
ajst-15581	83	11	with	with	ADP
ajst-15581	83	12	f	f	PROPN
ajst-15581	83	13	-	-	PUNCT
ajst-15581	83	14	k	k	PROPN
ajst-15581	83	15	(	(	PUNCT
ajst-15581	83	16	frequency	frequency	NOUN
ajst-15581	83	17	-	-	PUNCT
ajst-15581	83	18	wave	wave	NOUN
ajst-15581	83	19	number	number	NOUN
ajst-15581	83	20	domain	domain	NOUN
ajst-15581	83	21	filtering	filtering	NOUN
ajst-15581	83	22	)	)	PUNCT
ajst-15581	83	23	to	to	PART
ajst-15581	83	24	re	re	VERB
ajst-15581	83	25	-	-	VERB
ajst-15581	83	26	processing	process	VERB
ajst-15581	83	27	data	datum	NOUN
ajst-15581	83	28	,	,	PUNCT
ajst-15581	83	29	the	the	DET
ajst-15581	83	30	sub	sub	NOUN
ajst-15581	83	31	-	-	NOUN
ajst-15581	83	32	layers	layer	NOUN
ajst-15581	83	33	were	be	AUX
ajst-15581	83	34	divided	divide	VERB
ajst-15581	83	35	into	into	ADP
ajst-15581	83	36	two	two	NUM
ajst-15581	83	37	types	type	NOUN
ajst-15581	83	38	.	.	PUNCT
ajst-15581	84	1	reservoir	reservoir	PROPN
ajst-15581	84	2	stratum	stratum	PROPN
ajst-15581	84	3	type	type	VERB
ajst-15581	84	4	i	i	PRON
ajst-15581	84	5	:	:	PUNCT
ajst-15581	84	6	mainly	mainly	ADV
ajst-15581	84	7	located	locate	VERB
ajst-15581	84	8	in	in	ADP
ajst-15581	84	9	the	the	DET
ajst-15581	84	10	tectonic	tectonic	ADJ
ajst-15581	84	11	stress	stress	NOUN
ajst-15581	84	12	compression	compression	NOUN
ajst-15581	84	13	zone	zone	NOUN
ajst-15581	84	14	.	.	PUNCT
ajst-15581	85	1	the	the	DET
ajst-15581	85	2	high	high	ADJ
ajst-15581	85	3	part	part	NOUN
ajst-15581	85	4	of	of	ADP
ajst-15581	85	5	an	an	DET
ajst-15581	85	6	ancient	ancient	ADJ
ajst-15581	85	7	landform	landform	NOUN
ajst-15581	85	8	,	,	PUNCT
ajst-15581	85	9	and	and	CCONJ
ajst-15581	85	10	well	well	ADV
ajst-15581	85	11	areas	area	NOUN
ajst-15581	85	12	4	4	NUM
ajst-15581	85	13	,	,	PUNCT
ajst-15581	85	14	7	7	NUM
ajst-15581	85	15	,	,	PUNCT
ajst-15581	85	16	and	and	CCONJ
ajst-15581	85	17	9	9	NUM
ajst-15581	85	18	with	with	ADP
ajst-15581	85	19	low	low	ADJ
ajst-15581	85	20	dark	dark	ADJ
ajst-15581	85	21	mineral	mineral	NOUN
ajst-15581	85	22	content	content	NOUN
ajst-15581	85	23	.	.	PUNCT
ajst-15581	86	1	the	the	DET
ajst-15581	86	2	seismic	seismic	ADJ
ajst-15581	86	3	facies	facie	NOUN
ajst-15581	86	4	was	be	AUX
ajst-15581	86	5	characterized	characterize	VERB
ajst-15581	86	6	by	by	ADP
ajst-15581	86	7	low	low	ADJ
ajst-15581	86	8	-	-	PUNCT
ajst-15581	86	9	frequency	frequency	NOUN
ajst-15581	86	10	strong	strong	ADJ
ajst-15581	86	11	amplitude	amplitude	NOUN
ajst-15581	86	12	,	,	PUNCT
ajst-15581	86	13	strong	strong	ADJ
ajst-15581	86	14	continuous	continuous	ADJ
ajst-15581	86	15	reflection	reflection	NOUN
ajst-15581	86	16	,	,	PUNCT
ajst-15581	86	17	f	f	PROPN
ajst-15581	86	18	-	-	PUNCT
ajst-15581	86	19	k	k	X
ajst-15581	86	20	post	post	ADJ
ajst-15581	86	21	-	-	ADJ
ajst-15581	86	22	filtering	filtering	ADJ
ajst-15581	86	23	120	120	NUM
ajst-15581	86	24	dense	dense	ADJ
ajst-15581	86	25	pointy	pointy	ADJ
ajst-15581	86	26	reflection	reflection	NOUN
ajst-15581	86	27	,	,	PUNCT
ajst-15581	86	28	or	or	CCONJ
ajst-15581	86	29	high	high	ADJ
ajst-15581	86	30	-	-	PUNCT
ajst-15581	86	31	angle	angle	NOUN
ajst-15581	86	32	reflection	reflection	NOUN
ajst-15581	86	33	.	.	PUNCT
ajst-15581	87	1	the	the	DET
ajst-15581	87	2	drilling	drilling	NOUN
ajst-15581	87	3	revealed	reveal	VERB
ajst-15581	87	4	that	that	SCONJ
ajst-15581	87	5	the	the	DET
ajst-15581	87	6	reservoir	reservoir	PROPN
ajst-15581	87	7	stratum	stratum	PROPN
ajst-15581	87	8	development	development	NOUN
ajst-15581	87	9	thickness	thickness	NOUN
ajst-15581	87	10	was	be	AUX
ajst-15581	87	11	160~220	160~220	NUM
ajst-15581	87	12	m	m	NOUN
ajst-15581	87	13	,	,	PUNCT
ajst-15581	87	14	with	with	ADP
ajst-15581	87	15	an	an	DET
ajst-15581	87	16	average	average	NOUN
ajst-15581	87	17	of	of	ADP
ajst-15581	87	18	198	198	NUM
ajst-15581	87	19	m	m	NOUN
ajst-15581	87	20	,	,	PUNCT
ajst-15581	87	21	and	and	CCONJ
ajst-15581	87	22	the	the	DET
ajst-15581	87	23	average	average	ADJ
ajst-15581	87	24	fracture	fracture	PROPN
ajst-15581	87	25	development	development	NOUN
ajst-15581	87	26	density	density	NOUN
ajst-15581	87	27	of	of	ADP
ajst-15581	87	28	a	a	DET
ajst-15581	87	29	single	single	ADJ
ajst-15581	87	30	well	well	NOUN
ajst-15581	87	31	was	be	AUX
ajst-15581	87	32	2.2~6.8	2.2~6.8	NUM
ajst-15581	87	33	fractures	fracture	NOUN
ajst-15581	87	34	/	/	SYM
ajst-15581	87	35	m.	m.	NOUN
ajst-15581	87	36	reservoir	reservoir	PROPN
ajst-15581	87	37	stratum	stratum	PROPN
ajst-15581	87	38	type	type	PROPN
ajst-15581	87	39	ii	ii	PROPN
ajst-15581	87	40	:	:	PUNCT
ajst-15581	87	41	mainly	mainly	ADV
ajst-15581	87	42	located	locate	VERB
ajst-15581	87	43	in	in	ADP
ajst-15581	87	44	the	the	DET
ajst-15581	87	45	strike	strike	NOUN
ajst-15581	87	46	-	-	PUNCT
ajst-15581	87	47	slip	slip	NOUN
ajst-15581	87	48	zone	zone	NOUN
ajst-15581	87	49	of	of	ADP
ajst-15581	87	50	tectonic	tectonic	ADJ
ajst-15581	87	51	stress	stress	NOUN
ajst-15581	87	52	,	,	PUNCT
ajst-15581	87	53	the	the	DET
ajst-15581	87	54	high	high	ADJ
ajst-15581	87	55	part	part	NOUN
ajst-15581	87	56	of	of	ADP
ajst-15581	87	57	ancient	ancient	ADJ
ajst-15581	87	58	landform	landform	NOUN
ajst-15581	87	59	,	,	PUNCT
ajst-15581	87	60	and	and	CCONJ
ajst-15581	87	61	well	well	ADV
ajst-15581	87	62	areas	area	NOUN
ajst-15581	87	63	2sa	2sa	ADJ
ajst-15581	87	64	and	and	CCONJ
ajst-15581	87	65	11	11	NUM
ajst-15581	87	66	with	with	ADP
ajst-15581	87	67	low	low	ADJ
ajst-15581	87	68	content	content	NOUN
ajst-15581	87	69	of	of	ADP
ajst-15581	87	70	dark	dark	ADJ
ajst-15581	87	71	minerals	mineral	NOUN
ajst-15581	87	72	.	.	PUNCT
ajst-15581	88	1	the	the	DET
ajst-15581	88	2	seismic	seismic	ADJ
ajst-15581	88	3	facies	facie	NOUN
ajst-15581	88	4	was	be	AUX
ajst-15581	88	5	characterized	characterize	VERB
ajst-15581	88	6	by	by	ADP
ajst-15581	88	7	medium	medium	ADJ
ajst-15581	88	8	and	and	CCONJ
ajst-15581	88	9	lowfrequency	lowfrequency	ADJ
ajst-15581	88	10	medium	medium	ADJ
ajst-15581	88	11	and	and	CCONJ
ajst-15581	88	12	strong	strong	ADJ
ajst-15581	88	13	amplitude	amplitude	NOUN
ajst-15581	88	14	medium	medium	ADJ
ajst-15581	88	15	continuous	continuous	ADJ
ajst-15581	88	16	reflection	reflection	NOUN
ajst-15581	88	17	,	,	PUNCT
ajst-15581	88	18	f	f	PROPN
ajst-15581	88	19	-	-	PUNCT
ajst-15581	88	20	k	k	X
ajst-15581	88	21	post	post	ADJ
ajst-15581	88	22	-	-	ADJ
ajst-15581	88	23	filtering	filtering	ADJ
ajst-15581	88	24	dense	dense	ADJ
ajst-15581	88	25	pointy	pointy	ADJ
ajst-15581	88	26	reflection	reflection	NOUN
ajst-15581	88	27	,	,	PUNCT
ajst-15581	88	28	or	or	CCONJ
ajst-15581	88	29	highangle	highangle	ADJ
ajst-15581	88	30	reflection	reflection	NOUN
ajst-15581	88	31	.	.	PUNCT
ajst-15581	89	1	the	the	DET
ajst-15581	89	2	drilling	drilling	NOUN
ajst-15581	89	3	revealed	reveal	VERB
ajst-15581	89	4	that	that	SCONJ
ajst-15581	89	5	the	the	DET
ajst-15581	89	6	reservoir	reservoir	PROPN
ajst-15581	89	7	stratum	stratum	PROPN
ajst-15581	89	8	development	development	NOUN
ajst-15581	89	9	thickness	thickness	NOUN
ajst-15581	89	10	was	be	AUX
ajst-15581	89	11	160~190	160~190	NUM
ajst-15581	89	12	m	m	NOUN
ajst-15581	89	13	,	,	PUNCT
ajst-15581	89	14	with	with	SCONJ
ajst-15581	89	15	an	an	DET
ajst-15581	89	16	average	average	NOUN
ajst-15581	89	17	of	of	ADP
ajst-15581	89	18	175	175	NUM
ajst-15581	89	19	m.	m.	NOUN
ajst-15581	89	20	the	the	DET
ajst-15581	89	21	average	average	ADJ
ajst-15581	89	22	fracture	fracture	PROPN
ajst-15581	89	23	development	development	NOUN
ajst-15581	89	24	density	density	NOUN
ajst-15581	89	25	of	of	ADP
ajst-15581	89	26	a	a	DET
ajst-15581	89	27	single	single	ADJ
ajst-15581	89	28	well	well	NOUN
ajst-15581	89	29	was	be	AUX
ajst-15581	89	30	2.0~4.4	2.0~4.4	NUM
ajst-15581	89	31	fractures	fracture	NOUN
ajst-15581	89	32	/	/	SYM
ajst-15581	89	33	m.	m.	NOUN
ajst-15581	89	34	to	to	PART
ajst-15581	89	35	study	study	VERB
ajst-15581	89	36	the	the	DET
ajst-15581	89	37	reservoir	reservoir	NOUN
ajst-15581	89	38	stratum	stratum	NOUN
ajst-15581	89	39	in	in	ADP
ajst-15581	89	40	the	the	DET
ajst-15581	89	41	test	test	NOUN
ajst-15581	89	42	area	area	NOUN
ajst-15581	89	43	,	,	PUNCT
ajst-15581	89	44	f	f	PROPN
ajst-15581	89	45	-	-	PUNCT
ajst-15581	89	46	k	k	PROPN
ajst-15581	89	47	filtering	filter	VERB
ajst-15581	89	48	data	datum	NOUN
ajst-15581	89	49	was	be	AUX
ajst-15581	89	50	used	use	VERB
ajst-15581	89	51	for	for	ADP
ajst-15581	89	52	analysis	analysis	NOUN
ajst-15581	89	53	.	.	PUNCT
ajst-15581	90	1	the	the	DET
ajst-15581	90	2	data	datum	NOUN
ajst-15581	90	3	revealed	reveal	VERB
ajst-15581	90	4	a	a	DET
ajst-15581	90	5	reflection	reflection	NOUN
ajst-15581	90	6	blank	blank	ADJ
ajst-15581	90	7	area	area	NOUN
ajst-15581	90	8	in	in	ADP
ajst-15581	90	9	the	the	DET
ajst-15581	90	10	reservoir	reservoir	NOUN
ajst-15581	90	11	stratum	stratum	NOUN
ajst-15581	90	12	at	at	ADP
ajst-15581	90	13	the	the	DET
ajst-15581	90	14	northeast	northeast	ADJ
ajst-15581	90	15	area	area	NOUN
ajst-15581	90	16	of	of	ADP
ajst-15581	90	17	the	the	DET
ajst-15581	90	18	main	main	ADJ
ajst-15581	90	19	body	body	NOUN
ajst-15581	90	20	in	in	ADP
ajst-15581	90	21	the	the	DET
ajst-15581	90	22	test	test	NOUN
ajst-15581	90	23	area	area	NOUN
ajst-15581	90	24	.	.	PUNCT
ajst-15581	91	1	there	there	PRON
ajst-15581	91	2	was	be	VERB
ajst-15581	91	3	still	still	ADV
ajst-15581	91	4	uncertainty	uncertainty	NOUN
ajst-15581	91	5	in	in	ADP
ajst-15581	91	6	the	the	DET
ajst-15581	91	7	reservoir	reservoir	NOUN
ajst-15581	91	8	stratum	stratum	NOUN
ajst-15581	91	9	,	,	PUNCT
ajst-15581	91	10	which	which	PRON
ajst-15581	91	11	requires	require	VERB
ajst-15581	91	12	further	further	ADJ
ajst-15581	91	13	application	application	NOUN
ajst-15581	91	14	with	with	ADP
ajst-15581	91	15	production	production	NOUN
ajst-15581	91	16	data	datum	NOUN
ajst-15581	91	17	to	to	PART
ajst-15581	91	18	make	make	VERB
ajst-15581	91	19	a	a	DET
ajst-15581	91	20	fine	fine	ADJ
ajst-15581	91	21	division	division	NOUN
ajst-15581	91	22	of	of	ADP
ajst-15581	91	23	the	the	DET
ajst-15581	91	24	reservoir	reservoir	NOUN
ajst-15581	91	25	stratum	stratum	NOUN
ajst-15581	91	26	in	in	ADP
ajst-15581	91	27	the	the	DET
ajst-15581	91	28	block	block	NOUN
ajst-15581	91	29	.	.	PUNCT
ajst-15581	92	1	3.2	3.2	NUM
ajst-15581	92	2	.	.	PUNCT
ajst-15581	93	1	overall	overall	ADJ
ajst-15581	93	2	process	process	NOUN
ajst-15581	93	3	following	follow	VERB
ajst-15581	93	4	the	the	DET
ajst-15581	93	5	above	above	ADJ
ajst-15581	93	6	description	description	NOUN
ajst-15581	93	7	,	,	PUNCT
ajst-15581	93	8	we	we	PRON
ajst-15581	93	9	adopted	adopt	VERB
ajst-15581	93	10	the	the	DET
ajst-15581	93	11	intelligent	intelligent	ADJ
ajst-15581	93	12	identification	identification	NOUN
ajst-15581	93	13	model	model	NOUN
ajst-15581	93	14	of	of	ADP
ajst-15581	93	15	the	the	DET
ajst-15581	93	16	stratum	stratum	NOUN
ajst-15581	93	17	sub	sub	ADJ
ajst-15581	93	18	-	-	ADJ
ajst-15581	93	19	layer	layer	NOUN
ajst-15581	93	20	based	base	VERB
ajst-15581	93	21	on	on	ADP
ajst-15581	93	22	the	the	DET
ajst-15581	93	23	multi	multi	ADJ
ajst-15581	93	24	-	-	ADJ
ajst-15581	93	25	parameter	parameter	ADJ
ajst-15581	93	26	fusion	fusion	NOUN
ajst-15581	93	27	of	of	ADP
ajst-15581	93	28	logging	log	VERB
ajst-15581	93	29	while	while	SCONJ
ajst-15581	93	30	drilling	drilling	NOUN
ajst-15581	93	31	,	,	PUNCT
ajst-15581	93	32	and	and	CCONJ
ajst-15581	93	33	its	its	PRON
ajst-15581	93	34	model	model	NOUN
ajst-15581	93	35	test	test	NOUN
ajst-15581	93	36	flow	flow	NOUN
ajst-15581	93	37	chart	chart	NOUN
ajst-15581	93	38	as	as	SCONJ
ajst-15581	93	39	shown	show	VERB
ajst-15581	93	40	in	in	ADP
ajst-15581	93	41	figure	figure	NOUN
ajst-15581	93	42	1	1	NUM
ajst-15581	93	43	.	.	PUNCT
ajst-15581	94	1	the	the	DET
ajst-15581	94	2	major	major	ADJ
ajst-15581	94	3	operation	operation	NOUN
ajst-15581	94	4	steps	step	NOUN
ajst-15581	94	5	of	of	ADP
ajst-15581	94	6	the	the	DET
ajst-15581	94	7	experimental	experimental	ADJ
ajst-15581	94	8	process	process	NOUN
ajst-15581	94	9	were	be	AUX
ajst-15581	94	10	as	as	SCONJ
ajst-15581	94	11	follows	follow	VERB
ajst-15581	94	12	:	:	PUNCT
ajst-15581	94	13	①	①	X
ajst-15581	94	14	pre	pre	VERB
ajst-15581	94	15	-	-	ADJ
ajst-15581	94	16	treating	treat	VERB
ajst-15581	94	17	the	the	DET
ajst-15581	94	18	element	element	NOUN
ajst-15581	94	19	logging	log	VERB
ajst-15581	94	20	parameters	parameter	NOUN
ajst-15581	94	21	,	,	PUNCT
ajst-15581	94	22	manually	manually	ADV
ajst-15581	94	23	removing	remove	VERB
ajst-15581	94	24	elements	element	NOUN
ajst-15581	94	25	with	with	ADP
ajst-15581	94	26	less	less	ADJ
ajst-15581	94	27	content	content	NOUN
ajst-15581	94	28	,	,	PUNCT
ajst-15581	94	29	and	and	CCONJ
ajst-15581	94	30	conducting	conduct	VERB
ajst-15581	94	31	3𝜎	3𝜎	NUM
ajst-15581	94	32	standard	standard	ADJ
ajst-15581	94	33	de	de	NOUN
ajst-15581	94	34	-	-	ADJ
ajst-15581	94	35	noising	noising	ADJ
ajst-15581	94	36	and	and	CCONJ
ajst-15581	94	37	five	five	NUM
ajst-15581	94	38	-	-	PUNCT
ajst-15581	94	39	point	point	NOUN
ajst-15581	94	40	three	three	NUM
ajst-15581	94	41	-	-	PUNCT
ajst-15581	94	42	time	time	NOUN
ajst-15581	94	43	smoothing	smoothing	NOUN
ajst-15581	94	44	for	for	ADP
ajst-15581	94	45	drilling	drill	VERB
ajst-15581	94	46	engineering	engineering	NOUN
ajst-15581	94	47	parameters	parameter	NOUN
ajst-15581	94	48	,	,	PUNCT
ajst-15581	94	49	as	as	ADV
ajst-15581	94	50	well	well	ADV
ajst-15581	94	51	as	as	ADP
ajst-15581	94	52	combining	combine	VERB
ajst-15581	94	53	with	with	ADP
ajst-15581	94	54	element	element	NOUN
ajst-15581	94	55	logging	log	VERB
ajst-15581	94	56	parameters	parameter	NOUN
ajst-15581	94	57	to	to	PART
ajst-15581	94	58	form	form	VERB
ajst-15581	94	59	new	new	ADJ
ajst-15581	94	60	data	datum	NOUN
ajst-15581	94	61	samples	sample	NOUN
ajst-15581	94	62	;	;	PUNCT
ajst-15581	94	63	②	②	NUM
ajst-15581	94	64	dividing	divide	VERB
ajst-15581	94	65	the	the	DET
ajst-15581	94	66	obtained	obtain	VERB
ajst-15581	94	67	data	data	NOUN
ajst-15581	94	68	samples	sample	NOUN
ajst-15581	94	69	into	into	ADP
ajst-15581	94	70	training	training	NOUN
ajst-15581	94	71	sets	set	NOUN
ajst-15581	94	72	and	and	CCONJ
ajst-15581	94	73	test	test	NOUN
ajst-15581	94	74	sets	set	NOUN
ajst-15581	94	75	according	accord	VERB
ajst-15581	94	76	to	to	ADP
ajst-15581	94	77	a	a	DET
ajst-15581	94	78	certain	certain	ADJ
ajst-15581	94	79	proportion	proportion	NOUN
ajst-15581	94	80	,	,	PUNCT
ajst-15581	94	81	and	and	CCONJ
ajst-15581	94	82	setting	set	VERB
ajst-15581	94	83	the	the	DET
ajst-15581	94	84	parameters	parameter	NOUN
ajst-15581	94	85	of	of	ADP
ajst-15581	94	86	each	each	DET
ajst-15581	94	87	model	model	NOUN
ajst-15581	94	88	and	and	CCONJ
ajst-15581	94	89	conducting	conduct	VERB
ajst-15581	94	90	model	model	NOUN
ajst-15581	94	91	training	training	NOUN
ajst-15581	94	92	;	;	PUNCT
ajst-15581	94	93	③	③	NUM
ajst-15581	94	94	inputting	inputte	VERB
ajst-15581	94	95	the	the	DET
ajst-15581	94	96	test	test	NOUN
ajst-15581	94	97	set	set	VERB
ajst-15581	94	98	into	into	ADP
ajst-15581	94	99	each	each	DET
ajst-15581	94	100	model	model	NOUN
ajst-15581	94	101	,	,	PUNCT
ajst-15581	94	102	comparing	compare	VERB
ajst-15581	94	103	the	the	DET
ajst-15581	94	104	prediction	prediction	NOUN
ajst-15581	94	105	effect	effect	NOUN
ajst-15581	94	106	of	of	ADP
ajst-15581	94	107	different	different	ADJ
ajst-15581	94	108	models	model	NOUN
ajst-15581	94	109	through	through	ADP
ajst-15581	94	110	evaluation	evaluation	NOUN
ajst-15581	94	111	indicators	indicator	NOUN
ajst-15581	94	112	,	,	PUNCT
ajst-15581	94	113	and	and	CCONJ
ajst-15581	94	114	selecting	select	VERB
ajst-15581	94	115	the	the	DET
ajst-15581	94	116	optimal	optimal	ADJ
ajst-15581	94	117	prediction	prediction	NOUN
ajst-15581	94	118	model	model	NOUN
ajst-15581	94	119	;	;	PUNCT
ajst-15581	94	120	④	④	NUM
ajst-15581	94	121	optimizing	optimize	VERB
ajst-15581	94	122	the	the	DET
ajst-15581	94	123	input	input	NOUN
ajst-15581	94	124	parameters	parameter	NOUN
ajst-15581	94	125	of	of	ADP
ajst-15581	94	126	the	the	DET
ajst-15581	94	127	optimal	optimal	ADJ
ajst-15581	94	128	model	model	NOUN
ajst-15581	94	129	,	,	PUNCT
ajst-15581	94	130	and	and	CCONJ
ajst-15581	94	131	taking	take	VERB
ajst-15581	94	132	a	a	DET
ajst-15581	94	133	well	well	NOUN
ajst-15581	94	134	in	in	ADP
ajst-15581	94	135	the	the	DET
ajst-15581	94	136	study	study	NOUN
ajst-15581	94	137	block	block	NOUN
ajst-15581	94	138	as	as	ADP
ajst-15581	94	139	an	an	DET
ajst-15581	94	140	example	example	NOUN
ajst-15581	94	141	to	to	PART
ajst-15581	94	142	apply	apply	VERB
ajst-15581	94	143	and	and	CCONJ
ajst-15581	94	144	verify	verify	VERB
ajst-15581	94	145	the	the	DET
ajst-15581	94	146	model	model	NOUN
ajst-15581	94	147	to	to	PART
ajst-15581	94	148	get	get	VERB
ajst-15581	94	149	the	the	DET
ajst-15581	94	150	result	result	NOUN
ajst-15581	94	151	of	of	ADP
ajst-15581	94	152	sub	sub	ADJ
ajst-15581	94	153	-	-	ADJ
ajst-15581	94	154	layer	layer	ADJ
ajst-15581	94	155	identification	identification	NOUN
ajst-15581	94	156	.	.	PUNCT
ajst-15581	95	1	figure	figure	NOUN
ajst-15581	95	2	2	2	NUM
ajst-15581	95	3	.	.	PUNCT
ajst-15581	95	4	flow	flow	VERB
ajst-15581	95	5	chart	chart	NOUN
ajst-15581	95	6	of	of	ADP
ajst-15581	95	7	intelligent	intelligent	ADJ
ajst-15581	95	8	identification	identification	NOUN
ajst-15581	95	9	of	of	ADP
ajst-15581	95	10	sub	sub	NOUN
ajst-15581	95	11	-	-	NOUN
ajst-15581	95	12	layer	layer	ADJ
ajst-15581	95	13	4	4	NUM
ajst-15581	95	14	.	.	PUNCT
ajst-15581	96	1	sub	sub	ADJ
ajst-15581	96	2	-	-	ADJ
ajst-15581	96	3	layer	layer	ADJ
ajst-15581	96	4	division	division	NOUN
ajst-15581	96	5	model	model	NOUN
ajst-15581	96	6	based	base	VERB
ajst-15581	96	7	on	on	ADP
ajst-15581	96	8	lightgbm	lightgbm	ADJ
ajst-15581	96	9	4.1	4.1	NUM
ajst-15581	96	10	.	.	PUNCT
ajst-15581	97	1	data	datum	NOUN
ajst-15581	97	2	processing	process	VERB
ajst-15581	97	3	there	there	PRON
ajst-15581	97	4	were	be	VERB
ajst-15581	97	5	17	17	NUM
ajst-15581	97	6	characteristics	characteristic	NOUN
ajst-15581	97	7	in	in	ADP
ajst-15581	97	8	element	element	NOUN
ajst-15581	97	9	logging	log	VERB
ajst-15581	97	10	data	datum	NOUN
ajst-15581	97	11	,	,	PUNCT
ajst-15581	97	12	including	include	VERB
ajst-15581	97	13	extremely	extremely	ADV
ajst-15581	97	14	low	low	ADJ
ajst-15581	97	15	element	element	NOUN
ajst-15581	97	16	characteristics	characteristic	NOUN
ajst-15581	97	17	v	v	NOUN
ajst-15581	97	18	,	,	PUNCT
ajst-15581	97	19	ni	ni	PROPN
ajst-15581	97	20	,	,	PUNCT
ajst-15581	97	21	and	and	CCONJ
ajst-15581	97	22	sr	sr	PROPN
ajst-15581	97	23	.	.	PUNCT
ajst-15581	98	1	to	to	PART
ajst-15581	98	2	simplify	simplify	VERB
ajst-15581	98	3	the	the	DET
ajst-15581	98	4	model	model	NOUN
ajst-15581	98	5	input	input	NOUN
ajst-15581	98	6	and	and	CCONJ
ajst-15581	98	7	improve	improve	VERB
ajst-15581	98	8	the	the	DET
ajst-15581	98	9	operation	operation	NOUN
ajst-15581	98	10	speed	speed	NOUN
ajst-15581	98	11	,	,	PUNCT
ajst-15581	98	12	priority	priority	NOUN
ajst-15581	98	13	was	be	AUX
ajst-15581	98	14	given	give	VERB
ajst-15581	98	15	to	to	ADP
ajst-15581	98	16	the	the	DET
ajst-15581	98	17	element	element	NOUN
ajst-15581	98	18	characteristics	characteristic	NOUN
ajst-15581	98	19	with	with	ADP
ajst-15581	98	20	percentage	percentage	NOUN
ajst-15581	98	21	content	content	NOUN
ajst-15581	98	22	greater	great	ADJ
ajst-15581	98	23	than	than	ADP
ajst-15581	98	24	0.01	0.01	NUM
ajst-15581	98	25	,	,	PUNCT
ajst-15581	98	26	and	and	CCONJ
ajst-15581	98	27	the	the	DET
ajst-15581	98	28	selected	select	VERB
ajst-15581	98	29	parameters	parameter	NOUN
ajst-15581	98	30	were	be	AUX
ajst-15581	98	31	na	na	ADP
ajst-15581	98	32	,	,	PUNCT
ajst-15581	98	33	mg	mg	PROPN
ajst-15581	98	34	,	,	PUNCT
ajst-15581	98	35	al	al	PROPN
ajst-15581	98	36	,	,	PUNCT
ajst-15581	98	37	si	si	X
ajst-15581	98	38	,	,	PUNCT
ajst-15581	98	39	s	s	PROPN
ajst-15581	98	40	,	,	PUNCT
ajst-15581	98	41	k	k	NOUN
ajst-15581	98	42	,	,	PUNCT
ajst-15581	98	43	ca	can	AUX
ajst-15581	98	44	,	,	PUNCT
ajst-15581	98	45	ti	ti	NOUN
ajst-15581	98	46	,	,	PUNCT
ajst-15581	98	47	mn	mn	PROPN
ajst-15581	98	48	,	,	PUNCT
ajst-15581	98	49	and	and	CCONJ
ajst-15581	98	50	fe	fe	X
ajst-15581	98	51	.	.	PUNCT
ajst-15581	99	1	there	there	PRON
ajst-15581	99	2	were	be	VERB
ajst-15581	99	3	differences	difference	NOUN
ajst-15581	99	4	in	in	ADP
ajst-15581	99	5	the	the	DET
ajst-15581	99	6	dimensions	dimension	NOUN
ajst-15581	99	7	of	of	ADP
ajst-15581	99	8	the	the	DET
ajst-15581	99	9	original	original	ADJ
ajst-15581	99	10	logging	logging	NOUN
ajst-15581	99	11	while	while	SCONJ
ajst-15581	99	12	drilling	drill	VERB
ajst-15581	99	13	parameters	parameter	NOUN
ajst-15581	99	14	with	with	ADP
ajst-15581	99	15	varied	varied	ADJ
ajst-15581	99	16	physical	physical	ADJ
ajst-15581	99	17	meanings	meaning	NOUN
ajst-15581	99	18	.	.	PUNCT
ajst-15581	100	1	the	the	DET
ajst-15581	100	2	drilling	drilling	NOUN
ajst-15581	100	3	time	time	NOUN
ajst-15581	100	4	,	,	PUNCT
ajst-15581	100	5	drilling	drilling	NOUN
ajst-15581	100	6	pressure	pressure	NOUN
ajst-15581	100	7	,	,	PUNCT
ajst-15581	100	8	drilling	drill	VERB
ajst-15581	100	9	speed	speed	NOUN
ajst-15581	100	10	,	,	PUNCT
ajst-15581	100	11	torque	torque	NOUN
ajst-15581	100	12	,	,	PUNCT
ajst-15581	100	13	and	and	CCONJ
ajst-15581	100	14	fracture	fracture	NOUN
ajst-15581	100	15	pressure	pressure	NOUN
ajst-15581	100	16	gradient	gradient	NOUN
ajst-15581	100	17	,	,	PUNCT
ajst-15581	100	18	were	be	AUX
ajst-15581	100	19	processed	process	VERB
ajst-15581	100	20	and	and	CCONJ
ajst-15581	100	21	converted	convert	VERB
ajst-15581	100	22	the	the	DET
ajst-15581	100	23	original	original	ADJ
ajst-15581	100	24	data	datum	NOUN
ajst-15581	100	25	to	to	ADP
ajst-15581	100	26	[	[	X
ajst-15581	100	27	0,1	0,1	NUM
ajst-15581	100	28	]	]	PUNCT
ajst-15581	100	29	intervals	interval	NOUN
ajst-15581	100	30	by	by	ADP
ajst-15581	100	31	linear	linear	PROPN
ajst-15581	100	32	121	121	NUM
ajst-15581	100	33	normalization	normalization	NOUN
ajst-15581	100	34	:	:	PUNCT
ajst-15581	100	35	𝑥	𝑥	PROPN
ajst-15581	100	36	(	(	PUNCT
ajst-15581	100	37	1	1	NUM
ajst-15581	100	38	)	)	PUNCT
ajst-15581	100	39	where	where	SCONJ
ajst-15581	100	40	,	,	PUNCT
ajst-15581	100	41	𝑥	𝑥	PROPN
ajst-15581	100	42	is	be	AUX
ajst-15581	100	43	raw	raw	ADJ
ajst-15581	100	44	data	datum	NOUN
ajst-15581	100	45	,	,	PUNCT
ajst-15581	100	46	𝑥	𝑥	PROPN
ajst-15581	100	47	and	and	CCONJ
ajst-15581	100	48	𝑥	𝑥	PROPN
ajst-15581	100	49	are	be	AUX
ajst-15581	100	50	the	the	DET
ajst-15581	100	51	maximum	maximum	ADJ
ajst-15581	100	52	and	and	CCONJ
ajst-15581	100	53	minimum	minimum	ADJ
ajst-15581	100	54	values	value	NOUN
ajst-15581	100	55	of	of	ADP
ajst-15581	100	56	data	datum	NOUN
ajst-15581	100	57	respectively	respectively	ADV
ajst-15581	100	58	.	.	PUNCT
ajst-15581	101	1	to	to	PART
ajst-15581	101	2	prevent	prevent	VERB
ajst-15581	101	3	the	the	DET
ajst-15581	101	4	influence	influence	NOUN
ajst-15581	101	5	of	of	ADP
ajst-15581	101	6	gross	gross	ADJ
ajst-15581	101	7	errors	error	NOUN
ajst-15581	101	8	in	in	ADP
ajst-15581	101	9	data	datum	NOUN
ajst-15581	101	10	sets	set	NOUN
ajst-15581	101	11	on	on	ADP
ajst-15581	101	12	model	model	NOUN
ajst-15581	101	13	training	train	VERB
ajst-15581	101	14	the	the	DET
ajst-15581	101	15	3𝜎	3𝜎	NUM
ajst-15581	101	16	standard	standard	NOUN
ajst-15581	101	17	was	be	AUX
ajst-15581	101	18	adopted	adopt	VERB
ajst-15581	101	19	.	.	PUNCT
ajst-15581	102	1	3𝜎	3𝜎	NOUN
ajst-15581	102	2	standard	standard	NOUN
ajst-15581	102	3	requires	require	VERB
ajst-15581	102	4	equal	equal	ADJ
ajst-15581	102	5	precision	precision	NOUN
ajst-15581	102	6	measurement	measurement	NOUN
ajst-15581	102	7	for	for	ADP
ajst-15581	102	8	the	the	DET
ajst-15581	102	9	measured	measure	VERB
ajst-15581	102	10	and	and	CCONJ
ajst-15581	102	11	independently	independently	ADV
ajst-15581	102	12	obtained	obtain	VERB
ajst-15581	102	13	result𝑥	result𝑥	NOUN
ajst-15581	102	14	𝑥	𝑥	PROPN
ajst-15581	102	15	,	,	PUNCT
ajst-15581	102	16	𝑥	𝑥	X
ajst-15581	102	17	,	,	PUNCT
ajst-15581	102	18	…	…	PUNCT
ajst-15581	102	19	,	,	PUNCT
ajst-15581	102	20	𝑥	𝑥	X
ajst-15581	102	21	,	,	PUNCT
ajst-15581	102	22	where	where	SCONJ
ajst-15581	102	23	the	the	DET
ajst-15581	102	24	mean	mean	ADJ
ajst-15581	102	25	value	value	NOUN
ajst-15581	102	26	of	of	ADP
ajst-15581	102	27	𝑥	𝑥	NOUN
ajst-15581	102	28	was𝜇	was𝜇	ADJ
ajst-15581	102	29	,	,	PUNCT
ajst-15581	102	30	and	and	CCONJ
ajst-15581	102	31	the	the	DET
ajst-15581	102	32	standard	standard	ADJ
ajst-15581	102	33	deviation	deviation	NOUN
ajst-15581	102	34	was	be	AUX
ajst-15581	102	35	𝜎.	𝜎.	ADJ
ajst-15581	102	36	if	if	SCONJ
ajst-15581	102	37	𝑥	𝑥	PRON
ajst-15581	102	38	satisfied	satisfied	ADJ
ajst-15581	102	39	equation	equation	NOUN
ajst-15581	102	40	(	(	PUNCT
ajst-15581	102	41	2	2	NUM
ajst-15581	102	42	)	)	PUNCT
ajst-15581	102	43	,	,	PUNCT
ajst-15581	102	44	then	then	ADV
ajst-15581	102	45	𝑥	𝑥	PROPN
ajst-15581	102	46	was	be	AUX
ajst-15581	102	47	regarded	regard	VERB
ajst-15581	102	48	as	as	ADP
ajst-15581	102	49	an	an	DET
ajst-15581	102	50	abnormal	abnormal	ADJ
ajst-15581	102	51	value	value	NOUN
ajst-15581	102	52	and	and	CCONJ
ajst-15581	102	53	was	be	AUX
ajst-15581	102	54	eliminated[25	eliminated[25	PROPN
ajst-15581	102	55	]	]	PUNCT
ajst-15581	102	56	.	.	PUNCT
ajst-15581	103	1	after	after	ADP
ajst-15581	103	2	elimination	elimination	NOUN
ajst-15581	103	3	,	,	PUNCT
ajst-15581	103	4	it	it	PRON
ajst-15581	103	5	was	be	AUX
ajst-15581	103	6	filled	fill	VERB
ajst-15581	103	7	with	with	ADP
ajst-15581	103	8	the	the	DET
ajst-15581	103	9	mean	mean	ADJ
ajst-15581	103	10	value	value	NOUN
ajst-15581	103	11	of	of	ADP
ajst-15581	103	12	its	its	PRON
ajst-15581	103	13	front	front	ADJ
ajst-15581	103	14	and	and	CCONJ
ajst-15581	103	15	back	back	NOUN
ajst-15581	103	16	positions	position	NOUN
ajst-15581	103	17	.	.	PUNCT
ajst-15581	104	1	figure	figure	VERB
ajst-15581	104	2	3	3	NUM
ajst-15581	104	3	shows	show	VERB
ajst-15581	104	4	the	the	DET
ajst-15581	104	5	result	result	NOUN
ajst-15581	104	6	that	that	SCONJ
ajst-15581	104	7	partial	partial	ADJ
ajst-15581	104	8	drilling	drilling	NOUN
ajst-15581	104	9	samples	sample	NOUN
ajst-15581	104	10	passed	pass	VERB
ajst-15581	104	11	3𝜎	3𝜎	NUM
ajst-15581	104	12	standard	standard	ADJ
ajst-15581	104	13	treatment	treatment	NOUN
ajst-15581	104	14	.	.	PUNCT
ajst-15581	105	1	|𝑥	|𝑥	PROPN
ajst-15581	105	2	𝜇|	𝜇|	PROPN
ajst-15581	105	3	3𝜎	3𝜎	NUM
ajst-15581	105	4	,	,	PUNCT
ajst-15581	105	5	𝑖	𝑖	NOUN
ajst-15581	105	6	1,2	1,2	NUM
ajst-15581	105	7	,	,	PUNCT
ajst-15581	105	8	…	…	PUNCT
ajst-15581	105	9	,	,	PUNCT
ajst-15581	105	10	𝑛	𝑛	X
ajst-15581	105	11	(	(	PUNCT
ajst-15581	105	12	2	2	NUM
ajst-15581	105	13	)	)	PUNCT
ajst-15581	105	14	figure	figure	NOUN
ajst-15581	105	15	3	3	NUM
ajst-15581	105	16	.	.	PUNCT
ajst-15581	105	17	de	de	ADJ
ajst-15581	105	18	-	-	ADJ
ajst-15581	105	19	noising	noising	ADJ
ajst-15581	105	20	effect	effect	NOUN
ajst-15581	105	21	of	of	ADP
ajst-15581	105	22	partial	partial	ADJ
ajst-15581	105	23	drilling	drilling	NOUN
ajst-15581	105	24	samples	sample	NOUN
ajst-15581	105	25	during	during	ADP
ajst-15581	105	26	the	the	DET
ajst-15581	105	27	logging	logging	NOUN
ajst-15581	105	28	while	while	SCONJ
ajst-15581	105	29	drilling	drilling	NOUN
ajst-15581	105	30	process	process	NOUN
ajst-15581	105	31	,	,	PUNCT
ajst-15581	105	32	the	the	DET
ajst-15581	105	33	instrument	instrument	NOUN
ajst-15581	105	34	itself	itself	PRON
ajst-15581	105	35	or	or	CCONJ
ajst-15581	105	36	the	the	DET
ajst-15581	105	37	measurement	measurement	NOUN
ajst-15581	105	38	process	process	NOUN
ajst-15581	105	39	may	may	AUX
ajst-15581	105	40	be	be	AUX
ajst-15581	105	41	influenced	influence	VERB
ajst-15581	105	42	by	by	ADP
ajst-15581	105	43	environmental	environmental	ADJ
ajst-15581	105	44	and	and	CCONJ
ajst-15581	105	45	artificial	artificial	ADJ
ajst-15581	105	46	factors	factor	NOUN
ajst-15581	105	47	which	which	PRON
ajst-15581	105	48	may	may	AUX
ajst-15581	105	49	influence	influence	VERB
ajst-15581	105	50	the	the	DET
ajst-15581	105	51	quality	quality	NOUN
ajst-15581	105	52	of	of	ADP
ajst-15581	105	53	data	datum	NOUN
ajst-15581	105	54	at	at	ADP
ajst-15581	105	55	the	the	DET
ajst-15581	105	56	acquisition	acquisition	NOUN
ajst-15581	105	57	end	end	NOUN
ajst-15581	105	58	.	.	PUNCT
ajst-15581	106	1	to	to	PART
ajst-15581	106	2	prevent	prevent	VERB
ajst-15581	106	3	the	the	DET
ajst-15581	106	4	influence	influence	NOUN
ajst-15581	106	5	of	of	ADP
ajst-15581	106	6	noise	noise	NOUN
ajst-15581	106	7	on	on	ADP
ajst-15581	106	8	the	the	DET
ajst-15581	106	9	sub	sub	ADJ
ajst-15581	106	10	-	-	ADJ
ajst-15581	106	11	layer	layer	ADJ
ajst-15581	106	12	recognition	recognition	NOUN
ajst-15581	106	13	model	model	NOUN
ajst-15581	106	14	,	,	PUNCT
ajst-15581	106	15	we	we	PRON
ajst-15581	106	16	used	use	VERB
ajst-15581	106	17	the	the	DET
ajst-15581	106	18	fivepoint	fivepoint	NOUN
ajst-15581	106	19	three	three	NUM
ajst-15581	106	20	-	-	PUNCT
ajst-15581	106	21	time	time	NOUN
ajst-15581	106	22	filtering	filter	VERB
ajst-15581	106	23	algorithm	algorithm	NOUN
ajst-15581	106	24	on	on	ADP
ajst-15581	106	25	the	the	DET
ajst-15581	106	26	original	original	ADJ
ajst-15581	106	27	data	datum	NOUN
ajst-15581	106	28	.	.	PUNCT
ajst-15581	107	1	the	the	DET
ajst-15581	107	2	principle	principle	NOUN
ajst-15581	107	3	is	be	AUX
ajst-15581	107	4	a	a	DET
ajst-15581	107	5	processing	processing	NOUN
ajst-15581	107	6	method	method	NOUN
ajst-15581	107	7	that	that	PRON
ajst-15581	107	8	applies	apply	VERB
ajst-15581	107	9	the	the	DET
ajst-15581	107	10	least	least	ADJ
ajst-15581	107	11	squares	square	NOUN
ajst-15581	107	12	method	method	VERB
ajst-15581	107	13	to	to	PART
ajst-15581	107	14	smooth	smooth	VERB
ajst-15581	107	15	the	the	DET
ajst-15581	107	16	discrete	discrete	ADJ
ajst-15581	107	17	data	datum	NOUN
ajst-15581	107	18	with	with	ADP
ajst-15581	107	19	the	the	DET
ajst-15581	107	20	three	three	NUM
ajst-15581	107	21	-	-	PUNCT
ajst-15581	107	22	time	time	NOUN
ajst-15581	107	23	least	least	ADJ
ajst-15581	107	24	square	square	ADJ
ajst-15581	107	25	polynomial[26	polynomial[26	NOUN
ajst-15581	107	26	]	]	PUNCT
ajst-15581	107	27	.	.	PUNCT
ajst-15581	108	1	assuming	assume	VERB
ajst-15581	108	2	the	the	DET
ajst-15581	108	3	calculation	calculation	NOUN
ajst-15581	108	4	formula	formula	NOUN
ajst-15581	108	5	of	of	ADP
ajst-15581	108	6	sequence	sequence	NOUN
ajst-15581	108	7	𝑥	𝑥	PROPN
ajst-15581	108	8	𝑛	𝑛	PROPN
ajst-15581	108	9	,	,	PUNCT
ajst-15581	108	10	𝑛	𝑛	PROPN
ajst-15581	108	11	1,2	1,2	NUM
ajst-15581	108	12	,	,	PUNCT
ajst-15581	108	13	…	…	PUNCT
ajst-15581	108	14	,	,	PUNCT
ajst-15581	108	15	𝑛	𝑛	X
ajst-15581	108	16	,	,	PUNCT
ajst-15581	108	17	a	a	DET
ajst-15581	108	18	five	five	NUM
ajst-15581	108	19	-	-	PUNCT
ajst-15581	108	20	point	point	NOUN
ajst-15581	108	21	three	three	NUM
ajst-15581	108	22	-	-	PUNCT
ajst-15581	108	23	time	time	NOUN
ajst-15581	108	24	smoothing	smooth	VERB
ajst-15581	108	25	algorithm	algorithm	NOUN
ajst-15581	108	26	is	be	AUX
ajst-15581	108	27	shown	show	VERB
ajst-15581	108	28	in	in	ADP
ajst-15581	108	29	formula	formula	NOUN
ajst-15581	108	30	(	(	PUNCT
ajst-15581	108	31	3	3	NUM
ajst-15581	108	32	)	)	PUNCT
ajst-15581	108	33	.	.	PUNCT
ajst-15581	109	1	⎩	⎩	PROPN
ajst-15581	109	2	⎪	⎪	NOUN
ajst-15581	109	3	⎪	⎪	NOUN
ajst-15581	109	4	⎪	⎪	NOUN
ajst-15581	109	5	⎨	⎨	PROPN
ajst-15581	109	6	⎪	⎪	NOUN
ajst-15581	109	7	⎪	⎪	NOUN
ajst-15581	109	8	⎪	⎪	NOUN
ajst-15581	109	9	⎧	⎧	PROPN
ajst-15581	109	10	𝑦	𝑦	PROPN
ajst-15581	109	11	1	1	NUM
ajst-15581	109	12	69𝑥	69𝑥	NOUN
ajst-15581	109	13	1	1	NUM
ajst-15581	109	14	4	4	NUM
ajst-15581	109	15	𝑥	𝑥	SYM
ajst-15581	109	16	2	2	NUM
ajst-15581	109	17	𝑥	𝑥	NOUN
ajst-15581	109	18	4	4	NUM
ajst-15581	109	19	6𝑥	6𝑥	NOUN
ajst-15581	109	20	3	3	NUM
ajst-15581	109	21	𝑥	𝑥	NOUN
ajst-15581	109	22	5	5	NUM
ajst-15581	109	23	𝑦	𝑦	SYM
ajst-15581	109	24	2	2	NUM
ajst-15581	109	25	2	2	NUM
ajst-15581	109	26	𝑥	𝑥	NOUN
ajst-15581	109	27	1	1	NUM
ajst-15581	109	28	𝑥	𝑥	SYM
ajst-15581	109	29	5	5	NUM
ajst-15581	109	30	27𝑥	27𝑥	NOUN
ajst-15581	109	31	2	2	NUM
ajst-15581	109	32	12𝑥	12𝑥	NUM
ajst-15581	109	33	3	3	NUM
ajst-15581	109	34	8𝑥	8𝑥	X
ajst-15581	109	35	4	4	NUM
ajst-15581	109	36	⋮	⋮	NOUN
ajst-15581	109	37	𝑦	𝑦	NOUN
ajst-15581	109	38	𝑖	𝑖	ADP
ajst-15581	109	39	3	3	NUM
ajst-15581	109	40	𝑥	𝑥	NOUN
ajst-15581	109	41	𝑖	𝑖	SYM
ajst-15581	109	42	2	2	NUM
ajst-15581	109	43	𝑥	𝑥	NOUN
ajst-15581	109	44	𝑖	𝑖	SYM
ajst-15581	109	45	2	2	NUM
ajst-15581	109	46	12	12	NUM
ajst-15581	109	47	𝑥	𝑥	NOUN
ajst-15581	109	48	𝑖	𝑖	SYM
ajst-15581	109	49	1	1	NUM
ajst-15581	109	50	𝑥	𝑥	NOUN
ajst-15581	109	51	𝑖	𝑖	SYM
ajst-15581	109	52	1	1	NUM
ajst-15581	109	53	17𝑥	17𝑥	NOUN
ajst-15581	109	54	𝑖	𝑖	SYM
ajst-15581	109	55	⋮	⋮	NOUN
ajst-15581	109	56	𝑦	𝑦	NOUN
ajst-15581	109	57	𝑛	𝑛	ADJ
ajst-15581	109	58	1	1	NUM
ajst-15581	109	59	2	2	NUM
ajst-15581	109	60	𝑥	𝑥	NOUN
ajst-15581	109	61	𝑛	𝑛	DET
ajst-15581	109	62	4	4	NUM
ajst-15581	109	63	𝑥	𝑥	NOUN
ajst-15581	109	64	𝑛	𝑛	PRON
ajst-15581	109	65	8𝑥	8𝑥	NOUN
ajst-15581	109	66	𝑛	𝑛	DET
ajst-15581	109	67	3	3	NUM
ajst-15581	109	68	12𝑥	12𝑥	NOUN
ajst-15581	109	69	𝑛	𝑛	PROPN
ajst-15581	109	70	2	2	NUM
ajst-15581	109	71	27𝑥	27𝑥	NOUN
ajst-15581	109	72	𝑛	𝑛	ADP
ajst-15581	109	73	1	1	NUM
ajst-15581	109	74	𝑦	𝑦	NUM
ajst-15581	109	75	𝑛	𝑛	PRON
ajst-15581	109	76	𝑥	𝑥	NOUN
ajst-15581	109	77	𝑛	𝑛	PROPN
ajst-15581	109	78	4	4	NUM
ajst-15581	109	79	4	4	NUM
ajst-15581	109	80	𝑥	𝑥	NOUN
ajst-15581	109	81	𝑛	𝑛	PRON
ajst-15581	109	82	3	3	NUM
ajst-15581	109	83	𝑥	𝑥	NOUN
ajst-15581	109	84	𝑛	𝑛	PRON
ajst-15581	109	85	1	1	NUM
ajst-15581	109	86	6𝑥	6𝑥	NOUN
ajst-15581	109	87	𝑛	𝑛	DET
ajst-15581	109	88	2	2	NUM
ajst-15581	109	89	𝑥	𝑥	NOUN
ajst-15581	109	90	𝑛	𝑛	PROPN
ajst-15581	109	91	(	(	PUNCT
ajst-15581	109	92	3	3	NUM
ajst-15581	109	93	)	)	PUNCT
ajst-15581	109	94	figure	figure	NOUN
ajst-15581	109	95	4	4	NUM
ajst-15581	109	96	shows	show	VERB
ajst-15581	109	97	the	the	DET
ajst-15581	109	98	effect	effect	NOUN
ajst-15581	109	99	of	of	ADP
ajst-15581	109	100	partial	partial	ADJ
ajst-15581	109	101	drilling	drilling	NOUN
ajst-15581	109	102	speed	speed	NOUN
ajst-15581	109	103	samples	sample	NOUN
ajst-15581	109	104	after	after	ADP
ajst-15581	109	105	five	five	NUM
ajst-15581	109	106	-	-	PUNCT
ajst-15581	109	107	points	point	NOUN
ajst-15581	109	108	and	and	CCONJ
ajst-15581	109	109	three	three	NUM
ajst-15581	109	110	-	-	PUNCT
ajst-15581	109	111	times	time	NOUN
ajst-15581	109	112	smoothing	smoothing	NOUN
ajst-15581	109	113	.	.	PUNCT
ajst-15581	110	1	the	the	DET
ajst-15581	110	2	blue	blue	ADJ
ajst-15581	110	3	curve	curve	NOUN
ajst-15581	110	4	in	in	ADP
ajst-15581	110	5	the	the	DET
ajst-15581	110	6	figure	figure	NOUN
ajst-15581	110	7	is	be	AUX
ajst-15581	110	8	the	the	DET
ajst-15581	110	9	original	original	ADJ
ajst-15581	110	10	data	datum	NOUN
ajst-15581	110	11	,	,	PUNCT
ajst-15581	110	12	and	and	CCONJ
ajst-15581	110	13	the	the	DET
ajst-15581	110	14	orange	orange	PROPN
ajst-15581	110	15	curve	curve	NOUN
ajst-15581	110	16	is	be	AUX
ajst-15581	110	17	the	the	DET
ajst-15581	110	18	smoothed	smooth	VERB
ajst-15581	110	19	data	datum	NOUN
ajst-15581	110	20	.	.	PUNCT
ajst-15581	111	1	figure	figure	AUX
ajst-15581	111	2	4	4	NUM
ajst-15581	111	3	.	.	PUNCT
ajst-15581	111	4	smoothing	smooth	VERB
ajst-15581	111	5	effect	effect	NOUN
ajst-15581	111	6	of	of	ADP
ajst-15581	111	7	partial	partial	ADJ
ajst-15581	111	8	drilling	drilling	NOUN
ajst-15581	111	9	speed	speed	NOUN
ajst-15581	111	10	samples	sample	NOUN
ajst-15581	111	11	in	in	ADP
ajst-15581	111	12	addition	addition	NOUN
ajst-15581	111	13	,	,	PUNCT
ajst-15581	111	14	the	the	DET
ajst-15581	111	15	acquisition	acquisition	NOUN
ajst-15581	111	16	interval	interval	NOUN
ajst-15581	111	17	depth	depth	NOUN
ajst-15581	111	18	of	of	ADP
ajst-15581	111	19	element	element	NOUN
ajst-15581	111	20	logging	log	VERB
ajst-15581	111	21	data	datum	NOUN
ajst-15581	111	22	in	in	ADP
ajst-15581	111	23	the	the	DET
ajst-15581	111	24	original	original	ADJ
ajst-15581	111	25	data	datum	NOUN
ajst-15581	111	26	was	be	AUX
ajst-15581	111	27	5	5	NUM
ajst-15581	111	28	m.	m.	NOUN
ajst-15581	111	29	the	the	DET
ajst-15581	111	30	drilling	drilling	NOUN
ajst-15581	111	31	engineering	engineering	NOUN
ajst-15581	111	32	parameters	parameter	NOUN
ajst-15581	111	33	were	be	AUX
ajst-15581	111	34	taken	take	VERB
ajst-15581	111	35	at	at	ADP
ajst-15581	111	36	the	the	DET
ajst-15581	111	37	depth	depth	NOUN
ajst-15581	111	38	of	of	ADP
ajst-15581	111	39	1	1	NUM
ajst-15581	111	40	m.	m.	NOUN
ajst-15581	111	41	therefore	therefore	ADV
ajst-15581	111	42	,	,	PUNCT
ajst-15581	111	43	to	to	PART
ajst-15581	111	44	ensure	ensure	VERB
ajst-15581	111	45	the	the	DET
ajst-15581	111	46	consistency	consistency	NOUN
ajst-15581	111	47	of	of	ADP
ajst-15581	111	48	data	datum	NOUN
ajst-15581	111	49	in	in	ADP
ajst-15581	111	50	depth	depth	NOUN
ajst-15581	111	51	,	,	PUNCT
ajst-15581	111	52	the	the	DET
ajst-15581	111	53	top	top	ADJ
ajst-15581	111	54	depth	depth	NOUN
ajst-15581	111	55	in	in	ADP
ajst-15581	111	56	the	the	DET
ajst-15581	111	57	positioning	positioning	NOUN
ajst-15581	111	58	element	element	NOUN
ajst-15581	111	59	logging	log	VERB
ajst-15581	111	60	data	datum	NOUN
ajst-15581	111	61	was	be	AUX
ajst-15581	111	62	recorded	record	VERB
ajst-15581	111	63	as𝐷	as𝐷	PROPN
ajst-15581	111	64	.	.	PUNCT
ajst-15581	112	1	to	to	PART
ajst-15581	112	2	find	find	VERB
ajst-15581	112	3	the	the	DET
ajst-15581	112	4	corresponding	corresponding	ADJ
ajst-15581	112	5	depth	depth	NOUN
ajst-15581	112	6	of	of	ADP
ajst-15581	112	7	𝐷	𝐷	NOUN
ajst-15581	112	8	in	in	ADP
ajst-15581	112	9	the	the	DET
ajst-15581	112	10	drilling	drilling	NOUN
ajst-15581	112	11	engineering	engineering	NOUN
ajst-15581	112	12	parameters	parameter	NOUN
ajst-15581	112	13	,	,	PUNCT
ajst-15581	112	14	5	5	NUM
ajst-15581	112	15	m	m	NOUN
ajst-15581	112	16	from	from	ADP
ajst-15581	112	17	this	this	DET
ajst-15581	112	18	depth	depth	NOUN
ajst-15581	112	19	was	be	AUX
ajst-15581	112	20	measured	measure	VERB
ajst-15581	112	21	and	and	CCONJ
ajst-15581	112	22	marked	mark	VERB
ajst-15581	112	23	as𝐷	as𝐷	PROPN
ajst-15581	112	24	.	.	PUNCT
ajst-15581	113	1	the	the	DET
ajst-15581	113	2	average	average	ADJ
ajst-15581	113	3	value	value	NOUN
ajst-15581	113	4	of	of	ADP
ajst-15581	113	5	the	the	DET
ajst-15581	113	6	depth	depth	NOUN
ajst-15581	113	7	interval	interval	NOUN
ajst-15581	113	8	𝐷	𝐷	PROPN
ajst-15581	113	9	~𝐷	~𝐷	PROPN
ajst-15581	113	10	was	be	AUX
ajst-15581	113	11	calculated	calculate	VERB
ajst-15581	113	12	in	in	ADP
ajst-15581	113	13	the	the	DET
ajst-15581	113	14	drilling	drilling	NOUN
ajst-15581	113	15	engineering	engineering	NOUN
ajst-15581	113	16	parameter	parameter	NOUN
ajst-15581	113	17	at	at	ADP
ajst-15581	113	18	depth	depth	NOUN
ajst-15581	113	19	𝐷	𝐷	NOUN
ajst-15581	113	20	.	.	PUNCT
ajst-15581	114	1	the	the	DET
ajst-15581	114	2	method	method	NOUN
ajst-15581	114	3	was	be	AUX
ajst-15581	114	4	applied	apply	VERB
ajst-15581	114	5	to	to	PART
ajst-15581	114	6	calculate	calculate	VERB
ajst-15581	114	7	the	the	DET
ajst-15581	114	8	average	average	ADJ
ajst-15581	114	9	value	value	NOUN
ajst-15581	114	10	of	of	ADP
ajst-15581	114	11	the	the	DET
ajst-15581	114	12	drilling	drilling	NOUN
ajst-15581	114	13	parameter	parameter	NOUN
ajst-15581	114	14	data	datum	NOUN
ajst-15581	114	15	set	set	VERB
ajst-15581	114	16	at	at	ADP
ajst-15581	114	17	an	an	DET
ajst-15581	114	18	interval	interval	NOUN
ajst-15581	114	19	of	of	ADP
ajst-15581	114	20	5	5	NUM
ajst-15581	114	21	m	m	NOUN
ajst-15581	114	22	,	,	PUNCT
ajst-15581	114	23	and	and	CCONJ
ajst-15581	114	24	the	the	DET
ajst-15581	114	25	final	final	ADJ
ajst-15581	114	26	data	data	NOUN
ajst-15581	114	27	sample	sample	NOUN
ajst-15581	114	28	can	can	AUX
ajst-15581	114	29	be	be	AUX
ajst-15581	114	30	obtained	obtain	VERB
ajst-15581	114	31	by	by	ADP
ajst-15581	114	32	integrating	integrate	VERB
ajst-15581	114	33	it	it	PRON
ajst-15581	114	34	with	with	ADP
ajst-15581	114	35	the	the	DET
ajst-15581	114	36	element	element	NOUN
ajst-15581	114	37	data	datum	NOUN
ajst-15581	114	38	set	set	VERB
ajst-15581	114	39	.	.	PUNCT
ajst-15581	115	1	4.2	4.2	NUM
ajst-15581	115	2	.	.	PUNCT
ajst-15581	115	3	evaluation	evaluation	NOUN
ajst-15581	115	4	indicators	indicator	NOUN
ajst-15581	115	5	considering	consider	VERB
ajst-15581	115	6	that	that	SCONJ
ajst-15581	115	7	the	the	DET
ajst-15581	115	8	number	number	NOUN
ajst-15581	115	9	of	of	ADP
ajst-15581	115	10	samples	sample	NOUN
ajst-15581	115	11	in	in	ADP
ajst-15581	115	12	some	some	DET
ajst-15581	115	13	wells	well	NOUN
ajst-15581	115	14	is	be	AUX
ajst-15581	115	15	unbalanced	unbalanced	ADJ
ajst-15581	115	16	,	,	PUNCT
ajst-15581	115	17	in	in	ADP
ajst-15581	115	18	order	order	NOUN
ajst-15581	115	19	to	to	PART
ajst-15581	115	20	better	well	ADV
ajst-15581	115	21	reflect	reflect	VERB
ajst-15581	115	22	the	the	DET
ajst-15581	115	23	prediction	prediction	NOUN
ajst-15581	115	24	ability	ability	NOUN
ajst-15581	115	25	of	of	ADP
ajst-15581	115	26	the	the	DET
ajst-15581	115	27	model	model	NOUN
ajst-15581	115	28	,	,	PUNCT
ajst-15581	115	29	this	this	DET
ajst-15581	115	30	paper	paper	NOUN
ajst-15581	115	31	uses	use	VERB
ajst-15581	115	32	two	two	NUM
ajst-15581	115	33	indicators	indicator	NOUN
ajst-15581	115	34	,	,	PUNCT
ajst-15581	115	35	f1	f1	NOUN
ajst-15581	115	36	-	-	PUNCT
ajst-15581	115	37	score	score	NOUN
ajst-15581	115	38	and	and	CCONJ
ajst-15581	115	39	auc[27	auc[27	NOUN
ajst-15581	115	40	]	]	PUNCT
ajst-15581	115	41	,	,	PUNCT
ajst-15581	115	42	to	to	PART
ajst-15581	115	43	comprehensively	comprehensively	ADV
ajst-15581	115	44	evaluate	evaluate	VERB
ajst-15581	115	45	the	the	DET
ajst-15581	115	46	model	model	NOUN
ajst-15581	115	47	.	.	PUNCT
ajst-15581	116	1	among	among	ADP
ajst-15581	116	2	them	they	PRON
ajst-15581	116	3	,	,	PUNCT
ajst-15581	116	4	f1	f1	NOUN
ajst-15581	116	5	-	-	PUNCT
ajst-15581	116	6	score	score	NOUN
ajst-15581	116	7	has	have	VERB
ajst-15581	116	8	a	a	DET
ajst-15581	116	9	good	good	ADJ
ajst-15581	116	10	integration	integration	NOUN
ajst-15581	116	11	of	of	ADP
ajst-15581	116	12	precision	precision	NOUN
ajst-15581	116	13	and	and	CCONJ
ajst-15581	116	14	recall	recall	NOUN
ajst-15581	116	15	rate	rate	NOUN
ajst-15581	116	16	,	,	PUNCT
ajst-15581	116	17	which	which	PRON
ajst-15581	116	18	is	be	AUX
ajst-15581	116	19	more	more	ADV
ajst-15581	116	20	evaluative	evaluative	ADJ
ajst-15581	116	21	.	.	PUNCT
ajst-15581	117	1	the	the	DET
ajst-15581	117	2	calculation	calculation	NOUN
ajst-15581	117	3	formula	formula	NOUN
ajst-15581	117	4	of	of	ADP
ajst-15581	117	5	f1score	f1score	NOUN
ajst-15581	117	6	is	be	AUX
ajst-15581	117	7	as	as	SCONJ
ajst-15581	117	8	follows	follow	VERB
ajst-15581	117	9	:	:	PUNCT
ajst-15581	117	10	𝑝𝑟𝑒	𝑝𝑟𝑒	NOUN
ajst-15581	117	11	𝑇𝑃/	𝑇𝑃/	PROPN
ajst-15581	117	12	𝑇𝑃	𝑇𝑃	PROPN
ajst-15581	117	13	𝐹𝑃	𝐹𝑃	PROPN
ajst-15581	117	14	𝑟𝑒𝑐	𝑟𝑒𝑐	NOUN
ajst-15581	117	15	𝑇𝑃/	𝑇𝑃/	PROPN
ajst-15581	117	16	𝑇𝑃	𝑇𝑃	NOUN
ajst-15581	117	17	𝐹𝑁	𝐹𝑁	PROPN
ajst-15581	117	18	𝐹1	𝐹1	NOUN
ajst-15581	117	19	2	2	NUM
ajst-15581	117	20	𝑝𝑟𝑒	𝑝𝑟𝑒	PROPN
ajst-15581	117	21	𝑟𝑒𝑐/	𝑟𝑒𝑐/	PROPN
ajst-15581	117	22	𝑝𝑟𝑒	𝑝𝑟𝑒	VERB
ajst-15581	117	23	𝑟𝑒𝑐	𝑟𝑒𝑐	NOUN
ajst-15581	117	24	(	(	PUNCT
ajst-15581	117	25	4	4	NUM
ajst-15581	117	26	)	)	PUNCT
ajst-15581	117	27	where	where	SCONJ
ajst-15581	117	28	𝑝𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑝𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	NOUN
ajst-15581	117	29	represents	represent	VERB
ajst-15581	117	30	the	the	DET
ajst-15581	117	31	precision	precision	NOUN
ajst-15581	117	32	and	and	CCONJ
ajst-15581	117	33	𝑟𝑒𝑐𝑎𝑙𝑙	𝑟𝑒𝑐𝑎𝑙𝑙	NOUN
ajst-15581	117	34	represents	represent	VERB
ajst-15581	117	35	the	the	DET
ajst-15581	117	36	recall	recall	NOUN
ajst-15581	117	37	rate	rate	NOUN
ajst-15581	117	38	.	.	PUNCT
ajst-15581	118	1	the	the	DET
ajst-15581	118	2	prediction	prediction	NOUN
ajst-15581	118	3	results	result	NOUN
ajst-15581	118	4	of	of	ADP
ajst-15581	118	5	pattern	pattern	NOUN
ajst-15581	118	6	recognition	recognition	NOUN
ajst-15581	118	7	can	can	AUX
ajst-15581	118	8	generally	generally	ADV
ajst-15581	118	9	be	be	AUX
ajst-15581	118	10	classified	classify	VERB
ajst-15581	118	11	into	into	ADP
ajst-15581	118	12	four	four	NUM
ajst-15581	118	13	categories	category	NOUN
ajst-15581	118	14	:	:	PUNCT
ajst-15581	118	15	𝑇𝑃	𝑇𝑃	NOUN
ajst-15581	118	16	is	be	AUX
ajst-15581	118	17	the	the	DET
ajst-15581	118	18	true	true	ADJ
ajst-15581	118	19	case	case	NOUN
ajst-15581	118	20	,	,	PUNCT
ajst-15581	118	21	𝐹𝑃	𝐹𝑃	PROPN
ajst-15581	118	22	is	be	AUX
ajst-15581	118	23	the	the	DET
ajst-15581	118	24	false	false	ADJ
ajst-15581	118	25	positive	positive	ADJ
ajst-15581	118	26	case	case	NOUN
ajst-15581	118	27	,	,	PUNCT
ajst-15581	118	28	𝐹𝑁	𝐹𝑁	PROPN
ajst-15581	118	29	is	be	AUX
ajst-15581	118	30	the	the	DET
ajst-15581	118	31	false	false	ADJ
ajst-15581	118	32	negative	negative	ADJ
ajst-15581	118	33	case	case	NOUN
ajst-15581	118	34	,	,	PUNCT
ajst-15581	118	35	and	and	CCONJ
ajst-15581	118	36	𝑇𝑁	𝑇𝑁	PROPN
ajst-15581	118	37	is	be	AUX
ajst-15581	118	38	the	the	DET
ajst-15581	118	39	true	true	ADJ
ajst-15581	118	40	negative	negative	ADJ
ajst-15581	118	41	case	case	NOUN
ajst-15581	118	42	.	.	PUNCT
ajst-15581	119	1	𝐴𝑈𝐶	𝐴𝑈𝐶	NOUN
ajst-15581	119	2	can	can	AUX
ajst-15581	119	3	estimate	estimate	VERB
ajst-15581	119	4	the	the	DET
ajst-15581	119	5	discrimination	discrimination	NOUN
ajst-15581	119	6	ability	ability	NOUN
ajst-15581	119	7	of	of	ADP
ajst-15581	119	8	the	the	DET
ajst-15581	119	9	model	model	NOUN
ajst-15581	119	10	without	without	ADP
ajst-15581	119	11	any	any	DET
ajst-15581	119	12	prior	prior	ADJ
ajst-15581	119	13	information	information	NOUN
ajst-15581	119	14	of	of	ADP
ajst-15581	119	15	misjudgment	misjudgment	NOUN
ajst-15581	119	16	cost	cost	NOUN
ajst-15581	119	17	.	.	PUNCT
ajst-15581	120	1	it	it	PRON
ajst-15581	120	2	is	be	AUX
ajst-15581	120	3	independent	independent	ADJ
ajst-15581	120	4	of	of	ADP
ajst-15581	120	5	the	the	DET
ajst-15581	120	6	threshold	threshold	NOUN
ajst-15581	120	7	,	,	PUNCT
ajst-15581	120	8	which	which	PRON
ajst-15581	120	9	neither	neither	CCONJ
ajst-15581	120	10	varies	vary	VERB
ajst-15581	120	11	with	with	ADP
ajst-15581	120	12	different	different	ADJ
ajst-15581	120	13	thresholds	threshold	NOUN
ajst-15581	120	14	,	,	PUNCT
ajst-15581	120	15	nor	nor	CCONJ
ajst-15581	120	16	depends	depend	VERB
ajst-15581	120	17	on	on	ADP
ajst-15581	120	18	other	other	ADJ
ajst-15581	120	19	parameters	parameter	NOUN
ajst-15581	120	20	,	,	PUNCT
ajst-15581	120	21	and	and	CCONJ
ajst-15581	120	22	can	can	AUX
ajst-15581	120	23	effectively	effectively	ADV
ajst-15581	120	24	measure	measure	VERB
ajst-15581	120	25	the	the	DET
ajst-15581	120	26	overall	overall	ADJ
ajst-15581	120	27	performance	performance	NOUN
ajst-15581	120	28	of	of	ADP
ajst-15581	120	29	the	the	DET
ajst-15581	120	30	classification	classification	NOUN
ajst-15581	120	31	model	model	NOUN
ajst-15581	120	32	[	[	X
ajst-15581	120	33	28	28	NUM
ajst-15581	120	34	]	]	PUNCT
ajst-15581	120	35	.	.	PUNCT
ajst-15581	121	1	𝐴𝑈𝐶	𝐴𝑈𝐶	NOUN
ajst-15581	121	2	represents	represent	VERB
ajst-15581	121	3	the	the	DET
ajst-15581	121	4	area	area	NOUN
ajst-15581	121	5	under	under	ADP
ajst-15581	121	6	the	the	DET
ajst-15581	121	7	𝑅𝑂𝐶	𝑅𝑂𝐶	PROPN
ajst-15581	121	8	𝑟𝑒𝑐𝑒𝑖𝑣𝑒	𝑟𝑒𝑐𝑒𝑖𝑣𝑒	PROPN
ajst-15581	121	9	𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑛𝑔	𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑛𝑔	NOUN
ajst-15581	121	10	𝑐ℎ𝑎𝑟𝑎𝑐𝑡𝑒𝑟𝑖𝑠𝑡𝑖𝑐	𝑐ℎ𝑎𝑟𝑎𝑐𝑡𝑒𝑟𝑖𝑠𝑡𝑖𝑐	NOUN
ajst-15581	121	11	curve	curve	VERB
ajst-15581	121	12	.	.	PUNCT
ajst-15581	122	1	the	the	PRON
ajst-15581	122	2	higher	high	ADJ
ajst-15581	122	3	the	the	DET
ajst-15581	122	4	value	value	NOUN
ajst-15581	122	5	,	,	PUNCT
ajst-15581	122	6	the	the	PRON
ajst-15581	122	7	better	well	ADJ
ajst-15581	122	8	the	the	DET
ajst-15581	122	9	robustness	robustness	NOUN
ajst-15581	122	10	of	of	ADP
ajst-15581	122	11	the	the	DET
ajst-15581	122	12	model	model	NOUN
ajst-15581	122	13	.	.	PUNCT
ajst-15581	123	1	the	the	DET
ajst-15581	123	2	𝑅𝑂𝐶	𝑅𝑂𝐶	PROPN
ajst-15581	123	3	curve	curve	NOUN
ajst-15581	123	4	was	be	AUX
ajst-15581	123	5	drawn	draw	VERB
ajst-15581	123	6	from	from	ADP
ajst-15581	123	7	the	the	DET
ajst-15581	123	8	true	true	ADJ
ajst-15581	123	9	positive	positive	ADJ
ajst-15581	123	10	rate	rate	NOUN
ajst-15581	123	11	𝑇𝑃𝑅	𝑇𝑃𝑅	PROPN
ajst-15581	123	12	as	as	ADP
ajst-15581	123	13	the	the	DET
ajst-15581	123	14	𝑦-axis	𝑦-axis	NOUN
ajst-15581	123	15	and	and	CCONJ
ajst-15581	123	16	the	the	DET
ajst-15581	123	17	false	false	ADJ
ajst-15581	123	18	positive	positive	ADJ
ajst-15581	123	19	rate	rate	NOUN
ajst-15581	123	20	𝑇𝑃𝑅	𝑇𝑃𝑅	PROPN
ajst-15581	123	21	as	as	ADP
ajst-15581	123	22	the	the	DET
ajst-15581	123	23	𝑥-axis	𝑥-axi	NOUN
ajst-15581	123	24	,	,	PUNCT
ajst-15581	123	25	and	and	CCONJ
ajst-15581	123	26	its	its	PRON
ajst-15581	123	27	value	value	NOUN
ajst-15581	123	28	range	range	NOUN
ajst-15581	123	29	was	be	AUX
ajst-15581	123	30	[	[	X
ajst-15581	123	31	0	0	NUM
ajst-15581	123	32	,	,	PUNCT
ajst-15581	123	33	1	1	NUM
ajst-15581	123	34	]	]	PUNCT
ajst-15581	123	35	.	.	PUNCT
ajst-15581	124	1	the	the	DET
ajst-15581	124	2	calculation	calculation	NOUN
ajst-15581	124	3	formula	formula	NOUN
ajst-15581	124	4	of	of	ADP
ajst-15581	124	5	tpr	tpr	NOUN
ajst-15581	124	6	and	and	CCONJ
ajst-15581	124	7	fpr	fpr	NOUN
ajst-15581	124	8	was	be	AUX
ajst-15581	124	9	as	as	SCONJ
ajst-15581	124	10	follows	follow	VERB
ajst-15581	124	11	:	:	PUNCT
ajst-15581	125	1	𝑇𝑃𝑅	𝑇𝑃𝑅	PROPN
ajst-15581	125	2	𝑇𝑃/	𝑇𝑃/	ADJ
ajst-15581	125	3	𝑇𝑃	𝑇𝑃	NOUN
ajst-15581	125	4	𝐹𝑁	𝐹𝑁	NOUN
ajst-15581	125	5	𝐹𝑃𝑅	𝐹𝑃𝑅	NOUN
ajst-15581	125	6	𝐹𝑃/	𝐹𝑃/	NOUN
ajst-15581	125	7	𝐹𝑃	𝐹𝑃	PROPN
ajst-15581	125	8	𝑇𝑁	𝑇𝑁	PROPN
ajst-15581	125	9	(	(	PUNCT
ajst-15581	125	10	5	5	NUM
ajst-15581	125	11	)	)	PUNCT
ajst-15581	125	12	122	122	NUM
ajst-15581	125	13	the	the	DET
ajst-15581	125	14	pattern	pattern	NOUN
ajst-15581	125	15	recognition	recognition	NOUN
ajst-15581	125	16	result	result	NOUN
ajst-15581	125	17	of	of	ADP
ajst-15581	125	18	the	the	DET
ajst-15581	125	19	model	model	NOUN
ajst-15581	125	20	is	be	AUX
ajst-15581	125	21	the	the	DET
ajst-15581	125	22	output	output	NOUN
ajst-15581	125	23	in	in	ADP
ajst-15581	125	24	probability	probability	NOUN
ajst-15581	125	25	value	value	NOUN
ajst-15581	125	26	.	.	PUNCT
ajst-15581	126	1	at	at	ADP
ajst-15581	126	2	this	this	DET
ajst-15581	126	3	point	point	NOUN
ajst-15581	126	4	,	,	PUNCT
ajst-15581	126	5	a	a	DET
ajst-15581	126	6	probability	probability	NOUN
ajst-15581	126	7	value	value	NOUN
ajst-15581	126	8	as	as	SCONJ
ajst-15581	126	9	the	the	DET
ajst-15581	126	10	threshold	threshold	NOUN
ajst-15581	126	11	can	can	AUX
ajst-15581	126	12	be	be	AUX
ajst-15581	126	13	acquired	acquire	VERB
ajst-15581	126	14	as	as	ADP
ajst-15581	126	15	a	a	DET
ajst-15581	126	16	set	set	NOUN
ajst-15581	126	17	of	of	ADP
ajst-15581	126	18	tpr	tpr	NOUN
ajst-15581	126	19	and	and	CCONJ
ajst-15581	126	20	fpr	fpr	NOUN
ajst-15581	126	21	.	.	PUNCT
ajst-15581	127	1	therefore	therefore	ADV
ajst-15581	127	2	,	,	PUNCT
ajst-15581	127	3	when	when	SCONJ
ajst-15581	127	4	all	all	DET
ajst-15581	127	5	probability	probability	NOUN
ajst-15581	127	6	values	value	NOUN
ajst-15581	127	7	are	be	AUX
ajst-15581	127	8	used	use	VERB
ajst-15581	127	9	as	as	ADP
ajst-15581	127	10	thresholds	threshold	NOUN
ajst-15581	127	11	,	,	PUNCT
ajst-15581	127	12	multiple	multiple	ADJ
ajst-15581	127	13	sets	set	NOUN
ajst-15581	127	14	of	of	ADP
ajst-15581	127	15	tpr	tpr	NOUN
ajst-15581	127	16	and	and	CCONJ
ajst-15581	127	17	fpr	fpr	NOUN
ajst-15581	127	18	can	can	AUX
ajst-15581	127	19	be	be	AUX
ajst-15581	127	20	obtained	obtain	VERB
ajst-15581	127	21	,	,	PUNCT
ajst-15581	127	22	then	then	ADV
ajst-15581	127	23	𝑅𝑂𝐶	𝑅𝑂𝐶	PROPN
ajst-15581	127	24	curve	curve	NOUN
ajst-15581	127	25	drawn	draw	VERB
ajst-15581	127	26	,	,	PUNCT
ajst-15581	127	27	and	and	CCONJ
ajst-15581	127	28	𝐴𝑈𝐶	𝐴𝑈𝐶	NOUN
ajst-15581	127	29	calculated	calculate	VERB
ajst-15581	127	30	.	.	PUNCT
ajst-15581	128	1	4.3	4.3	NUM
ajst-15581	128	2	.	.	PUNCT
ajst-15581	128	3	modeling	modeling	NOUN
ajst-15581	128	4	and	and	CCONJ
ajst-15581	128	5	analysis	analysis	NOUN
ajst-15581	128	6	of	of	ADP
ajst-15581	128	7	test	test	NOUN
ajst-15581	128	8	effect	effect	NOUN
ajst-15581	128	9	the	the	DET
ajst-15581	128	10	paper	paper	NOUN
ajst-15581	128	11	applies	apply	VERB
ajst-15581	128	12	digital	digital	ADJ
ajst-15581	128	13	labels	label	NOUN
ajst-15581	128	14	to	to	PART
ajst-15581	128	15	calibrate	calibrate	VERB
ajst-15581	128	16	the	the	DET
ajst-15581	128	17	sub	sub	ADJ
ajst-15581	128	18	-	-	ADJ
ajst-15581	128	19	layer	layer	ADJ
ajst-15581	128	20	types	type	NOUN
ajst-15581	128	21	in	in	ADP
ajst-15581	128	22	the	the	DET
ajst-15581	128	23	study	study	NOUN
ajst-15581	128	24	area	area	NOUN
ajst-15581	128	25	(	(	PUNCT
ajst-15581	128	26	table	table	NOUN
ajst-15581	128	27	1	1	NUM
ajst-15581	128	28	)	)	PUNCT
ajst-15581	128	29	.	.	PUNCT
ajst-15581	129	1	table	table	NOUN
ajst-15581	129	2	1	1	NUM
ajst-15581	129	3	.	.	PUNCT
ajst-15581	130	1	sub	sub	ADJ
ajst-15581	130	2	-	-	ADJ
ajst-15581	130	3	layer	layer	ADJ
ajst-15581	130	4	calibration	calibration	NOUN
ajst-15581	130	5	table	table	NOUN
ajst-15581	130	6	sub	sub	ADJ
ajst-15581	130	7	-	-	ADJ
ajst-15581	130	8	layer	layer	ADJ
ajst-15581	130	9	representative	representative	NOUN
ajst-15581	130	10	no	no	INTJ
ajst-15581	130	11	.	.	PUNCT
ajst-15581	131	1	typeⅰ	typeⅰ	PROPN
ajst-15581	131	2	0	0	NUM
ajst-15581	131	3	type	type	NOUN
ajst-15581	131	4	ii	ii	NOUN
ajst-15581	131	5	1	1	NUM
ajst-15581	131	6	we	we	PRON
ajst-15581	131	7	used	use	VERB
ajst-15581	131	8	the	the	DET
ajst-15581	131	9	logging	log	VERB
ajst-15581	131	10	data	datum	NOUN
ajst-15581	131	11	of	of	ADP
ajst-15581	131	12	9	9	NUM
ajst-15581	131	13	wells	well	NOUN
ajst-15581	131	14	in	in	ADP
ajst-15581	131	15	this	this	DET
ajst-15581	131	16	area	area	NOUN
ajst-15581	131	17	as	as	ADP
ajst-15581	131	18	the	the	DET
ajst-15581	131	19	original	original	ADJ
ajst-15581	131	20	data	datum	NOUN
ajst-15581	131	21	.	.	PUNCT
ajst-15581	132	1	after	after	ADP
ajst-15581	132	2	data	data	NOUN
ajst-15581	132	3	processing	processing	NOUN
ajst-15581	132	4	,	,	PUNCT
ajst-15581	132	5	758	758	NUM
ajst-15581	132	6	data	datum	NOUN
ajst-15581	132	7	samples	sample	NOUN
ajst-15581	132	8	were	be	AUX
ajst-15581	132	9	obtained	obtain	VERB
ajst-15581	132	10	,	,	PUNCT
ajst-15581	132	11	including	include	VERB
ajst-15581	132	12	335	335	NUM
ajst-15581	132	13	samples	sample	NOUN
ajst-15581	132	14	of	of	ADP
ajst-15581	132	15	reservoir	reservoir	NOUN
ajst-15581	132	16	stratum	stratum	NOUN
ajst-15581	132	17	type	type	VERB
ajst-15581	132	18	i	i	PRON
ajst-15581	132	19	and	and	CCONJ
ajst-15581	132	20	423	423	NUM
ajst-15581	132	21	samples	sample	NOUN
ajst-15581	132	22	of	of	ADP
ajst-15581	132	23	reservoir	reservoir	NOUN
ajst-15581	132	24	stratum	stratum	PROPN
ajst-15581	132	25	type	type	PROPN
ajst-15581	132	26	ii	ii	PROPN
ajst-15581	132	27	.	.	PUNCT
ajst-15581	133	1	the	the	DET
ajst-15581	133	2	data	data	NOUN
ajst-15581	133	3	samples	sample	NOUN
ajst-15581	133	4	were	be	AUX
ajst-15581	133	5	divided	divide	VERB
ajst-15581	133	6	into	into	ADP
ajst-15581	133	7	training	training	NOUN
ajst-15581	133	8	sets	set	NOUN
ajst-15581	133	9	and	and	CCONJ
ajst-15581	133	10	test	test	NOUN
ajst-15581	133	11	sets	set	NOUN
ajst-15581	133	12	according	accord	VERB
ajst-15581	133	13	to	to	ADP
ajst-15581	133	14	the	the	DET
ajst-15581	133	15	ratio	ratio	NOUN
ajst-15581	133	16	of	of	ADP
ajst-15581	133	17	8:2	8:2	NUM
ajst-15581	133	18	.	.	PUNCT
ajst-15581	134	1	a	a	DET
ajst-15581	134	2	low	low	ADJ
ajst-15581	134	3	-	-	PUNCT
ajst-15581	134	4	level	level	NOUN
ajst-15581	134	5	prediction	prediction	NOUN
ajst-15581	134	6	model	model	NOUN
ajst-15581	134	7	based	base	VERB
ajst-15581	134	8	on	on	ADP
ajst-15581	134	9	lightgbm	lightgbm	NOUN
ajst-15581	134	10	was	be	AUX
ajst-15581	134	11	built	build	VERB
ajst-15581	134	12	by	by	ADP
ajst-15581	134	13	applying	apply	VERB
ajst-15581	134	14	the	the	DET
ajst-15581	134	15	operating	operating	NOUN
ajst-15581	134	16	platform	platform	NOUN
ajst-15581	134	17	spyder3	spyder3	NOUN
ajst-15581	135	1	(	(	PUNCT
ajst-15581	135	2	python	python	NOUN
ajst-15581	135	3	3.9.12	3.9.12	NUM
ajst-15581	135	4	)	)	PUNCT
ajst-15581	135	5	and	and	CCONJ
ajst-15581	135	6	introducing	introduce	VERB
ajst-15581	135	7	the	the	DET
ajst-15581	135	8	third	third	ADJ
ajst-15581	135	9	-	-	PUNCT
ajst-15581	135	10	party	party	NOUN
ajst-15581	135	11	library	library	NOUN
ajst-15581	135	12	lightgbm3.2.1	lightgbm3.2.1	PROPN
ajst-15581	135	13	.	.	PUNCT
ajst-15581	136	1	to	to	PART
ajst-15581	136	2	verify	verify	VERB
ajst-15581	136	3	the	the	DET
ajst-15581	136	4	prediction	prediction	NOUN
ajst-15581	136	5	effect	effect	NOUN
ajst-15581	136	6	of	of	ADP
ajst-15581	136	7	the	the	DET
ajst-15581	136	8	proposed	propose	VERB
ajst-15581	136	9	model	model	NOUN
ajst-15581	136	10	,	,	PUNCT
ajst-15581	136	11	the	the	DET
ajst-15581	136	12	third	third	ADJ
ajst-15581	136	13	-	-	PUNCT
ajst-15581	136	14	party	party	NOUN
ajst-15581	136	15	libraries	library	NOUN
ajst-15581	136	16	skit	skit	NOUN
ajst-15581	136	17	-	-	PUNCT
ajst-15581	136	18	learn1.0.2	learn1.0.2	NOUN
ajst-15581	136	19	and	and	CCONJ
ajst-15581	136	20	torch1.12.1	torch1.12.1	NOUN
ajst-15581	136	21	were	be	AUX
ajst-15581	136	22	used	use	VERB
ajst-15581	136	23	to	to	PART
ajst-15581	136	24	build	build	VERB
ajst-15581	136	25	a	a	DET
ajst-15581	136	26	small	small	ADJ
ajst-15581	136	27	-	-	PUNCT
ajst-15581	136	28	scale	scale	NOUN
ajst-15581	136	29	prediction	prediction	NOUN
ajst-15581	136	30	model	model	NOUN
ajst-15581	136	31	based	base	VERB
ajst-15581	136	32	on	on	ADP
ajst-15581	136	33	svm	svm	PROPN
ajst-15581	136	34	and	and	CCONJ
ajst-15581	136	35	dnn	dnn	PROPN
ajst-15581	136	36	respectively	respectively	ADV
ajst-15581	136	37	.	.	PUNCT
ajst-15581	137	1	the	the	DET
ajst-15581	137	2	setting	set	VERB
ajst-15581	137	3	information	information	NOUN
ajst-15581	137	4	of	of	ADP
ajst-15581	137	5	each	each	DET
ajst-15581	137	6	model	model	NOUN
ajst-15581	137	7	parameter	parameter	NOUN
ajst-15581	137	8	is	be	AUX
ajst-15581	137	9	shown	show	VERB
ajst-15581	137	10	in	in	ADP
ajst-15581	137	11	table	table	NOUN
ajst-15581	137	12	2	2	NUM
ajst-15581	137	13	.	.	PUNCT
ajst-15581	138	1	the	the	DET
ajst-15581	138	2	comprehensive	comprehensive	ADJ
ajst-15581	138	3	evaluation	evaluation	NOUN
ajst-15581	138	4	was	be	AUX
ajst-15581	138	5	conducted	conduct	VERB
ajst-15581	138	6	according	accord	VERB
ajst-15581	138	7	to	to	ADP
ajst-15581	138	8	the	the	DET
ajst-15581	138	9	above	above	ADJ
ajst-15581	138	10	prediction	prediction	NOUN
ajst-15581	138	11	results	result	NOUN
ajst-15581	138	12	from	from	ADP
ajst-15581	138	13	evaluation	evaluation	NOUN
ajst-15581	138	14	indicators	indicator	NOUN
ajst-15581	138	15	.	.	PUNCT
ajst-15581	139	1	table	table	NOUN
ajst-15581	139	2	2	2	NUM
ajst-15581	139	3	.	.	PUNCT
ajst-15581	139	4	model	model	NOUN
ajst-15581	139	5	parameter	parameter	NOUN
ajst-15581	139	6	setting	set	VERB
ajst-15581	139	7	information	information	NOUN
ajst-15581	139	8	table	table	NOUN
ajst-15581	139	9	test	test	NOUN
ajst-15581	139	10	model	model	NOUN
ajst-15581	139	11	svm	svm	PROPN
ajst-15581	139	12	lightgbm	lightgbm	VERB
ajst-15581	139	13	dnn	dnn	PROPN
ajst-15581	139	14	initialization	initialization	PROPN
ajst-15581	139	15	parameters	parameter	NOUN
ajst-15581	139	16	penalty	penalty	NOUN
ajst-15581	139	17	coefficient	coefficient	NOUN
ajst-15581	139	18	c=1.0	c=1.0	PROPN
ajst-15581	139	19	；	；	PROPN
ajst-15581	139	20	kernel	kernel	PROPN
ajst-15581	139	21	function	function	PROPN
ajst-15581	139	22	kernel	kernel	PROPN
ajst-15581	139	23	=	=	SYM
ajst-15581	139	24	rbf	rbf	PROPN
ajst-15581	139	25	；	；	PROPN
ajst-15581	139	26	kernel	kernel	PROPN
ajst-15581	139	27	function	function	PROPN
ajst-15581	139	28	parameters	parameter	NOUN
ajst-15581	139	29	gamma	gamma	PROPN
ajst-15581	139	30	=	=	SYM
ajst-15581	139	31	auto	auto	NOUN
ajst-15581	139	32	；	；	NOUN
ajst-15581	139	33	multi	multi	ADJ
ajst-15581	139	34	-	-	ADJ
ajst-15581	139	35	scheme	scheme	ADJ
ajst-15581	139	36	classification	classification	NOUN
ajst-15581	139	37	selection	selection	NOUN
ajst-15581	139	38	decision	decision	NOUN
ajst-15581	139	39	_	_	PUNCT
ajst-15581	139	40	function	function	NOUN
ajst-15581	139	41	_	_	PUNCT
ajst-15581	139	42	shape	shape	NOUN
ajst-15581	139	43	=	=	NOUN
ajst-15581	139	44	ovo	ovo	PROPN
ajst-15581	139	45	maximum	maximum	ADJ
ajst-15581	139	46	depth	depth	NOUN
ajst-15581	139	47	of	of	ADP
ajst-15581	139	48	decision	decision	NOUN
ajst-15581	139	49	tree	tree	NOUN
ajst-15581	139	50	max	max	PROPN
ajst-15581	139	51	_	_	PUNCT
ajst-15581	140	1	depth=-1	depth=-1	NOUN
ajst-15581	140	2	;	;	PUNCT
ajst-15581	140	3	number	number	NOUN
ajst-15581	140	4	of	of	ADP
ajst-15581	140	5	leaf	leaf	NOUN
ajst-15581	140	6	nodes	node	NOUN
ajst-15581	140	7	num	num	ADJ
ajst-15581	140	8	_	_	NOUN
ajst-15581	140	9	leaves=31	leaves=31	NOUN
ajst-15581	140	10	；	；	NOUN
ajst-15581	140	11	learning	learn	VERB
ajst-15581	140	12	rate	rate	NOUN
ajst-15581	140	13	learning	learning	NOUN
ajst-15581	140	14	-	-	PUNCT
ajst-15581	140	15	rate=0.05	rate=0.05	NOUN
ajst-15581	140	16	;	;	PUNCT
ajst-15581	140	17	learning	learn	VERB
ajst-15581	140	18	objectives	objective	NOUN
ajst-15581	140	19	objective	objective	ADJ
ajst-15581	140	20	=	=	SYM
ajst-15581	140	21	binary	binary	ADJ
ajst-15581	140	22	estimator	estimator	NOUN
ajst-15581	140	23	type	type	NOUN
ajst-15581	140	24	boosting	boost	VERB
ajst-15581	140	25	_	_	PRON
ajst-15581	140	26	type	type	NOUN
ajst-15581	140	27	=	=	NOUN
ajst-15581	140	28	gdbt	gdbt	NOUN
ajst-15581	140	29	number	number	NOUN
ajst-15581	140	30	of	of	ADP
ajst-15581	140	31	input	input	NOUN
ajst-15581	140	32	neurons	neuron	NOUN
ajst-15581	140	33	input=14	input=14	NOUN
ajst-15581	140	34	number	number	NOUN
ajst-15581	140	35	of	of	ADP
ajst-15581	140	36	hidden	hide	VERB
ajst-15581	140	37	layers	layer	NOUN
ajst-15581	140	38	hidden	hide	VERB
ajst-15581	140	39	layer=2	layer=2	PROPN
ajst-15581	140	40	number	number	NOUN
ajst-15581	140	41	of	of	ADP
ajst-15581	140	42	output	output	NOUN
ajst-15581	140	43	neurons	neuron	NOUN
ajst-15581	140	44	output=2	output=2	ADJ
ajst-15581	140	45	activation	activation	NOUN
ajst-15581	140	46	function	function	NOUN
ajst-15581	140	47	_	_	PUNCT
ajst-15581	140	48	functions	function	NOUN
ajst-15581	140	49	=	=	SYM
ajst-15581	140	50	tanh&softmax	tanh&softmax	NOUN
ajst-15581	140	51	loss	loss	NOUN
ajst-15581	140	52	function	function	NOUN
ajst-15581	140	53	loss	loss	NOUN
ajst-15581	140	54	function	function	NOUN
ajst-15581	140	55	=	=	SYM
ajst-15581	140	56	cross	cross	NOUN
ajst-15581	140	57	entropy	entropy	PROPN
ajst-15581	140	58	loss	loss	NOUN
ajst-15581	140	59	optimizer	optimizer	NOUN
ajst-15581	140	60	optimizer	optimizer	NOUN
ajst-15581	140	61	=	=	PRON
ajst-15581	140	62	adam	adam	NOUN
ajst-15581	140	63	the	the	DET
ajst-15581	140	64	test	test	NOUN
ajst-15581	140	65	sets	set	NOUN
ajst-15581	140	66	were	be	AUX
ajst-15581	140	67	input	input	VERB
ajst-15581	140	68	into	into	ADP
ajst-15581	140	69	the	the	DET
ajst-15581	140	70	three	three	NUM
ajst-15581	140	71	trained	train	VERB
ajst-15581	140	72	models	model	NOUN
ajst-15581	140	73	,	,	PUNCT
ajst-15581	140	74	and	and	CCONJ
ajst-15581	140	75	the	the	DET
ajst-15581	140	76	f1	f1	NOUN
ajst-15581	140	77	-	-	PUNCT
ajst-15581	140	78	score	score	NOUN
ajst-15581	140	79	result	result	NOUN
ajst-15581	140	80	of	of	ADP
ajst-15581	140	81	each	each	DET
ajst-15581	140	82	model	model	NOUN
ajst-15581	140	83	was	be	AUX
ajst-15581	140	84	calculated	calculate	VERB
ajst-15581	140	85	(	(	PUNCT
ajst-15581	140	86	figure	figure	NOUN
ajst-15581	140	87	5	5	NUM
ajst-15581	140	88	)	)	PUNCT
ajst-15581	140	89	.	.	PUNCT
ajst-15581	141	1	the	the	DET
ajst-15581	141	2	figure	figure	NOUN
ajst-15581	141	3	shows	show	VERB
ajst-15581	141	4	that	that	SCONJ
ajst-15581	141	5	the	the	DET
ajst-15581	141	6	prediction	prediction	NOUN
ajst-15581	141	7	effect	effect	NOUN
ajst-15581	141	8	of	of	ADP
ajst-15581	141	9	the	the	DET
ajst-15581	141	10	lightgbm	lightgbm	ADJ
ajst-15581	141	11	model	model	NOUN
ajst-15581	141	12	was	be	AUX
ajst-15581	141	13	better	well	ADJ
ajst-15581	141	14	than	than	ADP
ajst-15581	141	15	the	the	DET
ajst-15581	141	16	other	other	ADJ
ajst-15581	141	17	two	two	NUM
ajst-15581	141	18	models	model	NOUN
ajst-15581	141	19	.	.	PUNCT
ajst-15581	142	1	the	the	DET
ajst-15581	142	2	f1	f1	ADJ
ajst-15581	142	3	-	-	PUNCT
ajst-15581	142	4	score	score	NOUN
ajst-15581	142	5	results	result	NOUN
ajst-15581	142	6	for	for	ADP
ajst-15581	142	7	identifying	identify	VERB
ajst-15581	142	8	reservoir	reservoir	NOUN
ajst-15581	142	9	stratum	stratum	NOUN
ajst-15581	142	10	type	type	VERB
ajst-15581	142	11	i	i	PRON
ajst-15581	142	12	and	and	CCONJ
ajst-15581	142	13	reservoir	reservoir	PROPN
ajst-15581	142	14	stratum	stratum	PROPN
ajst-15581	142	15	type	type	PROPN
ajst-15581	142	16	ii	ii	PROPN
ajst-15581	142	17	were	be	AUX
ajst-15581	142	18	97.6	97.6	NUM
ajst-15581	142	19	%	%	NOUN
ajst-15581	142	20	and	and	CCONJ
ajst-15581	142	21	98.3	98.3	NUM
ajst-15581	142	22	%	%	NOUN
ajst-15581	142	23	;	;	PUNCT
ajst-15581	142	24	the	the	DET
ajst-15581	142	25	f1	f1	NOUN
ajst-15581	142	26	-	-	PUNCT
ajst-15581	142	27	score	score	NOUN
ajst-15581	142	28	of	of	ADP
ajst-15581	142	29	the	the	DET
ajst-15581	142	30	svm	svm	ADJ
ajst-15581	142	31	model	model	NOUN
ajst-15581	142	32	was	be	AUX
ajst-15581	142	33	the	the	DET
ajst-15581	142	34	lowest	low	ADJ
ajst-15581	142	35	,	,	PUNCT
ajst-15581	142	36	at	at	ADP
ajst-15581	142	37	74.5	74.5	NUM
ajst-15581	142	38	%	%	NOUN
ajst-15581	142	39	and	and	CCONJ
ajst-15581	142	40	85.6	85.6	NUM
ajst-15581	142	41	%	%	NOUN
ajst-15581	142	42	respectively	respectively	ADV
ajst-15581	142	43	;	;	PUNCT
ajst-15581	142	44	the	the	DET
ajst-15581	142	45	f1	f1	NOUN
ajst-15581	142	46	-	-	PUNCT
ajst-15581	142	47	score	score	NOUN
ajst-15581	142	48	score	score	NOUN
ajst-15581	142	49	of	of	ADP
ajst-15581	142	50	dnn	dnn	PROPN
ajst-15581	142	51	-	-	PUNCT
ajst-15581	142	52	based	base	VERB
ajst-15581	142	53	small	small	ADJ
ajst-15581	142	54	-	-	PUNCT
ajst-15581	142	55	level	level	NOUN
ajst-15581	142	56	prediction	prediction	NOUN
ajst-15581	142	57	model	model	NOUN
ajst-15581	142	58	was	be	AUX
ajst-15581	142	59	between	between	ADP
ajst-15581	142	60	the	the	DET
ajst-15581	142	61	two	two	NUM
ajst-15581	142	62	was	be	AUX
ajst-15581	142	63	85.9	85.9	NUM
ajst-15581	142	64	%	%	NOUN
ajst-15581	142	65	and	and	CCONJ
ajst-15581	142	66	89.8	89.8	NUM
ajst-15581	142	67	%	%	NOUN
ajst-15581	142	68	.	.	PUNCT
ajst-15581	143	1	lightgbm	lightgbm	PROPN
ajst-15581	143	2	svm	svm	PROPN
ajst-15581	143	3	dnn	dnn	PROPN
ajst-15581	143	4	figure	figure	NOUN
ajst-15581	143	5	5	5	NUM
ajst-15581	143	6	.	.	PUNCT
ajst-15581	144	1	statistical	statistical	ADJ
ajst-15581	144	2	chart	chart	NOUN
ajst-15581	144	3	of	of	ADP
ajst-15581	144	4	recognition	recognition	NOUN
ajst-15581	144	5	results	result	NOUN
ajst-15581	144	6	of	of	ADP
ajst-15581	144	7	different	different	ADJ
ajst-15581	144	8	models	model	NOUN
ajst-15581	144	9	on	on	ADP
ajst-15581	144	10	test	test	NOUN
ajst-15581	144	11	samples	sample	NOUN
ajst-15581	144	12	123	123	NUM
ajst-15581	144	13	furthermore	furthermore	ADV
ajst-15581	144	14	,	,	PUNCT
ajst-15581	144	15	the	the	DET
ajst-15581	144	16	paper	paper	NOUN
ajst-15581	144	17	used	use	VERB
ajst-15581	144	18	the	the	DET
ajst-15581	144	19	prediction	prediction	NOUN
ajst-15581	144	20	results	result	NOUN
ajst-15581	144	21	of	of	ADP
ajst-15581	144	22	each	each	DET
ajst-15581	144	23	model	model	NOUN
ajst-15581	144	24	on	on	ADP
ajst-15581	144	25	the	the	DET
ajst-15581	144	26	test	test	NOUN
ajst-15581	144	27	sample	sample	NOUN
ajst-15581	144	28	to	to	PART
ajst-15581	144	29	draw	draw	VERB
ajst-15581	144	30	the	the	DET
ajst-15581	144	31	roc	roc	PROPN
ajst-15581	144	32	curve	curve	NOUN
ajst-15581	144	33	,	,	PUNCT
ajst-15581	144	34	and	and	CCONJ
ajst-15581	144	35	the	the	DET
ajst-15581	144	36	results	result	NOUN
ajst-15581	144	37	are	be	AUX
ajst-15581	144	38	shown	show	VERB
ajst-15581	144	39	in	in	ADP
ajst-15581	144	40	figure	figure	NOUN
ajst-15581	144	41	6	6	NUM
ajst-15581	144	42	.	.	PUNCT
ajst-15581	145	1	the	the	DET
ajst-15581	145	2	auc	auc	NOUN
ajst-15581	145	3	value	value	NOUN
ajst-15581	145	4	of	of	ADP
ajst-15581	145	5	the	the	DET
ajst-15581	145	6	sub	sub	ADJ
ajst-15581	145	7	-	-	ADJ
ajst-15581	145	8	layer	layer	ADJ
ajst-15581	145	9	prediction	prediction	NOUN
ajst-15581	145	10	model	model	NOUN
ajst-15581	145	11	based	base	VERB
ajst-15581	145	12	on	on	ADP
ajst-15581	145	13	svm	svm	PROPN
ajst-15581	145	14	was	be	AUX
ajst-15581	145	15	the	the	DET
ajst-15581	145	16	lowest	low	ADJ
ajst-15581	145	17	at	at	ADP
ajst-15581	145	18	0.7918	0.7918	NUM
ajst-15581	145	19	.	.	PUNCT
ajst-15581	146	1	the	the	DET
ajst-15581	146	2	auc	auc	ADJ
ajst-15581	146	3	value	value	NOUN
ajst-15581	146	4	of	of	ADP
ajst-15581	146	5	the	the	DET
ajst-15581	146	6	lightgbm	lightgbm	ADJ
ajst-15581	146	7	model	model	NOUN
ajst-15581	146	8	and	and	CCONJ
ajst-15581	146	9	dnn	dnn	PROPN
ajst-15581	146	10	model	model	NOUN
ajst-15581	146	11	was	be	AUX
ajst-15581	146	12	greater	great	ADJ
ajst-15581	146	13	than	than	ADP
ajst-15581	146	14	0.9	0.9	NUM
ajst-15581	146	15	,	,	PUNCT
ajst-15581	146	16	and	and	CCONJ
ajst-15581	146	17	the	the	DET
ajst-15581	146	18	auc	auc	NOUN
ajst-15581	146	19	value	value	NOUN
ajst-15581	146	20	of	of	ADP
ajst-15581	146	21	the	the	DET
ajst-15581	146	22	lightgbm	lightgbm	ADJ
ajst-15581	146	23	model	model	NOUN
ajst-15581	146	24	was	be	AUX
ajst-15581	146	25	the	the	DET
ajst-15581	146	26	highest	high	ADJ
ajst-15581	146	27	at	at	ADP
ajst-15581	146	28	0.9808	0.9808	NUM
ajst-15581	146	29	,	,	PUNCT
ajst-15581	146	30	which	which	PRON
ajst-15581	146	31	had	have	VERB
ajst-15581	146	32	higher	high	ADJ
ajst-15581	146	33	robustness	robustness	NOUN
ajst-15581	146	34	.	.	PUNCT
ajst-15581	147	1	lightgbm	lightgbm	PROPN
ajst-15581	147	2	svm	svm	PROPN
ajst-15581	147	3	dnn	dnn	PROPN
ajst-15581	147	4	figure	figure	NOUN
ajst-15581	147	5	6	6	NUM
ajst-15581	147	6	.	.	PUNCT
ajst-15581	148	1	roc	roc	PROPN
ajst-15581	148	2	curves	curve	NOUN
ajst-15581	148	3	of	of	ADP
ajst-15581	148	4	different	different	ADJ
ajst-15581	148	5	models	model	NOUN
ajst-15581	148	6	in	in	ADP
ajst-15581	148	7	conclusion	conclusion	NOUN
ajst-15581	148	8	,	,	PUNCT
ajst-15581	148	9	by	by	ADP
ajst-15581	148	10	comparing	compare	VERB
ajst-15581	148	11	and	and	CCONJ
ajst-15581	148	12	analyzing	analyze	VERB
ajst-15581	148	13	the	the	DET
ajst-15581	148	14	𝐹1	𝐹1	PROPN
ajst-15581	148	15	𝑆𝑐𝑜𝑟𝑒𝑠	𝑆𝑐𝑜𝑟𝑒𝑠	PROPN
ajst-15581	148	16	and	and	CCONJ
ajst-15581	148	17	𝐴𝑈𝐶	𝐴𝑈𝐶	NOUN
ajst-15581	148	18	values	value	NOUN
ajst-15581	148	19	of	of	ADP
ajst-15581	148	20	different	different	ADJ
ajst-15581	148	21	models	model	NOUN
ajst-15581	148	22	,	,	PUNCT
ajst-15581	148	23	as	as	ADV
ajst-15581	148	24	well	well	ADV
ajst-15581	148	25	as	as	ADP
ajst-15581	148	26	the	the	DET
ajst-15581	148	27	recognition	recognition	NOUN
ajst-15581	148	28	of	of	ADP
ajst-15581	148	29	two	two	NUM
ajst-15581	148	30	different	different	ADJ
ajst-15581	148	31	layers	layer	NOUN
ajst-15581	148	32	of	of	ADP
ajst-15581	148	33	class	class	NOUN
ajst-15581	148	34	i	i	PROPN
ajst-15581	148	35	and	and	CCONJ
ajst-15581	148	36	class	class	PROPN
ajst-15581	148	37	ii	ii	PROPN
ajst-15581	148	38	,	,	PUNCT
ajst-15581	148	39	the	the	DET
ajst-15581	148	40	lightgbm	lightgbm	NOUN
ajst-15581	148	41	-	-	PUNCT
ajst-15581	148	42	based	base	VERB
ajst-15581	148	43	recognition	recognition	NOUN
ajst-15581	148	44	model	model	NOUN
ajst-15581	148	45	performed	perform	VERB
ajst-15581	148	46	best	well	ADV
ajst-15581	148	47	.	.	PUNCT
ajst-15581	149	1	the	the	DET
ajst-15581	149	2	dnn	dnn	PROPN
ajst-15581	149	3	-	-	PUNCT
ajst-15581	149	4	based	base	VERB
ajst-15581	149	5	recognition	recognition	NOUN
ajst-15581	149	6	model	model	NOUN
ajst-15581	149	7	performance	performance	NOUN
ajst-15581	149	8	was	be	AUX
ajst-15581	149	9	second	second	ADJ
ajst-15581	149	10	,	,	PUNCT
ajst-15581	149	11	while	while	SCONJ
ajst-15581	149	12	the	the	DET
ajst-15581	149	13	svm	svm	ADJ
ajst-15581	149	14	-	-	PUNCT
ajst-15581	149	15	based	base	VERB
ajst-15581	149	16	recognition	recognition	NOUN
ajst-15581	149	17	model	model	NOUN
ajst-15581	149	18	performance	performance	NOUN
ajst-15581	149	19	was	be	AUX
ajst-15581	149	20	the	the	DET
ajst-15581	149	21	least	least	ADJ
ajst-15581	149	22	.	.	PUNCT
ajst-15581	150	1	the	the	DET
ajst-15581	150	2	above	above	ADJ
ajst-15581	150	3	results	result	NOUN
ajst-15581	150	4	showed	show	VERB
ajst-15581	150	5	that	that	SCONJ
ajst-15581	150	6	the	the	DET
ajst-15581	150	7	distributed	distribute	VERB
ajst-15581	150	8	gradient	gradient	NOUN
ajst-15581	150	9	lifting	lifting	NOUN
ajst-15581	150	10	framework	framework	NOUN
ajst-15581	150	11	based	base	VERB
ajst-15581	150	12	on	on	ADP
ajst-15581	150	13	a	a	DET
ajst-15581	150	14	decision	decision	NOUN
ajst-15581	150	15	tree	tree	NOUN
ajst-15581	150	16	algorithm	algorithm	NOUN
ajst-15581	150	17	was	be	AUX
ajst-15581	150	18	superior	superior	ADJ
ajst-15581	150	19	to	to	ADP
ajst-15581	150	20	some	some	DET
ajst-15581	150	21	classical	classical	ADJ
ajst-15581	150	22	machine	machine	NOUN
ajst-15581	150	23	learning	learn	VERB
ajst-15581	150	24	algorithms	algorithm	NOUN
ajst-15581	150	25	in	in	ADP
ajst-15581	150	26	different	different	ADJ
ajst-15581	150	27	sub	sub	ADJ
ajst-15581	150	28	-	-	ADJ
ajst-15581	150	29	layer	layer	ADJ
ajst-15581	150	30	recognition	recognition	NOUN
ajst-15581	150	31	,	,	PUNCT
ajst-15581	150	32	with	with	ADP
ajst-15581	150	33	higher	high	ADJ
ajst-15581	150	34	progressiveness	progressiveness	NOUN
ajst-15581	150	35	and	and	CCONJ
ajst-15581	150	36	superiority	superiority	NOUN
ajst-15581	150	37	.	.	PUNCT
ajst-15581	151	1	4.4	4.4	NUM
ajst-15581	151	2	.	.	PUNCT
ajst-15581	152	1	optimization	optimization	NOUN
ajst-15581	152	2	of	of	ADP
ajst-15581	152	3	input	input	NOUN
ajst-15581	152	4	parameter	parameter	NOUN
ajst-15581	152	5	to	to	PART
ajst-15581	152	6	further	far	ADV
ajst-15581	152	7	study	study	VERB
ajst-15581	152	8	the	the	DET
ajst-15581	152	9	effect	effect	NOUN
ajst-15581	152	10	of	of	ADP
ajst-15581	152	11	some	some	DET
ajst-15581	152	12	elements	element	NOUN
ajst-15581	152	13	with	with	ADP
ajst-15581	152	14	lower	low	ADJ
ajst-15581	152	15	content	content	NOUN
ajst-15581	152	16	on	on	ADP
ajst-15581	152	17	the	the	DET
ajst-15581	152	18	stratum	stratum	NOUN
ajst-15581	152	19	in	in	ADP
ajst-15581	152	20	the	the	DET
ajst-15581	152	21	process	process	NOUN
ajst-15581	152	22	of	of	ADP
ajst-15581	152	23	logging	log	VERB
ajst-15581	152	24	while	while	SCONJ
ajst-15581	152	25	drilling	drilling	NOUN
ajst-15581	152	26	,	,	PUNCT
ajst-15581	152	27	the	the	DET
ajst-15581	152	28	characteristics	characteristic	NOUN
ajst-15581	152	29	of	of	ADP
ajst-15581	152	30	p	p	X
ajst-15581	152	31	,	,	PUNCT
ajst-15581	152	32	cl	cl	NOUN
ajst-15581	152	33	,	,	PUNCT
ajst-15581	152	34	ba	ba	PROPN
ajst-15581	152	35	,	,	PUNCT
ajst-15581	152	36	v	v	PROPN
ajst-15581	152	37	,	,	PUNCT
ajst-15581	152	38	ni	ni	PROPN
ajst-15581	152	39	,	,	PUNCT
ajst-15581	152	40	sr	sr	PROPN
ajst-15581	152	41	,	,	PUNCT
ajst-15581	152	42	and	and	CCONJ
ajst-15581	152	43	zr	zr	PROPN
ajst-15581	152	44	were	be	AUX
ajst-15581	152	45	added	add	VERB
ajst-15581	152	46	based	base	VERB
ajst-15581	152	47	on	on	ADP
ajst-15581	152	48	the	the	DET
ajst-15581	152	49	original	original	ADJ
ajst-15581	152	50	element	element	NOUN
ajst-15581	152	51	characteristics	characteristic	NOUN
ajst-15581	152	52	.	.	PUNCT
ajst-15581	153	1	influenced	influence	VERB
ajst-15581	153	2	by	by	ADP
ajst-15581	153	3	the	the	DET
ajst-15581	153	4	high	high	ADJ
ajst-15581	153	5	dimension	dimension	NOUN
ajst-15581	153	6	of	of	ADP
ajst-15581	153	7	parameters	parameter	NOUN
ajst-15581	153	8	,	,	PUNCT
ajst-15581	153	9	we	we	PRON
ajst-15581	153	10	used	use	VERB
ajst-15581	153	11	the	the	DET
ajst-15581	153	12	pca(principal	pca(principal	ADJ
ajst-15581	153	13	component	component	NOUN
ajst-15581	153	14	analysis)[29	analysis)[29	NOUN
ajst-15581	153	15	]	]	PUNCT
ajst-15581	153	16	method	method	NOUN
ajst-15581	153	17	to	to	PART
ajst-15581	153	18	extract	extract	VERB
ajst-15581	153	19	the	the	DET
ajst-15581	153	20	element	element	NOUN
ajst-15581	153	21	features	feature	VERB
ajst-15581	153	22	to	to	PART
ajst-15581	153	23	reduce	reduce	VERB
ajst-15581	153	24	the	the	DET
ajst-15581	153	25	dimension	dimension	NOUN
ajst-15581	153	26	of	of	ADP
ajst-15581	153	27	input	input	NOUN
ajst-15581	153	28	features	feature	NOUN
ajst-15581	153	29	and	and	CCONJ
ajst-15581	153	30	improve	improve	VERB
ajst-15581	153	31	the	the	DET
ajst-15581	153	32	operation	operation	NOUN
ajst-15581	153	33	speed	speed	NOUN
ajst-15581	153	34	of	of	ADP
ajst-15581	153	35	the	the	DET
ajst-15581	153	36	model	model	NOUN
ajst-15581	153	37	.	.	PUNCT
ajst-15581	154	1	the	the	DET
ajst-15581	154	2	central	central	ADJ
ajst-15581	154	3	idea	idea	NOUN
ajst-15581	154	4	of	of	ADP
ajst-15581	154	5	the	the	DET
ajst-15581	154	6	principal	principal	ADJ
ajst-15581	154	7	component	component	NOUN
ajst-15581	154	8	analysis	analysis	NOUN
ajst-15581	154	9	method	method	NOUN
ajst-15581	154	10	was	be	AUX
ajst-15581	154	11	to	to	PART
ajst-15581	154	12	calculate	calculate	VERB
ajst-15581	154	13	a	a	DET
ajst-15581	154	14	group	group	NOUN
ajst-15581	154	15	of	of	ADP
ajst-15581	154	16	new	new	ADJ
ajst-15581	154	17	features	feature	NOUN
ajst-15581	154	18	in	in	ADP
ajst-15581	154	19	order	order	NOUN
ajst-15581	154	20	of	of	ADP
ajst-15581	154	21	importance	importance	NOUN
ajst-15581	154	22	from	from	ADP
ajst-15581	154	23	multiple	multiple	ADJ
ajst-15581	154	24	unordered	unordered	ADJ
ajst-15581	154	25	original	original	ADJ
ajst-15581	154	26	features	feature	NOUN
ajst-15581	154	27	.	.	PUNCT
ajst-15581	155	1	they	they	PRON
ajst-15581	155	2	were	be	AUX
ajst-15581	155	3	linear	linear	ADJ
ajst-15581	155	4	combinations	combination	NOUN
ajst-15581	155	5	of	of	ADP
ajst-15581	155	6	the	the	DET
ajst-15581	155	7	original	original	ADJ
ajst-15581	155	8	features	feature	NOUN
ajst-15581	155	9	and	and	CCONJ
ajst-15581	155	10	were	be	AUX
ajst-15581	155	11	not	not	PART
ajst-15581	155	12	related	relate	VERB
ajst-15581	155	13	to	to	ADP
ajst-15581	155	14	each	each	DET
ajst-15581	155	15	other	other	ADJ
ajst-15581	155	16	.	.	PUNCT
ajst-15581	156	1	which	which	PRON
ajst-15581	156	2	was	be	AUX
ajst-15581	156	3	beneficial	beneficial	ADJ
ajst-15581	156	4	to	to	PART
ajst-15581	156	5	calculate	calculate	VERB
ajst-15581	156	6	several	several	ADJ
ajst-15581	156	7	comprehensive	comprehensive	ADJ
ajst-15581	156	8	variables	variable	NOUN
ajst-15581	156	9	that	that	PRON
ajst-15581	156	10	reflected	reflect	VERB
ajst-15581	156	11	more	more	ADJ
ajst-15581	156	12	information	information	NOUN
ajst-15581	156	13	in	in	ADP
ajst-15581	156	14	the	the	DET
ajst-15581	156	15	original	original	ADJ
ajst-15581	156	16	data	datum	NOUN
ajst-15581	156	17	and	and	CCONJ
ajst-15581	156	18	were	be	AUX
ajst-15581	156	19	independent	independent	ADJ
ajst-15581	156	20	of	of	ADP
ajst-15581	156	21	each	each	DET
ajst-15581	156	22	other	other	ADJ
ajst-15581	156	23	to	to	PART
ajst-15581	156	24	achieve	achieve	VERB
ajst-15581	156	25	the	the	DET
ajst-15581	156	26	purpose	purpose	NOUN
ajst-15581	156	27	of	of	ADP
ajst-15581	156	28	feature	feature	NOUN
ajst-15581	156	29	dimensionality	dimensionality	NOUN
ajst-15581	156	30	reduction	reduction	NOUN
ajst-15581	156	31	.	.	PUNCT
ajst-15581	157	1	[	[	X
ajst-15581	157	2	30	30	NUM
ajst-15581	157	3	]	]	X
ajst-15581	157	4	first	first	ADV
ajst-15581	157	5	,	,	PUNCT
ajst-15581	157	6	we	we	PRON
ajst-15581	157	7	carried	carry	VERB
ajst-15581	157	8	out	out	ADP
ajst-15581	157	9	the	the	DET
ajst-15581	157	10	kmo(kaiser	kmo(kaiser	NOUN
ajst-15581	157	11	-	-	PUNCT
ajst-15581	157	12	meyer	meyer	NOUN
ajst-15581	157	13	-	-	PUNCT
ajst-15581	157	14	olkin	olkin	NOUN
ajst-15581	157	15	)	)	PUNCT
ajst-15581	157	16	test	test	NOUN
ajst-15581	157	17	and	and	CCONJ
ajst-15581	157	18	bartlett	bartlett	PROPN
ajst-15581	157	19	spherical	spherical	ADJ
ajst-15581	157	20	test[31	test[31	NOUN
ajst-15581	157	21	]	]	PUNCT
ajst-15581	157	22	on	on	ADP
ajst-15581	157	23	17	17	NUM
ajst-15581	157	24	different	different	ADJ
ajst-15581	157	25	element	element	NOUN
ajst-15581	157	26	characteristics	characteristic	NOUN
ajst-15581	157	27	that	that	PRON
ajst-15581	157	28	affected	affect	VERB
ajst-15581	157	29	the	the	DET
ajst-15581	157	30	sub	sub	NOUN
ajst-15581	157	31	-	-	NOUN
ajst-15581	157	32	layer	layer	NOUN
ajst-15581	157	33	to	to	PART
ajst-15581	157	34	determine	determine	VERB
ajst-15581	157	35	whether	whether	SCONJ
ajst-15581	157	36	the	the	DET
ajst-15581	157	37	data	datum	NOUN
ajst-15581	157	38	was	be	AUX
ajst-15581	157	39	suitable	suitable	ADJ
ajst-15581	157	40	for	for	ADP
ajst-15581	157	41	principal	principal	ADJ
ajst-15581	157	42	component	component	NOUN
ajst-15581	157	43	analysis	analysis	NOUN
ajst-15581	157	44	.	.	PUNCT
ajst-15581	158	1	the	the	DET
ajst-15581	158	2	inspection	inspection	NOUN
ajst-15581	158	3	results	result	NOUN
ajst-15581	158	4	are	be	AUX
ajst-15581	158	5	shown	show	VERB
ajst-15581	158	6	in	in	ADP
ajst-15581	158	7	table	table	NOUN
ajst-15581	158	8	3	3	NUM
ajst-15581	158	9	:	:	PUNCT
ajst-15581	158	10	table	table	NOUN
ajst-15581	158	11	2	2	NUM
ajst-15581	158	12	.	.	X
ajst-15581	158	13	kmo	kmo	PROPN
ajst-15581	158	14	and	and	CCONJ
ajst-15581	158	15	bartlett	bartlett	PROPN
ajst-15581	158	16	test	test	NOUN
ajst-15581	158	17	kmo	kmo	PROPN
ajst-15581	158	18	sampling	sample	VERB
ajst-15581	158	19	suitability	suitability	NOUN
ajst-15581	158	20	quantity	quantity	NOUN
ajst-15581	158	21	.667	.667	NUM
ajst-15581	158	22	bartlett	bartlett	PROPN
ajst-15581	158	23	sphericity	sphericity	PROPN
ajst-15581	158	24	test	test	PROPN
ajst-15581	158	25	approximate	approximate	ADJ
ajst-15581	158	26	chi	chi	ADJ
ajst-15581	158	27	-	-	PUNCT
ajst-15581	158	28	square	square	ADJ
ajst-15581	158	29	7527.340	7527.340	NUM
ajst-15581	158	30	freedom	freedom	NOUN
ajst-15581	158	31	136	136	NUM
ajst-15581	158	32	significance	significance	NOUN
ajst-15581	158	33	.000	.000	NUM
ajst-15581	158	34	a.	a.	NOUN
ajst-15581	158	35	correlation	correlation	NOUN
ajst-15581	158	36	-	-	PUNCT
ajst-15581	158	37	based	base	VERB
ajst-15581	158	38	we	we	PRON
ajst-15581	158	39	observed	observe	VERB
ajst-15581	158	40	that	that	SCONJ
ajst-15581	158	41	the	the	DET
ajst-15581	158	42	kmo	kmo	PROPN
ajst-15581	158	43	value	value	NOUN
ajst-15581	158	44	was	be	AUX
ajst-15581	158	45	0.667	0.667	NUM
ajst-15581	158	46	,	,	PUNCT
ajst-15581	158	47	greater	great	ADJ
ajst-15581	158	48	than	than	ADP
ajst-15581	158	49	0.5	0.5	NUM
ajst-15581	158	50	.	.	PUNCT
ajst-15581	159	1	meanwhile	meanwhile	ADV
ajst-15581	159	2	,	,	PUNCT
ajst-15581	159	3	bartlett	bartlett	PROPN
ajst-15581	159	4	’s	’s	PART
ajst-15581	159	5	significance	significance	NOUN
ajst-15581	159	6	level	level	NOUN
ajst-15581	159	7	was	be	AUX
ajst-15581	159	8	0	0	NUM
ajst-15581	159	9	,	,	PUNCT
ajst-15581	159	10	less	less	ADJ
ajst-15581	159	11	than	than	ADP
ajst-15581	159	12	0.05	0.05	NUM
ajst-15581	159	13	,	,	PUNCT
ajst-15581	159	14	indicating	indicate	VERB
ajst-15581	159	15	that	that	SCONJ
ajst-15581	159	16	there	there	PRON
ajst-15581	159	17	was	be	VERB
ajst-15581	159	18	a	a	DET
ajst-15581	159	19	collinearity	collinearity	NOUN
ajst-15581	159	20	problem	problem	NOUN
ajst-15581	159	21	between	between	ADP
ajst-15581	159	22	variables	variable	NOUN
ajst-15581	159	23	,	,	PUNCT
ajst-15581	159	24	and	and	CCONJ
ajst-15581	159	25	principal	principal	ADJ
ajst-15581	159	26	component	component	NOUN
ajst-15581	159	27	analysis	analysis	NOUN
ajst-15581	159	28	could	could	AUX
ajst-15581	159	29	be	be	AUX
ajst-15581	159	30	performed	perform	VERB
ajst-15581	159	31	.	.	PUNCT
ajst-15581	160	1	based	base	VERB
ajst-15581	160	2	on	on	ADP
ajst-15581	160	3	the	the	DET
ajst-15581	160	4	principle	principle	NOUN
ajst-15581	160	5	that	that	SCONJ
ajst-15581	160	6	the	the	DET
ajst-15581	160	7	eigenvalue	eigenvalue	NOUN
ajst-15581	160	8	was	be	AUX
ajst-15581	160	9	greater	great	ADJ
ajst-15581	160	10	than	than	ADP
ajst-15581	160	11	1	1	NUM
ajst-15581	160	12	,	,	PUNCT
ajst-15581	160	13	we	we	PRON
ajst-15581	160	14	extracted	extract	VERB
ajst-15581	160	15	four	four	NUM
ajst-15581	160	16	principal	principal	ADJ
ajst-15581	160	17	components	component	NOUN
ajst-15581	160	18	𝐹	𝐹	PROPN
ajst-15581	160	19	,	,	PUNCT
ajst-15581	160	20	𝐹	𝐹	PROPN
ajst-15581	160	21	,	,	PUNCT
ajst-15581	160	22	𝐹	𝐹	PROPN
ajst-15581	160	23	,	,	PUNCT
ajst-15581	160	24	𝐹	𝐹	PROPN
ajst-15581	160	25	.	.	PUNCT
ajst-15581	161	1	according	accord	VERB
ajst-15581	161	2	to	to	ADP
ajst-15581	161	3	the	the	DET
ajst-15581	161	4	principal	principal	ADJ
ajst-15581	161	5	component	component	NOUN
ajst-15581	161	6	extraction	extraction	NOUN
ajst-15581	161	7	table	table	NOUN
ajst-15581	161	8	(	(	PUNCT
ajst-15581	161	9	table	table	NOUN
ajst-15581	161	10	4	4	NUM
ajst-15581	161	11	)	)	PUNCT
ajst-15581	161	12	,	,	PUNCT
ajst-15581	161	13	the	the	DET
ajst-15581	161	14	characteristic	characteristic	ADJ
ajst-15581	161	15	values	value	NOUN
ajst-15581	161	16	of	of	ADP
ajst-15581	161	17	𝐹	𝐹	PROPN
ajst-15581	161	18	,	,	PUNCT
ajst-15581	161	19	𝐹	𝐹	PROPN
ajst-15581	161	20	,	,	PUNCT
ajst-15581	161	21	𝐹	𝐹	PROPN
ajst-15581	161	22	,	,	PUNCT
ajst-15581	161	23	𝐹	𝐹	PROPN
ajst-15581	161	24	were	be	AUX
ajst-15581	161	25	20.922	20.922	NUM
ajst-15581	161	26	,	,	PUNCT
ajst-15581	161	27	2.894	2.894	NUM
ajst-15581	161	28	,	,	PUNCT
ajst-15581	161	29	2.692	2.692	NUM
ajst-15581	161	30	,	,	PUNCT
ajst-15581	161	31	and	and	CCONJ
ajst-15581	161	32	1.964	1.964	NUM
ajst-15581	161	33	124	124	NUM
ajst-15581	161	34	respectively	respectively	ADV
ajst-15581	161	35	.	.	PUNCT
ajst-15581	162	1	their	their	PRON
ajst-15581	162	2	cumulative	cumulative	ADJ
ajst-15581	162	3	contribution	contribution	NOUN
ajst-15581	162	4	rates	rate	NOUN
ajst-15581	162	5	were	be	AUX
ajst-15581	162	6	68.609	68.609	NUM
ajst-15581	162	7	%	%	NOUN
ajst-15581	162	8	,	,	PUNCT
ajst-15581	162	9	78.099	78.099	NUM
ajst-15581	162	10	%	%	NOUN
ajst-15581	162	11	,	,	PUNCT
ajst-15581	162	12	86.972	86.972	NUM
ajst-15581	162	13	%	%	NOUN
ajst-15581	162	14	,	,	PUNCT
ajst-15581	162	15	and	and	CCONJ
ajst-15581	162	16	93.368	93.368	NUM
ajst-15581	162	17	%	%	NOUN
ajst-15581	162	18	respectively	respectively	ADV
ajst-15581	162	19	,	,	PUNCT
ajst-15581	162	20	with	with	ADP
ajst-15581	162	21	less	less	ADJ
ajst-15581	162	22	information	information	NOUN
ajst-15581	162	23	loss	loss	NOUN
ajst-15581	162	24	.	.	PUNCT
ajst-15581	163	1	the	the	DET
ajst-15581	163	2	loading	loading	NOUN
ajst-15581	163	3	matrix	matrix	NOUN
ajst-15581	163	4	and	and	CCONJ
ajst-15581	163	5	eigenvector	eigenvector	NOUN
ajst-15581	163	6	of	of	ADP
ajst-15581	163	7	the	the	DET
ajst-15581	163	8	element	element	NOUN
ajst-15581	163	9	feature	feature	NOUN
ajst-15581	163	10	are	be	AUX
ajst-15581	163	11	shown	show	VERB
ajst-15581	163	12	in	in	ADP
ajst-15581	163	13	table	table	NOUN
ajst-15581	163	14	(	(	PUNCT
ajst-15581	163	15	5	5	NUM
ajst-15581	163	16	)	)	PUNCT
ajst-15581	163	17	,	,	PUNCT
ajst-15581	163	18	of	of	ADP
ajst-15581	163	19	which	which	PRON
ajst-15581	163	20	the	the	DET
ajst-15581	163	21	eigenvector	eigenvector	NOUN
ajst-15581	163	22	had	have	VERB
ajst-15581	163	23	the	the	DET
ajst-15581	163	24	following	following	ADJ
ajst-15581	163	25	mathematical	mathematical	ADJ
ajst-15581	163	26	relationship	relationship	NOUN
ajst-15581	163	27	with	with	ADP
ajst-15581	163	28	the	the	DET
ajst-15581	163	29	principal	principal	ADJ
ajst-15581	163	30	component	component	NOUN
ajst-15581	163	31	load	load	NOUN
ajst-15581	163	32	matrix	matrix	NOUN
ajst-15581	163	33	and	and	CCONJ
ajst-15581	163	34	eigenvalues	eigenvalue	NOUN
ajst-15581	163	35	:	:	PUNCT
ajst-15581	163	36	principal	principal	ADJ
ajst-15581	163	37	component	component	NOUN
ajst-15581	163	38	eigenvector	eigenvector	NOUN
ajst-15581	163	39	coefficient	coefficient	NOUN
ajst-15581	163	40	(	(	PUNCT
ajst-15581	163	41	6	6	NUM
ajst-15581	163	42	)	)	PUNCT
ajst-15581	163	43	table	table	NOUN
ajst-15581	163	44	4	4	NUM
ajst-15581	163	45	.	.	PUNCT
ajst-15581	163	46	principal	principal	ADJ
ajst-15581	163	47	component	component	NOUN
ajst-15581	163	48	extraction	extraction	NOUN
ajst-15581	163	49	table	table	NOUN
ajst-15581	163	50	(	(	PUNCT
ajst-15581	163	51	partial	partial	ADJ
ajst-15581	163	52	)	)	PUNCT
ajst-15581	163	53	component	component	NOUN
ajst-15581	163	54	initial	initial	ADJ
ajst-15581	163	55	eigenvalue	eigenvalue	NOUN
ajst-15581	163	56	extracting	extract	VERB
ajst-15581	163	57	the	the	DET
ajst-15581	163	58	sum	sum	NOUN
ajst-15581	163	59	of	of	ADP
ajst-15581	163	60	the	the	DET
ajst-15581	163	61	squares	square	NOUN
ajst-15581	163	62	of	of	ADP
ajst-15581	163	63	the	the	DET
ajst-15581	163	64	load	load	NOUN
ajst-15581	163	65	total	total	ADJ
ajst-15581	163	66	percent	percent	NOUN
ajst-15581	163	67	variance	variance	NOUN
ajst-15581	163	68	cumulative%	cumulative%	PUNCT
ajst-15581	163	69	total	total	ADJ
ajst-15581	163	70	percent	percent	NOUN
ajst-15581	163	71	variance	variance	NOUN
ajst-15581	163	72	cumulative%	cumulative%	PUNCT
ajst-15581	163	73	1	1	NUM
ajst-15581	163	74	20.922	20.922	NUM
ajst-15581	163	75	68.609	68.609	NUM
ajst-15581	163	76	68.609	68.609	NUM
ajst-15581	163	77	20.922	20.922	NUM
ajst-15581	163	78	68.609	68.609	NUM
ajst-15581	163	79	68.609	68.609	NUM
ajst-15581	163	80	2	2	NUM
ajst-15581	163	81	2.894	2.894	NUM
ajst-15581	163	82	9.490	9.490	NUM
ajst-15581	163	83	78.099	78.099	NUM
ajst-15581	163	84	2.894	2.894	NUM
ajst-15581	163	85	9.490	9.490	NUM
ajst-15581	163	86	78.099	78.099	NUM
ajst-15581	163	87	3	3	NUM
ajst-15581	163	88	2.692	2.692	NUM
ajst-15581	163	89	8.828	8.828	NUM
ajst-15581	163	90	86.927	86.927	NUM
ajst-15581	163	91	2.692	2.692	NUM
ajst-15581	163	92	8.828	8.828	NUM
ajst-15581	163	93	86.927	86.927	NUM
ajst-15581	163	94	4	4	NUM
ajst-15581	163	95	1.964	1.964	NUM
ajst-15581	163	96	6.441	6.441	NUM
ajst-15581	163	97	93.368	93.368	NUM
ajst-15581	163	98	1.964	1.964	NUM
ajst-15581	163	99	6.441	6.441	NUM
ajst-15581	163	100	93.368	93.368	NUM
ajst-15581	163	101	table	table	NOUN
ajst-15581	163	102	5	5	NUM
ajst-15581	163	103	.	.	PUNCT
ajst-15581	164	1	characteristics	characteristic	NOUN
ajst-15581	164	2	of	of	ADP
ajst-15581	164	3	the	the	DET
ajst-15581	164	4	load	load	NOUN
ajst-15581	164	5	matrix	matrix	NOUN
ajst-15581	164	6	and	and	CCONJ
ajst-15581	164	7	eigenvector	eigenvector	NOUN
ajst-15581	164	8	of	of	ADP
ajst-15581	164	9	element	element	NOUN
ajst-15581	164	10	element	element	NOUN
ajst-15581	164	11	rescaling	rescale	VERB
ajst-15581	164	12	composition	composition	NOUN
ajst-15581	164	13	feature	feature	NOUN
ajst-15581	164	14	vector	vector	NOUN
ajst-15581	164	15	1	1	NUM
ajst-15581	164	16	2	2	NUM
ajst-15581	164	17	3	3	NUM
ajst-15581	164	18	4	4	NUM
ajst-15581	164	19	1	1	NUM
ajst-15581	164	20	2	2	NUM
ajst-15581	164	21	3	3	NUM
ajst-15581	164	22	4	4	NUM
ajst-15581	164	23	si	si	NOUN
ajst-15581	164	24	-.975	-.975	PROPN
ajst-15581	164	25	.009	.009	NUM
ajst-15581	164	26	.220	.220	NUM
ajst-15581	164	27	.000	.000	NUM
ajst-15581	165	1	-.213	-.213	PROPN
ajst-15581	165	2	.005	.005	NUM
ajst-15581	165	3	.134	.134	NUM
ajst-15581	165	4	.000	.000	NUM
ajst-15581	165	5	al	al	PROPN
ajst-15581	165	6	-.847	-.847	PROPN
ajst-15581	165	7	.221	.221	NUM
ajst-15581	165	8	-.450	-.450	PROPN
ajst-15581	165	9	.161	.161	NUM
ajst-15581	165	10	-.185	-.185	PROPN
ajst-15581	165	11	.130	.130	NUM
ajst-15581	165	12	-.274	-.274	PROPN
ajst-15581	165	13	.115	.115	NUM
ajst-15581	165	14	sr	sr	PROPN
ajst-15581	165	15	.367	.367	NUM
ajst-15581	165	16	-.271	-.271	PROPN
ajst-15581	165	17	.360	.360	NUM
ajst-15581	165	18	.124	.124	NUM
ajst-15581	165	19	.080	.080	NUM
ajst-15581	165	20	-.159	-.159	PROPN
ajst-15581	165	21	.219	.219	NUM
ajst-15581	165	22	.088	.088	NUM
ajst-15581	165	23	cl	cl	NOUN
ajst-15581	165	24	.328	.328	NUM
ajst-15581	165	25	.185	.185	NUM
ajst-15581	165	26	.046	.046	NUM
ajst-15581	165	27	-.137	-.137	PROPN
ajst-15581	165	28	.072	.072	NUM
ajst-15581	165	29	.109	.109	NUM
ajst-15581	165	30	.028	.028	NUM
ajst-15581	165	31	-.098	-.098	PROPN
ajst-15581	165	32	mn	mn	PROPN
ajst-15581	165	33	.144	.144	NUM
ajst-15581	165	34	.064	.064	NUM
ajst-15581	165	35	.016	.016	NUM
ajst-15581	165	36	.023	.023	NUM
ajst-15581	165	37	.031	.031	NUM
ajst-15581	165	38	.038	.038	NUM
ajst-15581	165	39	.010	.010	NUM
ajst-15581	165	40	.016	.016	NUM
ajst-15581	165	41	ca	ca	PROPN
ajst-15581	165	42	.491	.491	NUM
ajst-15581	165	43	.831	.831	NUM
ajst-15581	165	44	.230	.230	NUM
ajst-15581	165	45	-.056	-.056	PROPN
ajst-15581	165	46	.107	.107	NUM
ajst-15581	165	47	.488	.488	NUM
ajst-15581	166	1	.140	.140	NUM
ajst-15581	166	2	-.040	-.040	NOUN
ajst-15581	166	3	p	p	X
ajst-15581	166	4	.123	.123	NUM
ajst-15581	166	5	.561	.561	NUM
ajst-15581	166	6	.096	.096	NUM
ajst-15581	166	7	.134	.134	NUM
ajst-15581	166	8	.027	.027	NUM
ajst-15581	166	9	.330	.330	NUM
ajst-15581	166	10	.059	.059	NUM
ajst-15581	166	11	.096	.096	NUM
ajst-15581	166	12	s	s	PART
ajst-15581	166	13	.273	.273	NUM
ajst-15581	166	14	.511	.511	NUM
ajst-15581	166	15	.089	.089	NUM
ajst-15581	166	16	.020	.020	NUM
ajst-15581	166	17	.060	.060	NUM
ajst-15581	166	18	.300	.300	NUM
ajst-15581	166	19	.054	.054	NUM
ajst-15581	166	20	.014	.014	NUM
ajst-15581	166	21	zr	zr	PROPN
ajst-15581	166	22	.284	.284	NUM
ajst-15581	166	23	-.372	-.372	PROPN
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ajst-15581	166	25	.065	.065	NUM
ajst-15581	166	26	.062	.062	NUM
ajst-15581	166	27	-.219	-.219	PROPN
ajst-15581	166	28	.177	.177	NUM
ajst-15581	166	29	.046	.046	NUM
ajst-15581	167	1	k	k	PROPN
ajst-15581	167	2	-.199	-.199	PROPN
ajst-15581	167	3	-.075	-.075	PROPN
ajst-15581	167	4	-.442	-.442	VERB
ajst-15581	167	5	-.190	-.190	PROPN
ajst-15581	167	6	-.044	-.044	PROPN
ajst-15581	167	7	-.044	-.044	PROPN
ajst-15581	167	8	-.269	-.269	PROPN
ajst-15581	167	9	-.136	-.136	PROPN
ajst-15581	167	10	ni	ni	PROPN
ajst-15581	167	11	.029	.029	PROPN
ajst-15581	167	12	-.047	-.047	PROPN
ajst-15581	167	13	.375	.375	NUM
ajst-15581	167	14	.272	.272	NUM
ajst-15581	167	15	.006	.006	NUM
ajst-15581	167	16	-.028	-.028	PROPN
ajst-15581	167	17	.229	.229	NUM
ajst-15581	167	18	.194	.194	NUM
ajst-15581	167	19	na	na	ADP
ajst-15581	168	1	-.232	-.232	PROPN
ajst-15581	168	2	-.298	-.298	PROPN
ajst-15581	168	3	.322	.322	NUM
ajst-15581	168	4	.137	.137	NUM
ajst-15581	169	1	-.051	-.051	PROPN
ajst-15581	169	2	-.175	-.175	PROPN
ajst-15581	169	3	.196	.196	NUM
ajst-15581	169	4	.098	.098	NUM
ajst-15581	170	1	fe	fe	X
ajst-15581	170	2	.492	.492	NUM
ajst-15581	171	1	-.097	-.097	PROPN
ajst-15581	171	2	.181	.181	NUM
ajst-15581	171	3	.818	.818	NUM
ajst-15581	171	4	.108	.108	NUM
ajst-15581	172	1	-.057	-.057	NOUN
ajst-15581	172	2	.110	.110	NUM
ajst-15581	172	3	.584	.584	NUM
ajst-15581	172	4	ti	ti	NOUN
ajst-15581	172	5	.344	.344	NUM
ajst-15581	172	6	-.063	-.063	PROPN
ajst-15581	172	7	.084	.084	NUM
ajst-15581	172	8	.618	.618	NUM
ajst-15581	172	9	.075	.075	NUM
ajst-15581	173	1	-.037	-.037	PROPN
ajst-15581	173	2	.051	.051	NUM
ajst-15581	173	3	.441	.441	NUM
ajst-15581	173	4	ba	ba	PROPN
ajst-15581	173	5	.351	.351	NUM
ajst-15581	173	6	-.022	-.022	PROPN
ajst-15581	173	7	.125	.125	NUM
ajst-15581	173	8	.512	.512	NUM
ajst-15581	173	9	.077	.077	NUM
ajst-15581	174	1	-.013	-.013	NOUN
ajst-15581	174	2	.076	.076	NUM
ajst-15581	174	3	.365	.365	NUM
ajst-15581	174	4	mg	mg	PROPN
ajst-15581	174	5	.204	.204	NUM
ajst-15581	174	6	.316	.316	NUM
ajst-15581	174	7	.225	.225	NUM
ajst-15581	174	8	.485	.485	NUM
ajst-15581	174	9	.045	.045	NUM
ajst-15581	174	10	.186	.186	NUM
ajst-15581	174	11	.137	.137	NUM
ajst-15581	174	12	.346	.346	NUM
ajst-15581	174	13	v	v	NOUN
ajst-15581	174	14	.394	.394	NUM
ajst-15581	174	15	-.131	-.131	PROPN
ajst-15581	174	16	.396	.396	NUM
ajst-15581	174	17	.453	.453	NUM
ajst-15581	174	18	.086	.086	NUM
ajst-15581	175	1	-.077	-.077	PROPN
ajst-15581	175	2	.241	.241	NUM
ajst-15581	175	3	.323	.323	NUM
ajst-15581	175	4	extraction	extraction	NOUN
ajst-15581	175	5	method	method	NOUN
ajst-15581	175	6	:	:	PUNCT
ajst-15581	175	7	principal	principal	ADJ
ajst-15581	175	8	component	component	NOUN
ajst-15581	175	9	analysis	analysis	NOUN
ajst-15581	175	10	.	.	PUNCT
ajst-15581	176	1	four	four	NUM
ajst-15581	176	2	components	component	NOUN
ajst-15581	176	3	were	be	AUX
ajst-15581	176	4	extracted	extract	VERB
ajst-15581	176	5	.	.	PUNCT
ajst-15581	177	1	the	the	DET
ajst-15581	177	2	normalized	normalize	VERB
ajst-15581	177	3	element	element	NOUN
ajst-15581	177	4	data	datum	NOUN
ajst-15581	177	5	for	for	ADP
ajst-15581	177	6	si	si	PROPN
ajst-15581	177	7	,	,	PUNCT
ajst-15581	177	8	al	al	PROPN
ajst-15581	177	9	,	,	PUNCT
ajst-15581	177	10	sr	sr	PROPN
ajst-15581	177	11	,	,	PUNCT
ajst-15581	177	12	cl	cl	PROPN
ajst-15581	177	13	,	,	PUNCT
ajst-15581	177	14	mn	mn	PROPN
ajst-15581	177	15	,	,	PUNCT
ajst-15581	177	16	ca	can	AUX
ajst-15581	177	17	,	,	PUNCT
ajst-15581	177	18	p	p	X
ajst-15581	177	19	,	,	PUNCT
ajst-15581	177	20	s	s	PROPN
ajst-15581	177	21	,	,	PUNCT
ajst-15581	177	22	zr	zr	PROPN
ajst-15581	177	23	,	,	PUNCT
ajst-15581	177	24	k	k	PROPN
ajst-15581	177	25	,	,	PUNCT
ajst-15581	177	26	ni	ni	PROPN
ajst-15581	177	27	,	,	PUNCT
ajst-15581	177	28	na	na	NOUN
ajst-15581	177	29	,	,	PUNCT
ajst-15581	177	30	fe	fe	X
ajst-15581	177	31	,	,	PUNCT
ajst-15581	177	32	ti	ti	NOUN
ajst-15581	177	33	,	,	PUNCT
ajst-15581	177	34	ba	ba	PROPN
ajst-15581	177	35	,	,	PUNCT
ajst-15581	177	36	mg	mg	PROPN
ajst-15581	177	37	,	,	PUNCT
ajst-15581	177	38	and	and	CCONJ
ajst-15581	177	39	v	v	NOUN
ajst-15581	177	40	are	be	AUX
ajst-15581	177	41	presented	present	VERB
ajst-15581	177	42	as	as	ADP
ajst-15581	177	43	x	x	NOUN
ajst-15581	177	44	_	_	NOUN
ajst-15581	177	45	1	1	NUM
ajst-15581	177	46	~	~	PUNCT
ajst-15581	177	47	x	x	X
ajst-15581	177	48	_	_	NOUN
ajst-15581	177	49	17	17	NUM
ajst-15581	177	50	.	.	PUNCT
ajst-15581	178	1	the	the	DET
ajst-15581	178	2	obtained	obtain	VERB
ajst-15581	178	3	eigenvector	eigenvector	NOUN
ajst-15581	178	4	was	be	AUX
ajst-15581	178	5	multiplied	multiply	VERB
ajst-15581	178	6	by	by	ADP
ajst-15581	178	7	the	the	DET
ajst-15581	178	8	normalized	normalize	VERB
ajst-15581	178	9	element	element	NOUN
ajst-15581	178	10	data	datum	NOUN
ajst-15581	178	11	to	to	PART
ajst-15581	178	12	obtain	obtain	VERB
ajst-15581	178	13	the	the	DET
ajst-15581	178	14	principal	principal	ADJ
ajst-15581	178	15	component	component	NOUN
ajst-15581	178	16	expression	expression	NOUN
ajst-15581	178	17	(	(	PUNCT
ajst-15581	178	18	7	7	NUM
ajst-15581	178	19	)	)	PUNCT
ajst-15581	178	20	~	~	PUNCT
ajst-15581	178	21	(	(	PUNCT
ajst-15581	178	22	10	10	NUM
ajst-15581	178	23	)	)	PUNCT
ajst-15581	178	24	.	.	PUNCT
ajst-15581	179	1	on	on	ADP
ajst-15581	179	2	the	the	DET
ajst-15581	179	3	basis	basis	NOUN
ajst-15581	179	4	of	of	ADP
ajst-15581	179	5	this	this	DET
ajst-15581	179	6	expression	expression	NOUN
ajst-15581	179	7	,	,	PUNCT
ajst-15581	179	8	data	datum	NOUN
ajst-15581	179	9	dimension	dimension	NOUN
ajst-15581	179	10	reduction	reduction	NOUN
ajst-15581	179	11	operation	operation	NOUN
ajst-15581	179	12	is	be	AUX
ajst-15581	179	13	performed	perform	VERB
ajst-15581	179	14	as	as	SCONJ
ajst-15581	179	15	shown	show	VERB
ajst-15581	179	16	below	below	ADV
ajst-15581	179	17	.	.	PUNCT
ajst-15581	180	1	𝐹	𝐹	PROPN
ajst-15581	180	2	0.213𝑋	0.213𝑋	X
ajst-15581	180	3	0.185𝑋	0.185𝑋	NUM
ajst-15581	180	4	0.08𝑋	0.08𝑋	NUM
ajst-15581	180	5	0.072𝑋	0.072𝑋	NUM
ajst-15581	180	6	0.031𝑋	0.031𝑋	NUM
ajst-15581	180	7	0.107𝑋	0.107𝑋	NUM
ajst-15581	180	8	0.027𝑋	0.027𝑋	NUM
ajst-15581	180	9	0.06𝑋	0.06𝑋	PROPN
ajst-15581	180	10	0.062𝑋	0.062𝑋	NUM
ajst-15581	180	11	0.044𝑋	0.044𝑋	NUM
ajst-15581	180	12	0.006𝑋	0.006𝑋	NUM
ajst-15581	180	13	0.051𝑋	0.051𝑋	NUM
ajst-15581	180	14	0.108𝑋	0.108𝑋	NUM
ajst-15581	180	15	0.075𝑋	0.075𝑋	NOUN
ajst-15581	180	16	0.077𝑋	0.077𝑋	NUM
ajst-15581	180	17	0.045𝑋	0.045𝑋	PUNCT
ajst-15581	180	18	0.086𝑋	0.086𝑋	X
ajst-15581	180	19	(	(	PUNCT
ajst-15581	180	20	7	7	X
ajst-15581	180	21	)	)	PUNCT
ajst-15581	180	22	𝐹	𝐹	PROPN
ajst-15581	180	23	0.005𝑋	0.005𝑋	PROPN
ajst-15581	180	24	0.13𝑋	0.13𝑋	NUM
ajst-15581	180	25	0.159𝑋	0.159𝑋	NUM
ajst-15581	180	26	0.109𝑋	0.109𝑋	NUM
ajst-15581	180	27	0.038𝑋	0.038𝑋	NUM
ajst-15581	180	28	0.488𝑋	0.488𝑋	PUNCT
ajst-15581	180	29	0.33𝑋	0.33𝑋	NUM
ajst-15581	180	30	0.3𝑋	0.3𝑋	VERB
ajst-15581	180	31	0.219𝑋	0.219𝑋	NUM
ajst-15581	181	1	0.044𝑋	0.044𝑋	NUM
ajst-15581	181	2	0.028𝑋	0.028𝑋	NUM
ajst-15581	181	3	0.175𝑋	0.175𝑋	NUM
ajst-15581	181	4	0.057𝑋	0.057𝑋	NUM
ajst-15581	181	5	0.037𝑋	0.037𝑋	NUM
ajst-15581	181	6	0.013𝑋	0.013𝑋	VERB
ajst-15581	181	7	0.186𝑋	0.186𝑋	NOUN
ajst-15581	181	8	0.077𝑋	0.077𝑋	PUNCT
ajst-15581	182	1	(	(	PUNCT
ajst-15581	182	2	8)	8)	NUM
ajst-15581	182	3	𝐹	𝐹	PROPN
ajst-15581	182	4	0.134𝑋	0.134𝑋	NOUN
ajst-15581	182	5	0.274𝑋	0.274𝑋	NUM
ajst-15581	182	6	0.219𝑋	0.219𝑋	NUM
ajst-15581	182	7	0.028𝑋	0.028𝑋	NUM
ajst-15581	182	8	0.01𝑋	0.01𝑋	NUM
ajst-15581	182	9	0.14𝑋	0.14𝑋	NUM
ajst-15581	182	10	0.059𝑋	0.059𝑋	NUM
ajst-15581	182	11	0.054𝑋	0.054𝑋	NUM
ajst-15581	182	12	0.177𝑋	0.177𝑋	NUM
ajst-15581	182	13	0.269𝑋	0.269𝑋	NUM
ajst-15581	182	14	0.229𝑋	0.229𝑋	NOUN
ajst-15581	182	15	0.196𝑋	0.196𝑋	NUM
ajst-15581	182	16	0.11𝑋	0.11𝑋	NUM
ajst-15581	182	17	0.051𝑋	0.051𝑋	NUM
ajst-15581	182	18	0.076𝑋	0.076𝑋	NUM
ajst-15581	182	19	0.137𝑋	0.137𝑋	NUM
ajst-15581	182	20	0.241𝑋	0.241𝑋	NUM
ajst-15581	182	21	(	(	PUNCT
ajst-15581	182	22	9	9	X
ajst-15581	182	23	)	)	PUNCT
ajst-15581	182	24	𝐹	𝐹	PRON
ajst-15581	182	25	0.115𝑋	0.115𝑋	VERB
ajst-15581	182	26	0.088𝑋	0.088𝑋	NUM
ajst-15581	182	27	0.098𝑋	0.098𝑋	NUM
ajst-15581	182	28	0.016𝑋	0.016𝑋	X
ajst-15581	182	29	0.04𝑋	0.04𝑋	NUM
ajst-15581	182	30	0.096𝑋	0.096𝑋	NUM
ajst-15581	183	1	0.014𝑋	0.014𝑋	NUM
ajst-15581	183	2	0.046𝑋	0.046𝑋	NOUN
ajst-15581	183	3	0.136𝑋	0.136𝑋	NUM
ajst-15581	183	4	0.194𝑋	0.194𝑋	NUM
ajst-15581	183	5	0	0	NUM
ajst-15581	183	6	.098𝑋	.098𝑋	PROPN
ajst-15581	183	7	0.584𝑋	0.584𝑋	NUM
ajst-15581	183	8	0.441𝑋	0.441𝑋	NUM
ajst-15581	183	9	0.365𝑋	0.365𝑋	PUNCT
ajst-15581	184	1	0.346𝑋	0.346𝑋	NOUN
ajst-15581	184	2	0.323𝑋	0.323𝑋	NUM
ajst-15581	184	3	(	(	PUNCT
ajst-15581	184	4	10	10	NUM
ajst-15581	184	5	)	)	SYM
ajst-15581	184	6	5	5	NUM
ajst-15581	184	7	.	.	PUNCT
ajst-15581	184	8	application	application	NOUN
ajst-15581	184	9	examples	example	NOUN
ajst-15581	184	10	and	and	CCONJ
ajst-15581	184	11	effect	effect	VERB
ajst-15581	184	12	analysis	analysis	NOUN
ajst-15581	184	13	the	the	DET
ajst-15581	184	14	stratum	stratum	NOUN
ajst-15581	184	15	identification	identification	NOUN
ajst-15581	184	16	model	model	NOUN
ajst-15581	184	17	established	establish	VERB
ajst-15581	184	18	using	use	VERB
ajst-15581	184	19	the	the	DET
ajst-15581	184	20	above	above	ADJ
ajst-15581	184	21	method	method	NOUN
ajst-15581	184	22	together	together	ADV
ajst-15581	184	23	with	with	ADP
ajst-15581	184	24	the	the	DET
ajst-15581	184	25	logging	log	VERB
ajst-15581	184	26	data	datum	NOUN
ajst-15581	184	27	obtained	obtain	VERB
ajst-15581	184	28	while	while	SCONJ
ajst-15581	184	29	drilling	drilling	NOUN
ajst-15581	184	30	,	,	PUNCT
ajst-15581	184	31	a	a	DET
ajst-15581	184	32	stratum	stratum	NOUN
ajst-15581	184	33	identification	identification	NOUN
ajst-15581	184	34	was	be	AUX
ajst-15581	184	35	performed	perform	VERB
ajst-15581	184	36	while	while	SCONJ
ajst-15581	184	37	drilling	drill	VERB
ajst-15581	184	38	for	for	ADP
ajst-15581	184	39	multiple	multiple	ADJ
ajst-15581	184	40	wells	well	NOUN
ajst-15581	184	41	in	in	ADP
ajst-15581	184	42	the	the	DET
ajst-15581	184	43	study	study	NOUN
ajst-15581	184	44	block	block	NOUN
ajst-15581	184	45	,	,	PUNCT
ajst-15581	184	46	resulting	result	VERB
ajst-15581	184	47	in	in	ADP
ajst-15581	184	48	satisfactory	satisfactory	ADJ
ajst-15581	184	49	outcomes	outcome	NOUN
ajst-15581	184	50	.	.	PUNCT
ajst-15581	185	1	selecting	select	VERB
ajst-15581	185	2	part	part	NOUN
ajst-15581	185	3	of	of	ADP
ajst-15581	185	4	the	the	DET
ajst-15581	185	5	logging	logging	NOUN
ajst-15581	185	6	while	while	SCONJ
ajst-15581	185	7	drilling	drill	VERB
ajst-15581	185	8	data	datum	NOUN
ajst-15581	185	9	of	of	ADP
ajst-15581	185	10	a	a	DET
ajst-15581	185	11	well	well	NOUN
ajst-15581	185	12	in	in	ADP
ajst-15581	185	13	the	the	DET
ajst-15581	185	14	research	research	NOUN
ajst-15581	185	15	block	block	NOUN
ajst-15581	185	16	as	as	SCONJ
ajst-15581	185	17	the	the	DET
ajst-15581	185	18	test	test	NOUN
ajst-15581	185	19	sample	sample	NOUN
ajst-15581	185	20	,	,	PUNCT
ajst-15581	185	21	a	a	DET
ajst-15581	185	22	follow	follow	VERB
ajst-15581	185	23	-	-	PUNCT
ajst-15581	185	24	up	up	ADP
ajst-15581	185	25	verification	verification	NOUN
ajst-15581	185	26	was	be	AUX
ajst-15581	185	27	performed	perform	VERB
ajst-15581	185	28	which	which	PRON
ajst-15581	185	29	generates	generate	VERB
ajst-15581	185	30	the	the	DET
ajst-15581	185	31	drilling	drilling	NOUN
ajst-15581	185	32	parameter	parameter	NOUN
ajst-15581	185	33	data	datum	NOUN
ajst-15581	185	34	set	set	VERB
ajst-15581	185	35	during	during	ADP
ajst-15581	185	36	the	the	DET
ajst-15581	185	37	collection	collection	NOUN
ajst-15581	185	38	of	of	ADP
ajst-15581	185	39	drilling	drilling	NOUN
ajst-15581	185	40	engineering	engineering	NOUN
ajst-15581	185	41	parameters	parameter	NOUN
ajst-15581	185	42	,	,	PUNCT
ajst-15581	185	43	de	de	ADJ
ajst-15581	185	44	-	-	ADJ
ajst-15581	185	45	noised	noised	ADJ
ajst-15581	185	46	and	and	CCONJ
ajst-15581	185	47	smoothed	smooth	VERB
ajst-15581	185	48	.	.	PUNCT
ajst-15581	186	1	subsequently	subsequently	ADV
ajst-15581	186	2	,	,	PUNCT
ajst-15581	186	3	the	the	DET
ajst-15581	186	4	principal	principal	ADJ
ajst-15581	186	5	component	component	NOUN
ajst-15581	186	6	expression	expression	NOUN
ajst-15581	186	7	was	be	AUX
ajst-15581	186	8	used	use	VERB
ajst-15581	186	9	to	to	PART
ajst-15581	186	10	calculate	calculate	VERB
ajst-15581	186	11	the	the	DET
ajst-15581	186	12	principal	principal	ADJ
ajst-15581	186	13	component	component	NOUN
ajst-15581	186	14	factor	factor	NOUN
ajst-15581	186	15	of	of	ADP
ajst-15581	186	16	element	element	NOUN
ajst-15581	186	17	logging	log	VERB
ajst-15581	186	18	data	datum	NOUN
ajst-15581	186	19	to	to	PART
ajst-15581	186	20	obtain	obtain	VERB
ajst-15581	186	21	the	the	DET
ajst-15581	186	22	element	element	NOUN
ajst-15581	186	23	data	datum	NOUN
ajst-15581	186	24	set	set	VERB
ajst-15581	186	25	.	.	PUNCT
ajst-15581	187	1	finally	finally	ADV
ajst-15581	187	2	,	,	PUNCT
ajst-15581	187	3	the	the	DET
ajst-15581	187	4	two	two	NUM
ajst-15581	187	5	data	data	NOUN
ajst-15581	187	6	sets	set	NOUN
ajst-15581	187	7	were	be	AUX
ajst-15581	187	8	used	use	VERB
ajst-15581	187	9	to	to	PART
ajst-15581	187	10	integrate	integrate	VERB
ajst-15581	187	11	and	and	CCONJ
ajst-15581	187	12	obtain	obtain	VERB
ajst-15581	187	13	the	the	DET
ajst-15581	187	14	final	final	ADJ
ajst-15581	187	15	test	test	NOUN
ajst-15581	187	16	set	set	NOUN
ajst-15581	187	17	(	(	PUNCT
ajst-15581	187	18	table	table	NOUN
ajst-15581	187	19	7	7	NUM
ajst-15581	187	20	)	)	PUNCT
ajst-15581	187	21	.	.	PUNCT
ajst-15581	188	1	125	125	NUM
ajst-15581	188	2	table	table	NOUN
ajst-15581	188	3	7	7	NUM
ajst-15581	188	4	.	.	PUNCT
ajst-15581	188	5	partial	partial	ADJ
ajst-15581	188	6	data	datum	NOUN
ajst-15581	188	7	of	of	ADP
ajst-15581	188	8	validation	validation	NOUN
ajst-15581	188	9	well	well	ADV
ajst-15581	188	10	test	test	NOUN
ajst-15581	188	11	set	set	VERB
ajst-15581	188	12	well	well	ADV
ajst-15581	188	13	depth	depth	NOUN
ajst-15581	188	14	drilling	drilling	NOUN
ajst-15581	188	15	time	time	NOUN
ajst-15581	188	16	drilling	drill	VERB
ajst-15581	188	17	pressure	pressure	NOUN
ajst-15581	188	18	drilling	drilling	NOUN
ajst-15581	188	19	speed	speed	NOUN
ajst-15581	188	20	torque	torque	NOUN
ajst-15581	188	21	fracture	fracture	NOUN
ajst-15581	188	22	pressure	pressure	NOUN
ajst-15581	188	23	gradient	gradient	NOUN
ajst-15581	188	24	f1	f1	NOUN
ajst-15581	188	25	f2	f2	PROPN
ajst-15581	188	26	f3	f3	VERB
ajst-15581	188	27	f4	f4	PRON
ajst-15581	188	28	4830	4830	NUM
ajst-15581	188	29	9.362	9.362	NUM
ajst-15581	188	30	10.528	10.528	NUM
ajst-15581	188	31	60	60	NUM
ajst-15581	188	32	12.686	12.686	NUM
ajst-15581	188	33	2.16	2.16	NUM
ajst-15581	188	34	0.140	0.140	NUM
ajst-15581	188	35	0.196	0.196	NUM
ajst-15581	188	36	0.350	0.350	NUM
ajst-15581	188	37	0.439	0.439	NUM
ajst-15581	188	38	4835	4835	NUM
ajst-15581	188	39	9.012	9.012	NUM
ajst-15581	188	40	7.786	7.786	NUM
ajst-15581	188	41	58.4	58.4	NUM
ajst-15581	188	42	9.14	9.14	NUM
ajst-15581	188	43	2.152	2.152	NUM
ajst-15581	188	44	0.118	0.118	NUM
ajst-15581	188	45	0.448	0.448	NUM
ajst-15581	188	46	0.334	0.334	NUM
ajst-15581	188	47	0.316	0.316	NUM
ajst-15581	188	48	4840	4840	NUM
ajst-15581	188	49	6.878	6.878	NUM
ajst-15581	188	50	6.66	6.66	NUM
ajst-15581	188	51	60	60	NUM
ajst-15581	188	52	8.012	8.012	NUM
ajst-15581	188	53	2.154	2.154	NUM
ajst-15581	188	54	0.113	0.113	NUM
ajst-15581	188	55	0.479	0.479	NUM
ajst-15581	188	56	0.372	0.372	NUM
ajst-15581	188	57	0.460	0.460	NUM
ajst-15581	188	58	4845	4845	NUM
ajst-15581	188	59	9.342	9.342	NUM
ajst-15581	188	60	7.158	7.158	NUM
ajst-15581	188	61	60	60	NUM
ajst-15581	188	62	7.756	7.756	NUM
ajst-15581	188	63	2.156	2.156	NUM
ajst-15581	188	64	0.126	0.126	NUM
ajst-15581	188	65	0.292	0.292	NUM
ajst-15581	188	66	0.315	0.315	NUM
ajst-15581	188	67	0.280	0.280	NUM
ajst-15581	188	68	…	…	PUNCT
ajst-15581	188	69	…	…	PUNCT
ajst-15581	188	70	…	…	PUNCT
ajst-15581	188	71	…	…	PUNCT
ajst-15581	188	72	…	…	PUNCT
ajst-15581	188	73	…	…	PUNCT
ajst-15581	188	74	…	…	PUNCT
ajst-15581	188	75	…	…	PUNCT
ajst-15581	188	76	…	…	PUNCT
ajst-15581	188	77	…	…	PUNCT
ajst-15581	188	78	5390	5390	NUM
ajst-15581	188	79	14.772	14.772	NUM
ajst-15581	188	80	9.814	9.814	NUM
ajst-15581	188	81	56.4	56.4	NUM
ajst-15581	188	82	12.252	12.252	NUM
ajst-15581	188	83	2.2	2.2	NUM
ajst-15581	188	84	0.115	0.115	NUM
ajst-15581	188	85	0.173	0.173	NUM
ajst-15581	188	86	0.433	0.433	NUM
ajst-15581	188	87	0.435	0.435	NUM
ajst-15581	188	88	5395	5395	NUM
ajst-15581	188	89	18.54	18.54	NUM
ajst-15581	188	90	10.022	10.022	NUM
ajst-15581	188	91	55	55	NUM
ajst-15581	188	92	12.248	12.248	NUM
ajst-15581	188	93	2.204	2.204	NUM
ajst-15581	188	94	0.114	0.114	NUM
ajst-15581	188	95	0.155	0.155	NUM
ajst-15581	188	96	0.378	0.378	NUM
ajst-15581	188	97	0.422	0.422	NUM
ajst-15581	188	98	5400	5400	NUM
ajst-15581	188	99	18.428	18.428	NUM
ajst-15581	188	100	10.032	10.032	NUM
ajst-15581	188	101	55	55	NUM
ajst-15581	188	102	11.862	11.862	NUM
ajst-15581	188	103	2.202	2.202	NUM
ajst-15581	188	104	0.124	0.124	NUM
ajst-15581	188	105	0.149	0.149	NUM
ajst-15581	188	106	0.412	0.412	NUM
ajst-15581	188	107	0.394	0.394	NUM
ajst-15581	188	108	5405	5405	NUM
ajst-15581	188	109	17.514	17.514	NUM
ajst-15581	188	110	10.33	10.33	NUM
ajst-15581	188	111	55	55	NUM
ajst-15581	188	112	12.084	12.084	NUM
ajst-15581	188	113	2.2	2.2	NUM
ajst-15581	188	114	0.088	0.088	NUM
ajst-15581	188	115	0.124	0.124	NUM
ajst-15581	188	116	0.381	0.381	NUM
ajst-15581	188	117	0.378	0.378	NUM
ajst-15581	188	118	as	as	SCONJ
ajst-15581	188	119	shown	show	VERB
ajst-15581	188	120	in	in	ADP
ajst-15581	188	121	the	the	DET
ajst-15581	188	122	real	real	ADJ
ajst-15581	188	123	label	label	NOUN
ajst-15581	188	124	statistics	statistic	NOUN
ajst-15581	188	125	,	,	PUNCT
ajst-15581	188	126	this	this	DET
ajst-15581	188	127	data	data	NOUN
ajst-15581	188	128	sample	sample	NOUN
ajst-15581	188	129	includes	include	VERB
ajst-15581	188	130	53	53	NUM
ajst-15581	188	131	samples	sample	NOUN
ajst-15581	188	132	of	of	ADP
ajst-15581	188	133	reservoir	reservoir	NOUN
ajst-15581	188	134	stratum	stratum	NOUN
ajst-15581	188	135	type	type	VERB
ajst-15581	188	136	ⅰ	ⅰ	NOUN
ajst-15581	188	137	and	and	CCONJ
ajst-15581	188	138	64	64	NUM
ajst-15581	188	139	samples	sample	NOUN
ajst-15581	188	140	of	of	ADP
ajst-15581	188	141	reservoir	reservoir	NOUN
ajst-15581	188	142	stratum	stratum	NOUN
ajst-15581	188	143	type	type	VERB
ajst-15581	188	144	ⅰi	ⅰi	NOUN
ajst-15581	188	145	.	.	PUNCT
ajst-15581	189	1	the	the	DET
ajst-15581	189	2	test	test	NOUN
ajst-15581	189	3	set	set	NOUN
ajst-15581	189	4	was	be	AUX
ajst-15581	189	5	input	input	NOUN
ajst-15581	189	6	into	into	ADP
ajst-15581	189	7	the	the	DET
ajst-15581	189	8	built	build	VERB
ajst-15581	189	9	lightgbm	lightgbm	ADJ
ajst-15581	189	10	model	model	NOUN
ajst-15581	189	11	to	to	PART
ajst-15581	189	12	calculate	calculate	VERB
ajst-15581	189	13	the	the	DET
ajst-15581	189	14	f1	f1	NOUN
ajst-15581	189	15	-	-	PUNCT
ajst-15581	189	16	score	score	NOUN
ajst-15581	189	17	and	and	CCONJ
ajst-15581	189	18	draw	draw	VERB
ajst-15581	189	19	the	the	DET
ajst-15581	189	20	roc	roc	PROPN
ajst-15581	189	21	curve	curve	NOUN
ajst-15581	189	22	.	.	PUNCT
ajst-15581	190	1	the	the	DET
ajst-15581	190	2	details	detail	NOUN
ajst-15581	190	3	are	be	AUX
ajst-15581	190	4	shown	show	VERB
ajst-15581	190	5	in	in	ADP
ajst-15581	190	6	figure	figure	NOUN
ajst-15581	190	7	7	7	NUM
ajst-15581	190	8	.	.	PUNCT
ajst-15581	191	1	the	the	DET
ajst-15581	191	2	model	model	NOUN
ajst-15581	191	3	was	be	AUX
ajst-15581	191	4	used	use	VERB
ajst-15581	191	5	to	to	PART
ajst-15581	191	6	divide	divide	VERB
ajst-15581	191	7	the	the	DET
ajst-15581	191	8	verification	verification	NOUN
ajst-15581	191	9	wells	well	NOUN
ajst-15581	191	10	into	into	ADP
ajst-15581	191	11	sublayers	sublayer	NOUN
ajst-15581	191	12	.	.	PUNCT
ajst-15581	192	1	the	the	DET
ajst-15581	192	2	f1	f1	NOUN
ajst-15581	192	3	-	-	PUNCT
ajst-15581	192	4	score	score	NOUN
ajst-15581	192	5	of	of	ADP
ajst-15581	192	6	reservoir	reservoir	NOUN
ajst-15581	192	7	stratum	stratum	NOUN
ajst-15581	192	8	type	type	VERB
ajst-15581	192	9	ⅰ	ⅰ	NOUN
ajst-15581	192	10	and	and	CCONJ
ajst-15581	192	11	reservoir	reservoir	PROPN
ajst-15581	192	12	stratum	stratum	NOUN
ajst-15581	192	13	type	type	NOUN
ajst-15581	193	1	ⅰi	ⅰi	NOUN
ajst-15581	193	2	reservoirs	reservoir	NOUN
ajst-15581	193	3	were	be	AUX
ajst-15581	193	4	93.5	93.5	NUM
ajst-15581	193	5	%	%	NOUN
ajst-15581	193	6	and	and	CCONJ
ajst-15581	193	7	95.6	95.6	NUM
ajst-15581	193	8	%	%	NOUN
ajst-15581	193	9	,	,	PUNCT
ajst-15581	193	10	respectively	respectively	ADV
ajst-15581	193	11	and	and	CCONJ
ajst-15581	193	12	the	the	DET
ajst-15581	193	13	auc	auc	NOUN
ajst-15581	193	14	value	value	NOUN
ajst-15581	193	15	was	be	AUX
ajst-15581	193	16	0.9455	0.9455	NUM
ajst-15581	193	17	.	.	PUNCT
ajst-15581	194	1	the	the	DET
ajst-15581	194	2	prediction	prediction	NOUN
ajst-15581	194	3	accuracy	accuracy	NOUN
ajst-15581	194	4	and	and	CCONJ
ajst-15581	194	5	generalization	generalization	NOUN
ajst-15581	194	6	ability	ability	NOUN
ajst-15581	194	7	of	of	ADP
ajst-15581	194	8	the	the	DET
ajst-15581	194	9	model	model	NOUN
ajst-15581	194	10	meet	meet	VERB
ajst-15581	194	11	the	the	DET
ajst-15581	194	12	identification	identification	NOUN
ajst-15581	194	13	requirements	requirement	NOUN
ajst-15581	194	14	.	.	PUNCT
ajst-15581	195	1	lightgbm	lightgbm	VERB
ajst-15581	195	2	roc	roc	PROPN
ajst-15581	195	3	curve	curve	NOUN
ajst-15581	195	4	figure	figure	NOUN
ajst-15581	195	5	7	7	NUM
ajst-15581	195	6	.	.	PUNCT
ajst-15581	195	7	testing	test	VERB
ajst-15581	195	8	well	well	ADV
ajst-15581	195	9	𝐹1	𝐹1	PROPN
ajst-15581	195	10	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
ajst-15581	195	11	score	score	NOUN
ajst-15581	195	12	and	and	CCONJ
ajst-15581	195	13	roc	roc	PROPN
ajst-15581	195	14	curve	curve	VERB
ajst-15581	195	15	the	the	DET
ajst-15581	195	16	model	model	NOUN
ajst-15581	195	17	output	output	NOUN
ajst-15581	195	18	and	and	CCONJ
ajst-15581	195	19	real	real	ADJ
ajst-15581	195	20	values	value	NOUN
ajst-15581	195	21	are	be	AUX
ajst-15581	195	22	projected	project	VERB
ajst-15581	195	23	into	into	ADP
ajst-15581	195	24	the	the	DET
ajst-15581	195	25	logging	log	VERB
ajst-15581	195	26	curve	curve	NOUN
ajst-15581	195	27	,	,	PUNCT
ajst-15581	195	28	which	which	PRON
ajst-15581	195	29	is	be	AUX
ajst-15581	195	30	presented	present	VERB
ajst-15581	195	31	in	in	ADP
ajst-15581	195	32	figure	figure	NOUN
ajst-15581	195	33	8	8	NUM
ajst-15581	195	34	.	.	PUNCT
ajst-15581	196	1	figure	figure	NOUN
ajst-15581	196	2	8	8	NUM
ajst-15581	196	3	.	.	PUNCT
ajst-15581	196	4	comparison	comparison	NOUN
ajst-15581	196	5	between	between	ADP
ajst-15581	196	6	conventional	conventional	ADJ
ajst-15581	196	7	stratigraphic	stratigraphic	ADJ
ajst-15581	196	8	sub	sub	ADJ
ajst-15581	196	9	-	-	ADJ
ajst-15581	196	10	layer	layer	ADJ
ajst-15581	196	11	division	division	NOUN
ajst-15581	196	12	and	and	CCONJ
ajst-15581	196	13	predicted	predict	VERB
ajst-15581	196	14	sub	sub	ADJ
ajst-15581	196	15	-	-	ADJ
ajst-15581	196	16	layer	layer	ADJ
ajst-15581	196	17	division	division	NOUN
ajst-15581	196	18	0.935	0.935	NUM
ajst-15581	196	19	0.956	0.956	NUM
ajst-15581	196	20	0.6	0.6	NUM
ajst-15581	196	21	0.7	0.7	NUM
ajst-15581	196	22	0.8	0.8	NUM
ajst-15581	196	23	0.9	0.9	NUM
ajst-15581	196	24	1	1	NUM
ajst-15581	196	25	ⅰ类储层	ⅰ类储层	PROPN
ajst-15581	196	26	ⅱ类储层	ⅱ类储层	ADJ
ajst-15581	196	27	126	126	NUM
ajst-15581	196	28	6	6	NUM
ajst-15581	196	29	.	.	PUNCT
ajst-15581	197	1	conclusion	conclusion	VERB
ajst-15581	197	2	heavy	heavy	ADJ
ajst-15581	197	3	workload	workload	NOUN
ajst-15581	197	4	and	and	CCONJ
ajst-15581	197	5	low	low	ADJ
ajst-15581	197	6	accuracy	accuracy	NOUN
ajst-15581	197	7	in	in	ADP
ajst-15581	197	8	identifying	identify	VERB
ajst-15581	197	9	the	the	DET
ajst-15581	197	10	sublayer	sublayer	NOUN
ajst-15581	197	11	of	of	ADP
ajst-15581	197	12	stratum	stratum	NOUN
ajst-15581	197	13	by	by	ADP
ajst-15581	197	14	manual	manual	ADJ
ajst-15581	197	15	use	use	NOUN
ajst-15581	197	16	of	of	ADP
ajst-15581	197	17	logging	log	VERB
ajst-15581	197	18	data	datum	NOUN
ajst-15581	197	19	is	be	AUX
ajst-15581	197	20	a	a	DET
ajst-15581	197	21	great	great	ADJ
ajst-15581	197	22	concern	concern	NOUN
ajst-15581	197	23	.	.	PUNCT
ajst-15581	198	1	therefore	therefore	ADV
ajst-15581	198	2	,	,	PUNCT
ajst-15581	198	3	we	we	PRON
ajst-15581	198	4	comprehensively	comprehensively	ADV
ajst-15581	198	5	considered	consider	VERB
ajst-15581	198	6	the	the	DET
ajst-15581	198	7	synergy	synergy	NOUN
ajst-15581	198	8	of	of	ADP
ajst-15581	198	9	multiple	multiple	ADJ
ajst-15581	198	10	parameters	parameter	NOUN
ajst-15581	198	11	in	in	ADP
ajst-15581	198	12	logging	log	VERB
ajst-15581	198	13	data	datum	NOUN
ajst-15581	198	14	while	while	SCONJ
ajst-15581	198	15	drilling	drill	VERB
ajst-15581	198	16	and	and	CCONJ
ajst-15581	198	17	constructed	construct	VERB
ajst-15581	198	18	an	an	DET
ajst-15581	198	19	intelligent	intelligent	ADJ
ajst-15581	198	20	sub	sub	ADJ
ajst-15581	198	21	-	-	ADJ
ajst-15581	198	22	layer	layer	ADJ
ajst-15581	198	23	division	division	NOUN
ajst-15581	198	24	model	model	NOUN
ajst-15581	198	25	based	base	VERB
ajst-15581	198	26	on	on	ADP
ajst-15581	198	27	the	the	DET
ajst-15581	198	28	lightgbm	lightgbm	ADJ
ajst-15581	198	29	algorithm	algorithm	NOUN
ajst-15581	198	30	.	.	PUNCT
ajst-15581	199	1	then	then	ADV
ajst-15581	199	2	,	,	PUNCT
ajst-15581	199	3	optimized	optimize	VERB
ajst-15581	199	4	the	the	DET
ajst-15581	199	5	input	input	NOUN
ajst-15581	199	6	parameters	parameter	NOUN
ajst-15581	199	7	of	of	ADP
ajst-15581	199	8	the	the	DET
ajst-15581	199	9	model	model	NOUN
ajst-15581	199	10	using	use	VERB
ajst-15581	199	11	the	the	DET
ajst-15581	199	12	principal	principal	ADJ
ajst-15581	199	13	component	component	NOUN
ajst-15581	199	14	analysis	analysis	NOUN
ajst-15581	199	15	method	method	NOUN
ajst-15581	199	16	.	.	PUNCT
ajst-15581	200	1	we	we	PRON
ajst-15581	200	2	realized	realize	VERB
ajst-15581	200	3	a	a	DET
ajst-15581	200	4	fine	fine	ADJ
ajst-15581	200	5	division	division	NOUN
ajst-15581	200	6	of	of	ADP
ajst-15581	200	7	the	the	DET
ajst-15581	200	8	sub	sub	NOUN
ajst-15581	200	9	-	-	NOUN
ajst-15581	200	10	layer	layer	NOUN
ajst-15581	200	11	of	of	ADP
ajst-15581	200	12	stratum	stratum	NOUN
ajst-15581	200	13	in	in	ADP
ajst-15581	200	14	a	a	DET
ajst-15581	200	15	block	block	NOUN
ajst-15581	200	16	of	of	ADP
ajst-15581	200	17	the	the	DET
ajst-15581	200	18	central	central	PROPN
ajst-15581	200	19	bohai	bohai	PROPN
ajst-15581	200	20	sea	sea	NOUN
ajst-15581	200	21	oil	oil	NOUN
ajst-15581	200	22	field	field	NOUN
ajst-15581	200	23	,	,	PUNCT
ajst-15581	200	24	with	with	ADP
ajst-15581	200	25	conclusions	conclusion	NOUN
ajst-15581	200	26	as	as	SCONJ
ajst-15581	200	27	follows	follow	VERB
ajst-15581	200	28	:	:	PUNCT
ajst-15581	200	29	compared	compare	VERB
ajst-15581	200	30	with	with	ADP
ajst-15581	200	31	the	the	DET
ajst-15581	200	32	traditional	traditional	ADJ
ajst-15581	200	33	classification	classification	NOUN
ajst-15581	200	34	model	model	NOUN
ajst-15581	200	35	,	,	PUNCT
ajst-15581	200	36	deep	deep	ADJ
ajst-15581	200	37	neural	neural	ADJ
ajst-15581	200	38	network	network	NOUN
ajst-15581	200	39	,	,	PUNCT
ajst-15581	200	40	and	and	CCONJ
ajst-15581	200	41	support	support	NOUN
ajst-15581	200	42	vector	vector	NOUN
ajst-15581	200	43	,	,	PUNCT
ajst-15581	200	44	the	the	DET
ajst-15581	200	45	lightgbm	lightgbm	ADJ
ajst-15581	200	46	algorithm	algorithm	NOUN
ajst-15581	200	47	had	have	VERB
ajst-15581	200	48	high	high	ADJ
ajst-15581	200	49	competence	competence	NOUN
ajst-15581	200	50	.	.	PUNCT
ajst-15581	201	1	the	the	DET
ajst-15581	201	2	training	training	NOUN
ajst-15581	201	3	speed	speed	NOUN
ajst-15581	201	4	improved	improve	VERB
ajst-15581	201	5	,	,	PUNCT
ajst-15581	201	6	the	the	DET
ajst-15581	201	7	calculation	calculation	NOUN
ajst-15581	201	8	cost	cost	NOUN
ajst-15581	201	9	was	be	AUX
ajst-15581	201	10	lowered	lower	VERB
ajst-15581	201	11	,	,	PUNCT
ajst-15581	201	12	and	and	CCONJ
ajst-15581	201	13	also	also	ADV
ajst-15581	201	14	built	build	VERB
ajst-15581	201	15	a	a	DET
ajst-15581	201	16	small	small	ADJ
ajst-15581	201	17	prediction	prediction	NOUN
ajst-15581	201	18	model	model	NOUN
ajst-15581	201	19	with	with	ADP
ajst-15581	201	20	a	a	DET
ajst-15581	201	21	higher	high	ADJ
ajst-15581	201	22	𝐹1	𝐹1	PROPN
ajst-15581	201	23	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
ajst-15581	201	24	and	and	CCONJ
ajst-15581	201	25	𝐴𝑈𝐶	𝐴𝑈𝐶	PROPN
ajst-15581	201	26	value	value	NOUN
ajst-15581	201	27	.	.	PUNCT
ajst-15581	202	1	in	in	ADP
ajst-15581	202	2	addition	addition	NOUN
ajst-15581	202	3	,	,	PUNCT
ajst-15581	202	4	the	the	DET
ajst-15581	202	5	lightgbm	lightgbm	ADJ
ajst-15581	202	6	algorithm	algorithm	NOUN
ajst-15581	202	7	produced	produce	VERB
ajst-15581	202	8	better	well	ADJ
ajst-15581	202	9	accuracy	accuracy	NOUN
ajst-15581	202	10	and	and	CCONJ
ajst-15581	202	11	robustness	robustness	NOUN
ajst-15581	202	12	,	,	PUNCT
ajst-15581	202	13	and	and	CCONJ
ajst-15581	202	14	the	the	DET
ajst-15581	202	15	overall	overall	ADJ
ajst-15581	202	16	performance	performance	NOUN
ajst-15581	202	17	of	of	ADP
ajst-15581	202	18	the	the	DET
ajst-15581	202	19	model	model	NOUN
ajst-15581	202	20	improved	improve	VERB
ajst-15581	202	21	.	.	PUNCT
ajst-15581	203	1	the	the	DET
ajst-15581	203	2	principal	principal	ADJ
ajst-15581	203	3	component	component	NOUN
ajst-15581	203	4	analysis	analysis	NOUN
ajst-15581	203	5	method	method	NOUN
ajst-15581	203	6	effectively	effectively	ADV
ajst-15581	203	7	reduced	reduce	VERB
ajst-15581	203	8	the	the	DET
ajst-15581	203	9	dimension	dimension	NOUN
ajst-15581	203	10	of	of	ADP
ajst-15581	203	11	the	the	DET
ajst-15581	203	12	element	element	NOUN
ajst-15581	203	13	logging	log	VERB
ajst-15581	203	14	data	datum	NOUN
ajst-15581	203	15	in	in	ADP
ajst-15581	203	16	the	the	DET
ajst-15581	203	17	study	study	NOUN
ajst-15581	203	18	block	block	NOUN
ajst-15581	203	19	.	.	PUNCT
ajst-15581	204	1	only	only	ADV
ajst-15581	204	2	four	four	NUM
ajst-15581	204	3	factors	factor	NOUN
ajst-15581	204	4	attained	attain	VERB
ajst-15581	204	5	the	the	DET
ajst-15581	204	6	interpretation	interpretation	NOUN
ajst-15581	204	7	of	of	ADP
ajst-15581	204	8	93.368	93.368	NUM
ajst-15581	204	9	%	%	NOUN
ajst-15581	204	10	of	of	ADP
ajst-15581	204	11	the	the	DET
ajst-15581	204	12	total	total	ADJ
ajst-15581	204	13	17	17	NUM
ajst-15581	204	14	element	element	NOUN
ajst-15581	204	15	characteristics	characteristic	NOUN
ajst-15581	204	16	,	,	PUNCT
ajst-15581	204	17	with	with	ADP
ajst-15581	204	18	minimal	minimal	ADJ
ajst-15581	204	19	information	information	NOUN
ajst-15581	204	20	loss	loss	NOUN
ajst-15581	204	21	.	.	PUNCT
ajst-15581	205	1	the	the	DET
ajst-15581	205	2	integration	integration	NOUN
ajst-15581	205	3	with	with	ADP
ajst-15581	205	4	drilling	drilling	NOUN
ajst-15581	205	5	parameters	parameter	NOUN
ajst-15581	205	6	ensured	ensure	VERB
ajst-15581	205	7	the	the	DET
ajst-15581	205	8	lower	low	ADJ
ajst-15581	205	9	dimension	dimension	NOUN
ajst-15581	205	10	of	of	ADP
ajst-15581	205	11	the	the	DET
ajst-15581	205	12	data	datum	NOUN
ajst-15581	205	13	set	set	VERB
ajst-15581	205	14	,	,	PUNCT
ajst-15581	205	15	ensuring	ensure	VERB
ajst-15581	205	16	the	the	DET
ajst-15581	205	17	accuracy	accuracy	NOUN
ajst-15581	205	18	of	of	ADP
ajst-15581	205	19	identification	identification	NOUN
ajst-15581	205	20	,	,	PUNCT
ajst-15581	205	21	reducing	reduce	VERB
ajst-15581	205	22	the	the	DET
ajst-15581	205	23	calculation	calculation	NOUN
ajst-15581	205	24	amount	amount	NOUN
ajst-15581	205	25	of	of	ADP
ajst-15581	205	26	the	the	DET
ajst-15581	205	27	model	model	NOUN
ajst-15581	205	28	,	,	PUNCT
ajst-15581	205	29	and	and	CCONJ
ajst-15581	205	30	improving	improve	VERB
ajst-15581	205	31	the	the	DET
ajst-15581	205	32	calculation	calculation	NOUN
ajst-15581	205	33	speed	speed	NOUN
ajst-15581	205	34	.	.	PUNCT
ajst-15581	206	1	the	the	DET
ajst-15581	206	2	field	field	NOUN
ajst-15581	206	3	application	application	NOUN
ajst-15581	206	4	of	of	ADP
ajst-15581	206	5	the	the	DET
ajst-15581	206	6	study	study	NOUN
ajst-15581	206	7	block	block	NOUN
ajst-15581	206	8	showed	show	VERB
ajst-15581	206	9	that	that	SCONJ
ajst-15581	206	10	the	the	DET
ajst-15581	206	11	intelligent	intelligent	ADJ
ajst-15581	206	12	identification	identification	NOUN
ajst-15581	206	13	model	model	NOUN
ajst-15581	206	14	of	of	ADP
ajst-15581	206	15	the	the	DET
ajst-15581	206	16	formation	formation	NOUN
ajst-15581	206	17	sub	sub	ADJ
ajst-15581	206	18	-	-	ADJ
ajst-15581	206	19	layer	layer	NOUN
ajst-15581	206	20	established	establish	VERB
ajst-15581	206	21	by	by	ADP
ajst-15581	206	22	the	the	DET
ajst-15581	206	23	multi	multi	ADJ
ajst-15581	206	24	-	-	ADJ
ajst-15581	206	25	parameter	parameter	ADJ
ajst-15581	206	26	fusion	fusion	NOUN
ajst-15581	206	27	of	of	ADP
ajst-15581	206	28	logging	log	VERB
ajst-15581	206	29	while	while	SCONJ
ajst-15581	206	30	drilling	drilling	NOUN
ajst-15581	206	31	made	make	VERB
ajst-15581	206	32	full	full	ADJ
ajst-15581	206	33	use	use	NOUN
ajst-15581	206	34	of	of	ADP
ajst-15581	206	35	the	the	DET
ajst-15581	206	36	logging	logging	NOUN
ajst-15581	206	37	while	while	SCONJ
ajst-15581	206	38	drilling	drilling	NOUN
ajst-15581	206	39	data	datum	NOUN
ajst-15581	206	40	.	.	PUNCT
ajst-15581	207	1	also	also	ADV
ajst-15581	207	2	,	,	PUNCT
ajst-15581	207	3	it	it	PRON
ajst-15581	207	4	met	meet	VERB
ajst-15581	207	5	the	the	DET
ajst-15581	207	6	requirements	requirement	NOUN
ajst-15581	207	7	of	of	ADP
ajst-15581	207	8	the	the	DET
ajst-15581	207	9	identification	identification	NOUN
ajst-15581	207	10	accuracy	accuracy	NOUN
ajst-15581	207	11	of	of	ADP
ajst-15581	207	12	the	the	DET
ajst-15581	207	13	formation	formation	NOUN
ajst-15581	207	14	sub	sub	NOUN
ajst-15581	207	15	-	-	NOUN
ajst-15581	207	16	layer	layer	NOUN
ajst-15581	207	17	and	and	CCONJ
ajst-15581	207	18	compensated	compensate	VERB
ajst-15581	207	19	for	for	ADP
ajst-15581	207	20	the	the	DET
ajst-15581	207	21	insufficiencies	insufficiency	NOUN
ajst-15581	207	22	of	of	ADP
ajst-15581	207	23	artificial	artificial	ADJ
ajst-15581	207	24	identification	identification	NOUN
ajst-15581	207	25	of	of	ADP
ajst-15581	207	26	the	the	DET
ajst-15581	207	27	formation	formation	NOUN
ajst-15581	207	28	.	.	PUNCT
ajst-15581	208	1	furthermore	furthermore	ADV
ajst-15581	208	2	,	,	PUNCT
ajst-15581	208	3	the	the	DET
ajst-15581	208	4	application	application	NOUN
ajst-15581	208	5	provided	provide	VERB
ajst-15581	208	6	a	a	DET
ajst-15581	208	7	key	key	ADJ
ajst-15581	208	8	theoretical	theoretical	ADJ
ajst-15581	208	9	model	model	NOUN
ajst-15581	208	10	for	for	ADP
ajst-15581	208	11	the	the	DET
ajst-15581	208	12	intelligent	intelligent	ADJ
ajst-15581	208	13	identification	identification	NOUN
ajst-15581	208	14	of	of	ADP
ajst-15581	208	15	the	the	DET
ajst-15581	208	16	formation	formation	NOUN
ajst-15581	208	17	sub	sub	NOUN
ajst-15581	208	18	-	-	NOUN
ajst-15581	208	19	layer	layer	NOUN
ajst-15581	208	20	of	of	ADP
ajst-15581	208	21	the	the	DET
ajst-15581	208	22	logging	logging	NOUN
ajst-15581	208	23	while	while	SCONJ
ajst-15581	208	24	drilling	drill	VERB
ajst-15581	208	25	in	in	ADP
ajst-15581	208	26	this	this	DET
ajst-15581	208	27	block	block	NOUN
ajst-15581	208	28	.	.	PUNCT
ajst-15581	209	1	7	7	X
ajst-15581	209	2	.	.	X
ajst-15581	209	3	declaration	declaration	NOUN
ajst-15581	209	4	of	of	ADP
ajst-15581	209	5	competing	compete	VERB
ajst-15581	209	6	interest	interest	NOUN
ajst-15581	209	7	the	the	DET
ajst-15581	209	8	authors	author	NOUN
ajst-15581	209	9	declare	declare	VERB
ajst-15581	209	10	that	that	SCONJ
ajst-15581	209	11	they	they	PRON
ajst-15581	209	12	have	have	VERB
ajst-15581	209	13	no	no	DET
ajst-15581	209	14	known	know	VERB
ajst-15581	209	15	competing	compete	VERB
ajst-15581	209	16	financial	financial	ADJ
ajst-15581	209	17	interests	interest	NOUN
ajst-15581	209	18	or	or	CCONJ
ajst-15581	209	19	personal	personal	ADJ
ajst-15581	209	20	relationships	relationship	NOUN
ajst-15581	209	21	that	that	PRON
ajst-15581	209	22	could	could	AUX
ajst-15581	209	23	have	have	AUX
ajst-15581	209	24	appeared	appear	VERB
ajst-15581	209	25	to	to	PART
ajst-15581	209	26	influence	influence	VERB
ajst-15581	209	27	the	the	DET
ajst-15581	209	28	work	work	NOUN
ajst-15581	209	29	reported	report	VERB
ajst-15581	209	30	in	in	ADP
ajst-15581	209	31	this	this	DET
ajst-15581	209	32	paper	paper	NOUN
ajst-15581	209	33	.	.	PUNCT
ajst-15581	210	1	acknowledgment	acknowledgment	NOUN
ajst-15581	210	2	this	this	DET
ajst-15581	210	3	work	work	NOUN
ajst-15581	210	4	was	be	AUX
ajst-15581	210	5	supported	support	VERB
ajst-15581	210	6	by	by	ADP
ajst-15581	210	7	opening	open	VERB
ajst-15581	210	8	foundation	foundation	NOUN
ajst-15581	210	9	of	of	ADP
ajst-15581	210	10	agile	agile	ADJ
ajst-15581	210	11	and	and	CCONJ
ajst-15581	210	12	lntelligent	lntelligent	NOUN
ajst-15581	210	13	computing	compute	VERB
ajst-15581	210	14	key	key	ADJ
ajst-15581	210	15	laboratory	laboratory	NOUN
ajst-15581	210	16	of	of	ADP
ajst-15581	210	17	sichuan	sichuan	PROPN
ajst-15581	210	18	province	province	PROPN
ajst-15581	210	19	,	,	PUNCT
ajst-15581	210	20	china	china	PROPN
ajst-15581	210	21	(	(	PUNCT
ajst-15581	210	22	h23007	h23007	ADV
ajst-15581	210	23	)	)	PUNCT
ajst-15581	210	24	.	.	PUNCT
ajst-15581	211	1	we	we	PRON
ajst-15581	211	2	gratefully	gratefully	ADV
ajst-15581	211	3	acknowledge	acknowledge	VERB
ajst-15581	211	4	the	the	DET
ajst-15581	211	5	helpful	helpful	ADJ
ajst-15581	211	6	comments	comment	NOUN
ajst-15581	211	7	and	and	CCONJ
ajst-15581	211	8	suggestions	suggestion	NOUN
ajst-15581	211	9	of	of	ADP
ajst-15581	211	10	the	the	DET
ajst-15581	211	11	reviewers	reviewer	NOUN
ajst-15581	211	12	,	,	PUNCT
ajst-15581	211	13	which	which	PRON
ajst-15581	211	14	have	have	AUX
ajst-15581	211	15	improved	improve	VERB
ajst-15581	211	16	the	the	DET
ajst-15581	211	17	presentation	presentation	NOUN
ajst-15581	211	18	.	.	PUNCT
ajst-15581	212	1	references	reference	NOUN
ajst-15581	212	2	[	[	X
ajst-15581	212	3	1	1	NUM
ajst-15581	212	4	]	]	PUNCT
ajst-15581	212	5	shahab	shahab	PROPN
ajst-15581	212	6	mohaghegh	mohaghegh	PROPN
ajst-15581	212	7	,	,	PUNCT
ajst-15581	212	8	reza	reza	PROPN
ajst-15581	212	9	arefi	arefi	PROPN
ajst-15581	212	10	,	,	PUNCT
ajst-15581	212	11	sam	sam	PROPN
ajst-15581	212	12	ameri	ameri	PROPN
ajst-15581	212	13	,	,	PUNCT
ajst-15581	212	14	khashayar	khashayar	PROPN
ajst-15581	212	15	aminiand	aminiand	PROPN
ajst-15581	212	16	,	,	PUNCT
ajst-15581	212	17	roy	roy	PROPN
ajst-15581	212	18	nutter	nutter	PROPN
ajst-15581	212	19	.	.	PUNCT
ajst-15581	213	1	petroleum	petroleum	NOUN
ajst-15581	213	2	reservoir	reservoir	NOUN
ajst-15581	213	3	characterization	characterization	NOUN
ajst-15581	213	4	with	with	ADP
ajst-15581	213	5	the	the	DET
ajst-15581	213	6	aid	aid	NOUN
ajst-15581	213	7	of	of	ADP
ajst-15581	213	8	artificial	artificial	ADJ
ajst-15581	213	9	neural	neural	ADJ
ajst-15581	213	10	networks	network	NOUN
ajst-15581	214	1	[	[	X
ajst-15581	214	2	j	j	X
ajst-15581	214	3	]	]	X
ajst-15581	214	4	.	.	PUNCT
ajst-15581	215	1	journal	journal	PROPN
ajst-15581	215	2	of	of	ADP
ajst-15581	215	3	petroleum	petroleum	NOUN
ajst-15581	215	4	science	science	NOUN
ajst-15581	215	5	and	and	CCONJ
ajst-15581	215	6	engineering	engineering	NOUN
ajst-15581	215	7	,	,	PUNCT
ajst-15581	215	8	1996	1996	NUM
ajst-15581	215	9	,	,	PUNCT
ajst-15581	215	10	16(4	16(4	NUM
ajst-15581	215	11	)	)	PUNCT
ajst-15581	215	12	.	.	PUNCT
ajst-15581	216	1	[	[	X
ajst-15581	216	2	2	2	NUM
ajst-15581	216	3	]	]	PUNCT
ajst-15581	216	4	li	li	PROPN
ajst-15581	216	5	fengfeng	fengfeng	PROPN
ajst-15581	216	6	,	,	PUNCT
ajst-15581	216	7	guo	guo	PROPN
ajst-15581	216	8	rui	rui	PROPN
ajst-15581	216	9	,	,	PUNCT
ajst-15581	216	10	yu	yu	PROPN
ajst-15581	216	11	yichang	yichang	PROPN
ajst-15581	216	12	.	.	PUNCT
ajst-15581	217	1	progress	progress	NOUN
ajst-15581	217	2	and	and	CCONJ
ajst-15581	217	3	prospect	prospect	NOUN
ajst-15581	217	4	of	of	ADP
ajst-15581	217	5	sequence	sequence	NOUN
ajst-15581	217	6	stratigraphic	stratigraphic	ADJ
ajst-15581	217	7	division	division	NOUN
ajst-15581	217	8	method	method	NOUN
ajst-15581	218	1	[	[	X
ajst-15581	218	2	j	j	X
ajst-15581	218	3	]	]	X
ajst-15581	218	4	.	.	PUNCT
ajst-15581	219	1	geological	geological	ADJ
ajst-15581	219	2	science	science	NOUN
ajst-15581	219	3	and	and	CCONJ
ajst-15581	219	4	technology	technology	NOUN
ajst-15581	219	5	information	information	NOUN
ajst-15581	219	6	,	,	PUNCT
ajst-15581	219	7	2019	2019	NUM
ajst-15581	219	8	,	,	PUNCT
ajst-15581	219	9	38	38	NUM
ajst-15581	219	10	(	(	PUNCT
ajst-15581	219	11	04	04	NUM
ajst-15581	219	12	):	):	PUNCT
ajst-15581	219	13	215	215	NUM
ajst-15581	219	14	-	-	SYM
ajst-15581	219	15	224	224	NUM
ajst-15581	219	16	.	.	PUNCT
ajst-15581	220	1	doi	doi	NOUN
ajst-15581	220	2	:	:	PUNCT
ajst-15581	220	3	10.19509	10.19509	NUM
ajst-15581	220	4	/	/	SYM
ajst-15581	220	5	j.cnki.dzkq.2019	j.cnki.dzkq.2019	NOUN
ajst-15581	220	6	.	.	PUNCT
ajst-15581	221	1	0422	0422	NUM
ajst-15581	221	2	.	.	PUNCT
ajst-15581	222	1	[	[	X
ajst-15581	222	2	3	3	NUM
ajst-15581	222	3	]	]	X
ajst-15581	222	4	tang	tang	PROPN
ajst-15581	222	5	xie	xie	PROPN
ajst-15581	222	6	,	,	PUNCT
ajst-15581	222	7	tang	tang	PROPN
ajst-15581	222	8	jiaqiong	jiaqiong	PROPN
ajst-15581	222	9	,	,	PUNCT
ajst-15581	222	10	luo	luo	PROPN
ajst-15581	222	11	yuhai	yuhai	PROPN
ajst-15581	222	12	,	,	PUNCT
ajst-15581	222	13	deng	deng	PROPN
ajst-15581	222	14	yuerui	yuerui	PROPN
ajst-15581	222	15	,	,	PUNCT
ajst-15581	222	16	cui	cui	PROPN
ajst-15581	222	17	jian	jian	PROPN
ajst-15581	222	18	.	.	PROPN
ajst-15581	222	19	evaluation	evaluation	NOUN
ajst-15581	222	20	method	method	NOUN
ajst-15581	222	21	of	of	ADP
ajst-15581	222	22	horizontal	horizontal	ADJ
ajst-15581	222	23	well	well	ADV
ajst-15581	222	24	logging	logging	NOUN
ajst-15581	222	25	while	while	SCONJ
ajst-15581	222	26	drilling	drill	VERB
ajst-15581	222	27	in	in	ADP
ajst-15581	222	28	thin	thin	ADJ
ajst-15581	222	29	carbonate	carbonate	NOUN
ajst-15581	222	30	reservoir	reservoir	NOUN
ajst-15581	223	1	[	[	X
ajst-15581	223	2	j	j	X
ajst-15581	223	3	]	]	X
ajst-15581	223	4	.	.	PUNCT
ajst-15581	223	5	natural	natural	ADJ
ajst-15581	223	6	gas	gas	NOUN
ajst-15581	223	7	industry	industry	NOUN
ajst-15581	223	8	,	,	PUNCT
ajst-15581	223	9	2013	2013	NUM
ajst-15581	223	10	,	,	PUNCT
ajst-15581	223	11	33	33	NUM
ajst-15581	223	12	(	(	PUNCT
ajst-15581	223	13	09	09	NUM
ajst-15581	223	14	):	):	PUNCT
ajst-15581	223	15	43	43	NUM
ajst-15581	223	16	-	-	SYM
ajst-15581	223	17	47	47	NUM
ajst-15581	223	18	.	.	PUNCT
ajst-15581	224	1	[	[	X
ajst-15581	224	2	4	4	X
ajst-15581	224	3	]	]	X
ajst-15581	224	4	han	han	PROPN
ajst-15581	224	5	yonggang	yonggang	PROPN
ajst-15581	224	6	,	,	PUNCT
ajst-15581	224	7	feng	feng	PROPN
ajst-15581	224	8	zhaojian	zhaojian	PROPN
ajst-15581	224	9	,	,	PUNCT
ajst-15581	224	10	luo	luo	PROPN
ajst-15581	224	11	yongjun	yongjun	PROPN
ajst-15581	224	12	,	,	PUNCT
ajst-15581	224	13	zhang	zhang	PROPN
ajst-15581	224	14	hui	hui	PROPN
ajst-15581	224	15	,	,	PUNCT
ajst-15581	224	16	li	li	PROPN
ajst-15581	224	17	ping	ping	PROPN
ajst-15581	224	18	.	.	PUNCT
ajst-15581	225	1	application	application	NOUN
ajst-15581	225	2	of	of	ADP
ajst-15581	225	3	quantitative	quantitative	ADJ
ajst-15581	225	4	fluorescence	fluorescence	NOUN
ajst-15581	225	5	logging	log	VERB
ajst-15581	225	6	technology	technology	NOUN
ajst-15581	225	7	in	in	ADP
ajst-15581	225	8	hydrocarbon	hydrocarbon	NOUN
ajst-15581	225	9	reservoir	reservoir	NOUN
ajst-15581	225	10	classification	classification	NOUN
ajst-15581	225	11	[	[	X
ajst-15581	225	12	j	j	X
ajst-15581	225	13	]	]	X
ajst-15581	225	14	.	.	PUNCT
ajst-15581	225	15	natural	natural	ADJ
ajst-15581	225	16	gas	gas	NOUN
ajst-15581	225	17	industry	industry	NOUN
ajst-15581	225	18	,	,	PUNCT
ajst-15581	225	19	2007	2007	NUM
ajst-15581	225	20	(	(	PUNCT
ajst-15581	225	21	11	11	NUM
ajst-15581	225	22	):	):	PUNCT
ajst-15581	225	23	24	24	NUM
ajst-15581	225	24	-	-	SYM
ajst-15581	225	25	26	26	NUM
ajst-15581	225	26	+	+	NOUN
ajst-15581	225	27	131	131	NUM
ajst-15581	225	28	.	.	PUNCT
ajst-15581	226	1	[	[	X
ajst-15581	226	2	5	5	X
ajst-15581	226	3	]	]	PUNCT
ajst-15581	226	4	he	he	PRON
ajst-15581	226	5	ye	ye	PROPN
ajst-15581	226	6	,	,	PUNCT
ajst-15581	226	7	zhang	zhang	PROPN
ajst-15581	226	8	hanbing	hanbing	PROPN
ajst-15581	226	9	,	,	PUNCT
ajst-15581	226	10	zheng	zheng	PROPN
ajst-15581	226	11	ru	ru	PROPN
ajst-15581	226	12	,	,	PUNCT
ajst-15581	226	13	cui	cui	PROPN
ajst-15581	226	14	huan	huan	PROPN
ajst-15581	226	15	,	,	PUNCT
ajst-15581	226	16	niu	niu	PROPN
ajst-15581	226	17	wei	wei	PROPN
ajst-15581	226	18	,	,	PUNCT
ajst-15581	226	19	chen	chen	PROPN
ajst-15581	226	20	meijun	meijun	PROPN
ajst-15581	226	21	.	.	PUNCT
ajst-15581	227	1	shale	shale	PROPN
ajst-15581	227	2	gas	gas	PROPN
ajst-15581	227	3	horizontal	horizontal	PROPN
ajst-15581	227	4	well	well	ADV
ajst-15581	227	5	drilling	drilling	NOUN
ajst-15581	227	6	analysis	analysis	NOUN
ajst-15581	227	7	and	and	CCONJ
ajst-15581	227	8	reservoir	reservoir	NOUN
ajst-15581	227	9	evaluation	evaluation	NOUN
ajst-15581	227	10	parameter	parameter	NOUN
ajst-15581	227	11	calculation	calculation	NOUN
ajst-15581	227	12	based	base	VERB
ajst-15581	227	13	on	on	ADP
ajst-15581	227	14	element	element	NOUN
ajst-15581	227	15	logging	log	VERB
ajst-15581	227	16	[	[	X
ajst-15581	227	17	j	j	X
ajst-15581	227	18	]	]	X
ajst-15581	227	19	.	.	PUNCT
ajst-15581	228	1	natural	natural	ADJ
ajst-15581	228	2	gas	gas	NOUN
ajst-15581	228	3	industry	industry	NOUN
ajst-15581	228	4	,	,	PUNCT
ajst-15581	228	5	2021	2021	NUM
ajst-15581	228	6	,	,	PUNCT
ajst-15581	228	7	41	41	NUM
ajst-15581	228	8	(	(	PUNCT
ajst-15581	228	9	s1	s1	NOUN
ajst-15581	228	10	):	):	PUNCT
ajst-15581	228	11	110	110	NUM
ajst-15581	228	12	-	-	SYM
ajst-15581	228	13	117	117	NUM
ajst-15581	228	14	.	.	PUNCT
ajst-15581	229	1	[	[	X
ajst-15581	229	2	6	6	NUM
ajst-15581	229	3	]	]	X
ajst-15581	229	4	pedram	pedram	NOUN
ajst-15581	229	5	masoudi	masoudi	NOUN
ajst-15581	229	6	,	,	PUNCT
ajst-15581	229	7	bita	bita	PROPN
ajst-15581	229	8	arbab	arbab	PROPN
ajst-15581	229	9	,	,	PUNCT
ajst-15581	229	10	hossein	hossein	PROPN
ajst-15581	229	11	mohammadrezaei	mohammadrezaei	PROPN
ajst-15581	229	12	.	.	PUNCT
ajst-15581	230	1	net	net	ADJ
ajst-15581	230	2	pay	pay	NOUN
ajst-15581	230	3	determination	determination	NOUN
ajst-15581	230	4	by	by	ADP
ajst-15581	230	5	artificial	artificial	ADJ
ajst-15581	230	6	neural	neural	ADJ
ajst-15581	230	7	network	network	NOUN
ajst-15581	230	8	:	:	PUNCT
ajst-15581	230	9	case	case	NOUN
ajst-15581	230	10	study	study	NOUN
ajst-15581	230	11	on	on	ADP
ajst-15581	230	12	iranian	iranian	ADJ
ajst-15581	230	13	offshore	offshore	ADJ
ajst-15581	230	14	oil	oil	NOUN
ajst-15581	230	15	fields	field	NOUN
ajst-15581	231	1	[	[	X
ajst-15581	231	2	j	j	X
ajst-15581	231	3	]	]	X
ajst-15581	231	4	.	.	PUNCT
ajst-15581	232	1	journal	journal	PROPN
ajst-15581	232	2	of	of	ADP
ajst-15581	232	3	petroleum	petroleum	NOUN
ajst-15581	232	4	science	science	NOUN
ajst-15581	232	5	and	and	CCONJ
ajst-15581	232	6	engineering	engineering	NOUN
ajst-15581	232	7	,	,	PUNCT
ajst-15581	232	8	2014	2014	NUM
ajst-15581	232	9	,	,	PUNCT
ajst-15581	232	10	123	123	NUM
ajst-15581	232	11	.	.	PUNCT
ajst-15581	233	1	[	[	X
ajst-15581	233	2	7	7	X
ajst-15581	233	3	]	]	X
ajst-15581	233	4	ahmed	ahmed	PROPN
ajst-15581	233	5	ali	ali	PROPN
ajst-15581	233	6	zerrouki	zerrouki	PROPN
ajst-15581	233	7	,	,	PUNCT
ajst-15581	233	8	tahar	tahar	PROPN
ajst-15581	233	9	aïfa	aïfa	PROPN
ajst-15581	233	10	,	,	PUNCT
ajst-15581	233	11	kamel	kamel	PROPN
ajst-15581	233	12	baddari	baddari	PROPN
ajst-15581	233	13	.	.	PUNCT
ajst-15581	234	1	prediction	prediction	NOUN
ajst-15581	234	2	of	of	ADP
ajst-15581	234	3	natural	natural	ADJ
ajst-15581	234	4	fracture	fracture	NOUN
ajst-15581	234	5	porosity	porosity	NOUN
ajst-15581	234	6	from	from	ADP
ajst-15581	234	7	well	well	ADV
ajst-15581	234	8	log	log	PROPN
ajst-15581	234	9	data	datum	NOUN
ajst-15581	234	10	by	by	ADP
ajst-15581	234	11	means	mean	NOUN
ajst-15581	234	12	of	of	ADP
ajst-15581	234	13	fuzzy	fuzzy	ADJ
ajst-15581	234	14	ranking	ranking	NOUN
ajst-15581	234	15	and	and	CCONJ
ajst-15581	234	16	an	an	DET
ajst-15581	234	17	artificial	artificial	ADJ
ajst-15581	234	18	neural	neural	ADJ
ajst-15581	234	19	network	network	NOUN
ajst-15581	234	20	in	in	ADP
ajst-15581	234	21	hassi	hassi	PROPN
ajst-15581	234	22	messaoud	messaoud	PROPN
ajst-15581	234	23	oil	oil	NOUN
ajst-15581	234	24	field	field	NOUN
ajst-15581	234	25	,	,	PUNCT
ajst-15581	234	26	algeria	algeria	PROPN
ajst-15581	235	1	[	[	X
ajst-15581	235	2	j	j	X
ajst-15581	235	3	]	]	X
ajst-15581	235	4	.	.	PUNCT
ajst-15581	236	1	journal	journal	PROPN
ajst-15581	236	2	of	of	ADP
ajst-15581	236	3	petroleum	petroleum	NOUN
ajst-15581	236	4	science	science	NOUN
ajst-15581	236	5	and	and	CCONJ
ajst-15581	236	6	engineering	engineering	NOUN
ajst-15581	236	7	,	,	PUNCT
ajst-15581	236	8	2014	2014	NUM
ajst-15581	236	9	,	,	PUNCT
ajst-15581	236	10	115	115	NUM
ajst-15581	236	11	.	.	PUNCT
ajst-15581	237	1	[	[	X
ajst-15581	237	2	8	8	NUM
ajst-15581	237	3	]	]	X
ajst-15581	237	4	baijie	baijie	PROPN
ajst-15581	237	5	wang	wang	PROPN
ajst-15581	237	6	,	,	PUNCT
ajst-15581	237	7	xin	xin	PROPN
ajst-15581	237	8	wang	wang	PROPN
ajst-15581	237	9	,	,	PUNCT
ajst-15581	237	10	zhangxin	zhangxin	PROPN
ajst-15581	237	11	chen	chen	PROPN
ajst-15581	237	12	.	.	PUNCT
ajst-15581	238	1	a	a	DET
ajst-15581	238	2	hybrid	hybrid	ADJ
ajst-15581	238	3	framework	framework	NOUN
ajst-15581	238	4	for	for	ADP
ajst-15581	238	5	reservoir	reservoir	NOUN
ajst-15581	238	6	characterization	characterization	NOUN
ajst-15581	238	7	using	use	VERB
ajst-15581	238	8	fuzzy	fuzzy	ADJ
ajst-15581	238	9	ranking	ranking	NOUN
ajst-15581	238	10	and	and	CCONJ
ajst-15581	238	11	an	an	DET
ajst-15581	238	12	artificial	artificial	ADJ
ajst-15581	238	13	neural	neural	ADJ
ajst-15581	238	14	network	network	NOUN
ajst-15581	238	15	[	[	X
ajst-15581	238	16	j	j	X
ajst-15581	238	17	]	]	X
ajst-15581	238	18	.	.	PUNCT
ajst-15581	239	1	computers	computer	NOUN
ajst-15581	239	2	and	and	CCONJ
ajst-15581	239	3	geosciences	geoscience	NOUN
ajst-15581	239	4	,	,	PUNCT
ajst-15581	239	5	2013	2013	NUM
ajst-15581	239	6	,	,	PUNCT
ajst-15581	239	7	57	57	NUM
ajst-15581	239	8	.	.	PUNCT
ajst-15581	240	1	[	[	X
ajst-15581	240	2	9	9	NUM
ajst-15581	240	3	]	]	PUNCT
ajst-15581	240	4	réda	réda	PROPN
ajst-15581	240	5	samy	samy	PROPN
ajst-15581	240	6	zazoun	zazoun	PROPN
ajst-15581	240	7	.	.	PUNCT
ajst-15581	241	1	fracture	fracture	NOUN
ajst-15581	241	2	density	density	NOUN
ajst-15581	241	3	estimation	estimation	NOUN
ajst-15581	241	4	from	from	ADP
ajst-15581	241	5	core	core	NOUN
ajst-15581	241	6	and	and	CCONJ
ajst-15581	241	7	conventional	conventional	ADJ
ajst-15581	241	8	well	well	NOUN
ajst-15581	241	9	logs	log	NOUN
ajst-15581	241	10	data	datum	NOUN
ajst-15581	241	11	using	use	VERB
ajst-15581	241	12	artificial	artificial	ADJ
ajst-15581	241	13	neural	neural	ADJ
ajst-15581	241	14	networks	network	NOUN
ajst-15581	241	15	:	:	PUNCT
ajst-15581	241	16	the	the	DET
ajst-15581	241	17	cambro	cambro	PROPN
ajst-15581	241	18	-	-	PUNCT
ajst-15581	241	19	ordovician	ordovician	PROPN
ajst-15581	241	20	reservoir	reservoir	NOUN
ajst-15581	241	21	of	of	ADP
ajst-15581	241	22	mesdar	mesdar	PROPN
ajst-15581	241	23	oil	oil	NOUN
ajst-15581	241	24	field	field	NOUN
ajst-15581	241	25	,	,	PUNCT
ajst-15581	241	26	algeria	algeria	PROPN
ajst-15581	242	1	[	[	X
ajst-15581	242	2	j	j	X
ajst-15581	242	3	]	]	X
ajst-15581	242	4	.	.	PUNCT
ajst-15581	243	1	journal	journal	PROPN
ajst-15581	243	2	of	of	ADP
ajst-15581	243	3	african	african	ADJ
ajst-15581	243	4	earth	earth	NOUN
ajst-15581	243	5	sciences	science	NOUN
ajst-15581	243	6	,	,	PUNCT
ajst-15581	243	7	2013	2013	NUM
ajst-15581	243	8	,	,	PUNCT
ajst-15581	243	9	83	83	NUM
ajst-15581	243	10	.	.	PUNCT
ajst-15581	244	1	[	[	X
ajst-15581	244	2	10	10	NUM
ajst-15581	244	3	]	]	X
ajst-15581	244	4	yunxin	yunxin	PROPN
ajst-15581	244	5	xie	xie	PROPN
ajst-15581	244	6	,	,	PUNCT
ajst-15581	244	7	chenyang	chenyang	PROPN
ajst-15581	244	8	zhu	zhu	PROPN
ajst-15581	244	9	,	,	PUNCT
ajst-15581	244	10	wen	wen	PROPN
ajst-15581	244	11	zhou	zhou	PROPN
ajst-15581	244	12	,	,	PUNCT
ajst-15581	244	13	zhongdong	zhongdong	PROPN
ajst-15581	244	14	li	li	PROPN
ajst-15581	244	15	,	,	PUNCT
ajst-15581	244	16	xuan	xuan	PROPN
ajst-15581	244	17	liu	liu	PROPN
ajst-15581	244	18	,	,	PUNCT
ajst-15581	244	19	mei	mei	PROPN
ajst-15581	244	20	tu	tu	PROPN
ajst-15581	244	21	.	.	PUNCT
ajst-15581	244	22	evaluation	evaluation	NOUN
ajst-15581	244	23	of	of	ADP
ajst-15581	244	24	machine	machine	NOUN
ajst-15581	244	25	learning	learning	NOUN
ajst-15581	244	26	methods	method	NOUN
ajst-15581	244	27	for	for	ADP
ajst-15581	244	28	stratum	stratum	NOUN
ajst-15581	244	29	lithology	lithology	NOUN
ajst-15581	244	30	identification	identification	NOUN
ajst-15581	244	31	:	:	PUNCT
ajst-15581	244	32	a	a	DET
ajst-15581	244	33	comparison	comparison	NOUN
ajst-15581	244	34	of	of	ADP
ajst-15581	244	35	tuning	tune	VERB
ajst-15581	244	36	processes	process	NOUN
ajst-15581	244	37	and	and	CCONJ
ajst-15581	244	38	model	model	NOUN
ajst-15581	244	39	performances[j	performances[j	PROPN
ajst-15581	244	40	]	]	PUNCT
ajst-15581	244	41	.	.	PUNCT
ajst-15581	245	1	journal	journal	PROPN
ajst-15581	245	2	of	of	ADP
ajst-15581	245	3	petroleum	petroleum	NOUN
ajst-15581	245	4	science	science	NOUN
ajst-15581	245	5	and	and	CCONJ
ajst-15581	245	6	engineering	engineering	NOUN
ajst-15581	245	7	,	,	PUNCT
ajst-15581	245	8	2018	2018	NUM
ajst-15581	245	9	,	,	PUNCT
ajst-15581	245	10	160	160	NUM
ajst-15581	245	11	.	.	PUNCT
ajst-15581	246	1	[	[	X
ajst-15581	246	2	11	11	NUM
ajst-15581	246	3	]	]	X
ajst-15581	246	4	zhang	zhang	PROPN
ajst-15581	246	5	h	h	PROPN
ajst-15581	246	6	,	,	PUNCT
ajst-15581	246	7	chen	chen	PROPN
ajst-15581	246	8	q	q	PROPN
ajst-15581	246	9	,	,	PUNCT
ajst-15581	246	10	ni	ni	PROPN
ajst-15581	246	11	p	p	PROPN
ajst-15581	246	12	,	,	PUNCT
ajst-15581	246	13	et	et	PROPN
ajst-15581	246	14	al	al	PROPN
ajst-15581	246	15	.	.	PROPN
ajst-15581	246	16	study	study	NOUN
ajst-15581	246	17	on	on	ADP
ajst-15581	246	18	the	the	DET
ajst-15581	246	19	intelligent	intelligent	ADJ
ajst-15581	246	20	identification	identification	NOUN
ajst-15581	246	21	method	method	NOUN
ajst-15581	246	22	of	of	ADP
ajst-15581	246	23	stratum	stratum	NOUN
ajst-15581	246	24	lithology	lithology	NOUN
ajst-15581	246	25	by	by	ADP
ajst-15581	246	26	element	element	NOUN
ajst-15581	246	27	and	and	CCONJ
ajst-15581	246	28	gamma	gamma	PROPN
ajst-15581	246	29	spectrum[j	spectrum[j	PROPN
ajst-15581	246	30	]	]	PUNCT
ajst-15581	246	31	.	.	PUNCT
ajst-15581	247	1	neural	neural	ADJ
ajst-15581	247	2	computing	computing	NOUN
ajst-15581	247	3	and	and	CCONJ
ajst-15581	247	4	applications	application	NOUN
ajst-15581	247	5	,	,	PUNCT
ajst-15581	247	6	2021:1	2021:1	NUM
ajst-15581	247	7	-	-	SYM
ajst-15581	247	8	9	9	NUM
ajst-15581	247	9	.	.	PUNCT
ajst-15581	248	1	[	[	X
ajst-15581	248	2	12	12	NUM
ajst-15581	248	3	]	]	X
ajst-15581	248	4	zhou	zhou	PROPN
ajst-15581	248	5	jinhui	jinhui	PROPN
ajst-15581	248	6	,	,	PUNCT
ajst-15581	248	7	yan	yan	PROPN
ajst-15581	248	8	taining	taining	NOUN
ajst-15581	248	9	,	,	PUNCT
ajst-15581	248	10	tu	tu	PROPN
ajst-15581	248	11	houze	houze	PROPN
ajst-15581	248	12	.	.	PUNCT
ajst-15581	249	1	application	application	NOUN
ajst-15581	249	2	of	of	ADP
ajst-15581	249	3	artificial	artificial	ADJ
ajst-15581	249	4	neural	neural	ADJ
ajst-15581	249	5	network	network	NOUN
ajst-15581	249	6	method	method	NOUN
ajst-15581	249	7	to	to	PART
ajst-15581	249	8	identify	identify	VERB
ajst-15581	249	9	drilled	drill	VERB
ajst-15581	249	10	strata	strata	NOUN
ajst-15581	250	1	[	[	X
ajst-15581	250	2	j	j	X
ajst-15581	250	3	]	]	X
ajst-15581	250	4	.	.	PUNCT
ajst-15581	251	1	geoscience	geoscience	NOUN
ajst-15581	251	2	,	,	PUNCT
ajst-15581	251	3	2000	2000	NUM
ajst-15581	251	4	(	(	PUNCT
ajst-15581	251	5	06	06	NUM
ajst-15581	251	6	):	):	PUNCT
ajst-15581	251	7	642	642	NUM
ajst-15581	251	8	-	-	SYM
ajst-15581	251	9	646	646	NUM
ajst-15581	251	10	.	.	PUNCT
ajst-15581	252	1	[	[	X
ajst-15581	252	2	13	13	NUM
ajst-15581	252	3	]	]	PUNCT
ajst-15581	252	4	xia	xia	PROPN
ajst-15581	252	5	hongquan	hongquan	PROPN
ajst-15581	252	6	,	,	PUNCT
ajst-15581	252	7	chen	chen	PROPN
ajst-15581	252	8	ping	ping	PROPN
ajst-15581	252	9	,	,	PUNCT
ajst-15581	252	10	shi	shi	PROPN
ajst-15581	252	11	xiaobing	xiaobing	PROPN
ajst-15581	252	12	,	,	PUNCT
ajst-15581	252	13	zhang	zhang	PROPN
ajst-15581	252	14	xianhui	xianhui	PROPN
ajst-15581	252	15	,	,	PUNCT
ajst-15581	252	16	fan	fan	PROPN
ajst-15581	252	17	xiangyu	xiangyu	PROPN
ajst-15581	252	18	.	.	PUNCT
ajst-15581	253	1	real	real	ADJ
ajst-15581	253	2	-	-	PUNCT
ajst-15581	253	3	time	time	NOUN
ajst-15581	253	4	identification	identification	NOUN
ajst-15581	253	5	method	method	NOUN
ajst-15581	253	6	of	of	ADP
ajst-15581	253	7	stratum	stratum	NOUN
ajst-15581	253	8	lithology	lithology	NOUN
ajst-15581	253	9	based	base	VERB
ajst-15581	253	10	on	on	ADP
ajst-15581	253	11	drilling	drill	VERB
ajst-15581	253	12	data	datum	NOUN
ajst-15581	254	1	[	[	X
ajst-15581	254	2	j	j	X
ajst-15581	254	3	]	]	X
ajst-15581	254	4	.	.	PUNCT
ajst-15581	255	1	journal	journal	PROPN
ajst-15581	255	2	of	of	ADP
ajst-15581	255	3	petroleum	petroleum	NOUN
ajst-15581	255	4	,	,	PUNCT
ajst-15581	255	5	2004	2004	NUM
ajst-15581	255	6	(	(	PUNCT
ajst-15581	255	7	02	02	NUM
ajst-15581	255	8	):	):	PUNCT
ajst-15581	255	9	5154	5154	NUM
ajst-15581	255	10	.	.	PUNCT
ajst-15581	256	1	[	[	X
ajst-15581	256	2	14	14	NUM
ajst-15581	256	3	]	]	X
ajst-15581	256	4	yang	yang	PROPN
ajst-15581	256	5	sitong	sitong	PROPN
ajst-15581	256	6	,	,	PUNCT
ajst-15581	256	7	sun	sun	PROPN
ajst-15581	256	8	jianmeng	jianmeng	PROPN
ajst-15581	256	9	,	,	PUNCT
ajst-15581	256	10	ma	ma	PROPN
ajst-15581	256	11	jianhai	jianhai	PROPN
ajst-15581	256	12	,	,	PUNCT
ajst-15581	256	13	huan	huan	PROPN
ajst-15581	256	14	guanghui	guanghui	PROPN
ajst-15581	256	15	.	.	PUNCT
ajst-15581	256	16	oil	oil	NOUN
ajst-15581	256	17	and	and	CCONJ
ajst-15581	256	18	gas	gas	NOUN
ajst-15581	256	19	identification	identification	NOUN
ajst-15581	256	20	method	method	NOUN
ajst-15581	256	21	for	for	ADP
ajst-15581	256	22	logging	log	VERB
ajst-15581	256	23	data	datum	NOUN
ajst-15581	256	24	of	of	ADP
ajst-15581	256	25	low	low	ADJ
ajst-15581	256	26	porosity	porosity	NOUN
ajst-15581	256	27	and	and	CCONJ
ajst-15581	256	28	low	low	ADJ
ajst-15581	256	29	permeability	permeability	NOUN
ajst-15581	256	30	reservoirs	reservoir	NOUN
ajst-15581	256	31	[	[	X
ajst-15581	256	32	j	j	X
ajst-15581	256	33	]	]	X
ajst-15581	256	34	.	.	PUNCT
ajst-15581	257	1	petroleum	petroleum	NOUN
ajst-15581	257	2	and	and	CCONJ
ajst-15581	257	3	natural	natural	ADJ
ajst-15581	257	4	gas	gas	NOUN
ajst-15581	257	5	geology	geology	NOUN
ajst-15581	257	6	,	,	PUNCT
ajst-15581	257	7	2007	2007	NUM
ajst-15581	257	8	(	(	PUNCT
ajst-15581	257	9	03	03	NUM
ajst-15581	257	10	):	):	PUNCT
ajst-15581	257	11	407	407	NUM
ajst-15581	257	12	-	-	SYM
ajst-15581	257	13	412.2	412.2	NUM
ajst-15581	257	14	.	.	PUNCT
ajst-15581	258	1	[	[	X
ajst-15581	258	2	15	15	NUM
ajst-15581	258	3	]	]	X
ajst-15581	258	4	m.	m.	NOUN
ajst-15581	258	5	a.	a.	NOUN
ajst-15581	258	6	sebtosheikh	sebtosheikh	PROPN
ajst-15581	258	7	,	,	PUNCT
ajst-15581	258	8	r.	r.	PROPN
ajst-15581	258	9	motafakkerfard	motafakkerfard	PROPN
ajst-15581	258	10	,	,	PUNCT
ajst-15581	258	11	m.	m.	NOUN
ajst-15581	258	12	a.	a.	NOUN
ajst-15581	258	13	riahi	riahi	PROPN
ajst-15581	258	14	,	,	PUNCT
ajst-15581	258	15	s.	s.	PROPN
ajst-15581	258	16	moradi	moradi	PROPN
ajst-15581	258	17	,	,	PUNCT
ajst-15581	258	18	n.	n.	PROPN
ajst-15581	258	19	sabety	sabety	NOUN
ajst-15581	258	20	.	.	PUNCT
ajst-15581	259	1	support	support	NOUN
ajst-15581	259	2	vector	vector	NOUN
ajst-15581	259	3	machine	machine	NOUN
ajst-15581	259	4	method	method	NOUN
ajst-15581	259	5	,	,	PUNCT
ajst-15581	259	6	a	a	DET
ajst-15581	259	7	new	new	ADJ
ajst-15581	259	8	technique	technique	NOUN
ajst-15581	259	9	for	for	ADP
ajst-15581	259	10	lithology	lithology	NOUN
ajst-15581	259	11	prediction	prediction	NOUN
ajst-15581	259	12	in	in	ADP
ajst-15581	259	13	an	an	DET
ajst-15581	259	14	iranian	iranian	ADJ
ajst-15581	259	15	heterogeneous	heterogeneous	ADJ
ajst-15581	259	16	carbonate	carbonate	NOUN
ajst-15581	259	17	reservoir	reservoir	NOUN
ajst-15581	259	18	using	use	VERB
ajst-15581	259	19	petrophysical	petrophysical	ADJ
ajst-15581	259	20	well	well	ADV
ajst-15581	259	21	logs	log	NOUN
ajst-15581	260	1	[	[	X
ajst-15581	261	1	j	j	X
ajst-15581	261	2	]	]	X
ajst-15581	261	3	.	.	PUNCT
ajst-15581	262	1	carbonates	carbonate	NOUN
ajst-15581	262	2	and	and	CCONJ
ajst-15581	262	3	evaporites	evaporite	NOUN
ajst-15581	262	4	,	,	PUNCT
ajst-15581	262	5	2015	2015	NUM
ajst-15581	262	6	,	,	PUNCT
ajst-15581	262	7	30(1	30(1	NUM
ajst-15581	262	8	)	)	PUNCT
ajst-15581	262	9	.	.	PUNCT
ajst-15581	263	1	[	[	X
ajst-15581	263	2	16	16	NUM
ajst-15581	263	3	]	]	PUNCT
ajst-15581	263	4	shaoqun	shaoqun	PROPN
ajst-15581	263	5	dong	dong	PROPN
ajst-15581	263	6	,	,	PUNCT
ajst-15581	263	7	zhizhang	zhizhang	PROPN
ajst-15581	263	8	wang	wang	PROPN
ajst-15581	263	9	,	,	PUNCT
ajst-15581	263	10	lianbo	lianbo	PROPN
ajst-15581	263	11	zeng	zeng	PROPN
ajst-15581	263	12	.	.	PUNCT
ajst-15581	264	1	lithology	lithology	NOUN
ajst-15581	264	2	identification	identification	NOUN
ajst-15581	264	3	using	use	VERB
ajst-15581	264	4	kernel	kernel	PROPN
ajst-15581	264	5	fisher	fisher	PROPN
ajst-15581	264	6	discriminant	discriminant	VERB
ajst-15581	264	7	analysis	analysis	NOUN
ajst-15581	264	8	with	with	ADP
ajst-15581	264	9	well	well	ADV
ajst-15581	264	10	logs	log	NOUN
ajst-15581	265	1	[	[	X
ajst-15581	265	2	j	j	X
ajst-15581	265	3	]	]	X
ajst-15581	265	4	.	.	PUNCT
ajst-15581	266	1	journal	journal	PROPN
ajst-15581	266	2	of	of	ADP
ajst-15581	266	3	petroleum	petroleum	NOUN
ajst-15581	266	4	science	science	NOUN
ajst-15581	266	5	and	and	CCONJ
ajst-15581	266	6	engineering	engineering	NOUN
ajst-15581	266	7	,	,	PUNCT
ajst-15581	266	8	2016	2016	NUM
ajst-15581	266	9	,	,	PUNCT
ajst-15581	266	10	143	143	NUM
ajst-15581	266	11	.	.	PUNCT
ajst-15581	267	1	[	[	X
ajst-15581	267	2	17	17	NUM
ajst-15581	267	3	]	]	PUNCT
ajst-15581	267	4	fengqi	fengqi	PROPN
ajst-15581	267	5	tan	tan	PROPN
ajst-15581	267	6	,	,	PUNCT
ajst-15581	267	7	gang	gang	PROPN
ajst-15581	267	8	luo	luo	PROPN
ajst-15581	267	9	,	,	PUNCT
ajst-15581	267	10	duojun	duojun	PROPN
ajst-15581	267	11	wang	wang	PROPN
ajst-15581	267	12	,	,	PUNCT
ajst-15581	267	13	yangkang	yangkang	PROPN
ajst-15581	267	14	chen	chen	PROPN
ajst-15581	267	15	.	.	PUNCT
ajst-15581	268	1	evaluation	evaluation	NOUN
ajst-15581	268	2	of	of	ADP
ajst-15581	268	3	complex	complex	ADJ
ajst-15581	268	4	petroleum	petroleum	NOUN
ajst-15581	268	5	reservoirs	reservoir	NOUN
ajst-15581	268	6	based	base	VERB
ajst-15581	268	7	on	on	ADP
ajst-15581	268	8	data	datum	NOUN
ajst-15581	268	9	mining	mining	NOUN
ajst-15581	268	10	methods[j	methods[j	PROPN
ajst-15581	268	11	]	]	PUNCT
ajst-15581	268	12	.	.	PUNCT
ajst-15581	269	1	computational	computational	ADJ
ajst-15581	269	2	geosciences,2017,21(1	geosciences,2017,21(1	NOUN
ajst-15581	269	3	)	)	PUNCT
ajst-15581	269	4	.	.	PUNCT
ajst-15581	270	1	[	[	X
ajst-15581	270	2	18	18	NUM
ajst-15581	270	3	]	]	PUNCT
ajst-15581	270	4	tianqi	tianqi	NOUN
ajst-15581	270	5	chen	chen	PROPN
ajst-15581	270	6	and	and	CCONJ
ajst-15581	270	7	carlos	carlos	PROPN
ajst-15581	270	8	guestrin	guestrin	PROPN
ajst-15581	270	9	.	.	PUNCT
ajst-15581	271	1	xgboost	xgboost	X
ajst-15581	271	2	:	:	PUNCT
ajst-15581	272	1	a	a	DET
ajst-15581	272	2	scalable	scalable	ADJ
ajst-15581	272	3	tree	tree	NOUN
ajst-15581	272	4	boosting	boost	VERB
ajst-15581	272	5	system	system	NOUN
ajst-15581	272	6	.	.	PUNCT
ajst-15581	273	1	in	in	ADP
ajst-15581	273	2	proceedings	proceeding	NOUN
ajst-15581	273	3	of	of	ADP
ajst-15581	273	4	the	the	DET
ajst-15581	273	5	22nd	22nd	PROPN
ajst-15581	273	6	acm	acm	PROPN
ajst-15581	273	7	sigkdd	sigkdd	VERB
ajst-15581	273	8	127	127	NUM
ajst-15581	273	9	international	international	ADJ
ajst-15581	273	10	conference	conference	NOUN
ajst-15581	273	11	on	on	ADP
ajst-15581	273	12	knowledge	knowledge	NOUN
ajst-15581	273	13	discovery	discovery	PROPN
ajst-15581	273	14	and	and	CCONJ
ajst-15581	273	15	data	datum	NOUN
ajst-15581	273	16	mining	mining	NOUN
ajst-15581	273	17	(	(	PUNCT
ajst-15581	273	18	kdd	kdd	PROPN
ajst-15581	273	19	'	'	PROPN
ajst-15581	273	20	16	16	NUM
ajst-15581	273	21	)	)	PUNCT
ajst-15581	273	22	.	.	PUNCT
ajst-15581	274	1	association	association	NOUN
ajst-15581	274	2	for	for	ADP
ajst-15581	274	3	computing	compute	VERB
ajst-15581	274	4	machinery	machinery	NOUN
ajst-15581	274	5	,	,	PUNCT
ajst-15581	274	6	new	new	PROPN
ajst-15581	274	7	york	york	PROPN
ajst-15581	274	8	,	,	PUNCT
ajst-15581	274	9	ny	ny	PROPN
ajst-15581	274	10	,	,	PUNCT
ajst-15581	274	11	usa	usa	PROPN
ajst-15581	274	12	,	,	PUNCT
ajst-15581	274	13	2016	2016	NUM
ajst-15581	274	14	:	:	PUNCT
ajst-15581	274	15	785–794	785–794	NUM
ajst-15581	274	16	.	.	PUNCT
ajst-15581	275	1	[	[	X
ajst-15581	275	2	19	19	NUM
ajst-15581	275	3	]	]	PUNCT
ajst-15581	275	4	vikrant	vikrant	PROPN
ajst-15581	275	5	a.	a.	PROPN
ajst-15581	275	6	dev	dev	PROPN
ajst-15581	275	7	,	,	PUNCT
ajst-15581	275	8	mario	mario	PROPN
ajst-15581	275	9	r.	r.	PROPN
ajst-15581	275	10	eden	eden	PROPN
ajst-15581	275	11	.	.	PUNCT
ajst-15581	276	1	stratum	stratum	PROPN
ajst-15581	276	2	lithology	lithology	NOUN
ajst-15581	276	3	classification	classification	NOUN
ajst-15581	276	4	using	use	VERB
ajst-15581	276	5	scalable	scalable	ADJ
ajst-15581	276	6	gradient	gradient	NOUN
ajst-15581	276	7	boosted	boost	VERB
ajst-15581	276	8	decision	decision	NOUN
ajst-15581	276	9	trees	tree	NOUN
ajst-15581	277	1	[	[	X
ajst-15581	277	2	j	j	X
ajst-15581	277	3	]	]	X
ajst-15581	277	4	.	.	PUNCT
ajst-15581	278	1	computers	computer	NOUN
ajst-15581	278	2	and	and	CCONJ
ajst-15581	278	3	chemical	chemical	NOUN
ajst-15581	278	4	engineering	engineering	NOUN
ajst-15581	278	5	,	,	PUNCT
ajst-15581	278	6	2019	2019	NUM
ajst-15581	278	7	,	,	PUNCT
ajst-15581	278	8	128	128	NUM
ajst-15581	278	9	.	.	PUNCT
ajst-15581	279	1	[	[	X
ajst-15581	279	2	20	20	NUM
ajst-15581	279	3	]	]	PUNCT
ajst-15581	279	4	zhixue	zhixue	NOUN
ajst-15581	279	5	sun	sun	NOUN
ajst-15581	279	6	,	,	PUNCT
ajst-15581	279	7	baosheng	baosheng	PROPN
ajst-15581	279	8	jiang	jiang	PROPN
ajst-15581	279	9	,	,	PUNCT
ajst-15581	279	10	xiangling	xiangling	PROPN
ajst-15581	279	11	li	li	PROPN
ajst-15581	279	12	,	,	PUNCT
ajst-15581	279	13	jikang	jikang	PROPN
ajst-15581	279	14	li	li	PROPN
ajst-15581	279	15	,	,	PUNCT
ajst-15581	279	16	kang	kang	PROPN
ajst-15581	279	17	xiao	xiao	PROPN
ajst-15581	279	18	.	.	PUNCT
ajst-15581	280	1	a	a	DET
ajst-15581	280	2	data	data	NOUN
ajst-15581	280	3	-	-	PUNCT
ajst-15581	280	4	driven	drive	VERB
ajst-15581	280	5	approach	approach	NOUN
ajst-15581	280	6	for	for	ADP
ajst-15581	280	7	lithology	lithology	NOUN
ajst-15581	280	8	identification	identification	NOUN
ajst-15581	280	9	based	base	VERB
ajst-15581	280	10	on	on	ADP
ajst-15581	280	11	parameter	parameter	NOUN
ajst-15581	280	12	-	-	PUNCT
ajst-15581	280	13	optimized	optimize	VERB
ajst-15581	280	14	ensemble	ensemble	ADJ
ajst-15581	280	15	learning	learning	NOUN
ajst-15581	280	16	[	[	X
ajst-15581	280	17	j	j	X
ajst-15581	280	18	]	]	X
ajst-15581	280	19	.	.	PUNCT
ajst-15581	281	1	energies	energy	NOUN
ajst-15581	281	2	,	,	PUNCT
ajst-15581	281	3	2020	2020	NUM
ajst-15581	281	4	,	,	PUNCT
ajst-15581	281	5	13(15	13(15	NUM
ajst-15581	281	6	)	)	PUNCT
ajst-15581	281	7	.	.	PUNCT
ajst-15581	282	1	[	[	X
ajst-15581	282	2	21	21	NUM
ajst-15581	282	3	]	]	X
ajst-15581	282	4	gu	gu	X
ajst-15581	282	5	yufeng	yufeng	PROPN
ajst-15581	282	6	,	,	PUNCT
ajst-15581	282	7	zhang	zhang	PROPN
ajst-15581	282	8	daoyong	daoyong	PROPN
ajst-15581	282	9	,	,	PUNCT
ajst-15581	282	10	bao	bao	PROPN
ajst-15581	282	11	zhidong	zhidong	PROPN
ajst-15581	282	12	,	,	PUNCT
ajst-15581	282	13	guo	guo	PROPN
ajst-15581	282	14	haixiao	haixiao	PROPN
ajst-15581	282	15	,	,	PUNCT
ajst-15581	282	16	zhou	zhou	PROPN
ajst-15581	282	17	liming	liming	NOUN
ajst-15581	282	18	,	,	PUNCT
ajst-15581	282	19	ren	ren	PROPN
ajst-15581	282	20	jihong	jihong	NOUN
ajst-15581	282	21	.	.	PUNCT
ajst-15581	283	1	using	use	VERB
ajst-15581	283	2	gs	gs	NOUN
ajst-15581	283	3	-	-	PUNCT
ajst-15581	283	4	lightgbm	lightgbm	ADJ
ajst-15581	283	5	machine	machine	NOUN
ajst-15581	283	6	learning	learn	VERB
ajst-15581	283	7	model	model	NOUN
ajst-15581	283	8	to	to	PART
ajst-15581	283	9	identify	identify	VERB
ajst-15581	283	10	the	the	DET
ajst-15581	283	11	lithology	lithology	NOUN
ajst-15581	283	12	of	of	ADP
ajst-15581	283	13	tight	tight	ADJ
ajst-15581	283	14	sandstone	sandstone	NOUN
ajst-15581	283	15	stratum	stratum	NOUN
ajst-15581	284	1	[	[	X
ajst-15581	284	2	j	j	X
ajst-15581	284	3	]	]	X
ajst-15581	284	4	.	.	PUNCT
ajst-15581	285	1	geological	geological	ADJ
ajst-15581	285	2	science	science	NOUN
ajst-15581	285	3	and	and	CCONJ
ajst-15581	285	4	technology	technology	NOUN
ajst-15581	285	5	bulletin	bulletin	NOUN
ajst-15581	285	6	,	,	PUNCT
ajst-15581	285	7	2021	2021	NUM
ajst-15581	285	8	,	,	PUNCT
ajst-15581	285	9	40	40	NUM
ajst-15581	285	10	(	(	PUNCT
ajst-15581	285	11	04	04	NUM
ajst-15581	285	12	):	):	PUNCT
ajst-15581	285	13	224	224	NUM
ajst-15581	285	14	-	-	SYM
ajst-15581	285	15	234	234	NUM
ajst-15581	285	16	.	.	PUNCT
ajst-15581	286	1	doi	doi	NOUN
ajst-15581	286	2	:	:	PUNCT
ajst-15581	286	3	10.19509	10.19509	NUM
ajst-15581	286	4	/	/	SYM
ajst-15581	286	5	j.cnki.dzkq.2021.0416	j.cnki.dzkq.2021.0416	X
ajst-15581	286	6	.	.	PUNCT
ajst-15581	287	1	[	[	X
ajst-15581	287	2	22	22	NUM
ajst-15581	287	3	]	]	PUNCT
ajst-15581	287	4	qi	qi	PROPN
ajst-15581	287	5	m.	m.	NOUN
ajst-15581	287	6	lightgbm	lightgbm	VERB
ajst-15581	287	7	:	:	PUNCT
ajst-15581	287	8	a	a	DET
ajst-15581	287	9	highly	highly	ADV
ajst-15581	287	10	efficient	efficient	ADJ
ajst-15581	287	11	gradient	gradient	NOUN
ajst-15581	287	12	boosting	boost	VERB
ajst-15581	287	13	decision	decision	NOUN
ajst-15581	287	14	tree[c]//	tree[c]//	PROPN
ajst-15581	287	15	neural	neural	ADJ
ajst-15581	287	16	information	information	NOUN
ajst-15581	287	17	processing	processing	NOUN
ajst-15581	287	18	systems	system	NOUN
ajst-15581	287	19	.	.	PUNCT
ajst-15581	288	1	curran	curran	PROPN
ajst-15581	288	2	associates	associates	PROPN
ajst-15581	288	3	inc	inc	PROPN
ajst-15581	288	4	.	.	PROPN
ajst-15581	288	5	2017	2017	NUM
ajst-15581	288	6	.	.	PUNCT
ajst-15581	289	1	[	[	X
ajst-15581	289	2	23	23	NUM
ajst-15581	289	3	]	]	X
ajst-15581	289	4	wang	wang	PROPN
ajst-15581	289	5	heng	heng	PROPN
ajst-15581	289	6	,	,	PUNCT
ajst-15581	289	7	jiang	jiang	PROPN
ajst-15581	289	8	yanan	yanan	PROPN
ajst-15581	289	9	,	,	PUNCT
ajst-15581	289	10	zhang	zhang	PROPN
ajst-15581	289	11	xin	xin	PROPN
ajst-15581	289	12	,	,	PUNCT
ajst-15581	289	13	zhong	zhong	PROPN
ajst-15581	289	14	hongru	hongru	PROPN
ajst-15581	289	15	,	,	PUNCT
ajst-15581	289	16	chen	chen	PROPN
ajst-15581	289	17	qingxuan	qingxuan	PROPN
ajst-15581	289	18	,	,	PUNCT
ajst-15581	289	19	gao	gao	PROPN
ajst-15581	289	20	shichen	shichen	PROPN
ajst-15581	289	21	.	.	PUNCT
ajst-15581	290	1	lithologic	lithologic	NOUN
ajst-15581	290	2	identification	identification	NOUN
ajst-15581	290	3	method	method	NOUN
ajst-15581	290	4	based	base	VERB
ajst-15581	290	5	on	on	ADP
ajst-15581	290	6	gradient	gradient	ADJ
ajst-15581	290	7	lifting	lift	VERB
ajst-15581	290	8	algorithm	algorithm	NOUN
ajst-15581	291	1	[	[	X
ajst-15581	291	2	j	j	X
ajst-15581	291	3	]	]	X
ajst-15581	291	4	.	.	PUNCT
ajst-15581	292	1	journal	journal	PROPN
ajst-15581	292	2	of	of	ADP
ajst-15581	292	3	jilin	jilin	PROPN
ajst-15581	292	4	university	university	PROPN
ajst-15581	292	5	(	(	PUNCT
ajst-15581	292	6	earth	earth	PROPN
ajst-15581	292	7	science	science	NOUN
ajst-15581	292	8	edition	edition	PROPN
ajst-15581	292	9	)	)	PUNCT
ajst-15581	292	10	,	,	PUNCT
ajst-15581	292	11	2021	2021	NUM
ajst-15581	292	12	,	,	PUNCT
ajst-15581	292	13	51	51	NUM
ajst-15581	292	14	(	(	PUNCT
ajst-15581	292	15	03	03	NUM
ajst-15581	292	16	):	):	PUNCT
ajst-15581	292	17	940	940	NUM
ajst-15581	292	18	-	-	SYM
ajst-15581	292	19	950	950	NUM
ajst-15581	292	20	.	.	PUNCT
ajst-15581	293	1	doi	doi	NOUN
ajst-15581	293	2	:	:	PUNCT
ajst-15581	293	3	10.13278	10.13278	NUM
ajst-15581	293	4	/	/	SYM
ajst-15581	293	5	j.cnki.jjuese.20200081	j.cnki.jjuese.20200081	PROPN
ajst-15581	293	6	.	.	PUNCT
ajst-15581	294	1	[	[	X
ajst-15581	294	2	24	24	NUM
ajst-15581	294	3	]	]	X
ajst-15581	294	4	ma	ma	PROPN
ajst-15581	294	5	xiaojun	xiaojun	PROPN
ajst-15581	294	6	,	,	PUNCT
ajst-15581	294	7	sha	sha	PROPN
ajst-15581	294	8	jinglan	jinglan	PROPN
ajst-15581	294	9	,	,	PUNCT
ajst-15581	294	10	niu	niu	PROPN
ajst-15581	294	11	xueqi	xueqi	PROPN
ajst-15581	294	12	.	.	PUNCT
ajst-15581	295	1	design	design	NOUN
ajst-15581	295	2	and	and	CCONJ
ajst-15581	295	3	application	application	NOUN
ajst-15581	295	4	of	of	ADP
ajst-15581	295	5	p2p	p2p	NOUN
ajst-15581	295	6	project	project	NOUN
ajst-15581	295	7	credit	credit	NOUN
ajst-15581	295	8	rating	rating	NOUN
ajst-15581	295	9	model	model	NOUN
ajst-15581	295	10	based	base	VERB
ajst-15581	295	11	on	on	ADP
ajst-15581	295	12	lightgbm	lightgbm	ADJ
ajst-15581	295	13	algorithm	algorithm	NOUN
ajst-15581	296	1	[	[	X
ajst-15581	296	2	j	j	X
ajst-15581	296	3	]	]	X
ajst-15581	296	4	.	.	PUNCT
ajst-15581	297	1	quantitative	quantitative	ADJ
ajst-15581	297	2	economic	economic	ADJ
ajst-15581	297	3	and	and	CCONJ
ajst-15581	297	4	technological	technological	ADJ
ajst-15581	297	5	economic	economic	ADJ
ajst-15581	297	6	research	research	NOUN
ajst-15581	297	7	,	,	PUNCT
ajst-15581	297	8	2018	2018	NUM
ajst-15581	297	9	,	,	PUNCT
ajst-15581	297	10	35	35	NUM
ajst-15581	297	11	(	(	PUNCT
ajst-15581	297	12	05	05	NUM
ajst-15581	297	13	):	):	PUNCT
ajst-15581	297	14	144	144	NUM
ajst-15581	297	15	-	-	SYM
ajst-15581	297	16	160	160	NUM
ajst-15581	297	17	.	.	PUNCT
ajst-15581	298	1	doi	doi	NOUN
ajst-15581	298	2	:	:	PUNCT
ajst-15581	298	3	10.13653	10.13653	NUM
ajst-15581	298	4	/	/	SYM
ajst-15581	298	5	j.cnki	j.cnki	NOUN
ajst-15581	298	6	.	.	PUNCT
ajst-15581	299	1	jqte.20180503.001	jqte.20180503.001	PROPN
ajst-15581	299	2	.	.	PUNCT
ajst-15581	300	1	[	[	X
ajst-15581	300	2	25	25	NUM
ajst-15581	300	3	]	]	X
ajst-15581	300	4	yang	yang	PROPN
ajst-15581	300	5	liu	liu	PROPN
ajst-15581	300	6	,	,	PUNCT
ajst-15581	300	7	zhi	zhi	PROPN
ajst-15581	300	8	-	-	PROPN
ajst-15581	300	9	ping	ping	PROPN
ajst-15581	300	10	fan	fan	PROPN
ajst-15581	300	11	,	,	PUNCT
ajst-15581	300	12	tian	tian	PROPN
ajst-15581	300	13	-	-	PUNCT
ajst-15581	300	14	hui	hui	PROPN
ajst-15581	300	15	you	you	PRON
ajst-15581	300	16	,	,	PUNCT
ajst-15581	300	17	wei	wei	PROPN
ajst-15581	300	18	-	-	PUNCT
ajst-15581	300	19	yu	yu	PROPN
ajst-15581	300	20	zhang	zhang	PROPN
ajst-15581	300	21	.	.	PUNCT
ajst-15581	301	1	large	large	ADJ
ajst-15581	301	2	group	group	NOUN
ajst-15581	301	3	decision	decision	NOUN
ajst-15581	301	4	-	-	PUNCT
ajst-15581	301	5	making	make	VERB
ajst-15581	301	6	(	(	PUNCT
ajst-15581	301	7	lgdm	lgdm	NOUN
ajst-15581	301	8	)	)	PUNCT
ajst-15581	301	9	with	with	ADP
ajst-15581	301	10	the	the	DET
ajst-15581	301	11	participators	participator	NOUN
ajst-15581	301	12	from	from	ADP
ajst-15581	301	13	multiple	multiple	ADJ
ajst-15581	301	14	subgroups	subgroup	NOUN
ajst-15581	301	15	of	of	ADP
ajst-15581	301	16	stakeholders	stakeholder	NOUN
ajst-15581	301	17	:	:	PUNCT
ajst-15581	301	18	a	a	DET
ajst-15581	301	19	method	method	NOUN
ajst-15581	301	20	considering	consider	VERB
ajst-15581	301	21	both	both	CCONJ
ajst-15581	301	22	the	the	DET
ajst-15581	301	23	collective	collective	ADJ
ajst-15581	301	24	evaluation	evaluation	NOUN
ajst-15581	301	25	and	and	CCONJ
ajst-15581	301	26	the	the	DET
ajst-15581	301	27	fairness	fairness	NOUN
ajst-15581	301	28	of	of	ADP
ajst-15581	301	29	the	the	DET
ajst-15581	301	30	alternative[j	alternative[j	NOUN
ajst-15581	301	31	]	]	PUNCT
ajst-15581	301	32	.	.	PUNCT
ajst-15581	302	1	computers	computer	NOUN
ajst-15581	302	2	&	&	CCONJ
ajst-15581	302	3	industrial	industrial	PROPN
ajst-15581	302	4	engineering,2018,122	engineering,2018,122	PROPN
ajst-15581	302	5	.	.	PUNCT
ajst-15581	303	1	[	[	X
ajst-15581	303	2	26	26	NUM
ajst-15581	303	3	]	]	X
ajst-15581	303	4	yaguang	yaguang	PROPN
ajst-15581	303	5	kong	kong	PROPN
ajst-15581	303	6	,	,	PUNCT
ajst-15581	303	7	xuyang	xuyang	PROPN
ajst-15581	303	8	tao	tao	PROPN
ajst-15581	303	9	,	,	PUNCT
ajst-15581	303	10	zhangpin	zhangpin	PROPN
ajst-15581	303	11	chen	chen	PROPN
ajst-15581	303	12	.	.	PUNCT
ajst-15581	303	13	sound	sound	PROPN
ajst-15581	303	14	field	field	NOUN
ajst-15581	303	15	measurement	measurement	NOUN
ajst-15581	303	16	and	and	CCONJ
ajst-15581	303	17	evaluation	evaluation	NOUN
ajst-15581	303	18	research	research	NOUN
ajst-15581	303	19	for	for	ADP
ajst-15581	303	20	radiated	radiate	VERB
ajst-15581	303	21	acoustic	acoustic	ADJ
ajst-15581	303	22	fields	field	NOUN
ajst-15581	303	23	in	in	ADP
ajst-15581	303	24	amplitude	amplitude	NOUN
ajst-15581	303	25	-	-	PUNCT
ajst-15581	303	26	variable	variable	NOUN
ajst-15581	303	27	sonochemical	sonochemical	ADJ
ajst-15581	303	28	systems[j	systems[j	PROPN
ajst-15581	303	29	]	]	PUNCT
ajst-15581	303	30	.	.	PUNCT
ajst-15581	304	1	measurement	measurement	NOUN
ajst-15581	304	2	and	and	CCONJ
ajst-15581	304	3	control	control	NOUN
ajst-15581	304	4	,	,	PUNCT
ajst-15581	304	5	2019,52(9	2019,52(9	NOUN
ajst-15581	304	6	-	-	PUNCT
ajst-15581	304	7	10	10	NUM
ajst-15581	304	8	)	)	PUNCT
ajst-15581	304	9	.	.	PUNCT
ajst-15581	305	1	[	[	X
ajst-15581	305	2	27	27	NUM
ajst-15581	305	3	]	]	X
ajst-15581	305	4	andrew	andrew	PROPN
ajst-15581	305	5	p.	p.	PROPN
ajst-15581	305	6	bradley	bradley	PROPN
ajst-15581	305	7	.	.	PUNCT
ajst-15581	306	1	the	the	DET
ajst-15581	306	2	use	use	NOUN
ajst-15581	306	3	of	of	ADP
ajst-15581	306	4	the	the	DET
ajst-15581	306	5	area	area	NOUN
ajst-15581	306	6	under	under	ADP
ajst-15581	306	7	the	the	DET
ajst-15581	306	8	roc	roc	PROPN
ajst-15581	306	9	curve	curve	NOUN
ajst-15581	306	10	in	in	ADP
ajst-15581	306	11	the	the	DET
ajst-15581	306	12	evaluation	evaluation	NOUN
ajst-15581	306	13	of	of	ADP
ajst-15581	306	14	machine	machine	NOUN
ajst-15581	306	15	learning	learn	VERB
ajst-15581	306	16	algorithms[j	algorithms[j	PROPN
ajst-15581	306	17	]	]	X
ajst-15581	306	18	.	.	PUNCT
ajst-15581	307	1	pattern	pattern	NOUN
ajst-15581	307	2	recognition	recognition	PROPN
ajst-15581	307	3	,	,	PUNCT
ajst-15581	307	4	1997,30(7	1997,30(7	ADJ
ajst-15581	307	5	)	)	PUNCT
ajst-15581	307	6	.	.	PUNCT
ajst-15581	308	1	[	[	X
ajst-15581	308	2	28	28	NUM
ajst-15581	308	3	]	]	X
ajst-15581	308	4	liu	liu	PROPN
ajst-15581	308	5	saike	saike	PROPN
ajst-15581	308	6	,	,	PUNCT
ajst-15581	308	7	he	he	PRON
ajst-15581	308	8	xiaoqun	xiaoqun	PROPN
ajst-15581	308	9	,	,	PUNCT
ajst-15581	308	10	xia	xia	PROPN
ajst-15581	308	11	liyu	liyu	PROPN
ajst-15581	308	12	.	.	PUNCT
ajst-15581	309	1	discussion	discussion	NOUN
ajst-15581	309	2	on	on	ADP
ajst-15581	309	3	the	the	DET
ajst-15581	309	4	effectiveness	effectiveness	NOUN
ajst-15581	309	5	of	of	ADP
ajst-15581	309	6	model	model	NOUN
ajst-15581	309	7	evaluation	evaluation	NOUN
ajst-15581	309	8	indicators	indicator	NOUN
ajst-15581	309	9	under	under	ADP
ajst-15581	309	10	unbalanced	unbalanced	ADJ
ajst-15581	309	11	data	datum	NOUN
ajst-15581	310	1	[	[	X
ajst-15581	310	2	j	j	X
ajst-15581	310	3	]	]	X
ajst-15581	310	4	.	.	PUNCT
ajst-15581	311	1	statistics	statistic	NOUN
ajst-15581	311	2	and	and	CCONJ
ajst-15581	311	3	decision	decision	NOUN
ajst-15581	311	4	,	,	PUNCT
ajst-15581	311	5	2022	2022	NUM
ajst-15581	311	6	,	,	PUNCT
ajst-15581	311	7	38	38	NUM
ajst-15581	311	8	(	(	PUNCT
ajst-15581	311	9	19	19	NUM
ajst-15581	311	10	):	):	PUNCT
ajst-15581	311	11	5	5	NUM
ajst-15581	311	12	-	-	SYM
ajst-15581	311	13	9	9	NUM
ajst-15581	311	14	.	.	PUNCT
ajst-15581	311	15	doi	doi	NOUN
ajst-15581	311	16	:	:	PUNCT
ajst-15581	311	17	10.13546	10.13546	NUM
ajst-15581	311	18	/	/	SYM
ajst-15581	311	19	j.cnki.tjyjc.2022.19.001	j.cnki.tjyjc.2022.19.001	NOUN
ajst-15581	311	20	.	.	PUNCT
ajst-15581	312	1	[	[	X
ajst-15581	312	2	29	29	NUM
ajst-15581	312	3	]	]	PUNCT
ajst-15581	312	4	jolliffe	jolliffe	VERB
ajst-15581	312	5	ian	ian	PROPN
ajst-15581	312	6	t	t	PROPN
ajst-15581	312	7	,	,	PUNCT
ajst-15581	312	8	cadima	cadima	PROPN
ajst-15581	312	9	jorge	jorge	PROPN
ajst-15581	312	10	.	.	PUNCT
ajst-15581	313	1	principal	principal	ADJ
ajst-15581	313	2	component	component	NOUN
ajst-15581	313	3	analysis	analysis	NOUN
ajst-15581	313	4	:	:	PUNCT
ajst-15581	313	5	a	a	DET
ajst-15581	313	6	review	review	NOUN
ajst-15581	313	7	and	and	CCONJ
ajst-15581	313	8	recent	recent	ADJ
ajst-15581	313	9	developments.[j	developments.[j	VERB
ajst-15581	313	10	]	]	PUNCT
ajst-15581	313	11	.	.	PUNCT
ajst-15581	314	1	philosophical	philosophical	ADJ
ajst-15581	314	2	transactions	transaction	NOUN
ajst-15581	314	3	.	.	PUNCT
ajst-15581	315	1	series	series	PROPN
ajst-15581	315	2	a	a	PRON
ajst-15581	315	3	,	,	PUNCT
ajst-15581	315	4	mathematical	mathematical	ADJ
ajst-15581	315	5	,	,	PUNCT
ajst-15581	315	6	physical	physical	ADJ
ajst-15581	315	7	,	,	PUNCT
ajst-15581	315	8	and	and	CCONJ
ajst-15581	315	9	engineering	engineering	NOUN
ajst-15581	315	10	sciences	science	NOUN
ajst-15581	315	11	,	,	PUNCT
ajst-15581	315	12	2016	2016	NUM
ajst-15581	315	13	,	,	PUNCT
ajst-15581	315	14	374(2065	374(2065	NUM
ajst-15581	315	15	)	)	PUNCT
ajst-15581	315	16	.	.	PUNCT
ajst-15581	316	1	[	[	X
ajst-15581	316	2	30	30	NUM
ajst-15581	316	3	]	]	X
ajst-15581	316	4	yu	yu	PROPN
ajst-15581	316	5	xiaofen	xiaofen	PROPN
ajst-15581	316	6	,	,	PUNCT
ajst-15581	316	7	fu	fu	PROPN
ajst-15581	316	8	dai	dai	PROPN
ajst-15581	316	9	.	.	PROPN
ajst-15581	316	10	summary	summary	NOUN
ajst-15581	316	11	of	of	ADP
ajst-15581	316	12	multi	multi	ADJ
ajst-15581	316	13	-	-	ADJ
ajst-15581	316	14	index	index	ADJ
ajst-15581	316	15	comprehensive	comprehensive	ADJ
ajst-15581	316	16	evaluation	evaluation	NOUN
ajst-15581	316	17	methods	method	NOUN
ajst-15581	316	18	[	[	X
ajst-15581	316	19	j	j	X
ajst-15581	316	20	]	]	X
ajst-15581	316	21	.	.	PUNCT
ajst-15581	317	1	statistics	statistic	NOUN
ajst-15581	317	2	and	and	CCONJ
ajst-15581	317	3	decision	decision	NOUN
ajst-15581	317	4	,	,	PUNCT
ajst-15581	317	5	2004	2004	NUM
ajst-15581	317	6	(	(	PUNCT
ajst-15581	317	7	11	11	NUM
ajst-15581	317	8	):	):	PUNCT
ajst-15581	317	9	119	119	NUM
ajst-15581	317	10	-	-	SYM
ajst-15581	317	11	121	121	NUM
ajst-15581	317	12	.	.	PUNCT
ajst-15581	318	1	[	[	X
ajst-15581	318	2	31	31	NUM
ajst-15581	318	3	]	]	PUNCT
ajst-15581	318	4	michele	michele	PROPN
ajst-15581	318	5	biasutti	biasutti	PROPN
ajst-15581	318	6	,	,	PUNCT
ajst-15581	318	7	sara	sara	PROPN
ajst-15581	318	8	frate	frate	PROPN
ajst-15581	318	9	.	.	PUNCT
ajst-15581	319	1	a	a	DET
ajst-15581	319	2	validity	validity	NOUN
ajst-15581	319	3	and	and	CCONJ
ajst-15581	319	4	reliability	reliability	NOUN
ajst-15581	319	5	study	study	NOUN
ajst-15581	319	6	of	of	ADP
ajst-15581	319	7	the	the	DET
ajst-15581	319	8	attitudes	attitude	NOUN
ajst-15581	319	9	toward	toward	ADP
ajst-15581	319	10	sustainable	sustainable	ADJ
ajst-15581	319	11	development	development	NOUN
ajst-15581	319	12	scale[j	scale[j	NOUN
ajst-15581	319	13	]	]	PUNCT
ajst-15581	319	14	.	.	PUNCT
ajst-15581	320	1	environmental	environmental	ADJ
ajst-15581	320	2	education	education	PROPN
ajst-15581	320	3	research,2016,23(2	research,2016,23(2	PROPN
ajst-15581	320	4	)	)	PUNCT
ajst-15581	320	5	.	.	PUNCT