id	sid	tid	token	lemma	pos
ajst-15578	1	1	academic	academic	ADJ
ajst-15578	1	2	journal	journal	NOUN
ajst-15578	1	3	of	of	ADP
ajst-15578	1	4	science	science	NOUN
ajst-15578	1	5	and	and	CCONJ
ajst-15578	1	6	technology	technology	NOUN
ajst-15578	1	7	issn	issn	NOUN
ajst-15578	1	8	:	:	PUNCT
ajst-15578	1	9	2771	2771	NUM
ajst-15578	1	10	-	-	SYM
ajst-15578	1	11	3032	3032	NUM
ajst-15578	1	12	|	|	NOUN
ajst-15578	1	13	vol	vol	NOUN
ajst-15578	1	14	.	.	PROPN
ajst-15578	1	15	8	8	NUM
ajst-15578	1	16	,	,	PUNCT
ajst-15578	1	17	no	no	INTJ
ajst-15578	1	18	.	.	NOUN
ajst-15578	1	19	3	3	NUM
ajst-15578	1	20	,	,	PUNCT
ajst-15578	1	21	2023	2023	NUM
ajst-15578	1	22	98	98	NUM
ajst-15578	1	23	an	an	DET
ajst-15578	1	24	identification	identification	NOUN
ajst-15578	1	25	method	method	NOUN
ajst-15578	1	26	for	for	ADP
ajst-15578	1	27	intelligent	intelligent	ADJ
ajst-15578	1	28	prediction	prediction	NOUN
ajst-15578	1	29	of	of	ADP
ajst-15578	1	30	drilling	drilling	NOUN
ajst-15578	1	31	overflow	overflow	NOUN
ajst-15578	1	32	based	base	VERB
ajst-15578	1	33	on	on	ADP
ajst-15578	1	34	bilstm‐bp	bilstm‐bp	PROPN
ajst-15578	1	35	neural	neural	ADJ
ajst-15578	1	36	network	network	NOUN
ajst-15578	1	37	yuqian	yuqian	PROPN
ajst-15578	1	38	zhou	zhou	PROPN
ajst-15578	1	39	,	,	PUNCT
ajst-15578	1	40	he	he	PRON
ajst-15578	1	41	zhang	zhang	PROPN
ajst-15578	1	42	school	school	PROPN
ajst-15578	1	43	of	of	ADP
ajst-15578	1	44	mechatronic	mechatronic	ADJ
ajst-15578	1	45	engineering	engineering	NOUN
ajst-15578	1	46	,	,	PUNCT
ajst-15578	1	47	southwest	southwest	ADJ
ajst-15578	1	48	petroleum	petroleum	PROPN
ajst-15578	1	49	university	university	PROPN
ajst-15578	1	50	,	,	PUNCT
ajst-15578	1	51	chengdu	chengdu	PROPN
ajst-15578	1	52	,	,	PUNCT
ajst-15578	1	53	610500	610500	NUM
ajst-15578	1	54	,	,	PUNCT
ajst-15578	1	55	china	china	PROPN
ajst-15578	1	56	abstract	abstract	NOUN
ajst-15578	1	57	:	:	PUNCT
ajst-15578	1	58	the	the	DET
ajst-15578	1	59	prevention	prevention	NOUN
ajst-15578	1	60	and	and	CCONJ
ajst-15578	1	61	control	control	NOUN
ajst-15578	1	62	of	of	ADP
ajst-15578	1	63	overflow	overflow	NOUN
ajst-15578	1	64	is	be	AUX
ajst-15578	1	65	an	an	DET
ajst-15578	1	66	important	important	ADJ
ajst-15578	1	67	task	task	NOUN
ajst-15578	1	68	to	to	PART
ajst-15578	1	69	ensure	ensure	VERB
ajst-15578	1	70	the	the	DET
ajst-15578	1	71	safe	safe	ADJ
ajst-15578	1	72	and	and	CCONJ
ajst-15578	1	73	efficient	efficient	ADJ
ajst-15578	1	74	development	development	NOUN
ajst-15578	1	75	of	of	ADP
ajst-15578	1	76	oil	oil	NOUN
ajst-15578	1	77	and	and	CCONJ
ajst-15578	1	78	gas	gas	NOUN
ajst-15578	1	79	fields	field	NOUN
ajst-15578	1	80	,	,	PUNCT
ajst-15578	1	81	and	and	CCONJ
ajst-15578	1	82	the	the	DET
ajst-15578	1	83	traditional	traditional	ADJ
ajst-15578	1	84	overflow	overflow	NOUN
ajst-15578	1	85	monitoring	monitoring	NOUN
ajst-15578	1	86	methods	method	NOUN
ajst-15578	1	87	have	have	VERB
ajst-15578	1	88	the	the	DET
ajst-15578	1	89	defects	defect	NOUN
ajst-15578	1	90	of	of	ADP
ajst-15578	1	91	insufficient	insufficient	ADJ
ajst-15578	1	92	real	real	ADJ
ajst-15578	1	93	-	-	PUNCT
ajst-15578	1	94	time	time	NOUN
ajst-15578	1	95	and	and	CCONJ
ajst-15578	1	96	low	low	ADJ
ajst-15578	1	97	reliability	reliability	NOUN
ajst-15578	1	98	.	.	PUNCT
ajst-15578	2	1	this	this	DET
ajst-15578	2	2	paper	paper	NOUN
ajst-15578	2	3	proposes	propose	VERB
ajst-15578	2	4	an	an	DET
ajst-15578	2	5	early	early	ADJ
ajst-15578	2	6	overflow	overflow	ADJ
ajst-15578	2	7	intelligent	intelligent	ADJ
ajst-15578	2	8	identification	identification	NOUN
ajst-15578	2	9	method	method	NOUN
ajst-15578	2	10	based	base	VERB
ajst-15578	2	11	on	on	ADP
ajst-15578	2	12	bilstm	bilstm	NOUN
ajst-15578	2	13	-	-	PUNCT
ajst-15578	2	14	bp	bp	PROPN
ajst-15578	2	15	neural	neural	ADJ
ajst-15578	2	16	network	network	NOUN
ajst-15578	2	17	to	to	PART
ajst-15578	2	18	address	address	VERB
ajst-15578	2	19	the	the	DET
ajst-15578	2	20	problems	problem	NOUN
ajst-15578	2	21	of	of	ADP
ajst-15578	2	22	insufficient	insufficient	ADJ
ajst-15578	2	23	real	real	ADJ
ajst-15578	2	24	-	-	PUNCT
ajst-15578	2	25	time	time	NOUN
ajst-15578	2	26	and	and	CCONJ
ajst-15578	2	27	low	low	ADJ
ajst-15578	2	28	reliability	reliability	NOUN
ajst-15578	2	29	of	of	ADP
ajst-15578	2	30	traditional	traditional	ADJ
ajst-15578	2	31	monitoring	monitoring	NOUN
ajst-15578	2	32	means	mean	NOUN
ajst-15578	2	33	;	;	PUNCT
ajst-15578	2	34	the	the	DET
ajst-15578	2	35	lack	lack	NOUN
ajst-15578	2	36	of	of	ADP
ajst-15578	2	37	downhole	downhole	NOUN
ajst-15578	2	38	drilling	drilling	NOUN
ajst-15578	2	39	measurement	measurement	PROPN
ajst-15578	2	40	data	datum	NOUN
ajst-15578	2	41	affects	affect	VERB
ajst-15578	2	42	the	the	DET
ajst-15578	2	43	prediction	prediction	NOUN
ajst-15578	2	44	accuracy	accuracy	NOUN
ajst-15578	2	45	of	of	ADP
ajst-15578	2	46	multi	multi	ADJ
ajst-15578	2	47	-	-	ADJ
ajst-15578	2	48	source	source	NOUN
ajst-15578	2	49	data	datum	NOUN
ajst-15578	2	50	fusion	fusion	NOUN
ajst-15578	2	51	.	.	PUNCT
ajst-15578	3	1	firstly	firstly	ADV
ajst-15578	3	2	,	,	PUNCT
ajst-15578	3	3	the	the	DET
ajst-15578	3	4	input	input	NOUN
ajst-15578	3	5	parameters	parameter	NOUN
ajst-15578	3	6	of	of	ADP
ajst-15578	3	7	the	the	DET
ajst-15578	3	8	model	model	NOUN
ajst-15578	3	9	are	be	AUX
ajst-15578	3	10	optimized	optimize	VERB
ajst-15578	3	11	through	through	ADP
ajst-15578	3	12	correlation	correlation	NOUN
ajst-15578	3	13	analysis	analysis	NOUN
ajst-15578	3	14	;	;	PUNCT
ajst-15578	3	15	secondly	secondly	ADV
ajst-15578	3	16	,	,	PUNCT
ajst-15578	3	17	the	the	DET
ajst-15578	3	18	hidden	hidden	ADJ
ajst-15578	3	19	features	feature	NOUN
ajst-15578	3	20	and	and	CCONJ
ajst-15578	3	21	complex	complex	ADJ
ajst-15578	3	22	change	change	NOUN
ajst-15578	3	23	laws	law	NOUN
ajst-15578	3	24	in	in	ADP
ajst-15578	3	25	the	the	DET
ajst-15578	3	26	overflow	overflow	NOUN
ajst-15578	3	27	monitoring	monitoring	NOUN
ajst-15578	3	28	data	datum	NOUN
ajst-15578	3	29	are	be	AUX
ajst-15578	3	30	learned	learn	VERB
ajst-15578	3	31	by	by	ADP
ajst-15578	3	32	using	use	VERB
ajst-15578	3	33	bi	bi	ADJ
ajst-15578	3	34	-	-	ADJ
ajst-15578	3	35	directional	directional	ADJ
ajst-15578	3	36	long	long	ADJ
ajst-15578	3	37	and	and	CCONJ
ajst-15578	3	38	short	short	ADJ
ajst-15578	3	39	-	-	PUNCT
ajst-15578	3	40	term	term	NOUN
ajst-15578	3	41	memory	memory	NOUN
ajst-15578	3	42	network	network	NOUN
ajst-15578	3	43	to	to	PART
ajst-15578	3	44	realize	realize	VERB
ajst-15578	3	45	the	the	DET
ajst-15578	3	46	repair	repair	NOUN
ajst-15578	3	47	of	of	ADP
ajst-15578	3	48	downhole	downhole	NOUN
ajst-15578	3	49	missing	miss	VERB
ajst-15578	3	50	data	datum	NOUN
ajst-15578	3	51	;	;	PUNCT
ajst-15578	3	52	finally	finally	ADV
ajst-15578	3	53	,	,	PUNCT
ajst-15578	3	54	the	the	DET
ajst-15578	3	55	bp	bp	PROPN
ajst-15578	3	56	neural	neural	PROPN
ajst-15578	3	57	network	network	NOUN
ajst-15578	3	58	realizes	realize	VERB
ajst-15578	3	59	the	the	DET
ajst-15578	3	60	early	early	ADJ
ajst-15578	3	61	overflow	overflow	ADJ
ajst-15578	3	62	intelligent	intelligent	ADJ
ajst-15578	3	63	identification	identification	NOUN
ajst-15578	3	64	.	.	PUNCT
ajst-15578	4	1	the	the	DET
ajst-15578	4	2	test	test	NOUN
ajst-15578	4	3	set	set	VERB
ajst-15578	4	4	data	datum	NOUN
ajst-15578	4	5	and	and	CCONJ
ajst-15578	4	6	field	field	NOUN
ajst-15578	4	7	test	test	NOUN
ajst-15578	4	8	results	result	NOUN
ajst-15578	4	9	of	of	ADP
ajst-15578	4	10	a	a	DET
ajst-15578	4	11	test	test	NOUN
ajst-15578	4	12	well	well	ADV
ajst-15578	4	13	in	in	ADP
ajst-15578	4	14	bozhong	bozhong	NOUN
ajst-15578	4	15	oilfield	oilfield	NOUN
ajst-15578	4	16	show	show	NOUN
ajst-15578	4	17	that	that	SCONJ
ajst-15578	4	18	the	the	DET
ajst-15578	4	19	early	early	ADJ
ajst-15578	4	20	overflow	overflow	ADJ
ajst-15578	4	21	intelligent	intelligent	ADJ
ajst-15578	4	22	identification	identification	NOUN
ajst-15578	4	23	method	method	NOUN
ajst-15578	4	24	based	base	VERB
ajst-15578	4	25	on	on	ADP
ajst-15578	4	26	bilstm	bilstm	NOUN
ajst-15578	4	27	-	-	PUNCT
ajst-15578	4	28	bp	bp	PROPN
ajst-15578	4	29	neural	neural	ADJ
ajst-15578	4	30	network	network	NOUN
ajst-15578	4	31	constructed	construct	VERB
ajst-15578	4	32	in	in	ADP
ajst-15578	4	33	this	this	DET
ajst-15578	4	34	paper	paper	NOUN
ajst-15578	4	35	can	can	AUX
ajst-15578	4	36	realize	realize	VERB
ajst-15578	4	37	the	the	DET
ajst-15578	4	38	intelligent	intelligent	ADJ
ajst-15578	4	39	identification	identification	NOUN
ajst-15578	4	40	of	of	ADP
ajst-15578	4	41	early	early	ADJ
ajst-15578	4	42	overflow	overflow	NOUN
ajst-15578	4	43	using	use	VERB
ajst-15578	4	44	multiple	multiple	ADJ
ajst-15578	4	45	monitoring	monitoring	NOUN
ajst-15578	4	46	parameters	parameter	NOUN
ajst-15578	4	47	of	of	ADP
ajst-15578	4	48	surface	surface	NOUN
ajst-15578	4	49	integrated	integrate	VERB
ajst-15578	4	50	logging	logging	NOUN
ajst-15578	4	51	,	,	PUNCT
ajst-15578	4	52	highprecision	highprecision	NOUN
ajst-15578	4	53	flowmeter	flowmeter	NOUN
ajst-15578	4	54	at	at	ADP
ajst-15578	4	55	the	the	DET
ajst-15578	4	56	wellhead	wellhead	NOUN
ajst-15578	4	57	and	and	CCONJ
ajst-15578	4	58	downhole	downhole	NOUN
ajst-15578	4	59	drilling	drilling	NOUN
ajst-15578	4	60	,	,	PUNCT
ajst-15578	4	61	and	and	CCONJ
ajst-15578	4	62	the	the	DET
ajst-15578	4	63	identification	identification	NOUN
ajst-15578	4	64	accuracy	accuracy	NOUN
ajst-15578	4	65	reaches	reach	VERB
ajst-15578	4	66	97.02	97.02	NUM
ajst-15578	4	67	%	%	NOUN
ajst-15578	4	68	,	,	PUNCT
ajst-15578	4	69	which	which	PRON
ajst-15578	4	70	is	be	AUX
ajst-15578	4	71	1.23	1.23	NUM
ajst-15578	4	72	%	%	NOUN
ajst-15578	4	73	better	well	ADJ
ajst-15578	4	74	than	than	ADP
ajst-15578	4	75	the	the	DET
ajst-15578	4	76	existing	exist	VERB
ajst-15578	4	77	model	model	NOUN
ajst-15578	4	78	and	and	CCONJ
ajst-15578	4	79	it	it	PRON
ajst-15578	4	80	can	can	AUX
ajst-15578	4	81	identify	identify	VERB
ajst-15578	4	82	the	the	DET
ajst-15578	4	83	overflow	overflow	NOUN
ajst-15578	4	84	more	more	ADV
ajst-15578	4	85	quickly	quickly	ADV
ajst-15578	4	86	while	while	SCONJ
ajst-15578	4	87	ensuring	ensure	VERB
ajst-15578	4	88	higher	high	ADJ
ajst-15578	4	89	accuracy	accuracy	NOUN
ajst-15578	4	90	.	.	PUNCT
ajst-15578	5	1	it	it	PRON
ajst-15578	5	2	provides	provide	VERB
ajst-15578	5	3	a	a	DET
ajst-15578	5	4	key	key	ADJ
ajst-15578	5	5	theoretical	theoretical	ADJ
ajst-15578	5	6	model	model	NOUN
ajst-15578	5	7	for	for	ADP
ajst-15578	5	8	early	early	ADJ
ajst-15578	5	9	overflow	overflow	NOUN
ajst-15578	5	10	identification	identification	NOUN
ajst-15578	5	11	technology	technology	NOUN
ajst-15578	5	12	from	from	ADP
ajst-15578	5	13	traditional	traditional	ADJ
ajst-15578	5	14	identification	identification	NOUN
ajst-15578	5	15	to	to	ADP
ajst-15578	5	16	intelligent	intelligent	ADJ
ajst-15578	5	17	identification	identification	NOUN
ajst-15578	5	18	.	.	PUNCT
ajst-15578	6	1	keywords	keyword	NOUN
ajst-15578	6	2	:	:	PUNCT
ajst-15578	6	3	neural	neural	ADJ
ajst-15578	6	4	network	network	NOUN
ajst-15578	6	5	;	;	PUNCT
ajst-15578	6	6	multi	multi	ADJ
ajst-15578	6	7	-	-	ADJ
ajst-15578	6	8	parameter	parameter	ADJ
ajst-15578	6	9	fusion	fusion	NOUN
ajst-15578	6	10	;	;	PUNCT
ajst-15578	6	11	missing	miss	VERB
ajst-15578	6	12	data	data	NOUN
ajst-15578	6	13	prediction	prediction	NOUN
ajst-15578	6	14	;	;	PUNCT
ajst-15578	6	15	early	early	ADJ
ajst-15578	6	16	identification	identification	NOUN
ajst-15578	6	17	.	.	PUNCT
ajst-15578	7	1	1	1	X
ajst-15578	7	2	.	.	X
ajst-15578	7	3	introduction	introduction	NOUN
ajst-15578	7	4	in	in	ADP
ajst-15578	7	5	the	the	DET
ajst-15578	7	6	process	process	NOUN
ajst-15578	7	7	of	of	ADP
ajst-15578	7	8	oil	oil	NOUN
ajst-15578	7	9	and	and	CCONJ
ajst-15578	7	10	gas	gas	NOUN
ajst-15578	7	11	field	field	NOUN
ajst-15578	7	12	exploration	exploration	NOUN
ajst-15578	7	13	and	and	CCONJ
ajst-15578	7	14	development	development	NOUN
ajst-15578	7	15	,	,	PUNCT
ajst-15578	7	16	overflow	overflow	NOUN
ajst-15578	7	17	,	,	PUNCT
ajst-15578	7	18	as	as	ADP
ajst-15578	7	19	the	the	DET
ajst-15578	7	20	most	most	ADV
ajst-15578	7	21	common	common	ADJ
ajst-15578	7	22	downhole	downhole	NOUN
ajst-15578	7	23	construction	construction	NOUN
ajst-15578	7	24	safety	safety	NOUN
ajst-15578	7	25	accident	accident	NOUN
ajst-15578	7	26	,	,	PUNCT
ajst-15578	7	27	is	be	AUX
ajst-15578	7	28	not	not	PART
ajst-15578	7	29	only	only	ADV
ajst-15578	7	30	risky	risky	ADJ
ajst-15578	7	31	and	and	CCONJ
ajst-15578	7	32	sudden	sudden	ADJ
ajst-15578	7	33	,	,	PUNCT
ajst-15578	7	34	but	but	CCONJ
ajst-15578	7	35	once	once	SCONJ
ajst-15578	7	36	it	it	PRON
ajst-15578	7	37	is	be	AUX
ajst-15578	7	38	not	not	PART
ajst-15578	7	39	identified	identify	VERB
ajst-15578	7	40	and	and	CCONJ
ajst-15578	7	41	effectively	effectively	ADV
ajst-15578	7	42	controlled	control	VERB
ajst-15578	7	43	in	in	ADP
ajst-15578	7	44	time	time	NOUN
ajst-15578	7	45	,	,	PUNCT
ajst-15578	7	46	it	it	PRON
ajst-15578	7	47	can	can	AUX
ajst-15578	7	48	further	far	ADV
ajst-15578	7	49	lead	lead	VERB
ajst-15578	7	50	to	to	ADP
ajst-15578	7	51	a	a	DET
ajst-15578	7	52	series	series	NOUN
ajst-15578	7	53	of	of	ADP
ajst-15578	7	54	malicious	malicious	ADJ
ajst-15578	7	55	accidents	accident	NOUN
ajst-15578	7	56	,	,	PUNCT
ajst-15578	7	57	endangering	endanger	VERB
ajst-15578	7	58	the	the	DET
ajst-15578	7	59	lives	life	NOUN
ajst-15578	7	60	of	of	ADP
ajst-15578	7	61	people	people	NOUN
ajst-15578	7	62	and	and	CCONJ
ajst-15578	7	63	property.[1	property.[1	NOUN
ajst-15578	7	64	-	-	PUNCT
ajst-15578	7	65	3	3	NUM
ajst-15578	7	66	]	]	PUNCT
ajst-15578	7	67	the	the	DET
ajst-15578	7	68	safety	safety	NOUN
ajst-15578	7	69	of	of	ADP
ajst-15578	7	70	life	life	NOUN
ajst-15578	7	71	and	and	CCONJ
ajst-15578	7	72	property	property	NOUN
ajst-15578	7	73	is	be	AUX
ajst-15578	7	74	at	at	ADP
ajst-15578	7	75	risk	risk	NOUN
ajst-15578	7	76	.	.	PUNCT
ajst-15578	8	1	with	with	ADP
ajst-15578	8	2	the	the	DET
ajst-15578	8	3	continuous	continuous	ADJ
ajst-15578	8	4	development	development	NOUN
ajst-15578	8	5	and	and	CCONJ
ajst-15578	8	6	popularization	popularization	NOUN
ajst-15578	8	7	of	of	ADP
ajst-15578	8	8	big	big	ADJ
ajst-15578	8	9	data	datum	NOUN
ajst-15578	8	10	and	and	CCONJ
ajst-15578	8	11	artificial	artificial	ADJ
ajst-15578	8	12	intelligence	intelligence	NOUN
ajst-15578	8	13	,	,	PUNCT
ajst-15578	8	14	various	various	ADJ
ajst-15578	8	15	intelligent	intelligent	ADJ
ajst-15578	8	16	oil	oil	NOUN
ajst-15578	8	17	and	and	CCONJ
ajst-15578	8	18	gas	gas	NOUN
ajst-15578	8	19	development	development	NOUN
ajst-15578	8	20	technologies	technology	NOUN
ajst-15578	8	21	are	be	AUX
ajst-15578	8	22	gradually	gradually	ADV
ajst-15578	8	23	emerging.[4	emerging.[4	ADJ
ajst-15578	8	24	]	]	X
ajst-15578	9	1	the	the	DET
ajst-15578	9	2	intelligent	intelligent	ADJ
ajst-15578	9	3	monitoring	monitoring	NOUN
ajst-15578	9	4	of	of	ADP
ajst-15578	9	5	overflow	overflow	NOUN
ajst-15578	9	6	is	be	AUX
ajst-15578	9	7	also	also	ADV
ajst-15578	9	8	an	an	DET
ajst-15578	9	9	indispensable	indispensable	ADJ
ajst-15578	9	10	part	part	NOUN
ajst-15578	9	11	of	of	ADP
ajst-15578	9	12	oil	oil	NOUN
ajst-15578	9	13	and	and	CCONJ
ajst-15578	9	14	gas	gas	NOUN
ajst-15578	9	15	development	development	NOUN
ajst-15578	9	16	technology	technology	NOUN
ajst-15578	9	17	research.[5	research.[5	ADV
ajst-15578	9	18	]	]	PUNCT
ajst-15578	10	1	the	the	DET
ajst-15578	10	2	intelligent	intelligent	ADJ
ajst-15578	10	3	monitoring	monitoring	NOUN
ajst-15578	10	4	of	of	ADP
ajst-15578	10	5	spills	spill	NOUN
ajst-15578	10	6	is	be	AUX
ajst-15578	10	7	also	also	ADV
ajst-15578	10	8	an	an	DET
ajst-15578	10	9	integral	integral	ADJ
ajst-15578	10	10	part	part	NOUN
ajst-15578	10	11	of	of	ADP
ajst-15578	10	12	the	the	DET
ajst-15578	10	13	current	current	ADJ
ajst-15578	10	14	research	research	NOUN
ajst-15578	10	15	on	on	ADP
ajst-15578	10	16	oil	oil	NOUN
ajst-15578	10	17	and	and	CCONJ
ajst-15578	10	18	gas	gas	NOUN
ajst-15578	10	19	development	development	NOUN
ajst-15578	10	20	technologies	technology	NOUN
ajst-15578	10	21	.	.	PUNCT
ajst-15578	11	1	through	through	ADP
ajst-15578	11	2	the	the	DET
ajst-15578	11	3	research	research	NOUN
ajst-15578	11	4	of	of	ADP
ajst-15578	11	5	some	some	DET
ajst-15578	11	6	scholars	scholar	NOUN
ajst-15578	11	7	on	on	ADP
ajst-15578	11	8	the	the	DET
ajst-15578	11	9	mechanism	mechanism	NOUN
ajst-15578	11	10	of	of	ADP
ajst-15578	11	11	overflow	overflow	NOUN
ajst-15578	11	12	occurrence	occurrence	NOUN
ajst-15578	11	13	and	and	CCONJ
ajst-15578	11	14	the	the	DET
ajst-15578	11	15	summary	summary	NOUN
ajst-15578	11	16	of	of	ADP
ajst-15578	11	17	field	field	NOUN
ajst-15578	11	18	experience	experience	NOUN
ajst-15578	11	19	,	,	PUNCT
ajst-15578	11	20	we	we	PRON
ajst-15578	11	21	can	can	AUX
ajst-15578	11	22	determine	determine	VERB
ajst-15578	11	23	whether	whether	SCONJ
ajst-15578	11	24	an	an	DET
ajst-15578	11	25	overflow	overflow	NOUN
ajst-15578	11	26	has	have	AUX
ajst-15578	11	27	occurred	occur	VERB
ajst-15578	11	28	with	with	ADP
ajst-15578	11	29	the	the	DET
ajst-15578	11	30	help	help	NOUN
ajst-15578	11	31	of	of	ADP
ajst-15578	11	32	a	a	DET
ajst-15578	11	33	series	series	NOUN
ajst-15578	11	34	of	of	ADP
ajst-15578	11	35	relevant	relevant	ADJ
ajst-15578	11	36	signs	sign	NOUN
ajst-15578	11	37	.	.	PUNCT
ajst-15578	12	1	the	the	DET
ajst-15578	12	2	traditional	traditional	ADJ
ajst-15578	12	3	means	mean	NOUN
ajst-15578	12	4	of	of	ADP
ajst-15578	12	5	overflow	overflow	NOUN
ajst-15578	12	6	monitoring	monitoring	NOUN
ajst-15578	12	7	is	be	AUX
ajst-15578	12	8	carried	carry	VERB
ajst-15578	12	9	out	out	ADP
ajst-15578	12	10	through	through	ADP
ajst-15578	12	11	the	the	DET
ajst-15578	12	12	research	research	NOUN
ajst-15578	12	13	on	on	ADP
ajst-15578	12	14	the	the	DET
ajst-15578	12	15	mechanism	mechanism	NOUN
ajst-15578	12	16	of	of	ADP
ajst-15578	12	17	overflow	overflow	NOUN
ajst-15578	12	18	occurrence	occurrence	NOUN
ajst-15578	12	19	and	and	CCONJ
ajst-15578	12	20	the	the	DET
ajst-15578	12	21	summary	summary	NOUN
ajst-15578	12	22	of	of	ADP
ajst-15578	12	23	field	field	NOUN
ajst-15578	12	24	experience	experience	NOUN
ajst-15578	12	25	with	with	ADP
ajst-15578	12	26	the	the	DET
ajst-15578	12	27	help	help	NOUN
ajst-15578	12	28	of	of	ADP
ajst-15578	12	29	a	a	DET
ajst-15578	12	30	series	series	NOUN
ajst-15578	12	31	of	of	ADP
ajst-15578	12	32	relevant	relevant	ADJ
ajst-15578	12	33	signs	sign	NOUN
ajst-15578	12	34	,	,	PUNCT
ajst-15578	12	35	which	which	PRON
ajst-15578	12	36	are	be	AUX
ajst-15578	12	37	mainly	mainly	ADV
ajst-15578	12	38	divided	divide	VERB
ajst-15578	12	39	into	into	ADP
ajst-15578	12	40	three	three	NUM
ajst-15578	12	41	categories	category	NOUN
ajst-15578	12	42	according	accord	VERB
ajst-15578	12	43	to	to	ADP
ajst-15578	12	44	the	the	DET
ajst-15578	12	45	source	source	NOUN
ajst-15578	12	46	of	of	ADP
ajst-15578	12	47	monitoring	monitor	VERB
ajst-15578	12	48	parameters	parameter	NOUN
ajst-15578	12	49	:	:	PUNCT
ajst-15578	12	50	surface	surface	NOUN
ajst-15578	12	51	monitoring	monitoring	NOUN
ajst-15578	12	52	,	,	PUNCT
ajst-15578	12	53	wellhead	wellhead	NOUN
ajst-15578	12	54	monitoring	monitoring	NOUN
ajst-15578	12	55	and	and	CCONJ
ajst-15578	12	56	downhole	downhole	NOUN
ajst-15578	12	57	monitoring	monitoring	NOUN
ajst-15578	12	58	.	.	PUNCT
ajst-15578	13	1	when	when	SCONJ
ajst-15578	13	2	the	the	DET
ajst-15578	13	3	overflow	overflow	NOUN
ajst-15578	13	4	occurs	occur	VERB
ajst-15578	13	5	,	,	PUNCT
ajst-15578	13	6	the	the	DET
ajst-15578	13	7	characteristic	characteristic	ADJ
ajst-15578	13	8	patterns	pattern	NOUN
ajst-15578	13	9	of	of	ADP
ajst-15578	13	10	change	change	NOUN
ajst-15578	13	11	of	of	ADP
ajst-15578	13	12	the	the	DET
ajst-15578	13	13	above	above	ADJ
ajst-15578	13	14	three	three	NUM
ajst-15578	13	15	types	type	NOUN
ajst-15578	13	16	of	of	ADP
ajst-15578	13	17	parameters	parameter	NOUN
ajst-15578	13	18	are	be	AUX
ajst-15578	13	19	as	as	SCONJ
ajst-15578	13	20	follows	follow	VERB
ajst-15578	13	21	.	.	PUNCT
ajst-15578	14	1	(	(	PUNCT
ajst-15578	14	2	1	1	X
ajst-15578	14	3	)	)	PUNCT
ajst-15578	14	4	the	the	DET
ajst-15578	14	5	change	change	NOUN
ajst-15578	14	6	pattern	pattern	NOUN
ajst-15578	14	7	of	of	ADP
ajst-15578	14	8	comprehensive	comprehensive	ADJ
ajst-15578	14	9	logging	log	VERB
ajst-15578	14	10	parameters	parameter	NOUN
ajst-15578	14	11	on	on	ADP
ajst-15578	14	12	the	the	DET
ajst-15578	14	13	surface	surface	NOUN
ajst-15578	14	14	:	:	PUNCT
ajst-15578	14	15	the	the	DET
ajst-15578	14	16	tank	tank	NOUN
ajst-15578	14	17	volume	volume	NOUN
ajst-15578	14	18	increases	increase	NOUN
ajst-15578	14	19	,	,	PUNCT
ajst-15578	14	20	the	the	DET
ajst-15578	14	21	hook	hook	NOUN
ajst-15578	14	22	load	load	NOUN
ajst-15578	14	23	increases	increase	NOUN
ajst-15578	14	24	,	,	PUNCT
ajst-15578	14	25	the	the	DET
ajst-15578	14	26	standpipe	standpipe	NOUN
ajst-15578	14	27	pressure	pressure	NOUN
ajst-15578	14	28	changes	change	NOUN
ajst-15578	14	29	,	,	PUNCT
ajst-15578	14	30	the	the	DET
ajst-15578	14	31	drilling	drilling	NOUN
ajst-15578	14	32	speed	speed	NOUN
ajst-15578	14	33	increases	increase	NOUN
ajst-15578	14	34	,	,	PUNCT
ajst-15578	14	35	the	the	DET
ajst-15578	14	36	rate	rate	NOUN
ajst-15578	14	37	of	of	ADP
ajst-15578	14	38	penetration	penetration	NOUN
ajst-15578	14	39	and	and	CCONJ
ajst-15578	14	40	weighton	weighton	NOUN
ajst-15578	14	41	-	-	PUNCT
ajst-15578	14	42	bit	bit	NOUN
ajst-15578	14	43	decreases	decrease	NOUN
ajst-15578	14	44	,	,	PUNCT
ajst-15578	14	45	the	the	DET
ajst-15578	14	46	gas	gas	NOUN
ajst-15578	14	47	changes	change	NOUN
ajst-15578	14	48	,	,	PUNCT
ajst-15578	14	49	and	and	CCONJ
ajst-15578	14	50	the	the	DET
ajst-15578	14	51	temperature	temperature	NOUN
ajst-15578	14	52	,	,	PUNCT
ajst-15578	14	53	density	density	NOUN
ajst-15578	14	54	and	and	CCONJ
ajst-15578	14	55	resistivity	resistivity	NOUN
ajst-15578	14	56	of	of	ADP
ajst-15578	14	57	the	the	DET
ajst-15578	14	58	returned	return	VERB
ajst-15578	14	59	drilling	drilling	NOUN
ajst-15578	14	60	fluid	fluid	NOUN
ajst-15578	14	61	changes	change	NOUN
ajst-15578	14	62	,	,	PUNCT
ajst-15578	14	63	(	(	PUNCT
ajst-15578	14	64	2	2	X
ajst-15578	14	65	)	)	PUNCT
ajst-15578	14	66	wellhead	wellhead	NOUN
ajst-15578	14	67	flowmeter	flowmeter	NOUN
ajst-15578	14	68	parameter	parameter	NOUN
ajst-15578	14	69	change	change	NOUN
ajst-15578	14	70	pattern	pattern	NOUN
ajst-15578	14	71	:	:	PUNCT
ajst-15578	14	72	the	the	DET
ajst-15578	14	73	drilling	drilling	NOUN
ajst-15578	14	74	fluid	fluid	NOUN
ajst-15578	14	75	outlet	outlet	NOUN
ajst-15578	14	76	flow	flow	NOUN
ajst-15578	14	77	rate	rate	NOUN
ajst-15578	14	78	increases	increase	NOUN
ajst-15578	14	79	relative	relative	ADJ
ajst-15578	14	80	to	to	ADP
ajst-15578	14	81	the	the	DET
ajst-15578	14	82	inlet	inlet	NOUN
ajst-15578	14	83	flow	flow	NOUN
ajst-15578	14	84	rate	rate	NOUN
ajst-15578	14	85	,	,	PUNCT
ajst-15578	14	86	(	(	PUNCT
ajst-15578	14	87	3	3	X
ajst-15578	14	88	)	)	PUNCT
ajst-15578	14	89	downhole	downhole	NOUN
ajst-15578	14	90	monitoring	monitoring	NOUN
ajst-15578	14	91	with	with	ADP
ajst-15578	14	92	drilling	drilling	NOUN
ajst-15578	14	93	:	:	PUNCT
ajst-15578	14	94	increase	increase	VERB
ajst-15578	14	95	in	in	ADP
ajst-15578	14	96	downhole	downhole	ADJ
ajst-15578	14	97	annulus	annulus	NOUN
ajst-15578	14	98	pressure	pressure	NOUN
ajst-15578	14	99	and	and	CCONJ
ajst-15578	14	100	downhole	downhole	NOUN
ajst-15578	14	101	fluid	fluid	ADJ
ajst-15578	14	102	temperature	temperature	NOUN
ajst-15578	14	103	,	,	PUNCT
ajst-15578	14	104	and	and	CCONJ
ajst-15578	14	105	change	change	NOUN
ajst-15578	14	106	in	in	ADP
ajst-15578	14	107	downhole	downhole	NOUN
ajst-15578	14	108	drilling	drilling	NOUN
ajst-15578	14	109	fluid	fluid	NOUN
ajst-15578	14	110	resistivity	resistivity	NOUN
ajst-15578	14	111	.	.	PUNCT
ajst-15578	15	1	comprehensive	comprehensive	ADJ
ajst-15578	15	2	surface	surface	NOUN
ajst-15578	15	3	logging	log	VERB
ajst-15578	15	4	monitoring	monitoring	NOUN
ajst-15578	15	5	is	be	AUX
ajst-15578	15	6	to	to	PART
ajst-15578	15	7	monitor	monitor	VERB
ajst-15578	15	8	and	and	CCONJ
ajst-15578	15	9	analyze	analyze	VERB
ajst-15578	15	10	the	the	DET
ajst-15578	15	11	changes	change	NOUN
ajst-15578	15	12	of	of	ADP
ajst-15578	15	13	integrated	integrated	ADJ
ajst-15578	15	14	logging	log	VERB
ajst-15578	15	15	parameters	parameter	NOUN
ajst-15578	15	16	such	such	ADJ
ajst-15578	15	17	as	as	ADP
ajst-15578	15	18	the	the	DET
ajst-15578	15	19	tank	tank	NOUN
ajst-15578	15	20	volume	volume	NOUN
ajst-15578	15	21	,	,	PUNCT
ajst-15578	15	22	hook	hook	NOUN
ajst-15578	15	23	load	load	NOUN
ajst-15578	15	24	,	,	PUNCT
ajst-15578	15	25	standpipe	standpipe	NOUN
ajst-15578	15	26	pressure	pressure	NOUN
ajst-15578	15	27	.	.	PUNCT
ajst-15578	16	1	liang	liang	PROPN
ajst-15578	16	2	et	et	PROPN
ajst-15578	16	3	al.[6	al.[6	PROPN
ajst-15578	16	4	]	]	PUNCT
ajst-15578	16	5	(	(	PUNCT
ajst-15578	16	6	2019	2019	NUM
ajst-15578	16	7	)	)	PUNCT
ajst-15578	16	8	established	establish	VERB
ajst-15578	16	9	an	an	DET
ajst-15578	16	10	early	early	ADJ
ajst-15578	16	11	intelligent	intelligent	ADJ
ajst-15578	16	12	diagnosis	diagnosis	NOUN
ajst-15578	16	13	model	model	NOUN
ajst-15578	16	14	of	of	ADP
ajst-15578	16	15	drilling	drilling	NOUN
ajst-15578	16	16	overflow	overflow	NOUN
ajst-15578	16	17	by	by	ADP
ajst-15578	16	18	using	use	VERB
ajst-15578	16	19	ga	ga	PROPN
ajst-15578	16	20	-	-	PUNCT
ajst-15578	16	21	bp	bp	PROPN
ajst-15578	16	22	after	after	ADP
ajst-15578	16	23	feature	feature	NOUN
ajst-15578	16	24	extraction	extraction	NOUN
ajst-15578	16	25	of	of	ADP
ajst-15578	16	26	standpipe	standpipe	NOUN
ajst-15578	16	27	pressure	pressure	NOUN
ajst-15578	16	28	(	(	PUNCT
ajst-15578	16	29	spp	spp	NOUN
ajst-15578	16	30	)	)	PUNCT
ajst-15578	16	31	and	and	CCONJ
ajst-15578	16	32	casing	case	VERB
ajst-15578	16	33	pressure	pressure	NOUN
ajst-15578	16	34	(	(	PUNCT
ajst-15578	16	35	cp	cp	NOUN
ajst-15578	16	36	)	)	PUNCT
ajst-15578	16	37	monitoring	monitor	VERB
ajst-15578	16	38	data	datum	NOUN
ajst-15578	16	39	,	,	PUNCT
ajst-15578	16	40	which	which	PRON
ajst-15578	16	41	reduced	reduce	VERB
ajst-15578	16	42	the	the	DET
ajst-15578	16	43	error	error	NOUN
ajst-15578	16	44	caused	cause	VERB
ajst-15578	16	45	by	by	ADP
ajst-15578	16	46	single	single	ADJ
ajst-15578	16	47	feature	feature	NOUN
ajst-15578	16	48	parameter	parameter	NOUN
ajst-15578	16	49	selection	selection	NOUN
ajst-15578	16	50	and	and	CCONJ
ajst-15578	16	51	reduced	reduce	VERB
ajst-15578	16	52	the	the	DET
ajst-15578	16	53	probability	probability	NOUN
ajst-15578	16	54	of	of	ADP
ajst-15578	16	55	overflow	overflow	ADJ
ajst-15578	16	56	misclassification	misclassification	NOUN
ajst-15578	16	57	.	.	PUNCT
ajst-15578	17	1	liang	liang	PROPN
ajst-15578	17	2	et	et	PROPN
ajst-15578	17	3	al.[7	al.[7	PROPN
ajst-15578	17	4	]	]	X
ajst-15578	17	5	(	(	PUNCT
ajst-15578	17	6	2021	2021	NUM
ajst-15578	17	7	)	)	PUNCT
ajst-15578	17	8	proposed	propose	VERB
ajst-15578	17	9	a	a	DET
ajst-15578	17	10	remote	remote	ADJ
ajst-15578	17	11	monitoring	monitoring	NOUN
ajst-15578	17	12	platform	platform	NOUN
ajst-15578	17	13	for	for	ADP
ajst-15578	17	14	overflow	overflow	NOUN
ajst-15578	17	15	accidents	accident	NOUN
ajst-15578	17	16	,	,	PUNCT
ajst-15578	17	17	which	which	PRON
ajst-15578	17	18	optimized	optimize	VERB
ajst-15578	17	19	the	the	DET
ajst-15578	17	20	diagnosis	diagnosis	NOUN
ajst-15578	17	21	method	method	NOUN
ajst-15578	17	22	of	of	ADP
ajst-15578	17	23	overflow	overflow	ADJ
ajst-15578	17	24	accidents	accident	NOUN
ajst-15578	17	25	and	and	CCONJ
ajst-15578	17	26	established	establish	VERB
ajst-15578	17	27	a	a	DET
ajst-15578	17	28	random	random	ADJ
ajst-15578	17	29	forest	forest	NOUN
ajst-15578	17	30	overflow	overflow	NOUN
ajst-15578	17	31	accident	accident	NOUN
ajst-15578	17	32	identification	identification	NOUN
ajst-15578	17	33	and	and	CCONJ
ajst-15578	17	34	classification	classification	NOUN
ajst-15578	17	35	model	model	NOUN
ajst-15578	17	36	based	base	VERB
ajst-15578	17	37	on	on	ADP
ajst-15578	17	38	the	the	DET
ajst-15578	17	39	optimization	optimization	NOUN
ajst-15578	17	40	of	of	ADP
ajst-15578	17	41	bat	bat	NOUN
ajst-15578	17	42	algorithm	algorithm	NOUN
ajst-15578	17	43	,	,	PUNCT
ajst-15578	17	44	which	which	PRON
ajst-15578	17	45	can	can	AUX
ajst-15578	17	46	optimize	optimize	VERB
ajst-15578	17	47	the	the	DET
ajst-15578	17	48	optimal	optimal	ADJ
ajst-15578	17	49	parameter	parameter	NOUN
ajst-15578	17	50	combination	combination	NOUN
ajst-15578	17	51	and	and	CCONJ
ajst-15578	17	52	has	have	VERB
ajst-15578	17	53	the	the	DET
ajst-15578	17	54	ability	ability	NOUN
ajst-15578	17	55	to	to	PART
ajst-15578	17	56	handle	handle	VERB
ajst-15578	17	57	a	a	DET
ajst-15578	17	58	large	large	ADJ
ajst-15578	17	59	number	number	NOUN
ajst-15578	17	60	of	of	ADP
ajst-15578	17	61	eigenvalues	eigenvalue	NOUN
ajst-15578	17	62	.	.	PUNCT
ajst-15578	18	1	wellhead	wellhead	NOUN
ajst-15578	18	2	monitoring	monitoring	NOUN
ajst-15578	18	3	is	be	AUX
ajst-15578	18	4	to	to	PART
ajst-15578	18	5	monitor	monitor	VERB
ajst-15578	18	6	and	and	CCONJ
ajst-15578	18	7	analyze	analyze	VERB
ajst-15578	18	8	the	the	DET
ajst-15578	18	9	change	change	NOUN
ajst-15578	18	10	of	of	ADP
ajst-15578	18	11	drilling	drilling	NOUN
ajst-15578	18	12	fluid	fluid	ADJ
ajst-15578	18	13	outlet	outlet	NOUN
ajst-15578	18	14	flow	flow	NOUN
ajst-15578	18	15	rate	rate	NOUN
ajst-15578	18	16	relative	relative	ADJ
ajst-15578	18	17	to	to	ADP
ajst-15578	18	18	the	the	DET
ajst-15578	18	19	inlet	inlet	NOUN
ajst-15578	18	20	flow	flow	NOUN
ajst-15578	18	21	rate	rate	NOUN
ajst-15578	18	22	,	,	PUNCT
ajst-15578	18	23	which	which	PRON
ajst-15578	18	24	increases	increase	VERB
ajst-15578	18	25	when	when	SCONJ
ajst-15578	18	26	formation	formation	NOUN
ajst-15578	18	27	fluid	fluid	NOUN
ajst-15578	18	28	intrudes	intrude	VERB
ajst-15578	18	29	into	into	ADP
ajst-15578	18	30	the	the	DET
ajst-15578	18	31	wellbore	wellbore	NOUN
ajst-15578	18	32	.	.	PUNCT
ajst-15578	19	1	liang	liang	PROPN
ajst-15578	19	2	et	et	PROPN
ajst-15578	19	3	al.[8	al.[8	PROPN
ajst-15578	19	4	]	]	PUNCT
ajst-15578	19	5	(	(	PUNCT
ajst-15578	19	6	2019	2019	NUM
ajst-15578	19	7	)	)	PUNCT
ajst-15578	19	8	proposed	propose	VERB
ajst-15578	19	9	a	a	DET
ajst-15578	19	10	dynamic	dynamic	ADJ
ajst-15578	19	11	clustering	clustering	NOUN
ajst-15578	19	12	-	-	PUNCT
ajst-15578	19	13	based	base	VERB
ajst-15578	19	14	early	early	ADJ
ajst-15578	19	15	-	-	PUNCT
ajst-15578	19	16	stage	stage	NOUN
ajst-15578	19	17	overflow	overflow	NOUN
ajst-15578	19	18	intelligence	intelligence	NOUN
ajst-15578	19	19	warning	warning	NOUN
ajst-15578	19	20	model	model	NOUN
ajst-15578	19	21	,	,	PUNCT
ajst-15578	19	22	which	which	PRON
ajst-15578	19	23	was	be	AUX
ajst-15578	19	24	established	establish	VERB
ajst-15578	19	25	by	by	ADP
ajst-15578	19	26	using	use	VERB
ajst-15578	19	27	k	k	PROPN
ajst-15578	19	28	-	-	PUNCT
ajst-15578	19	29	means	mean	VERB
ajst-15578	19	30	clustering	cluster	VERB
ajst-15578	19	31	algorithm	algorithm	NOUN
ajst-15578	19	32	after	after	ADP
ajst-15578	19	33	correction	correction	NOUN
ajst-15578	19	34	of	of	ADP
ajst-15578	19	35	the	the	DET
ajst-15578	19	36	instantaneous	instantaneous	ADJ
ajst-15578	19	37	outlet	outlet	NOUN
ajst-15578	19	38	flow	flow	NOUN
ajst-15578	19	39	rate	rate	NOUN
ajst-15578	19	40	,	,	PUNCT
ajst-15578	19	41	overcoming	overcome	VERB
ajst-15578	19	42	the	the	DET
ajst-15578	19	43	problems	problem	NOUN
ajst-15578	19	44	of	of	ADP
ajst-15578	19	45	lagging	lag	VERB
ajst-15578	19	46	and	and	CCONJ
ajst-15578	19	47	low	low	ADJ
ajst-15578	19	48	accuracy	accuracy	NOUN
ajst-15578	19	49	of	of	ADP
ajst-15578	19	50	the	the	DET
ajst-15578	19	51	traditional	traditional	ADJ
ajst-15578	19	52	spill	spill	NOUN
ajst-15578	19	53	monitoring	monitoring	NOUN
ajst-15578	19	54	methods	method	NOUN
ajst-15578	19	55	.	.	PUNCT
ajst-15578	20	1	downhole	downhole	NOUN
ajst-15578	20	2	with	with	ADP
ajst-15578	20	3	-	-	PUNCT
ajst-15578	20	4	drilling	drilling	NOUN
ajst-15578	20	5	monitoring	monitoring	NOUN
ajst-15578	20	6	is	be	AUX
ajst-15578	20	7	to	to	PART
ajst-15578	20	8	monitor	monitor	VERB
ajst-15578	20	9	and	and	CCONJ
ajst-15578	20	10	analyze	analyze	VERB
ajst-15578	20	11	the	the	DET
ajst-15578	20	12	changes	change	NOUN
ajst-15578	20	13	of	of	ADP
ajst-15578	20	14	downhole	downhole	NOUN
ajst-15578	20	15	with	with	ADP
ajst-15578	20	16	-	-	PUNCT
ajst-15578	20	17	drilling	drill	VERB
ajst-15578	20	18	measurement	measurement	NOUN
ajst-15578	20	19	parameters	parameter	NOUN
ajst-15578	20	20	such	such	ADJ
ajst-15578	20	21	as	as	ADP
ajst-15578	20	22	downhole	downhole	NOUN
ajst-15578	20	23	annular	annular	ADJ
ajst-15578	20	24	pressure	pressure	NOUN
ajst-15578	20	25	and	and	CCONJ
ajst-15578	20	26	downhole	downhole	ADJ
ajst-15578	20	27	annular	annular	ADJ
ajst-15578	20	28	temperature	temperature	NOUN
ajst-15578	20	29	.	.	PUNCT
ajst-15578	21	1	deng	deng	PROPN
ajst-15578	21	2	et	et	PROPN
ajst-15578	21	3	al.[9	al.[9	PROPN
ajst-15578	21	4	]	]	PUNCT
ajst-15578	21	5	(	(	PUNCT
ajst-15578	21	6	2018	2018	NUM
ajst-15578	21	7	)	)	PUNCT
ajst-15578	21	8	proposed	propose	VERB
ajst-15578	21	9	to	to	PART
ajst-15578	21	10	propose	propose	VERB
ajst-15578	21	11	an	an	DET
ajst-15578	21	12	intelligent	intelligent	ADJ
ajst-15578	21	13	early	early	ADJ
ajst-15578	21	14	-	-	PUNCT
ajst-15578	21	15	warning	warning	NOUN
ajst-15578	21	16	model	model	NOUN
ajst-15578	21	17	of	of	ADP
ajst-15578	21	18	overflow	overflow	NOUN
ajst-15578	21	19	based	base	VERB
ajst-15578	21	20	on	on	ADP
ajst-15578	21	21	stratified	stratified	ADJ
ajst-15578	21	22	fuzzy	fuzzy	ADJ
ajst-15578	21	23	expert	expert	NOUN
ajst-15578	21	24	system	system	NOUN
ajst-15578	21	25	to	to	PART
ajst-15578	21	26	achieve	achieve	VERB
ajst-15578	21	27	intelligent	intelligent	ADJ
ajst-15578	21	28	earlywarning	earlywarning	NOUN
ajst-15578	21	29	of	of	ADP
ajst-15578	21	30	drilling	drilling	NOUN
ajst-15578	21	31	overflow	overflow	NOUN
ajst-15578	21	32	using	use	VERB
ajst-15578	21	33	downhole	downhole	NOUN
ajst-15578	21	34	parameter	parameter	NOUN
ajst-15578	21	35	measurements	measurement	NOUN
ajst-15578	21	36	.	.	PUNCT
ajst-15578	22	1	liang	liang	PROPN
ajst-15578	22	2	et	et	PROPN
ajst-15578	22	3	al.[10	al.[10	PROPN
ajst-15578	22	4	]	]	X
ajst-15578	22	5	(	(	PUNCT
ajst-15578	22	6	2020	2020	NUM
ajst-15578	22	7	)	)	PUNCT
ajst-15578	22	8	proposed	propose	VERB
ajst-15578	22	9	an	an	DET
ajst-15578	22	10	optimized	optimize	VERB
ajst-15578	22	11	99	99	NUM
ajst-15578	22	12	structure	structure	NOUN
ajst-15578	22	13	of	of	ADP
ajst-15578	22	14	downhole	downhole	ADJ
ajst-15578	22	15	annular	annular	ADJ
ajst-15578	22	16	flow	flow	NOUN
ajst-15578	22	17	electromagnetic	electromagnetic	ADJ
ajst-15578	22	18	measurement	measurement	NOUN
ajst-15578	22	19	to	to	PART
ajst-15578	22	20	improve	improve	VERB
ajst-15578	22	21	the	the	DET
ajst-15578	22	22	accuracy	accuracy	NOUN
ajst-15578	22	23	of	of	ADP
ajst-15578	22	24	downhole	downhole	ADJ
ajst-15578	22	25	annular	annular	ADJ
ajst-15578	22	26	flow	flow	NOUN
ajst-15578	22	27	electromagnetic	electromagnetic	ADJ
ajst-15578	22	28	measurement	measurement	NOUN
ajst-15578	22	29	system	system	NOUN
ajst-15578	22	30	.	.	PUNCT
ajst-15578	23	1	the	the	DET
ajst-15578	23	2	accuracy	accuracy	NOUN
ajst-15578	23	3	of	of	ADP
ajst-15578	23	4	surface	surface	NOUN
ajst-15578	23	5	monitoring	monitoring	NOUN
ajst-15578	23	6	data	datum	NOUN
ajst-15578	23	7	overflow	overflow	NOUN
ajst-15578	23	8	identification	identification	NOUN
ajst-15578	23	9	technology	technology	NOUN
ajst-15578	23	10	is	be	AUX
ajst-15578	23	11	high	high	ADJ
ajst-15578	23	12	,	,	PUNCT
ajst-15578	23	13	but	but	CCONJ
ajst-15578	23	14	the	the	DET
ajst-15578	23	15	real	real	ADJ
ajst-15578	23	16	-	-	PUNCT
ajst-15578	23	17	time	time	NOUN
ajst-15578	23	18	performance	performance	NOUN
ajst-15578	23	19	is	be	AUX
ajst-15578	23	20	insufficient	insufficient	ADJ
ajst-15578	23	21	;	;	PUNCT
ajst-15578	23	22	the	the	DET
ajst-15578	23	23	overflow	overflow	NOUN
ajst-15578	23	24	identification	identification	NOUN
ajst-15578	23	25	technology	technology	NOUN
ajst-15578	23	26	relying	rely	VERB
ajst-15578	23	27	on	on	ADP
ajst-15578	23	28	downhole	downhole	NOUN
ajst-15578	23	29	drilling	drilling	NOUN
ajst-15578	23	30	monitoring	monitoring	NOUN
ajst-15578	23	31	has	have	VERB
ajst-15578	23	32	good	good	ADJ
ajst-15578	23	33	real	real	ADJ
ajst-15578	23	34	-	-	PUNCT
ajst-15578	23	35	time	time	NOUN
ajst-15578	23	36	performance	performance	NOUN
ajst-15578	23	37	,	,	PUNCT
ajst-15578	23	38	but	but	CCONJ
ajst-15578	23	39	due	due	ADP
ajst-15578	23	40	to	to	ADP
ajst-15578	23	41	transmission	transmission	NOUN
ajst-15578	23	42	limitations	limitation	NOUN
ajst-15578	23	43	,	,	PUNCT
ajst-15578	23	44	a	a	DET
ajst-15578	23	45	single	single	ADJ
ajst-15578	23	46	data	data	NOUN
ajst-15578	23	47	source	source	NOUN
ajst-15578	23	48	can	can	AUX
ajst-15578	23	49	not	not	PART
ajst-15578	23	50	accurately	accurately	ADV
ajst-15578	23	51	identify	identify	VERB
ajst-15578	23	52	early	early	ADJ
ajst-15578	23	53	overflows	overflow	NOUN
ajst-15578	23	54	,	,	PUNCT
ajst-15578	23	55	so	so	SCONJ
ajst-15578	23	56	a	a	DET
ajst-15578	23	57	multi	multi	ADJ
ajst-15578	23	58	-	-	ADJ
ajst-15578	23	59	source	source	ADJ
ajst-15578	23	60	information	information	NOUN
ajst-15578	23	61	fusion	fusion	NOUN
ajst-15578	23	62	method	method	NOUN
ajst-15578	23	63	is	be	AUX
ajst-15578	23	64	proposed	propose	VERB
ajst-15578	23	65	to	to	PART
ajst-15578	23	66	improve	improve	VERB
ajst-15578	23	67	the	the	DET
ajst-15578	23	68	reliability	reliability	NOUN
ajst-15578	23	69	of	of	ADP
ajst-15578	23	70	early	early	ADJ
ajst-15578	23	71	overflow	overflow	NOUN
ajst-15578	23	72	identification	identification	NOUN
ajst-15578	23	73	.	.	PUNCT
ajst-15578	24	1	the	the	DET
ajst-15578	24	2	multi	multi	ADJ
ajst-15578	24	3	-	-	ADJ
ajst-15578	24	4	source	source	NOUN
ajst-15578	24	5	data	data	NOUN
ajst-15578	24	6	fusion	fusion	NOUN
ajst-15578	24	7	overflow	overflow	NOUN
ajst-15578	24	8	identification	identification	NOUN
ajst-15578	24	9	is	be	AUX
ajst-15578	24	10	a	a	DET
ajst-15578	24	11	highlevel	highlevel	ADJ
ajst-15578	24	12	decision	decision	NOUN
ajst-15578	24	13	level	level	NOUN
ajst-15578	24	14	fusion	fusion	NOUN
ajst-15578	24	15	of	of	ADP
ajst-15578	24	16	the	the	DET
ajst-15578	24	17	preferred	preferred	ADJ
ajst-15578	24	18	monitoring	monitoring	NOUN
ajst-15578	24	19	parameters	parameter	NOUN
ajst-15578	24	20	of	of	ADP
ajst-15578	24	21	surface	surface	NOUN
ajst-15578	24	22	integrated	integrate	VERB
ajst-15578	24	23	logging	log	VERB
ajst-15578	24	24	monitoring	monitoring	NOUN
ajst-15578	24	25	,	,	PUNCT
ajst-15578	24	26	wellhead	wellhead	NOUN
ajst-15578	24	27	flowmeter	flowmeter	NOUN
ajst-15578	24	28	monitoring	monitoring	NOUN
ajst-15578	24	29	and	and	CCONJ
ajst-15578	24	30	downhole	downhole	NOUN
ajst-15578	24	31	with	with	ADP
ajst-15578	24	32	-	-	PUNCT
ajst-15578	24	33	drilling	drilling	NOUN
ajst-15578	24	34	monitoring	monitoring	NOUN
ajst-15578	24	35	through	through	ADP
ajst-15578	24	36	an	an	DET
ajst-15578	24	37	intelligent	intelligent	ADJ
ajst-15578	24	38	identification	identification	NOUN
ajst-15578	24	39	method	method	NOUN
ajst-15578	24	40	to	to	PART
ajst-15578	24	41	fully	fully	ADV
ajst-15578	24	42	utilize	utilize	VERB
ajst-15578	24	43	the	the	DET
ajst-15578	24	44	advantages	advantage	NOUN
ajst-15578	24	45	of	of	ADP
ajst-15578	24	46	various	various	ADJ
ajst-15578	24	47	monitoring	monitoring	NOUN
ajst-15578	24	48	methods	method	NOUN
ajst-15578	24	49	,	,	PUNCT
ajst-15578	24	50	reduce	reduce	VERB
ajst-15578	24	51	the	the	DET
ajst-15578	24	52	accuracy	accuracy	NOUN
ajst-15578	24	53	requirements	requirement	NOUN
ajst-15578	24	54	and	and	CCONJ
ajst-15578	24	55	information	information	NOUN
ajst-15578	24	56	ambiguity	ambiguity	NOUN
ajst-15578	24	57	of	of	ADP
ajst-15578	24	58	a	a	DET
ajst-15578	24	59	single	single	ADJ
ajst-15578	24	60	overflow	overflow	NOUN
ajst-15578	24	61	monitoring	monitoring	NOUN
ajst-15578	24	62	method	method	NOUN
ajst-15578	24	63	,	,	PUNCT
ajst-15578	24	64	and	and	CCONJ
ajst-15578	24	65	thus	thus	ADV
ajst-15578	24	66	improve	improve	VERB
ajst-15578	24	67	the	the	DET
ajst-15578	24	68	reliability	reliability	NOUN
ajst-15578	24	69	and	and	CCONJ
ajst-15578	24	70	timeliness	timeliness	NOUN
ajst-15578	24	71	of	of	ADP
ajst-15578	24	72	early	early	ADJ
ajst-15578	24	73	overflow	overflow	NOUN
ajst-15578	24	74	identification[11	identification[11	ADV
ajst-15578	24	75	,	,	PUNCT
ajst-15578	24	76	12	12	NUM
ajst-15578	24	77	]	]	PUNCT
ajst-15578	24	78	.	.	PUNCT
ajst-15578	25	1	yin	yin	PROPN
ajst-15578	25	2	et	et	PROPN
ajst-15578	25	3	al.[13	al.[13	NOUN
ajst-15578	25	4	]	]	PUNCT
ajst-15578	25	5	(	(	PUNCT
ajst-15578	25	6	2019	2019	NUM
ajst-15578	25	7	)	)	PUNCT
ajst-15578	25	8	proposed	propose	VERB
ajst-15578	25	9	a	a	DET
ajst-15578	25	10	method	method	NOUN
ajst-15578	25	11	that	that	PRON
ajst-15578	25	12	combines	combine	VERB
ajst-15578	25	13	mud	mud	NOUN
ajst-15578	25	14	-	-	PUNCT
ajst-15578	25	15	log	log	NOUN
ajst-15578	25	16	and	and	CCONJ
ajst-15578	25	17	well	well	ADV
ajst-15578	25	18	-	-	PUNCT
ajst-15578	25	19	log	log	NOUN
ajst-15578	25	20	data	datum	NOUN
ajst-15578	25	21	to	to	PART
ajst-15578	25	22	achieve	achieve	VERB
ajst-15578	25	23	downhole	downhole	NOUN
ajst-15578	25	24	overflow	overflow	NOUN
ajst-15578	25	25	monitoring	monitoring	NOUN
ajst-15578	25	26	in	in	ADP
ajst-15578	25	27	deepwater	deepwater	PROPN
ajst-15578	25	28	hthp	hthp	PROPN
ajst-15578	25	29	wells	wells	PROPN
ajst-15578	25	30	with	with	ADP
ajst-15578	25	31	a	a	DET
ajst-15578	25	32	lm	lm	PROPN
ajst-15578	25	33	-	-	PUNCT
ajst-15578	25	34	bp	bp	PROPN
ajst-15578	25	35	neural	neural	ADJ
ajst-15578	25	36	network	network	NOUN
ajst-15578	25	37	model	model	NOUN
ajst-15578	25	38	established	establish	VERB
ajst-15578	25	39	by	by	ADP
ajst-15578	25	40	genetic	genetic	ADJ
ajst-15578	25	41	algorithm	algorithm	NOUN
ajst-15578	25	42	.	.	PUNCT
ajst-15578	26	1	li	li	PROPN
ajst-15578	26	2	et	et	PROPN
ajst-15578	26	3	al.[14	al.[14	PROPN
ajst-15578	26	4	]	]	X
ajst-15578	26	5	(	(	PUNCT
ajst-15578	26	6	2022	2022	NUM
ajst-15578	26	7	)	)	PUNCT
ajst-15578	26	8	proposed	propose	VERB
ajst-15578	26	9	a	a	DET
ajst-15578	26	10	new	new	ADJ
ajst-15578	26	11	method	method	NOUN
ajst-15578	26	12	for	for	ADP
ajst-15578	26	13	intelligent	intelligent	ADJ
ajst-15578	26	14	prediction	prediction	NOUN
ajst-15578	26	15	of	of	ADP
ajst-15578	26	16	drilling	drilling	NOUN
ajst-15578	26	17	overflow	overflow	NOUN
ajst-15578	26	18	and	and	CCONJ
ajst-15578	26	19	leakage	leakage	NOUN
ajst-15578	26	20	based	base	VERB
ajst-15578	26	21	on	on	ADP
ajst-15578	26	22	multi	multi	ADJ
ajst-15578	26	23	-	-	ADJ
ajst-15578	26	24	parameter	parameter	ADJ
ajst-15578	26	25	fusion	fusion	NOUN
ajst-15578	26	26	,	,	PUNCT
ajst-15578	26	27	using	use	VERB
ajst-15578	26	28	genetic	genetic	ADJ
ajst-15578	26	29	algorithm	algorithm	NOUN
ajst-15578	26	30	to	to	PART
ajst-15578	26	31	optimize	optimize	VERB
ajst-15578	26	32	a	a	DET
ajst-15578	26	33	multilayer	multilayer	ADJ
ajst-15578	26	34	feedforward	feedforward	NOUN
ajst-15578	26	35	neural	neural	ADJ
ajst-15578	26	36	network	network	NOUN
ajst-15578	26	37	and	and	CCONJ
ajst-15578	26	38	establish	establish	VERB
ajst-15578	26	39	a	a	DET
ajst-15578	26	40	ga	ga	PROPN
ajst-15578	26	41	-	-	PUNCT
ajst-15578	26	42	bp	bp	PROPN
ajst-15578	26	43	neural	neural	ADJ
ajst-15578	26	44	network	network	NOUN
ajst-15578	26	45	drilling	drilling	NOUN
ajst-15578	26	46	spill	spill	PROPN
ajst-15578	26	47	leakage	leakage	NOUN
ajst-15578	26	48	prediction	prediction	NOUN
ajst-15578	26	49	model	model	NOUN
ajst-15578	26	50	based	base	VERB
ajst-15578	26	51	on	on	ADP
ajst-15578	26	52	multi	multi	ADJ
ajst-15578	26	53	-	-	ADJ
ajst-15578	26	54	parameter	parameter	ADJ
ajst-15578	26	55	fusion	fusion	NOUN
ajst-15578	26	56	to	to	PART
ajst-15578	26	57	predict	predict	VERB
ajst-15578	26	58	spills	spill	NOUN
ajst-15578	26	59	by	by	ADP
ajst-15578	26	60	fusing	fuse	VERB
ajst-15578	26	61	data	datum	NOUN
ajst-15578	26	62	from	from	ADP
ajst-15578	26	63	multiple	multiple	ADJ
ajst-15578	26	64	sources	source	NOUN
ajst-15578	26	65	.	.	PUNCT
ajst-15578	27	1	however	however	ADV
ajst-15578	27	2	,	,	PUNCT
ajst-15578	27	3	in	in	ADP
ajst-15578	27	4	the	the	DET
ajst-15578	27	5	process	process	NOUN
ajst-15578	27	6	of	of	ADP
ajst-15578	27	7	downhole	downhole	NOUN
ajst-15578	27	8	data	datum	NOUN
ajst-15578	27	9	acquisition	acquisition	NOUN
ajst-15578	27	10	,	,	PUNCT
ajst-15578	27	11	the	the	DET
ajst-15578	27	12	influence	influence	NOUN
ajst-15578	27	13	of	of	ADP
ajst-15578	27	14	complex	complex	ADJ
ajst-15578	27	15	downhole	downhole	NOUN
ajst-15578	27	16	environment	environment	NOUN
ajst-15578	27	17	on	on	ADP
ajst-15578	27	18	sensors	sensor	NOUN
ajst-15578	27	19	and	and	CCONJ
ajst-15578	27	20	the	the	DET
ajst-15578	27	21	excessively	excessively	ADV
ajst-15578	27	22	long	long	ADJ
ajst-15578	27	23	data	data	NOUN
ajst-15578	27	24	transmission	transmission	NOUN
ajst-15578	27	25	distance	distance	NOUN
ajst-15578	27	26	of	of	ADP
ajst-15578	27	27	deep	deep	ADJ
ajst-15578	27	28	wells	well	NOUN
ajst-15578	27	29	and	and	CCONJ
ajst-15578	27	30	ultra	ultra	ADJ
ajst-15578	27	31	-	-	ADJ
ajst-15578	27	32	deep	deep	ADJ
ajst-15578	27	33	wells	well	NOUN
ajst-15578	27	34	will	will	AUX
ajst-15578	27	35	both	both	PRON
ajst-15578	27	36	lead	lead	VERB
ajst-15578	27	37	to	to	ADP
ajst-15578	27	38	unstable	unstable	ADJ
ajst-15578	27	39	monitoring	monitoring	NOUN
ajst-15578	27	40	data	datum	NOUN
ajst-15578	27	41	received	receive	VERB
ajst-15578	27	42	at	at	ADP
ajst-15578	27	43	the	the	DET
ajst-15578	27	44	surface	surface	NOUN
ajst-15578	27	45	,	,	PUNCT
ajst-15578	27	46	the	the	DET
ajst-15578	27	47	change	change	NOUN
ajst-15578	27	48	of	of	ADP
ajst-15578	27	49	missing	miss	VERB
ajst-15578	27	50	data	datum	NOUN
ajst-15578	27	51	is	be	AUX
ajst-15578	27	52	random	random	ADJ
ajst-15578	27	53	,	,	PUNCT
ajst-15578	27	54	and	and	CCONJ
ajst-15578	27	55	the	the	DET
ajst-15578	27	56	monitoring	monitoring	NOUN
ajst-15578	27	57	data	datum	NOUN
ajst-15578	27	58	of	of	ADP
ajst-15578	27	59	downhole	downhole	NOUN
ajst-15578	27	60	may	may	AUX
ajst-15578	27	61	have	have	VERB
ajst-15578	27	62	a	a	DET
ajst-15578	27	63	single	single	ADJ
ajst-15578	27	64	missing	missing	ADJ
ajst-15578	27	65	data	datum	NOUN
ajst-15578	27	66	at	at	ADP
ajst-15578	27	67	one	one	NUM
ajst-15578	27	68	moment	moment	NOUN
ajst-15578	27	69	and	and	CCONJ
ajst-15578	27	70	multiple	multiple	ADJ
ajst-15578	27	71	missing	miss	VERB
ajst-15578	27	72	data	datum	NOUN
ajst-15578	27	73	at	at	ADP
ajst-15578	27	74	the	the	DET
ajst-15578	27	75	same	same	ADJ
ajst-15578	27	76	moment	moment	NOUN
ajst-15578	27	77	,	,	PUNCT
ajst-15578	27	78	thus	thus	ADV
ajst-15578	27	79	affecting	affect	VERB
ajst-15578	27	80	the	the	DET
ajst-15578	27	81	accuracy	accuracy	NOUN
ajst-15578	27	82	of	of	ADP
ajst-15578	27	83	overflow	overflow	ADJ
ajst-15578	27	84	identification	identification	NOUN
ajst-15578	27	85	.	.	PUNCT
ajst-15578	28	1	in	in	ADP
ajst-15578	28	2	response	response	NOUN
ajst-15578	28	3	to	to	ADP
ajst-15578	28	4	the	the	DET
ajst-15578	28	5	above	above	ADV
ajst-15578	28	6	-	-	PUNCT
ajst-15578	28	7	mentioned	mention	VERB
ajst-15578	28	8	problems	problem	NOUN
ajst-15578	28	9	of	of	ADP
ajst-15578	28	10	insufficient	insufficient	ADJ
ajst-15578	28	11	real	real	ADJ
ajst-15578	28	12	-	-	PUNCT
ajst-15578	28	13	time	time	NOUN
ajst-15578	28	14	and	and	CCONJ
ajst-15578	28	15	low	low	ADJ
ajst-15578	28	16	reliability	reliability	NOUN
ajst-15578	28	17	of	of	ADP
ajst-15578	28	18	traditional	traditional	ADJ
ajst-15578	28	19	single	single	ADJ
ajst-15578	28	20	monitoring	monitoring	NOUN
ajst-15578	28	21	means	mean	NOUN
ajst-15578	28	22	;	;	PUNCT
ajst-15578	28	23	missing	miss	VERB
ajst-15578	28	24	downhole	downhole	NOUN
ajst-15578	28	25	measurement	measurement	NOUN
ajst-15578	28	26	data	datum	NOUN
ajst-15578	28	27	affects	affect	VERB
ajst-15578	28	28	the	the	DET
ajst-15578	28	29	prediction	prediction	NOUN
ajst-15578	28	30	accuracy	accuracy	NOUN
ajst-15578	28	31	of	of	ADP
ajst-15578	28	32	multi	multi	ADJ
ajst-15578	28	33	-	-	ADJ
ajst-15578	28	34	source	source	NOUN
ajst-15578	28	35	data	data	NOUN
ajst-15578	28	36	fusion	fusion	NOUN
ajst-15578	28	37	,	,	PUNCT
ajst-15578	28	38	this	this	DET
ajst-15578	28	39	paper	paper	NOUN
ajst-15578	28	40	proposes	propose	VERB
ajst-15578	28	41	an	an	DET
ajst-15578	28	42	intelligent	intelligent	ADJ
ajst-15578	28	43	identification	identification	NOUN
ajst-15578	28	44	method	method	NOUN
ajst-15578	28	45	of	of	ADP
ajst-15578	28	46	early	early	ADJ
ajst-15578	28	47	overflow	overflow	NOUN
ajst-15578	28	48	based	base	VERB
ajst-15578	28	49	on	on	ADP
ajst-15578	28	50	bilstm	bilstm	NOUN
ajst-15578	28	51	-	-	PUNCT
ajst-15578	28	52	bp	bp	PROPN
ajst-15578	28	53	neural	neural	ADJ
ajst-15578	28	54	network	network	NOUN
ajst-15578	28	55	,	,	PUNCT
ajst-15578	28	56	and	and	CCONJ
ajst-15578	28	57	uses	use	VERB
ajst-15578	28	58	two	two	NUM
ajst-15578	28	59	-	-	PUNCT
ajst-15578	28	60	way	way	NOUN
ajst-15578	28	61	long	long	ADJ
ajst-15578	28	62	and	and	CCONJ
ajst-15578	28	63	short	short	ADJ
ajst-15578	28	64	-	-	PUNCT
ajst-15578	28	65	term	term	NOUN
ajst-15578	28	66	memory	memory	NOUN
ajst-15578	28	67	units	unit	NOUN
ajst-15578	28	68	to	to	PART
ajst-15578	28	69	learn	learn	VERB
ajst-15578	28	70	the	the	DET
ajst-15578	28	71	hidden	hide	VERB
ajst-15578	28	72	features	feature	NOUN
ajst-15578	28	73	and	and	CCONJ
ajst-15578	28	74	complex	complex	ADJ
ajst-15578	28	75	change	change	NOUN
ajst-15578	28	76	laws	law	NOUN
ajst-15578	28	77	of	of	ADP
ajst-15578	28	78	monitoring	monitor	VERB
ajst-15578	28	79	data	datum	NOUN
ajst-15578	28	80	,	,	PUNCT
ajst-15578	28	81	and	and	CCONJ
ajst-15578	28	82	achieves	achieve	VERB
ajst-15578	28	83	downhole	downhole	NOUN
ajst-15578	28	84	missing	miss	VERB
ajst-15578	28	85	by	by	ADP
ajst-15578	28	86	predicting	predict	VERB
ajst-15578	28	87	missing	miss	VERB
ajst-15578	28	88	values	value	NOUN
ajst-15578	28	89	the	the	DET
ajst-15578	28	90	repaired	repaired	ADJ
ajst-15578	28	91	data	datum	NOUN
ajst-15578	28	92	of	of	ADP
ajst-15578	28	93	downhole	downhole	NOUN
ajst-15578	28	94	monitoring	monitoring	NOUN
ajst-15578	28	95	,	,	PUNCT
ajst-15578	28	96	surface	surface	NOUN
ajst-15578	28	97	logging	log	VERB
ajst-15578	28	98	monitoring	monitoring	NOUN
ajst-15578	28	99	and	and	CCONJ
ajst-15578	28	100	wellhead	wellhead	NOUN
ajst-15578	28	101	high	high	ADJ
ajst-15578	28	102	-	-	PUNCT
ajst-15578	28	103	precision	precision	NOUN
ajst-15578	28	104	flowmeter	flowmeter	NOUN
ajst-15578	28	105	are	be	AUX
ajst-15578	28	106	then	then	ADV
ajst-15578	28	107	input	input	ADJ
ajst-15578	28	108	into	into	ADP
ajst-15578	28	109	the	the	DET
ajst-15578	28	110	bp	bp	PROPN
ajst-15578	28	111	neural	neural	ADJ
ajst-15578	28	112	network	network	NOUN
ajst-15578	28	113	.	.	PUNCT
ajst-15578	29	1	the	the	DET
ajst-15578	29	2	test	test	NOUN
ajst-15578	29	3	set	set	VERB
ajst-15578	29	4	data	datum	NOUN
ajst-15578	29	5	and	and	CCONJ
ajst-15578	29	6	field	field	NOUN
ajst-15578	29	7	test	test	NOUN
ajst-15578	29	8	verification	verification	NOUN
ajst-15578	29	9	results	result	NOUN
ajst-15578	29	10	show	show	VERB
ajst-15578	29	11	that	that	SCONJ
ajst-15578	29	12	the	the	DET
ajst-15578	29	13	bilstm	bilstm	NOUN
ajst-15578	29	14	-	-	PUNCT
ajst-15578	29	15	bp	bp	PROPN
ajst-15578	29	16	model	model	NOUN
ajst-15578	29	17	proposed	propose	VERB
ajst-15578	29	18	in	in	ADP
ajst-15578	29	19	this	this	DET
ajst-15578	29	20	paper	paper	NOUN
ajst-15578	29	21	can	can	AUX
ajst-15578	29	22	achieve	achieve	VERB
ajst-15578	29	23	more	more	ADV
ajst-15578	29	24	timely	timely	ADJ
ajst-15578	29	25	and	and	CCONJ
ajst-15578	29	26	accurate	accurate	ADJ
ajst-15578	29	27	monitoring	monitoring	NOUN
ajst-15578	29	28	and	and	CCONJ
ajst-15578	29	29	identification	identification	NOUN
ajst-15578	29	30	of	of	ADP
ajst-15578	29	31	overflows	overflow	NOUN
ajst-15578	29	32	.	.	PUNCT
ajst-15578	30	1	2	2	X
ajst-15578	30	2	.	.	X
ajst-15578	30	3	bilstm	bilstm	NOUN
ajst-15578	30	4	-	-	PUNCT
ajst-15578	30	5	bp	bp	PROPN
ajst-15578	30	6	overflow	overflow	VERB
ajst-15578	30	7	intelligent	intelligent	ADJ
ajst-15578	30	8	recognition	recognition	NOUN
ajst-15578	30	9	model	model	NOUN
ajst-15578	30	10	establishment	establishment	NOUN
ajst-15578	30	11	2.1	2.1	NUM
ajst-15578	30	12	.	.	PUNCT
ajst-15578	31	1	intelligent	intelligent	ADJ
ajst-15578	31	2	recognition	recognition	NOUN
ajst-15578	31	3	model	model	NOUN
ajst-15578	31	4	parameter	parameter	NOUN
ajst-15578	31	5	setting	set	VERB
ajst-15578	31	6	there	there	PRON
ajst-15578	31	7	is	be	VERB
ajst-15578	31	8	a	a	DET
ajst-15578	31	9	certain	certain	ADJ
ajst-15578	31	10	correlation	correlation	NOUN
ajst-15578	31	11	between	between	ADP
ajst-15578	31	12	multiple	multiple	ADJ
ajst-15578	31	13	monitoring	monitoring	NOUN
ajst-15578	31	14	parameters	parameter	NOUN
ajst-15578	31	15	of	of	ADP
ajst-15578	31	16	overflow	overflow	NOUN
ajst-15578	31	17	monitoring	monitoring	NOUN
ajst-15578	31	18	,	,	PUNCT
ajst-15578	31	19	so	so	CCONJ
ajst-15578	31	20	the	the	DET
ajst-15578	31	21	correlation	correlation	NOUN
ajst-15578	31	22	analysis	analysis	NOUN
ajst-15578	31	23	of	of	ADP
ajst-15578	31	24	the	the	DET
ajst-15578	31	25	conventional	conventional	ADJ
ajst-15578	31	26	overflow	overflow	NOUN
ajst-15578	31	27	monitoring	monitoring	NOUN
ajst-15578	31	28	parameters	parameter	NOUN
ajst-15578	31	29	and	and	CCONJ
ajst-15578	31	30	the	the	DET
ajst-15578	31	31	selection	selection	NOUN
ajst-15578	31	32	of	of	ADP
ajst-15578	31	33	parameters	parameter	NOUN
ajst-15578	31	34	with	with	ADP
ajst-15578	31	35	higher	high	ADJ
ajst-15578	31	36	correlation	correlation	NOUN
ajst-15578	31	37	can	can	AUX
ajst-15578	31	38	greatly	greatly	ADV
ajst-15578	31	39	improve	improve	VERB
ajst-15578	31	40	the	the	DET
ajst-15578	31	41	accuracy	accuracy	NOUN
ajst-15578	31	42	of	of	ADP
ajst-15578	31	43	the	the	DET
ajst-15578	31	44	predicted	predict	VERB
ajst-15578	31	45	restoration	restoration	NOUN
ajst-15578	31	46	of	of	ADP
ajst-15578	31	47	the	the	DET
ajst-15578	31	48	missing	miss	VERB
ajst-15578	31	49	data	datum	NOUN
ajst-15578	31	50	.	.	PUNCT
ajst-15578	32	1	𝜌	𝜌	ADP
ajst-15578	32	2	𝐸	𝐸	PROPN
ajst-15578	32	3	𝑋1𝑋2	𝑋1𝑋2	X
ajst-15578	32	4	𝐸	𝐸	PROPN
ajst-15578	32	5	𝑋1	𝑋1	PROPN
ajst-15578	32	6	𝐸	𝐸	PROPN
ajst-15578	32	7	𝑋2	𝑋2	VERB
ajst-15578	32	8	𝐸	𝐸	PROPN
ajst-15578	32	9	𝑋1	𝑋1	NOUN
ajst-15578	32	10	2	2	NUM
ajst-15578	32	11	𝐸2	𝐸2	ADJ
ajst-15578	32	12	𝑋1	𝑋1	PROPN
ajst-15578	32	13	𝐸	𝐸	PROPN
ajst-15578	32	14	𝑋2	𝑋2	VERB
ajst-15578	32	15	2	2	NUM
ajst-15578	32	16	𝐸2	𝐸2	ADJ
ajst-15578	32	17	𝑋2	𝑋2	PROPN
ajst-15578	32	18	(	(	PUNCT
ajst-15578	32	19	1	1	NUM
ajst-15578	32	20	)	)	PUNCT
ajst-15578	32	21	where	where	SCONJ
ajst-15578	32	22	𝑋	𝑋	PROPN
ajst-15578	32	23	denotes	denote	VERB
ajst-15578	32	24	the	the	DET
ajst-15578	32	25	different	different	ADJ
ajst-15578	32	26	monitoring	monitoring	NOUN
ajst-15578	32	27	parameters	parameter	NOUN
ajst-15578	32	28	required	require	VERB
ajst-15578	32	29	for	for	ADP
ajst-15578	32	30	the	the	DET
ajst-15578	32	31	preferred	prefer	VERB
ajst-15578	32	32	overflow	overflow	NOUN
ajst-15578	32	33	monitoring,𝐸	monitoring,𝐸	NOUN
ajst-15578	32	34	∙	∙	PROPN
ajst-15578	32	35	denotes	denote	VERB
ajst-15578	32	36	the	the	DET
ajst-15578	32	37	mathematical	mathematical	ADJ
ajst-15578	32	38	expectation	expectation	NOUN
ajst-15578	32	39	of	of	ADP
ajst-15578	32	40	the	the	DET
ajst-15578	32	41	relevant	relevant	ADJ
ajst-15578	32	42	monitoring	monitoring	NOUN
ajst-15578	32	43	parameters	parameter	NOUN
ajst-15578	32	44	.	.	PUNCT
ajst-15578	33	1	for	for	ADP
ajst-15578	33	2	correlation	correlation	NOUN
ajst-15578	33	3	analysis	analysis	NOUN
ajst-15578	33	4	of	of	ADP
ajst-15578	33	5	monitoring	monitor	VERB
ajst-15578	33	6	parameters	parameter	NOUN
ajst-15578	33	7	for	for	ADP
ajst-15578	33	8	overflow	overflow	NOUN
ajst-15578	33	9	identification	identification	NOUN
ajst-15578	33	10	,	,	PUNCT
ajst-15578	33	11	the	the	DET
ajst-15578	33	12	historical	historical	ADJ
ajst-15578	33	13	data	datum	NOUN
ajst-15578	33	14	of	of	ADP
ajst-15578	33	15	the	the	DET
ajst-15578	33	16	relevant	relevant	ADJ
ajst-15578	33	17	monitoring	monitoring	NOUN
ajst-15578	33	18	parameters	parameter	NOUN
ajst-15578	33	19	are	be	AUX
ajst-15578	33	20	substituted	substitute	VERB
ajst-15578	33	21	into	into	ADP
ajst-15578	33	22	eq	eq	PROPN
ajst-15578	33	23	.	.	PUNCT
ajst-15578	34	1	(	(	PUNCT
ajst-15578	34	2	1	1	X
ajst-15578	34	3	)	)	PUNCT
ajst-15578	34	4	the	the	DET
ajst-15578	34	5	pearson	pearson	NOUN
ajst-15578	34	6	correlation	correlation	NOUN
ajst-15578	34	7	coefficients	coefficient	NOUN
ajst-15578	34	8	of	of	ADP
ajst-15578	34	9	the	the	DET
ajst-15578	34	10	monitoring	monitoring	NOUN
ajst-15578	34	11	parameters	parameter	NOUN
ajst-15578	34	12	and	and	CCONJ
ajst-15578	34	13	the	the	DET
ajst-15578	34	14	selected	select	VERB
ajst-15578	34	15	downhole	downhole	NOUN
ajst-15578	34	16	monitoring	monitoring	NOUN
ajst-15578	34	17	parameters	parameter	NOUN
ajst-15578	34	18	are	be	AUX
ajst-15578	34	19	calculated	calculate	VERB
ajst-15578	34	20	separately	separately	ADV
ajst-15578	34	21	.	.	PUNCT
ajst-15578	35	1	based	base	VERB
ajst-15578	35	2	on	on	ADP
ajst-15578	35	3	the	the	DET
ajst-15578	35	4	analysis	analysis	NOUN
ajst-15578	35	5	of	of	ADP
ajst-15578	35	6	the	the	DET
ajst-15578	35	7	overflow	overflow	NOUN
ajst-15578	35	8	mechanism	mechanism	NOUN
ajst-15578	35	9	,	,	PUNCT
ajst-15578	35	10	the	the	DET
ajst-15578	35	11	downhole	downhole	NOUN
ajst-15578	35	12	annular	annular	ADJ
ajst-15578	35	13	pressure	pressure	NOUN
ajst-15578	35	14	,	,	PUNCT
ajst-15578	35	15	downhole	downhole	ADJ
ajst-15578	35	16	fluid	fluid	NOUN
ajst-15578	35	17	temperature	temperature	NOUN
ajst-15578	35	18	and	and	CCONJ
ajst-15578	35	19	downhole	downhole	NOUN
ajst-15578	35	20	fluid	fluid	NOUN
ajst-15578	35	21	resistivity	resistivity	NOUN
ajst-15578	35	22	are	be	AUX
ajst-15578	35	23	selected	select	VERB
ajst-15578	35	24	as	as	ADP
ajst-15578	35	25	downhole	downhole	NOUN
ajst-15578	35	26	monitoring	monitoring	NOUN
ajst-15578	35	27	parameters	parameter	NOUN
ajst-15578	35	28	in	in	ADP
ajst-15578	35	29	order	order	NOUN
ajst-15578	35	30	to	to	PART
ajst-15578	35	31	exclude	exclude	VERB
ajst-15578	35	32	the	the	DET
ajst-15578	35	33	interference	interference	NOUN
ajst-15578	35	34	of	of	ADP
ajst-15578	35	35	other	other	ADJ
ajst-15578	35	36	factors	factor	NOUN
ajst-15578	35	37	on	on	ADP
ajst-15578	35	38	the	the	DET
ajst-15578	35	39	overflow	overflow	NOUN
ajst-15578	35	40	identification	identification	NOUN
ajst-15578	35	41	,	,	PUNCT
ajst-15578	35	42	and	and	CCONJ
ajst-15578	35	43	the	the	DET
ajst-15578	35	44	final	final	ADJ
ajst-15578	35	45	correlation	correlation	NOUN
ajst-15578	35	46	results	result	NOUN
ajst-15578	35	47	of	of	ADP
ajst-15578	35	48	each	each	DET
ajst-15578	35	49	monitoring	monitoring	NOUN
ajst-15578	35	50	parameter	parameter	NOUN
ajst-15578	35	51	are	be	AUX
ajst-15578	35	52	shown	show	VERB
ajst-15578	35	53	in	in	ADP
ajst-15578	35	54	fig	fig	NOUN
ajst-15578	35	55	.	.	PUNCT
ajst-15578	36	1	1	1	X
ajst-15578	36	2	.	.	X
ajst-15578	36	3	figure	figure	NOUN
ajst-15578	36	4	1	1	NUM
ajst-15578	36	5	.	.	PUNCT
ajst-15578	37	1	correlation	correlation	NOUN
ajst-15578	37	2	analysis	analysis	NOUN
ajst-15578	37	3	of	of	ADP
ajst-15578	37	4	overflow	overflow	ADJ
ajst-15578	37	5	identification	identification	NOUN
ajst-15578	37	6	monitoring	monitor	VERB
ajst-15578	37	7	parameters	parameter	NOUN
ajst-15578	37	8	in	in	ADP
ajst-15578	37	9	fig	fig	NOUN
ajst-15578	37	10	.	.	PUNCT
ajst-15578	38	1	1	1	NUM
ajst-15578	38	2	,	,	PUNCT
ajst-15578	38	3	the	the	DET
ajst-15578	38	4	𝑥	𝑥	PROPN
ajst-15578	38	5	is	be	AUX
ajst-15578	38	6	the	the	DET
ajst-15578	38	7	"	"	PUNCT
ajst-15578	38	8	weight	weight	NOUN
ajst-15578	38	9	-	-	PUNCT
ajst-15578	38	10	on	on	ADP
ajst-15578	38	11	-	-	PUNCT
ajst-15578	38	12	bit	bit	NOUN
ajst-15578	38	13	"	"	PUNCT
ajst-15578	38	14	,	,	PUNCT
ajst-15578	38	15	𝑥	𝑥	PROPN
ajst-15578	38	16	is	be	AUX
ajst-15578	38	17	the	the	DET
ajst-15578	38	18	"	"	PUNCT
ajst-15578	38	19	standpipe	standpipe	NOUN
ajst-15578	38	20	pressure	pressure	NOUN
ajst-15578	38	21	"	"	PUNCT
ajst-15578	38	22	,	,	PUNCT
ajst-15578	38	23	𝑥	𝑥	PROPN
ajst-15578	38	24	is	be	AUX
ajst-15578	38	25	the	the	DET
ajst-15578	38	26	"	"	PUNCT
ajst-15578	38	27	tank	tank	NOUN
ajst-15578	38	28	volume	volume	NOUN
ajst-15578	38	29	"	"	PUNCT
ajst-15578	38	30	,	,	PUNCT
ajst-15578	38	31	𝑥	𝑥	PROPN
ajst-15578	38	32	is	be	AUX
ajst-15578	38	33	"	"	PUNCT
ajst-15578	38	34	gas	gas	NOUN
ajst-15578	38	35	"	"	PUNCT
ajst-15578	38	36	,	,	PUNCT
ajst-15578	38	37	𝑥	𝑥	PROPN
ajst-15578	38	38	is	be	AUX
ajst-15578	38	39	the	the	DET
ajst-15578	38	40	"	"	PUNCT
ajst-15578	38	41	drilling	drilling	NOUN
ajst-15578	38	42	rate	rate	NOUN
ajst-15578	38	43	"	"	PUNCT
ajst-15578	38	44	,	,	PUNCT
ajst-15578	38	45	𝑥	𝑥	PROPN
ajst-15578	38	46	is	be	AUX
ajst-15578	38	47	"	"	PUNCT
ajst-15578	38	48	downhole	downhole	ADJ
ajst-15578	38	49	annular	annular	ADJ
ajst-15578	38	50	pressure	pressure	NOUN
ajst-15578	38	51	"	"	PUNCT
ajst-15578	38	52	,	,	PUNCT
ajst-15578	38	53	𝑥	𝑥	PROPN
ajst-15578	38	54	is	be	AUX
ajst-15578	38	55	"	"	PUNCT
ajst-15578	38	56	downhole	downhole	ADJ
ajst-15578	38	57	fluid	fluid	NOUN
ajst-15578	38	58	resistivity	resistivity	NOUN
ajst-15578	38	59	"	"	PUNCT
ajst-15578	38	60	,	,	PUNCT
ajst-15578	38	61	𝑥	𝑥	PROPN
ajst-15578	38	62	is	be	AUX
ajst-15578	38	63	"	"	PUNCT
ajst-15578	38	64	downhole	downhole	ADJ
ajst-15578	38	65	fluid	fluid	NOUN
ajst-15578	38	66	temperature	temperature	NOUN
ajst-15578	38	67	"	"	PUNCT
ajst-15578	38	68	,	,	PUNCT
ajst-15578	38	69	𝑥	𝑥	PROPN
ajst-15578	38	70	is	be	AUX
ajst-15578	38	71	the	the	DET
ajst-15578	38	72	"	"	PUNCT
ajst-15578	38	73	drilling	drilling	NOUN
ajst-15578	38	74	fluid	fluid	NOUN
ajst-15578	38	75	outlet	outlet	NOUN
ajst-15578	38	76	flow	flow	NOUN
ajst-15578	38	77	"	"	PUNCT
ajst-15578	38	78	.	.	PUNCT
ajst-15578	39	1	from	from	ADP
ajst-15578	39	2	the	the	DET
ajst-15578	39	3	correlation	correlation	NOUN
ajst-15578	39	4	analysis	analysis	NOUN
ajst-15578	39	5	results	result	NOUN
ajst-15578	39	6	,	,	PUNCT
ajst-15578	39	7	we	we	PRON
ajst-15578	39	8	can	can	AUX
ajst-15578	39	9	see	see	VERB
ajst-15578	39	10	that	that	SCONJ
ajst-15578	39	11	the	the	DET
ajst-15578	39	12	standpipe	standpipe	NOUN
ajst-15578	39	13	pressure	pressure	NOUN
ajst-15578	39	14	,	,	PUNCT
ajst-15578	39	15	tank	tank	NOUN
ajst-15578	39	16	volume	volume	NOUN
ajst-15578	39	17	,	,	PUNCT
ajst-15578	39	18	gas	gas	NOUN
ajst-15578	39	19	,	,	PUNCT
ajst-15578	39	20	drilling	drilling	NOUN
ajst-15578	39	21	fluid	fluid	NOUN
ajst-15578	39	22	outlet	outlet	NOUN
ajst-15578	39	23	flow	flow	NOUN
ajst-15578	39	24	and	and	CCONJ
ajst-15578	39	25	the	the	DET
ajst-15578	39	26	preferred	preferred	ADJ
ajst-15578	39	27	downhole	downhole	NOUN
ajst-15578	39	28	monitoring	monitoring	NOUN
ajst-15578	39	29	parameters	parameter	NOUN
ajst-15578	39	30	have	have	VERB
ajst-15578	39	31	high	high	ADJ
ajst-15578	39	32	correlation	correlation	NOUN
ajst-15578	39	33	.	.	PUNCT
ajst-15578	40	1	when	when	SCONJ
ajst-15578	40	2	the	the	DET
ajst-15578	40	3	downhole	downhole	NOUN
ajst-15578	40	4	monitoring	monitor	VERB
ajst-15578	40	5	parameters	parameter	NOUN
ajst-15578	40	6	do	do	AUX
ajst-15578	40	7	not	not	PART
ajst-15578	40	8	disappear	disappear	VERB
ajst-15578	40	9	at	at	ADP
ajst-15578	40	10	the	the	DET
ajst-15578	40	11	same	same	ADJ
ajst-15578	40	12	time	time	NOUN
ajst-15578	40	13	,	,	PUNCT
ajst-15578	40	14	the	the	DET
ajst-15578	40	15	normal	normal	ADJ
ajst-15578	40	16	monitoring	monitoring	NOUN
ajst-15578	40	17	downhole	downhole	NOUN
ajst-15578	40	18	parameters	parameter	NOUN
ajst-15578	40	19	are	be	AUX
ajst-15578	40	20	preferred	prefer	VERB
ajst-15578	40	21	for	for	ADP
ajst-15578	40	22	repair	repair	NOUN
ajst-15578	40	23	;	;	PUNCT
ajst-15578	40	24	when	when	SCONJ
ajst-15578	40	25	the	the	DET
ajst-15578	40	26	downhole	downhole	NOUN
ajst-15578	40	27	instrument	instrument	NOUN
ajst-15578	40	28	loses	lose	VERB
ajst-15578	40	29	signal	signal	NOUN
ajst-15578	40	30	,	,	PUNCT
ajst-15578	40	31	the	the	DET
ajst-15578	40	32	above	above	ADV
ajst-15578	40	33	-	-	PUNCT
ajst-15578	40	34	mentioned	mention	VERB
ajst-15578	40	35	data	datum	NOUN
ajst-15578	40	36	with	with	ADP
ajst-15578	40	37	higher	high	ADJ
ajst-15578	40	38	correlation	correlation	NOUN
ajst-15578	40	39	are	be	AUX
ajst-15578	40	40	selected	select	VERB
ajst-15578	40	41	for	for	ADP
ajst-15578	40	42	repair	repair	NOUN
ajst-15578	40	43	,	,	PUNCT
ajst-15578	40	44	which	which	PRON
ajst-15578	40	45	can	can	AUX
ajst-15578	40	46	improve	improve	VERB
ajst-15578	40	47	the	the	DET
ajst-15578	40	48	repair	repair	NOUN
ajst-15578	40	49	of	of	ADP
ajst-15578	40	50	missing	miss	VERB
ajst-15578	40	51	downhole	downhole	NOUN
ajst-15578	40	52	data	datum	NOUN
ajst-15578	40	53	accuracy	accuracy	NOUN
ajst-15578	40	54	.	.	PUNCT
ajst-15578	41	1	2.2	2.2	NUM
ajst-15578	41	2	.	.	PUNCT
ajst-15578	41	3	intelligent	intelligent	ADJ
ajst-15578	41	4	recognition	recognition	NOUN
ajst-15578	41	5	model	model	NOUN
ajst-15578	41	6	data	data	PROPN
ajst-15578	41	7	repair	repair	NOUN
ajst-15578	41	8	layer	layer	NOUN
ajst-15578	41	9	long	long	ADJ
ajst-15578	41	10	short	short	ADJ
ajst-15578	41	11	term	term	NOUN
ajst-15578	41	12	memory	memory	NOUN
ajst-15578	41	13	network	network	NOUN
ajst-15578	41	14	(	(	PUNCT
ajst-15578	41	15	lstm)[15	lstm)[15	PROPN
ajst-15578	41	16	]	]	PUNCT
ajst-15578	41	17	is	be	AUX
ajst-15578	41	18	a	a	DET
ajst-15578	41	19	type	type	NOUN
ajst-15578	41	20	100	100	NUM
ajst-15578	41	21	of	of	ADP
ajst-15578	41	22	recurrent	recurrent	ADJ
ajst-15578	41	23	neural	neural	ADJ
ajst-15578	41	24	network	network	NOUN
ajst-15578	41	25	(	(	PUNCT
ajst-15578	41	26	rnn	rnn	PROPN
ajst-15578	41	27	)	)	PUNCT
ajst-15578	41	28	.	.	PUNCT
ajst-15578	42	1	the	the	DET
ajst-15578	42	2	rnn	rnn	NOUN
ajst-15578	42	3	model	model	NOUN
ajst-15578	42	4	requires	require	VERB
ajst-15578	42	5	back	back	ADV
ajst-15578	42	6	propagation	propagation	NOUN
ajst-15578	42	7	after	after	SCONJ
ajst-15578	42	8	the	the	DET
ajst-15578	42	9	forward	forward	ADJ
ajst-15578	42	10	propagation	propagation	NOUN
ajst-15578	42	11	is	be	AUX
ajst-15578	42	12	completed	complete	VERB
ajst-15578	42	13	,	,	PUNCT
ajst-15578	42	14	which	which	PRON
ajst-15578	42	15	is	be	AUX
ajst-15578	42	16	prone	prone	ADJ
ajst-15578	42	17	to	to	ADP
ajst-15578	42	18	gradient	gradient	VERB
ajst-15578	42	19	disappearance	disappearance	NOUN
ajst-15578	42	20	and	and	CCONJ
ajst-15578	42	21	gradient	gradient	ADJ
ajst-15578	42	22	explosion	explosion	NOUN
ajst-15578	42	23	problems	problem	NOUN
ajst-15578	42	24	when	when	SCONJ
ajst-15578	42	25	faced	face	VERB
ajst-15578	42	26	with	with	ADP
ajst-15578	42	27	deep	deep	ADJ
ajst-15578	42	28	training	training	NOUN
ajst-15578	42	29	layers	layer	NOUN
ajst-15578	42	30	.	.	PUNCT
ajst-15578	43	1	the	the	DET
ajst-15578	43	2	lstm	lstm	PROPN
ajst-15578	43	3	model	model	NOUN
ajst-15578	43	4	is	be	AUX
ajst-15578	43	5	improved	improve	VERB
ajst-15578	43	6	by	by	ADP
ajst-15578	43	7	introducing	introduce	VERB
ajst-15578	43	8	cell	cell	NOUN
ajst-15578	43	9	statesc_t	statesc_t	NOUN
ajst-15578	43	10	,	,	PUNCT
ajst-15578	43	11	forgetting	forget	VERB
ajst-15578	43	12	gatef_t	gatef_t	X
ajst-15578	43	13	,	,	PUNCT
ajst-15578	43	14	a	a	DET
ajst-15578	43	15	memory	memory	NOUN
ajst-15578	43	16	gatei_t	gatei_t	NOUN
ajst-15578	43	17	and	and	CCONJ
ajst-15578	43	18	output	output	NOUN
ajst-15578	43	19	gateso_t	gateso_t	VERB
ajst-15578	43	20	to	to	PART
ajst-15578	43	21	maintain	maintain	VERB
ajst-15578	43	22	and	and	CCONJ
ajst-15578	43	23	control	control	VERB
ajst-15578	43	24	the	the	DET
ajst-15578	43	25	information	information	NOUN
ajst-15578	43	26	,	,	PUNCT
ajst-15578	43	27	which	which	PRON
ajst-15578	43	28	reduces	reduce	VERB
ajst-15578	43	29	the	the	DET
ajst-15578	43	30	possibility	possibility	NOUN
ajst-15578	43	31	of	of	ADP
ajst-15578	43	32	gradient	gradient	ADJ
ajst-15578	43	33	disappearance	disappearance	NOUN
ajst-15578	43	34	and	and	CCONJ
ajst-15578	43	35	gradient	gradient	NOUN
ajst-15578	43	36	explosion	explosion	NOUN
ajst-15578	43	37	,	,	PUNCT
ajst-15578	43	38	and	and	CCONJ
ajst-15578	43	39	can	can	AUX
ajst-15578	43	40	deal	deal	VERB
ajst-15578	43	41	with	with	ADP
ajst-15578	43	42	the	the	DET
ajst-15578	43	43	long	long	ADJ
ajst-15578	43	44	-	-	PUNCT
ajst-15578	43	45	term	term	NOUN
ajst-15578	43	46	dependence	dependence	NOUN
ajst-15578	43	47	problem	problem	NOUN
ajst-15578	43	48	well	well	INTJ
ajst-15578	43	49	while	while	SCONJ
ajst-15578	43	50	dealing	deal	VERB
ajst-15578	43	51	with	with	ADP
ajst-15578	43	52	the	the	DET
ajst-15578	43	53	short	short	ADJ
ajst-15578	43	54	-	-	PUNCT
ajst-15578	43	55	term	term	NOUN
ajst-15578	43	56	dependence	dependence	NOUN
ajst-15578	43	57	problem[16	problem[16	PROPN
ajst-15578	43	58	]	]	PUNCT
ajst-15578	43	59	.	.	PUNCT
ajst-15578	44	1	x	x	PUNCT
ajst-15578	45	1	+	+	PUNCT
ajst-15578	45	2	x	x	PUNCT
ajst-15578	45	3	tanh	tanh	PROPN
ajst-15578	45	4	tanh	tanh	PROPN
ajst-15578	45	5	σ	σ	PROPN
ajst-15578	45	6	  	  	SPACE
ajst-15578	45	7	σ	σ	PROPN
ajst-15578	45	8	  	  	SPACE
ajst-15578	45	9	σ	σ	PROPN
ajst-15578	45	10	  	  	SPACE
ajst-15578	45	11	x	x	SYM
ajst-15578	45	12	xt	xt	PROPN
ajst-15578	46	1	ht‐1	ht‐1	INTJ
ajst-15578	46	2	ht	ht	INTJ
ajst-15578	47	1	ct‐1	ct‐1	NOUN
ajst-15578	47	2	ct	ct	PROPN
ajst-15578	47	3	cell	cell	NOUN
ajst-15578	47	4	vectors	vector	NOUN
ajst-15578	47	5	c	c	AUX
ajst-15578	47	6	forget	forget	VERB
ajst-15578	47	7	  	  	SPACE
ajst-15578	47	8	gate	gate	VERB
ajst-15578	47	9	 	 	SPACE
ajst-15578	47	10	f	f	PROPN
ajst-15578	47	11	fi	fi	NOUN
ajst-15578	48	1	it	it	PRON
ajst-15578	48	2	input	input	VERB
ajst-15578	48	3	 	 	SPACE
ajst-15578	48	4	gate	gate	NOUN
ajst-15578	48	5	 	 	SPACE
ajst-15578	48	6	i	i	PRON
ajst-15578	48	7	ot	ot	VERB
ajst-15578	48	8	output	output	NOUN
ajst-15578	48	9	 	 	SPACE
ajst-15578	48	10	gate	gate	NOUN
ajst-15578	48	11	 	 	SPACE
ajst-15578	48	12	o	o	NOUN
ajst-15578	48	13	figure	figure	NOUN
ajst-15578	48	14	2	2	NUM
ajst-15578	48	15	.	.	PUNCT
ajst-15578	49	1	longand	longand	PROPN
ajst-15578	49	2	short	short	ADJ
ajst-15578	49	3	-	-	PUNCT
ajst-15578	49	4	term	term	NOUN
ajst-15578	49	5	memory	memory	NOUN
ajst-15578	49	6	network	network	NOUN
ajst-15578	49	7	model	model	NOUN
ajst-15578	49	8	the	the	DET
ajst-15578	49	9	lstm	lstm	PROPN
ajst-15578	49	10	model	model	NOUN
ajst-15578	49	11	continuously	continuously	ADV
ajst-15578	49	12	corrects	correct	VERB
ajst-15578	49	13	the	the	DET
ajst-15578	49	14	model	model	NOUN
ajst-15578	49	15	output	output	NOUN
ajst-15578	49	16	by	by	ADP
ajst-15578	49	17	means	mean	NOUN
ajst-15578	49	18	of	of	ADP
ajst-15578	49	19	forgetting	forget	VERB
ajst-15578	49	20	gates	gate	NOUN
ajst-15578	49	21	,	,	PUNCT
ajst-15578	49	22	memory	memory	NOUN
ajst-15578	49	23	gates	gate	NOUN
ajst-15578	49	24	and	and	CCONJ
ajst-15578	49	25	output	output	NOUN
ajst-15578	49	26	gates	gate	NOUN
ajst-15578	49	27	.	.	PUNCT
ajst-15578	50	1	the	the	DET
ajst-15578	50	2	forgetting	forget	VERB
ajst-15578	50	3	gate	gate	NOUN
ajst-15578	50	4	serves	serve	VERB
ajst-15578	50	5	to	to	PART
ajst-15578	50	6	control	control	VERB
ajst-15578	50	7	the	the	DET
ajst-15578	50	8	retention	retention	NOUN
ajst-15578	50	9	and	and	CCONJ
ajst-15578	50	10	discard	discard	NOUN
ajst-15578	50	11	of	of	ADP
ajst-15578	50	12	information	information	NOUN
ajst-15578	50	13	from	from	ADP
ajst-15578	50	14	the	the	DET
ajst-15578	50	15	previous	previous	ADJ
ajst-15578	50	16	moment	moment	NOUN
ajst-15578	50	17	and	and	CCONJ
ajst-15578	50	18	is	be	AUX
ajst-15578	50	19	calculated	calculate	VERB
ajst-15578	50	20	as	as	SCONJ
ajst-15578	50	21	follows	follow	VERB
ajst-15578	50	22	.	.	PUNCT
ajst-15578	51	1	𝑓	𝑓	DET
ajst-15578	51	2	𝜎	𝜎	NOUN
ajst-15578	51	3	𝑊	𝑊	NOUN
ajst-15578	51	4	∙	∙	PROPN
ajst-15578	51	5	ℎ	ℎ	PROPN
ajst-15578	51	6	,	,	PUNCT
ajst-15578	51	7	𝑥	𝑥	PROPN
ajst-15578	51	8	𝑏	𝑏	PROPN
ajst-15578	51	9	(	(	PUNCT
ajst-15578	51	10	2	2	NUM
ajst-15578	51	11	)	)	PUNCT
ajst-15578	51	12	where𝑥	where𝑥	PROPN
ajst-15578	51	13	denotes	denote	VERB
ajst-15578	51	14	the	the	DET
ajst-15578	51	15	input	input	NOUN
ajst-15578	51	16	at	at	ADP
ajst-15578	51	17	the	the	DET
ajst-15578	51	18	current	current	ADJ
ajst-15578	51	19	moment	moment	NOUN
ajst-15578	51	20	,	,	PUNCT
ajst-15578	51	21	andℎ	andℎ	PROPN
ajst-15578	51	22	denotes	denote	VERB
ajst-15578	51	23	the	the	DET
ajst-15578	51	24	output	output	NOUN
ajst-15578	51	25	of	of	ADP
ajst-15578	51	26	the	the	DET
ajst-15578	51	27	model	model	NOUN
ajst-15578	51	28	at	at	ADP
ajst-15578	51	29	the	the	DET
ajst-15578	51	30	previous	previous	ADJ
ajst-15578	51	31	moment	moment	NOUN
ajst-15578	51	32	,	,	PUNCT
ajst-15578	51	33	and𝑊	and𝑊	PROPN
ajst-15578	51	34	is	be	AUX
ajst-15578	51	35	the	the	DET
ajst-15578	51	36	weight	weight	NOUN
ajst-15578	51	37	matrix	matrix	NOUN
ajst-15578	51	38	of	of	ADP
ajst-15578	51	39	the	the	DET
ajst-15578	51	40	forgetting	forget	VERB
ajst-15578	51	41	gate	gate	NOUN
ajst-15578	51	42	,	,	PUNCT
ajst-15578	51	43	and𝑏	and𝑏	PROPN
ajst-15578	51	44	is	be	AUX
ajst-15578	51	45	the	the	DET
ajst-15578	51	46	bias	bias	NOUN
ajst-15578	51	47	term	term	NOUN
ajst-15578	51	48	of	of	ADP
ajst-15578	51	49	the	the	DET
ajst-15578	51	50	forgetting	forget	VERB
ajst-15578	51	51	gate	gate	NOUN
ajst-15578	51	52	,	,	PUNCT
ajst-15578	51	53	and𝜎	and𝜎	PROPN
ajst-15578	51	54	is	be	AUX
ajst-15578	51	55	the	the	DET
ajst-15578	51	56	sigmoid	sigmoid	NOUN
ajst-15578	51	57	activation	activation	NOUN
ajst-15578	51	58	function	function	NOUN
ajst-15578	51	59	,	,	PUNCT
ajst-15578	51	60	which	which	PRON
ajst-15578	51	61	takes	take	VERB
ajst-15578	51	62	values	value	NOUN
ajst-15578	51	63	in	in	ADP
ajst-15578	51	64	the	the	DET
ajst-15578	51	65	range	range	NOUN
ajst-15578	51	66	of	of	ADP
ajst-15578	51	67	[	[	X
ajst-15578	51	68	0,1	0,1	NUM
ajst-15578	51	69	]	]	PUNCT
ajst-15578	51	70	.	.	PUNCT
ajst-15578	52	1	the	the	DET
ajst-15578	52	2	role	role	NOUN
ajst-15578	52	3	of	of	ADP
ajst-15578	52	4	the	the	DET
ajst-15578	52	5	input	input	NOUN
ajst-15578	52	6	gate	gate	NOUN
ajst-15578	52	7	is	be	AUX
ajst-15578	52	8	to	to	PART
ajst-15578	52	9	control	control	VERB
ajst-15578	52	10	the	the	DET
ajst-15578	52	11	updated	update	VERB
ajst-15578	52	12	input	input	NOUN
ajst-15578	52	13	information	information	NOUN
ajst-15578	52	14	,	,	PUNCT
ajst-15578	52	15	which	which	PRON
ajst-15578	52	16	is	be	AUX
ajst-15578	52	17	calculated	calculate	VERB
ajst-15578	52	18	as	as	SCONJ
ajst-15578	52	19	follows	follow	VERB
ajst-15578	52	20	.	.	PUNCT
ajst-15578	53	1	𝑖	𝑖	PUNCT
ajst-15578	53	2	𝜎	𝜎	NOUN
ajst-15578	53	3	𝑊	𝑊	NOUN
ajst-15578	53	4	∙	∙	PROPN
ajst-15578	53	5	ℎ	ℎ	PROPN
ajst-15578	53	6	,	,	PUNCT
ajst-15578	53	7	𝑥	𝑥	PROPN
ajst-15578	53	8	𝑏	𝑏	PROPN
ajst-15578	53	9	(	(	PUNCT
ajst-15578	53	10	3	3	X
ajst-15578	53	11	)	)	PUNCT
ajst-15578	53	12	𝑐	𝑐	PROPN
ajst-15578	53	13	tanh	tanh	NOUN
ajst-15578	53	14	𝑊	𝑊	VERB
ajst-15578	53	15	∙	∙	PROPN
ajst-15578	53	16	ℎ	ℎ	PROPN
ajst-15578	53	17	,	,	PUNCT
ajst-15578	53	18	𝑥	𝑥	PROPN
ajst-15578	53	19	𝑏	𝑏	PROPN
ajst-15578	53	20	(	(	PUNCT
ajst-15578	53	21	4	4	X
ajst-15578	53	22	)	)	PUNCT
ajst-15578	53	23	where𝑐	where𝑐	NOUN
ajst-15578	53	24	is	be	AUX
ajst-15578	53	25	the	the	DET
ajst-15578	53	26	cell	cell	NOUN
ajst-15578	53	27	state	state	NOUN
ajst-15578	53	28	candidate	candidate	NOUN
ajst-15578	53	29	value	value	NOUN
ajst-15578	53	30	,	,	PUNCT
ajst-15578	53	31	the𝑊	the𝑊	ADJ
ajst-15578	53	32	and𝑏	and𝑏	NOUN
ajst-15578	53	33	are	be	AUX
ajst-15578	53	34	the	the	DET
ajst-15578	53	35	weight	weight	NOUN
ajst-15578	53	36	matrix	matrix	NOUN
ajst-15578	53	37	and	and	CCONJ
ajst-15578	53	38	bias	bias	NOUN
ajst-15578	53	39	terms	term	NOUN
ajst-15578	53	40	of	of	ADP
ajst-15578	53	41	the	the	DET
ajst-15578	53	42	input	input	NOUN
ajst-15578	53	43	gates	gate	NOUN
ajst-15578	53	44	,	,	PUNCT
ajst-15578	53	45	and𝑊	and𝑊	NOUN
ajst-15578	53	46	and𝑏	and𝑏	PROPN
ajst-15578	53	47	are	be	AUX
ajst-15578	53	48	the	the	DET
ajst-15578	53	49	weight	weight	NOUN
ajst-15578	53	50	matrices	matrix	NOUN
ajst-15578	53	51	and	and	CCONJ
ajst-15578	53	52	bias	bias	NOUN
ajst-15578	53	53	terms	term	NOUN
ajst-15578	53	54	of	of	ADP
ajst-15578	53	55	the	the	DET
ajst-15578	53	56	cell	cell	NOUN
ajst-15578	53	57	state	state	NOUN
ajst-15578	53	58	candidates	candidate	NOUN
ajst-15578	53	59	.	.	PUNCT
ajst-15578	54	1	current	current	ADJ
ajst-15578	54	2	moment	moment	NOUN
ajst-15578	54	3	cell	cell	NOUN
ajst-15578	54	4	state𝑐	state𝑐	VERB
ajst-15578	54	5	by	by	ADP
ajst-15578	54	6	the	the	DET
ajst-15578	54	7	forgetting	forget	VERB
ajst-15578	54	8	gate𝑓	gate𝑓	NOUN
ajst-15578	54	9	,	,	PUNCT
ajst-15578	54	10	input	input	NOUN
ajst-15578	54	11	gate	gate	PROPN
ajst-15578	54	12	𝑖	𝑖	SYM
ajst-15578	54	13	,	,	PUNCT
ajst-15578	54	14	cell	cell	NOUN
ajst-15578	54	15	state	state	NOUN
ajst-15578	54	16	candidates	candidate	NOUN
ajst-15578	54	17	𝑐	𝑐	PROPN
ajst-15578	54	18	and	and	CCONJ
ajst-15578	54	19	the	the	DET
ajst-15578	54	20	cell	cell	NOUN
ajst-15578	54	21	state	state	NOUN
ajst-15578	54	22	at	at	ADP
ajst-15578	54	23	the	the	DET
ajst-15578	54	24	previous	previous	ADJ
ajst-15578	54	25	moment𝑐	moment𝑐	NOUN
ajst-15578	54	26	which	which	PRON
ajst-15578	54	27	is	be	AUX
ajst-15578	54	28	jointly	jointly	ADV
ajst-15578	54	29	determined	determine	VERB
ajst-15578	54	30	by	by	ADP
ajst-15578	54	31	the	the	DET
ajst-15578	54	32	following	follow	VERB
ajst-15578	54	33	equation	equation	NOUN
ajst-15578	54	34	.	.	PUNCT
ajst-15578	55	1	𝑐	𝑐	NOUN
ajst-15578	55	2	𝑖	𝑖	PUNCT
ajst-15578	55	3	𝑐	𝑐	PROPN
ajst-15578	55	4	𝑓	𝑓	PRON
ajst-15578	55	5	𝑐	𝑐	PROPN
ajst-15578	55	6	(	(	PUNCT
ajst-15578	55	7	5	5	NUM
ajst-15578	55	8	)	)	PUNCT
ajst-15578	55	9	the	the	DET
ajst-15578	55	10	role	role	NOUN
ajst-15578	55	11	of	of	ADP
ajst-15578	55	12	the	the	DET
ajst-15578	55	13	output	output	NOUN
ajst-15578	55	14	gate	gate	NOUN
ajst-15578	55	15	is	be	AUX
ajst-15578	55	16	to	to	PART
ajst-15578	55	17	control	control	VERB
ajst-15578	55	18	the	the	DET
ajst-15578	55	19	output	output	NOUN
ajst-15578	55	20	of	of	ADP
ajst-15578	55	21	information	information	NOUN
ajst-15578	55	22	in	in	ADP
ajst-15578	55	23	the	the	DET
ajst-15578	55	24	cell	cell	NOUN
ajst-15578	55	25	state	state	NOUN
ajst-15578	55	26	at	at	ADP
ajst-15578	55	27	the	the	DET
ajst-15578	55	28	current	current	ADJ
ajst-15578	55	29	moment	moment	NOUN
ajst-15578	55	30	,	,	PUNCT
ajst-15578	55	31	calculated	calculate	VERB
ajst-15578	55	32	as	as	SCONJ
ajst-15578	55	33	follows	follow	VERB
ajst-15578	55	34	.	.	PUNCT
ajst-15578	56	1	𝑜	𝑜	PRON
ajst-15578	56	2	𝜎	𝜎	VERB
ajst-15578	56	3	𝑊	𝑊	NOUN
ajst-15578	56	4	∙	∙	PROPN
ajst-15578	56	5	ℎ	ℎ	PROPN
ajst-15578	56	6	,	,	PUNCT
ajst-15578	56	7	𝑥	𝑥	PROPN
ajst-15578	56	8	𝑏	𝑏	PROPN
ajst-15578	56	9	(	(	PUNCT
ajst-15578	56	10	6	6	NUM
ajst-15578	56	11	)	)	PUNCT
ajst-15578	56	12	ℎ	ℎ	PROPN
ajst-15578	56	13	𝑜	𝑜	PROPN
ajst-15578	56	14	tanh	tanh	PROPN
ajst-15578	56	15	𝑐	𝑐	PROPN
ajst-15578	56	16	(	(	PUNCT
ajst-15578	56	17	7	7	X
ajst-15578	56	18	)	)	PUNCT
ajst-15578	56	19	where𝑊	where𝑊	PROPN
ajst-15578	56	20	and𝑏	and𝑏	PROPN
ajst-15578	56	21	are	be	AUX
ajst-15578	56	22	the	the	DET
ajst-15578	56	23	weight	weight	NOUN
ajst-15578	56	24	matrix	matrix	NOUN
ajst-15578	56	25	and	and	CCONJ
ajst-15578	56	26	bias	bias	NOUN
ajst-15578	56	27	terms	term	NOUN
ajst-15578	56	28	of	of	ADP
ajst-15578	56	29	the	the	DET
ajst-15578	56	30	output	output	NOUN
ajst-15578	56	31	gate	gate	NOUN
ajst-15578	56	32	,	,	PUNCT
ajst-15578	56	33	andℎ	andℎ	PROPN
ajst-15578	56	34	is	be	AUX
ajst-15578	56	35	the	the	DET
ajst-15578	56	36	output	output	NOUN
ajst-15578	56	37	of	of	ADP
ajst-15578	56	38	the	the	DET
ajst-15578	56	39	lstm	lstm	PROPN
ajst-15578	56	40	model	model	NOUN
ajst-15578	56	41	at	at	ADP
ajst-15578	56	42	the	the	DET
ajst-15578	56	43	current	current	ADJ
ajst-15578	56	44	moment	moment	NOUN
ajst-15578	56	45	.	.	PUNCT
ajst-15578	57	1	although	although	SCONJ
ajst-15578	57	2	the	the	DET
ajst-15578	57	3	lstm	lstm	NOUN
ajst-15578	57	4	model	model	NOUN
ajst-15578	57	5	solves	solve	VERB
ajst-15578	57	6	the	the	DET
ajst-15578	57	7	shortcomings	shortcoming	NOUN
ajst-15578	57	8	of	of	ADP
ajst-15578	57	9	the	the	DET
ajst-15578	57	10	rnn	rnn	NOUN
ajst-15578	57	11	model	model	NOUN
ajst-15578	57	12	in	in	ADP
ajst-15578	57	13	dealing	deal	VERB
ajst-15578	57	14	with	with	ADP
ajst-15578	57	15	long	long	ADJ
ajst-15578	57	16	-	-	PUNCT
ajst-15578	57	17	term	term	NOUN
ajst-15578	57	18	dependency	dependency	NOUN
ajst-15578	57	19	problems	problem	NOUN
ajst-15578	57	20	,	,	PUNCT
ajst-15578	57	21	in	in	ADP
ajst-15578	57	22	practical	practical	ADJ
ajst-15578	57	23	applications	application	NOUN
ajst-15578	57	24	,	,	PUNCT
ajst-15578	57	25	the	the	DET
ajst-15578	57	26	state	state	NOUN
ajst-15578	57	27	of	of	ADP
ajst-15578	57	28	the	the	DET
ajst-15578	57	29	current	current	ADJ
ajst-15578	57	30	moment	moment	NOUN
ajst-15578	57	31	is	be	AUX
ajst-15578	57	32	jointly	jointly	ADV
ajst-15578	57	33	determined	determine	VERB
ajst-15578	57	34	by	by	ADP
ajst-15578	57	35	the	the	DET
ajst-15578	57	36	state	state	NOUN
ajst-15578	57	37	of	of	ADP
ajst-15578	57	38	the	the	DET
ajst-15578	57	39	previous	previous	ADJ
ajst-15578	57	40	moment	moment	NOUN
ajst-15578	57	41	and	and	CCONJ
ajst-15578	57	42	the	the	DET
ajst-15578	57	43	state	state	NOUN
ajst-15578	57	44	of	of	ADP
ajst-15578	57	45	the	the	DET
ajst-15578	57	46	next	next	ADJ
ajst-15578	57	47	moment	moment	NOUN
ajst-15578	57	48	,	,	PUNCT
ajst-15578	57	49	so	so	ADV
ajst-15578	57	50	a	a	DET
ajst-15578	57	51	bidirectional	bidirectional	ADJ
ajst-15578	57	52	long	long	NOUN
ajst-15578	57	53	and	and	CCONJ
ajst-15578	57	54	shortterm	shortterm	PROPN
ajst-15578	57	55	memory	memory	NOUN
ajst-15578	57	56	network	network	NOUN
ajst-15578	57	57	(	(	PUNCT
ajst-15578	57	58	bilstm	bilstm	NOUN
ajst-15578	57	59	)	)	PUNCT
ajst-15578	57	60	is	be	AUX
ajst-15578	57	61	proposed[17	proposed[17	NUM
ajst-15578	57	62	]	]	PUNCT
ajst-15578	57	63	which	which	PRON
ajst-15578	57	64	is	be	AUX
ajst-15578	57	65	an	an	DET
ajst-15578	57	66	improved	improved	ADJ
ajst-15578	57	67	structure	structure	NOUN
ajst-15578	57	68	of	of	ADP
ajst-15578	57	69	lstm	lstm	NOUN
ajst-15578	57	70	,	,	PUNCT
ajst-15578	57	71	including	include	VERB
ajst-15578	57	72	two	two	NUM
ajst-15578	57	73	parts	part	NOUN
ajst-15578	57	74	of	of	ADP
ajst-15578	57	75	forward	forward	ADJ
ajst-15578	57	76	lstm	lstm	PROPN
ajst-15578	57	77	and	and	CCONJ
ajst-15578	57	78	backward	backward	ADJ
ajst-15578	57	79	lstm	lstm	PROPN
ajst-15578	57	80	,	,	PUNCT
ajst-15578	57	81	can	can	AUX
ajst-15578	57	82	extract	extract	VERB
ajst-15578	57	83	the	the	DET
ajst-15578	57	84	bidirectional	bidirectional	ADJ
ajst-15578	57	85	features	feature	NOUN
ajst-15578	57	86	of	of	ADP
ajst-15578	57	87	time	time	NOUN
ajst-15578	57	88	series	series	PROPN
ajst-15578	57	89	data	datum	NOUN
ajst-15578	57	90	from	from	ADP
ajst-15578	57	91	both	both	CCONJ
ajst-15578	57	92	forward	forward	ADV
ajst-15578	57	93	and	and	CCONJ
ajst-15578	57	94	backward	backward	ADJ
ajst-15578	57	95	directions[18	directions[18	NOUN
ajst-15578	57	96	]	]	PUNCT
ajst-15578	57	97	to	to	PART
ajst-15578	57	98	obtain	obtain	VERB
ajst-15578	57	99	better	well	ADJ
ajst-15578	57	100	results	result	NOUN
ajst-15578	57	101	.	.	PUNCT
ajst-15578	58	1	in	in	ADP
ajst-15578	58	2	order	order	NOUN
ajst-15578	58	3	to	to	PART
ajst-15578	58	4	achieve	achieve	VERB
ajst-15578	58	5	efficient	efficient	ADJ
ajst-15578	58	6	and	and	CCONJ
ajst-15578	58	7	accurate	accurate	ADJ
ajst-15578	58	8	downhole	downhole	NOUN
ajst-15578	58	9	missing	miss	VERB
ajst-15578	58	10	data	datum	NOUN
ajst-15578	58	11	restoration	restoration	NOUN
ajst-15578	58	12	,	,	PUNCT
ajst-15578	58	13	bilstm	bilstm	NOUN
ajst-15578	58	14	is	be	AUX
ajst-15578	58	15	selected	select	VERB
ajst-15578	58	16	as	as	ADP
ajst-15578	58	17	the	the	DET
ajst-15578	58	18	feature	feature	NOUN
ajst-15578	58	19	extraction	extraction	NOUN
ajst-15578	58	20	layer	layer	NOUN
ajst-15578	58	21	,	,	PUNCT
ajst-15578	58	22	and	and	CCONJ
ajst-15578	58	23	lstm	lstm	NOUN
ajst-15578	58	24	in	in	ADP
ajst-15578	58	25	both	both	CCONJ
ajst-15578	58	26	positive	positive	ADJ
ajst-15578	58	27	and	and	CCONJ
ajst-15578	58	28	negative	negative	ADJ
ajst-15578	58	29	directions	direction	NOUN
ajst-15578	58	30	are	be	AUX
ajst-15578	58	31	constructed	construct	VERB
ajst-15578	58	32	to	to	PART
ajst-15578	58	33	capture	capture	VERB
ajst-15578	58	34	the	the	DET
ajst-15578	58	35	complex	complex	ADJ
ajst-15578	58	36	variation	variation	NOUN
ajst-15578	58	37	patterns	pattern	NOUN
ajst-15578	58	38	between	between	ADP
ajst-15578	58	39	the	the	DET
ajst-15578	58	40	overflow	overflow	NOUN
ajst-15578	58	41	identification	identification	NOUN
ajst-15578	58	42	monitoring	monitor	VERB
ajst-15578	58	43	parameters	parameter	NOUN
ajst-15578	58	44	and	and	CCONJ
ajst-15578	58	45	downhole	downhole	NOUN
ajst-15578	58	46	monitoring	monitoring	NOUN
ajst-15578	58	47	parameters	parameter	NOUN
ajst-15578	58	48	,	,	PUNCT
ajst-15578	58	49	and	and	CCONJ
ajst-15578	58	50	the	the	DET
ajst-15578	58	51	input	input	NOUN
ajst-15578	58	52	features	feature	NOUN
ajst-15578	58	53	are	be	AUX
ajst-15578	58	54	the	the	DET
ajst-15578	58	55	seven	seven	NUM
ajst-15578	58	56	overflow	overflow	NOUN
ajst-15578	58	57	identification	identification	NOUN
ajst-15578	58	58	monitoring	monitor	VERB
ajst-15578	58	59	parameters	parameter	NOUN
ajst-15578	58	60	preferentially	preferentially	ADV
ajst-15578	58	61	selected	select	VERB
ajst-15578	58	62	in	in	ADP
ajst-15578	58	63	the	the	DET
ajst-15578	58	64	previous	previous	ADJ
ajst-15578	58	65	section	section	NOUN
ajst-15578	58	66	,	,	PUNCT
ajst-15578	58	67	and	and	CCONJ
ajst-15578	58	68	the	the	DET
ajst-15578	58	69	proposed	propose	VERB
ajst-15578	58	70	model	model	NOUN
ajst-15578	58	71	diagram	diagram	NOUN
ajst-15578	58	72	is	be	AUX
ajst-15578	58	73	shown	show	VERB
ajst-15578	58	74	in	in	ADP
ajst-15578	58	75	fig	fig	NOUN
ajst-15578	58	76	.	.	PUNCT
ajst-15578	59	1	3	3	X
ajst-15578	59	2	.	.	NUM
ajst-15578	60	1	2x	2x	NUM
ajst-15578	60	2	3x	3x	NUM
ajst-15578	60	3	4x	4x	NUM
ajst-15578	60	4	5x1x	5x1x	ADJ
ajst-15578	60	5	7x6x	7x6x	NOUN
ajst-15578	60	6	lstm	lstm	ADJ
ajst-15578	60	7	lstm	lstm	PROPN
ajst-15578	61	1	lstm	lstm	PROPN
ajst-15578	62	1	lstm	lstm	ADJ
ajst-15578	63	1	lstm	lstm	ADJ
ajst-15578	64	1	lstm	lstm	ADJ
ajst-15578	65	1	lstm	lstm	ADJ
ajst-15578	66	1	lstm	lstm	ADJ
ajst-15578	67	1	lstm	lstm	ADJ
ajst-15578	68	1	lstm	lstm	ADJ
ajst-15578	69	1	lstm	lstm	ADJ
ajst-15578	70	1	lstm	lstm	ADJ
ajst-15578	71	1	lstm	lstm	ADJ
ajst-15578	72	1	lstm	lstm	PROPN
ajst-15578	72	2	2y	2y	PROPN
ajst-15578	72	3	3y	3y	NUM
ajst-15578	72	4	4y	4y	NUM
ajst-15578	72	5	5y1y	5y1y	NUM
ajst-15578	72	6	7y6y	7y6y	NOUN
ajst-15578	72	7	'	'	PUNCT
ajst-15578	72	8	ic	ic	PROPN
ajst-15578	72	9	0c	0c	X
ajst-15578	72	10	ic	ic	PROPN
ajst-15578	72	11	'	'	PUNCT
ajst-15578	72	12	0c	0c	NOUN
ajst-15578	72	13	figure	figure	VERB
ajst-15578	72	14	3	3	NUM
ajst-15578	72	15	.	.	PUNCT
ajst-15578	72	16	schematic	schematic	ADJ
ajst-15578	72	17	diagram	diagram	NOUN
ajst-15578	72	18	of	of	ADP
ajst-15578	72	19	downhole	downhole	NOUN
ajst-15578	72	20	data	datum	NOUN
ajst-15578	72	21	repair	repair	NOUN
ajst-15578	72	22	layer	layer	NOUN
ajst-15578	72	23	in	in	ADP
ajst-15578	72	24	fig	fig	NOUN
ajst-15578	72	25	.	.	PUNCT
ajst-15578	73	1	3,𝑥	3,𝑥	PROPN
ajst-15578	73	2	and𝑦	and𝑦	PROPN
ajst-15578	73	3	represent	represent	VERB
ajst-15578	73	4	the	the	DET
ajst-15578	73	5	input	input	NOUN
ajst-15578	73	6	features	feature	NOUN
ajst-15578	73	7	and	and	CCONJ
ajst-15578	73	8	output	output	NOUN
ajst-15578	73	9	features	feature	NOUN
ajst-15578	73	10	of	of	ADP
ajst-15578	73	11	the	the	DET
ajst-15578	73	12	proposed	propose	VERB
ajst-15578	73	13	network	network	NOUN
ajst-15578	73	14	model	model	NOUN
ajst-15578	73	15	at	at	ADP
ajst-15578	73	16	a	a	DET
ajst-15578	73	17	certain	certain	ADJ
ajst-15578	73	18	moment	moment	NOUN
ajst-15578	73	19	,	,	PUNCT
ajst-15578	73	20	respectively.𝑐	respectively.𝑐	INTJ
ajst-15578	73	21	,	,	PUNCT
ajst-15578	73	22	𝑐	𝑐	PROPN
ajst-15578	73	23	and𝑐	and𝑐	NOUN
ajst-15578	73	24	,	,	PUNCT
ajst-15578	73	25	𝑐	𝑐	PROPN
ajst-15578	73	26	are	be	AUX
ajst-15578	73	27	the	the	DET
ajst-15578	73	28	input	input	NOUN
ajst-15578	73	29	and	and	CCONJ
ajst-15578	73	30	output	output	NOUN
ajst-15578	73	31	states	state	NOUN
ajst-15578	73	32	in	in	ADP
ajst-15578	73	33	the	the	DET
ajst-15578	73	34	cell	cell	NOUN
ajst-15578	73	35	of	of	ADP
ajst-15578	73	36	the	the	DET
ajst-15578	73	37	bidirectional	bidirectional	ADJ
ajst-15578	73	38	lstm	lstm	PROPN
ajst-15578	73	39	unit	unit	NOUN
ajst-15578	73	40	.	.	PUNCT
ajst-15578	74	1	the	the	DET
ajst-15578	74	2	downhole	downhole	NOUN
ajst-15578	74	3	data	data	NOUN
ajst-15578	74	4	restoration	restoration	NOUN
ajst-15578	74	5	layer	layer	NOUN
ajst-15578	74	6	extracts	extract	VERB
ajst-15578	74	7	temporal	temporal	ADJ
ajst-15578	74	8	features	feature	NOUN
ajst-15578	74	9	by	by	ADP
ajst-15578	74	10	extracting	extract	VERB
ajst-15578	74	11	the	the	DET
ajst-15578	74	12	seven	seven	NUM
ajst-15578	74	13	input	input	NOUN
ajst-15578	74	14	feature	feature	NOUN
ajst-15578	74	15	parameters	parameter	NOUN
ajst-15578	74	16	in	in	ADP
ajst-15578	74	17	both	both	CCONJ
ajst-15578	74	18	forward	forward	ADJ
ajst-15578	74	19	and	and	CCONJ
ajst-15578	74	20	backward	backward	ADJ
ajst-15578	74	21	directions	direction	NOUN
ajst-15578	74	22	according	accord	VERB
ajst-15578	74	23	to	to	ADP
ajst-15578	74	24	eq	eq	PROPN
ajst-15578	74	25	.	.	PUNCT
ajst-15578	75	1	(	(	PUNCT
ajst-15578	75	2	2	2	NUM
ajst-15578	75	3	)	)	PUNCT
ajst-15578	75	4	~eq	~eq	NUM
ajst-15578	75	5	.	.	PUNCT
ajst-15578	76	1	(	(	PUNCT
ajst-15578	76	2	7	7	NUM
ajst-15578	76	3	)	)	PUNCT
ajst-15578	76	4	after	after	ADP
ajst-15578	76	5	training	training	NOUN
ajst-15578	76	6	,	,	PUNCT
ajst-15578	76	7	we	we	PRON
ajst-15578	76	8	obtain	obtain	VERB
ajst-15578	76	9	.	.	PUNCT
ajst-15578	77	1	ℎ⃗	ℎ⃗	NOUN
ajst-15578	77	2	𝑙𝑠𝑡	𝑙𝑠𝑡	PROPN
ajst-15578	77	3	�	�	PROPN
ajst-15578	77	4	⃗	⃗	NOUN
ajst-15578	77	5	�	�	PROPN
ajst-15578	77	6	𝑔	𝑔	PROPN
ajst-15578	77	7	(	(	PUNCT
ajst-15578	77	8	8)	8)	NUM
ajst-15578	77	9	ℎ⃖	ℎ⃖	NOUN
ajst-15578	77	10	𝑙𝑠𝑡𝑚⃖	𝑙𝑠𝑡𝑚⃖	NOUN
ajst-15578	78	1	𝑔	𝑔	X
ajst-15578	78	2	(	(	PUNCT
ajst-15578	78	3	9	9	NUM
ajst-15578	78	4	)	)	PUNCT
ajst-15578	78	5	then	then	ADV
ajst-15578	78	6	the	the	DET
ajst-15578	78	7	repair	repair	NOUN
ajst-15578	78	8	prediction	prediction	NOUN
ajst-15578	78	9	for	for	ADP
ajst-15578	78	10	downhole	downhole	NOUN
ajst-15578	78	11	missing	miss	VERB
ajst-15578	78	12	data	datum	NOUN
ajst-15578	78	13	at	at	ADP
ajst-15578	78	14	moment	moment	NOUN
ajst-15578	78	15	t	t	PROPN
ajst-15578	78	16	can	can	AUX
ajst-15578	78	17	be	be	AUX
ajst-15578	78	18	expressed	express	VERB
ajst-15578	78	19	as	as	ADP
ajst-15578	78	20	𝑦	𝑦	X
ajst-15578	78	21	𝜎	𝜎	PROPN
ajst-15578	78	22	𝜔ℎ	𝜔ℎ	VERB
ajst-15578	78	23	𝜔	𝜔	X
ajst-15578	78	24	ℎ	ℎ	PROPN
ajst-15578	78	25	(	(	PUNCT
ajst-15578	78	26	10	10	NUM
ajst-15578	78	27	)	)	PUNCT
ajst-15578	78	28	where	where	SCONJ
ajst-15578	78	29	𝜎	𝜎	PROPN
ajst-15578	78	30	∙	∙	PROPN
ajst-15578	78	31	is	be	AUX
ajst-15578	78	32	the	the	DET
ajst-15578	78	33	activation	activation	NOUN
ajst-15578	78	34	function	function	NOUN
ajst-15578	78	35	of	of	ADP
ajst-15578	78	36	the	the	DET
ajst-15578	78	37	proposed	propose	VERB
ajst-15578	78	38	model	model	NOUN
ajst-15578	78	39	,	,	PUNCT
ajst-15578	78	40	the	the	DET
ajst-15578	78	41	ℎ	ℎ	PROPN
ajst-15578	78	42	and	and	CCONJ
ajst-15578	78	43	ℎ	ℎ	PROPN
ajst-15578	78	44	denotes	denote	VERB
ajst-15578	78	45	the	the	DET
ajst-15578	78	46	output	output	NOUN
ajst-15578	78	47	of	of	ADP
ajst-15578	78	48	the	the	DET
ajst-15578	78	49	forward	forward	NOUN
ajst-15578	78	50	and	and	CCONJ
ajst-15578	78	51	reverse	reverse	ADJ
ajst-15578	78	52	bi	bi	ADJ
ajst-15578	78	53	-	-	ADJ
ajst-15578	78	54	directional	directional	ADJ
ajst-15578	78	55	lstm	lstm	ADJ
ajst-15578	78	56	units	unit	NOUN
ajst-15578	78	57	,	,	PUNCT
ajst-15578	78	58	and𝜔	and𝜔	NOUN
ajst-15578	78	59	and𝜔	and𝜔	NOUN
ajst-15578	78	60	denotes	denote	VERB
ajst-15578	78	61	the	the	DET
ajst-15578	78	62	weights	weight	NOUN
ajst-15578	78	63	.	.	PUNCT
ajst-15578	79	1	the	the	DET
ajst-15578	79	2	proposed	propose	VERB
ajst-15578	79	3	model	model	NOUN
ajst-15578	79	4	fills	fill	VERB
ajst-15578	79	5	in	in	ADP
ajst-15578	79	6	the	the	DET
ajst-15578	79	7	missing	miss	VERB
ajst-15578	79	8	data	datum	NOUN
ajst-15578	79	9	of	of	ADP
ajst-15578	79	10	101	101	NUM
ajst-15578	79	11	downhole	downhole	NOUN
ajst-15578	79	12	by	by	ADP
ajst-15578	79	13	the	the	DET
ajst-15578	79	14	predicted	predict	VERB
ajst-15578	79	15	values	value	NOUN
ajst-15578	79	16	after	after	ADP
ajst-15578	79	17	fully	fully	ADV
ajst-15578	79	18	learning	learn	VERB
ajst-15578	79	19	the	the	DET
ajst-15578	79	20	hidden	hide	VERB
ajst-15578	79	21	features	feature	NOUN
ajst-15578	79	22	and	and	CCONJ
ajst-15578	79	23	change	change	VERB
ajst-15578	79	24	patterns	pattern	NOUN
ajst-15578	79	25	before	before	ADP
ajst-15578	79	26	the	the	DET
ajst-15578	79	27	missing	miss	VERB
ajst-15578	79	28	data	datum	NOUN
ajst-15578	79	29	.	.	PUNCT
ajst-15578	80	1	2.3	2.3	NUM
ajst-15578	80	2	.	.	PUNCT
ajst-15578	81	1	intelligent	intelligent	ADJ
ajst-15578	81	2	recognition	recognition	NOUN
ajst-15578	81	3	model	model	NOUN
ajst-15578	81	4	classification	classification	NOUN
ajst-15578	81	5	layer	layer	NOUN
ajst-15578	81	6	bp	bp	PROPN
ajst-15578	81	7	neural	neural	ADJ
ajst-15578	81	8	network	network	NOUN
ajst-15578	81	9	algorithm	algorithm	NOUN
ajst-15578	81	10	is	be	AUX
ajst-15578	81	11	a	a	DET
ajst-15578	81	12	multilayer	multilayer	ADJ
ajst-15578	81	13	feedforward	feedforward	NOUN
ajst-15578	81	14	neural	neural	ADJ
ajst-15578	81	15	network	network	NOUN
ajst-15578	81	16	algorithm	algorithm	NOUN
ajst-15578	81	17	that	that	PRON
ajst-15578	81	18	back	back	ADV
ajst-15578	81	19	propagates	propagate	VERB
ajst-15578	81	20	by	by	ADP
ajst-15578	81	21	output	output	NOUN
ajst-15578	81	22	error	error	NOUN
ajst-15578	81	23	,	,	PUNCT
ajst-15578	81	24	and	and	CCONJ
ajst-15578	81	25	achieves	achieve	VERB
ajst-15578	81	26	prediction	prediction	NOUN
ajst-15578	81	27	and	and	CCONJ
ajst-15578	81	28	classification	classification	NOUN
ajst-15578	81	29	of	of	ADP
ajst-15578	81	30	data	datum	NOUN
ajst-15578	81	31	by	by	ADP
ajst-15578	81	32	training	train	VERB
ajst-15578	81	33	a	a	DET
ajst-15578	81	34	complex	complex	ADJ
ajst-15578	81	35	and	and	CCONJ
ajst-15578	81	36	nonlinear	nonlinear	ADJ
ajst-15578	81	37	network	network	NOUN
ajst-15578	81	38	structure	structure	NOUN
ajst-15578	81	39	.	.	PUNCT
ajst-15578	82	1	the	the	DET
ajst-15578	82	2	algorithm	algorithm	NOUN
ajst-15578	82	3	model	model	NOUN
ajst-15578	82	4	mainly	mainly	ADV
ajst-15578	82	5	includes	include	VERB
ajst-15578	82	6	input	input	NOUN
ajst-15578	82	7	layer	layer	NOUN
ajst-15578	82	8	,	,	PUNCT
ajst-15578	82	9	hidden	hide	VERB
ajst-15578	82	10	layer	layer	NOUN
ajst-15578	82	11	and	and	CCONJ
ajst-15578	82	12	output	output	NOUN
ajst-15578	82	13	layer	layer	NOUN
ajst-15578	82	14	,	,	PUNCT
ajst-15578	82	15	and	and	CCONJ
ajst-15578	82	16	its	its	PRON
ajst-15578	82	17	structure	structure	NOUN
ajst-15578	82	18	is	be	AUX
ajst-15578	82	19	schematically	schematically	NOUN
ajst-15578	82	20	shown	show	VERB
ajst-15578	82	21	in	in	ADP
ajst-15578	82	22	fig	fig	NOUN
ajst-15578	82	23	.	.	PUNCT
ajst-15578	83	1	4	4	X
ajst-15578	83	2	.	.	X
ajst-15578	83	3	i1	i1	PROPN
ajst-15578	83	4	in	in	ADP
ajst-15578	83	5	h1	h1	PROPN
ajst-15578	83	6	h2	h2	PROPN
ajst-15578	83	7	h3	h3	NOUN
ajst-15578	83	8	o1	o1	NOUN
ajst-15578	83	9	o2	o2	PROPN
ajst-15578	83	10	hn	hn	PROPN
ajst-15578	83	11	intput	intput	NOUN
ajst-15578	83	12	 	 	SPACE
ajst-15578	83	13	layer	layer	NOUN
ajst-15578	83	14	hidden	hide	VERB
ajst-15578	83	15	 	 	SPACE
ajst-15578	83	16	layer	layer	NOUN
ajst-15578	83	17	output	output	NOUN
ajst-15578	83	18	 	 	SPACE
ajst-15578	83	19	layer	layer	NOUN
ajst-15578	83	20	...	...	PUNCT
ajst-15578	83	21	...	...	PUNCT
ajst-15578	84	1	figure	figure	NOUN
ajst-15578	84	2	4	4	NUM
ajst-15578	84	3	.	.	PUNCT
ajst-15578	84	4	schematic	schematic	ADJ
ajst-15578	84	5	diagram	diagram	NOUN
ajst-15578	84	6	of	of	ADP
ajst-15578	84	7	bp	bp	PROPN
ajst-15578	84	8	neural	neural	ADJ
ajst-15578	84	9	network	network	NOUN
ajst-15578	84	10	structure	structure	NOUN
ajst-15578	84	11	the	the	DET
ajst-15578	84	12	bp	bp	PROPN
ajst-15578	84	13	neural	neural	PROPN
ajst-15578	84	14	network	network	NOUN
ajst-15578	84	15	model	model	NOUN
ajst-15578	84	16	is	be	AUX
ajst-15578	84	17	selected	select	VERB
ajst-15578	84	18	for	for	ADP
ajst-15578	84	19	the	the	DET
ajst-15578	84	20	classification	classification	NOUN
ajst-15578	84	21	layer	layer	NOUN
ajst-15578	84	22	of	of	ADP
ajst-15578	84	23	the	the	DET
ajst-15578	84	24	overflow	overflow	ADJ
ajst-15578	84	25	intelligent	intelligent	ADJ
ajst-15578	84	26	recognition	recognition	NOUN
ajst-15578	84	27	.	.	PUNCT
ajst-15578	85	1	the	the	DET
ajst-15578	85	2	parameters	parameter	NOUN
ajst-15578	85	3	of	of	ADP
ajst-15578	85	4	the	the	DET
ajst-15578	85	5	model	model	NOUN
ajst-15578	85	6	input	input	NOUN
ajst-15578	85	7	neurons	neuron	NOUN
ajst-15578	85	8	are	be	AUX
ajst-15578	85	9	the	the	DET
ajst-15578	85	10	parameters	parameter	NOUN
ajst-15578	85	11	of	of	ADP
ajst-15578	85	12	the	the	DET
ajst-15578	85	13	overflow	overflow	ADJ
ajst-15578	85	14	intelligent	intelligent	ADJ
ajst-15578	85	15	recognition	recognition	NOUN
ajst-15578	85	16	after	after	ADP
ajst-15578	85	17	the	the	DET
ajst-15578	85	18	missing	miss	VERB
ajst-15578	85	19	data	datum	NOUN
ajst-15578	85	20	repair	repair	NOUN
ajst-15578	85	21	output	output	NOUN
ajst-15578	85	22	from	from	ADP
ajst-15578	85	23	the	the	DET
ajst-15578	85	24	downhole	downhole	NOUN
ajst-15578	85	25	data	datum	NOUN
ajst-15578	85	26	repair	repair	NOUN
ajst-15578	85	27	layer	layer	NOUN
ajst-15578	85	28	,	,	PUNCT
ajst-15578	85	29	so	so	CCONJ
ajst-15578	85	30	the	the	DET
ajst-15578	85	31	number	number	NOUN
ajst-15578	85	32	of	of	ADP
ajst-15578	85	33	input	input	NOUN
ajst-15578	85	34	neurons	neuron	NOUN
ajst-15578	85	35	is	be	AUX
ajst-15578	85	36	seven	seven	NUM
ajst-15578	85	37	;	;	PUNCT
ajst-15578	85	38	the	the	DET
ajst-15578	85	39	output	output	NOUN
ajst-15578	85	40	neuron	neuron	NOUN
ajst-15578	85	41	is	be	AUX
ajst-15578	85	42	one	one	NUM
ajst-15578	85	43	,	,	PUNCT
ajst-15578	85	44	which	which	PRON
ajst-15578	85	45	is	be	AUX
ajst-15578	85	46	the	the	DET
ajst-15578	85	47	risk	risk	NOUN
ajst-15578	85	48	of	of	ADP
ajst-15578	85	49	overflow	overflow	ADJ
ajst-15578	85	50	occurrence	occurrence	NOUN
ajst-15578	85	51	.	.	PUNCT
ajst-15578	86	1	before	before	ADP
ajst-15578	86	2	training	train	VERB
ajst-15578	86	3	the	the	DET
ajst-15578	86	4	bp	bp	PROPN
ajst-15578	86	5	neural	neural	PROPN
ajst-15578	86	6	network	network	NOUN
ajst-15578	86	7	,	,	PUNCT
ajst-15578	86	8	the	the	DET
ajst-15578	86	9	missing	miss	VERB
ajst-15578	86	10	data	datum	NOUN
ajst-15578	86	11	repair	repair	NOUN
ajst-15578	86	12	prediction	prediction	NOUN
ajst-15578	86	13	results	result	NOUN
ajst-15578	86	14	from	from	ADP
ajst-15578	86	15	the	the	DET
ajst-15578	86	16	downhole	downhole	NOUN
ajst-15578	86	17	data	datum	NOUN
ajst-15578	86	18	repair	repair	NOUN
ajst-15578	86	19	layer	layer	NOUN
ajst-15578	86	20	are	be	AUX
ajst-15578	86	21	first	first	ADV
ajst-15578	86	22	normalized	normalize	VERB
ajst-15578	86	23	by	by	ADP
ajst-15578	86	24	z	z	NOUN
ajst-15578	86	25	-	-	PUNCT
ajst-15578	86	26	score	score	NOUN
ajst-15578	86	27	and	and	CCONJ
ajst-15578	86	28	then	then	ADV
ajst-15578	86	29	input	input	VERB
ajst-15578	86	30	into	into	ADP
ajst-15578	86	31	the	the	DET
ajst-15578	86	32	bp	bp	PROPN
ajst-15578	86	33	neural	neural	PROPN
ajst-15578	86	34	network	network	PROPN
ajst-15578	86	35	model	model	NOUN
ajst-15578	86	36	,	,	PUNCT
ajst-15578	86	37	which	which	PRON
ajst-15578	86	38	can	can	AUX
ajst-15578	86	39	speed	speed	VERB
ajst-15578	86	40	up	up	ADP
ajst-15578	86	41	the	the	DET
ajst-15578	86	42	training	training	NOUN
ajst-15578	86	43	process	process	NOUN
ajst-15578	86	44	,	,	PUNCT
ajst-15578	86	45	improve	improve	VERB
ajst-15578	86	46	the	the	DET
ajst-15578	86	47	model	model	NOUN
ajst-15578	86	48	accuracy	accuracy	NOUN
ajst-15578	86	49	and	and	CCONJ
ajst-15578	86	50	prevent	prevent	VERB
ajst-15578	86	51	the	the	DET
ajst-15578	86	52	neural	neural	ADJ
ajst-15578	86	53	network	network	NOUN
ajst-15578	86	54	gradient	gradient	NOUN
ajst-15578	86	55	explosion.[19	explosion.[19	PROPN
ajst-15578	86	56	]	]	PUNCT
ajst-15578	86	57	the	the	DET
ajst-15578	86	58	z	z	NOUN
ajst-15578	86	59	-	-	PUNCT
ajst-15578	86	60	score	score	NOUN
ajst-15578	86	61	normalization	normalization	NOUN
ajst-15578	86	62	formula	formula	NOUN
ajst-15578	86	63	is	be	AUX
ajst-15578	86	64	as	as	SCONJ
ajst-15578	86	65	follows	follow	VERB
ajst-15578	86	66	.	.	PUNCT
ajst-15578	87	1	𝑧	𝑧	PRON
ajst-15578	87	2	(	(	PUNCT
ajst-15578	87	3	11	11	NUM
ajst-15578	87	4	)	)	PUNCT
ajst-15578	87	5	among	among	ADP
ajst-15578	87	6	them	they	PRON
ajst-15578	87	7	,	,	PUNCT
ajst-15578	87	8	the	the	DET
ajst-15578	87	9	𝑦	𝑦	NOUN
ajst-15578	87	10	and	and	CCONJ
ajst-15578	87	11	𝑠	𝑠	PROPN
ajst-15578	87	12	are	be	AUX
ajst-15578	87	13	the	the	DET
ajst-15578	87	14	mean	mean	ADJ
ajst-15578	87	15	and	and	CCONJ
ajst-15578	87	16	sample	sample	VERB
ajst-15578	87	17	standard	standard	ADJ
ajst-15578	87	18	deviation	deviation	NOUN
ajst-15578	87	19	of	of	ADP
ajst-15578	87	20	the	the	DET
ajst-15578	87	21	data	datum	NOUN
ajst-15578	87	22	set	set	VERB
ajst-15578	87	23	,	,	PUNCT
ajst-15578	87	24	respectively	respectively	ADV
ajst-15578	87	25	.	.	PUNCT
ajst-15578	88	1	𝑦	𝑦	NOUN
ajst-15578	88	2	∑	∑	PUNCT
ajst-15578	88	3	(	(	PUNCT
ajst-15578	88	4	12	12	NUM
ajst-15578	88	5	)	)	PUNCT
ajst-15578	88	6	𝑠	𝑠	X
ajst-15578	88	7	∑	∑	PUNCT
ajst-15578	88	8	𝑦	𝑦	PRON
ajst-15578	88	9	𝑦	𝑦	X
ajst-15578	88	10	(	(	PUNCT
ajst-15578	88	11	13	13	NUM
ajst-15578	88	12	)	)	PUNCT
ajst-15578	88	13	the	the	DET
ajst-15578	88	14	activation	activation	NOUN
ajst-15578	88	15	function	function	NOUN
ajst-15578	88	16	selects	select	VERB
ajst-15578	88	17	the	the	DET
ajst-15578	88	18	relu	relu	NOUN
ajst-15578	88	19	function	function	NOUN
ajst-15578	88	20	with	with	ADP
ajst-15578	88	21	relatively	relatively	ADV
ajst-15578	88	22	fast	fast	ADJ
ajst-15578	88	23	convergence	convergence	NOUN
ajst-15578	88	24	,	,	PUNCT
ajst-15578	88	25	which	which	PRON
ajst-15578	88	26	is	be	AUX
ajst-15578	88	27	characterized	characterize	VERB
ajst-15578	88	28	by	by	ADP
ajst-15578	88	29	the	the	DET
ajst-15578	88	30	output	output	NOUN
ajst-15578	88	31	value	value	NOUN
ajst-15578	88	32	equal	equal	ADJ
ajst-15578	88	33	to	to	ADP
ajst-15578	88	34	the	the	DET
ajst-15578	88	35	input	input	NOUN
ajst-15578	88	36	value	value	NOUN
ajst-15578	88	37	when	when	SCONJ
ajst-15578	88	38	the	the	DET
ajst-15578	88	39	input	input	NOUN
ajst-15578	88	40	signal	signal	NOUN
ajst-15578	88	41	is	be	AUX
ajst-15578	88	42	greater	great	ADJ
ajst-15578	88	43	than	than	ADP
ajst-15578	88	44	0	0	NUM
ajst-15578	88	45	.	.	PUNCT
ajst-15578	89	1	when	when	SCONJ
ajst-15578	89	2	the	the	DET
ajst-15578	89	3	input	input	NOUN
ajst-15578	89	4	signal	signal	NOUN
ajst-15578	89	5	is	be	AUX
ajst-15578	89	6	less	less	ADJ
ajst-15578	89	7	than	than	ADP
ajst-15578	89	8	0	0	NUM
ajst-15578	89	9	,	,	PUNCT
ajst-15578	89	10	the	the	DET
ajst-15578	89	11	output	output	NOUN
ajst-15578	89	12	value	value	NOUN
ajst-15578	89	13	is	be	AUX
ajst-15578	89	14	always	always	ADV
ajst-15578	89	15	0	0	NUM
ajst-15578	89	16	.	.	PUNCT
ajst-15578	90	1	therefore	therefore	ADV
ajst-15578	90	2	,	,	PUNCT
ajst-15578	90	3	the	the	DET
ajst-15578	90	4	overflow	overflow	NOUN
ajst-15578	90	5	data	data	NOUN
ajst-15578	90	6	is	be	AUX
ajst-15578	90	7	calibrated	calibrate	VERB
ajst-15578	90	8	as	as	ADP
ajst-15578	90	9	positive	positive	ADJ
ajst-15578	90	10	.	.	PUNCT
ajst-15578	91	1	the	the	DET
ajst-15578	91	2	number	number	NOUN
ajst-15578	91	3	of	of	ADP
ajst-15578	91	4	hidden	hide	VERB
ajst-15578	91	5	layers	layer	NOUN
ajst-15578	91	6	and	and	CCONJ
ajst-15578	91	7	the	the	DET
ajst-15578	91	8	number	number	NOUN
ajst-15578	91	9	of	of	ADP
ajst-15578	91	10	neurons	neuron	NOUN
ajst-15578	91	11	directly	directly	ADV
ajst-15578	91	12	determine	determine	VERB
ajst-15578	91	13	the	the	DET
ajst-15578	91	14	recognition	recognition	NOUN
ajst-15578	91	15	ability	ability	NOUN
ajst-15578	91	16	and	and	CCONJ
ajst-15578	91	17	training	training	NOUN
ajst-15578	91	18	learning	learning	NOUN
ajst-15578	91	19	rate	rate	NOUN
ajst-15578	91	20	of	of	ADP
ajst-15578	91	21	the	the	DET
ajst-15578	91	22	model	model	NOUN
ajst-15578	91	23	,	,	PUNCT
ajst-15578	91	24	too	too	ADV
ajst-15578	91	25	many	many	ADJ
ajst-15578	91	26	hidden	hidden	ADJ
ajst-15578	91	27	layers	layer	NOUN
ajst-15578	91	28	will	will	AUX
ajst-15578	91	29	lead	lead	VERB
ajst-15578	91	30	to	to	ADP
ajst-15578	91	31	overfitting	overfitting	NOUN
ajst-15578	91	32	and	and	CCONJ
ajst-15578	91	33	too	too	ADV
ajst-15578	91	34	few	few	ADJ
ajst-15578	91	35	layers	layer	NOUN
ajst-15578	91	36	will	will	AUX
ajst-15578	91	37	reduce	reduce	VERB
ajst-15578	91	38	the	the	DET
ajst-15578	91	39	recognition	recognition	NOUN
ajst-15578	91	40	ability	ability	NOUN
ajst-15578	91	41	of	of	ADP
ajst-15578	91	42	the	the	DET
ajst-15578	91	43	model.[20	model.[20	NOUN
ajst-15578	91	44	]	]	PUNCT
ajst-15578	91	45	too	too	ADV
ajst-15578	91	46	many	many	ADJ
ajst-15578	91	47	layers	layer	NOUN
ajst-15578	91	48	will	will	AUX
ajst-15578	91	49	lead	lead	VERB
ajst-15578	91	50	to	to	ADP
ajst-15578	91	51	overfitting	overfitting	NOUN
ajst-15578	91	52	and	and	CCONJ
ajst-15578	91	53	too	too	ADV
ajst-15578	91	54	few	few	ADJ
ajst-15578	91	55	layers	layer	NOUN
ajst-15578	91	56	will	will	AUX
ajst-15578	91	57	reduce	reduce	VERB
ajst-15578	91	58	the	the	DET
ajst-15578	91	59	recognition	recognition	NOUN
ajst-15578	91	60	ability	ability	NOUN
ajst-15578	91	61	of	of	ADP
ajst-15578	91	62	the	the	DET
ajst-15578	91	63	model	model	NOUN
ajst-15578	91	64	;	;	PUNCT
ajst-15578	91	65	too	too	ADV
ajst-15578	91	66	many	many	ADJ
ajst-15578	91	67	neurons	neuron	NOUN
ajst-15578	91	68	will	will	AUX
ajst-15578	91	69	increase	increase	VERB
ajst-15578	91	70	the	the	DET
ajst-15578	91	71	computational	computational	ADJ
ajst-15578	91	72	power	power	NOUN
ajst-15578	91	73	of	of	ADP
ajst-15578	91	74	the	the	DET
ajst-15578	91	75	model	model	NOUN
ajst-15578	91	76	and	and	CCONJ
ajst-15578	91	77	lead	lead	VERB
ajst-15578	91	78	to	to	ADP
ajst-15578	91	79	low	low	ADJ
ajst-15578	91	80	recognition	recognition	NOUN
ajst-15578	91	81	efficiency	efficiency	NOUN
ajst-15578	91	82	,	,	PUNCT
ajst-15578	91	83	while	while	SCONJ
ajst-15578	91	84	not	not	PART
ajst-15578	91	85	enough	enough	ADJ
ajst-15578	91	86	neurons	neuron	NOUN
ajst-15578	91	87	will	will	AUX
ajst-15578	91	88	affect	affect	VERB
ajst-15578	91	89	the	the	DET
ajst-15578	91	90	recognition	recognition	NOUN
ajst-15578	91	91	accuracy.[21	accuracy.[21	PROPN
ajst-15578	91	92	]	]	PUNCT
ajst-15578	92	1	the	the	DET
ajst-15578	92	2	number	number	NOUN
ajst-15578	92	3	of	of	ADP
ajst-15578	92	4	nodes	node	NOUN
ajst-15578	92	5	in	in	ADP
ajst-15578	92	6	the	the	DET
ajst-15578	92	7	hidden	hide	VERB
ajst-15578	92	8	layer	layer	NOUN
ajst-15578	92	9	is	be	AUX
ajst-15578	92	10	mainly	mainly	ADV
ajst-15578	92	11	determined	determine	VERB
ajst-15578	92	12	empirically	empirically	ADV
ajst-15578	92	13	.	.	PUNCT
ajst-15578	93	1	the	the	DET
ajst-15578	93	2	number	number	NOUN
ajst-15578	93	3	of	of	ADP
ajst-15578	93	4	nodes	node	NOUN
ajst-15578	93	5	in	in	ADP
ajst-15578	93	6	the	the	DET
ajst-15578	93	7	hidden	hide	VERB
ajst-15578	93	8	layer	layer	NOUN
ajst-15578	93	9	is	be	AUX
ajst-15578	93	10	determined	determine	VERB
ajst-15578	93	11	empirically	empirically	ADV
ajst-15578	93	12	,	,	PUNCT
ajst-15578	93	13	and	and	CCONJ
ajst-15578	93	14	the	the	DET
ajst-15578	93	15	empirical	empirical	ADJ
ajst-15578	93	16	formula	formula	NOUN
ajst-15578	93	17	is	be	AUX
ajst-15578	93	18	shown	show	VERB
ajst-15578	93	19	as	as	ADP
ajst-15578	93	20	follows	follow	VERB
ajst-15578	93	21	(	(	PUNCT
ajst-15578	93	22	14	14	NUM
ajst-15578	93	23	)	)	PUNCT
ajst-15578	93	24	.	.	PUNCT
ajst-15578	94	1	𝑛	𝑛	DET
ajst-15578	94	2	𝑥	𝑥	DET
ajst-15578	94	3	𝑦	𝑦	NUM
ajst-15578	94	4	𝑎	𝑎	X
ajst-15578	94	5	(	(	PUNCT
ajst-15578	94	6	14	14	NUM
ajst-15578	94	7	)	)	PUNCT
ajst-15578	94	8	among	among	ADP
ajst-15578	94	9	them	they	PRON
ajst-15578	94	10	𝑛	𝑛	PRON
ajst-15578	94	11	,	,	PUNCT
ajst-15578	94	12	𝑥	𝑥	PROPN
ajst-15578	94	13	and	and	CCONJ
ajst-15578	94	14	𝑦	𝑦	NOUN
ajst-15578	94	15	are	be	AUX
ajst-15578	94	16	the	the	DET
ajst-15578	94	17	number	number	NOUN
ajst-15578	94	18	of	of	ADP
ajst-15578	94	19	nodes	node	NOUN
ajst-15578	94	20	in	in	ADP
ajst-15578	94	21	the	the	DET
ajst-15578	94	22	hidden	hide	VERB
ajst-15578	94	23	layer	layer	NOUN
ajst-15578	94	24	,	,	PUNCT
ajst-15578	94	25	the	the	DET
ajst-15578	94	26	input	input	NOUN
ajst-15578	94	27	layer	layer	NOUN
ajst-15578	94	28	and	and	CCONJ
ajst-15578	94	29	the	the	DET
ajst-15578	94	30	output	output	NOUN
ajst-15578	94	31	layer	layer	NOUN
ajst-15578	94	32	,	,	PUNCT
ajst-15578	94	33	respectively.𝑎	respectively.𝑎	NOUN
ajst-15578	94	34	is	be	AUX
ajst-15578	94	35	a	a	DET
ajst-15578	94	36	random	random	ADJ
ajst-15578	94	37	integer	integer	NOUN
ajst-15578	94	38	between	between	ADP
ajst-15578	94	39	1	1	NUM
ajst-15578	94	40	and	and	CCONJ
ajst-15578	94	41	10	10	NUM
ajst-15578	94	42	.	.	PUNCT
ajst-15578	95	1	through	through	ADP
ajst-15578	95	2	continuous	continuous	ADJ
ajst-15578	95	3	experiments	experiment	NOUN
ajst-15578	95	4	and	and	CCONJ
ajst-15578	95	5	adjusting	adjust	VERB
ajst-15578	95	6	the	the	DET
ajst-15578	95	7	network	network	NOUN
ajst-15578	95	8	structure	structure	NOUN
ajst-15578	95	9	,	,	PUNCT
ajst-15578	95	10	it	it	PRON
ajst-15578	95	11	was	be	AUX
ajst-15578	95	12	found	find	VERB
ajst-15578	95	13	that	that	SCONJ
ajst-15578	95	14	when	when	SCONJ
ajst-15578	95	15	the	the	DET
ajst-15578	95	16	number	number	NOUN
ajst-15578	95	17	of	of	ADP
ajst-15578	95	18	implicit	implicit	ADJ
ajst-15578	95	19	layers	layer	NOUN
ajst-15578	95	20	of	of	ADP
ajst-15578	95	21	the	the	DET
ajst-15578	95	22	model	model	NOUN
ajst-15578	95	23	was	be	AUX
ajst-15578	95	24	1	1	NUM
ajst-15578	95	25	and	and	CCONJ
ajst-15578	95	26	2	2	NUM
ajst-15578	95	27	,	,	PUNCT
ajst-15578	95	28	the	the	DET
ajst-15578	95	29	sse	sse	NOUN
ajst-15578	95	30	of	of	ADP
ajst-15578	95	31	the	the	DET
ajst-15578	95	32	model	model	NOUN
ajst-15578	95	33	was	be	AUX
ajst-15578	95	34	larger	large	ADJ
ajst-15578	95	35	and	and	CCONJ
ajst-15578	95	36	the	the	DET
ajst-15578	95	37	accurate	accurate	ADJ
ajst-15578	95	38	recognition	recognition	NOUN
ajst-15578	95	39	of	of	ADP
ajst-15578	95	40	overflow	overflow	NOUN
ajst-15578	95	41	could	could	AUX
ajst-15578	95	42	not	not	PART
ajst-15578	95	43	be	be	AUX
ajst-15578	95	44	achieved	achieve	VERB
ajst-15578	95	45	;	;	PUNCT
ajst-15578	95	46	with	with	ADP
ajst-15578	95	47	the	the	DET
ajst-15578	95	48	increase	increase	NOUN
ajst-15578	95	49	of	of	ADP
ajst-15578	95	50	the	the	DET
ajst-15578	95	51	number	number	NOUN
ajst-15578	95	52	of	of	ADP
ajst-15578	95	53	implicit	implicit	ADJ
ajst-15578	95	54	layers	layer	NOUN
ajst-15578	95	55	,	,	PUNCT
ajst-15578	95	56	the	the	DET
ajst-15578	95	57	sse	sse	NOUN
ajst-15578	95	58	of	of	ADP
ajst-15578	95	59	the	the	DET
ajst-15578	95	60	model	model	NOUN
ajst-15578	95	61	kept	keep	VERB
ajst-15578	95	62	decreasing	decrease	VERB
ajst-15578	95	63	,	,	PUNCT
ajst-15578	95	64	and	and	CCONJ
ajst-15578	95	65	when	when	SCONJ
ajst-15578	95	66	the	the	DET
ajst-15578	95	67	number	number	NOUN
ajst-15578	95	68	of	of	ADP
ajst-15578	95	69	implicit	implicit	ADJ
ajst-15578	95	70	layers	layer	NOUN
ajst-15578	95	71	reached	reach	VERB
ajst-15578	95	72	4	4	NUM
ajst-15578	95	73	layers	layer	NOUN
ajst-15578	95	74	and	and	CCONJ
ajst-15578	95	75	the	the	DET
ajst-15578	95	76	number	number	NOUN
ajst-15578	95	77	of	of	ADP
ajst-15578	95	78	nodes	node	NOUN
ajst-15578	95	79	was	be	AUX
ajst-15578	95	80	13	13	NUM
ajst-15578	95	81	,	,	PUNCT
ajst-15578	95	82	the	the	DET
ajst-15578	95	83	accuracy	accuracy	NOUN
ajst-15578	95	84	rate	rate	NOUN
ajst-15578	95	85	of	of	ADP
ajst-15578	95	86	the	the	DET
ajst-15578	95	87	model	model	NOUN
ajst-15578	95	88	was	be	AUX
ajst-15578	95	89	basically	basically	ADV
ajst-15578	95	90	the	the	DET
ajst-15578	95	91	same	same	ADJ
ajst-15578	95	92	as	as	ADP
ajst-15578	95	93	that	that	PRON
ajst-15578	95	94	when	when	SCONJ
ajst-15578	95	95	the	the	DET
ajst-15578	95	96	number	number	NOUN
ajst-15578	95	97	of	of	ADP
ajst-15578	95	98	implicit	implicit	ADJ
ajst-15578	95	99	layers	layer	NOUN
ajst-15578	95	100	was	be	AUX
ajst-15578	95	101	3	3	NUM
ajst-15578	95	102	layers	layer	NOUN
ajst-15578	95	103	and	and	CCONJ
ajst-15578	95	104	the	the	DET
ajst-15578	95	105	number	number	NOUN
ajst-15578	95	106	of	of	ADP
ajst-15578	95	107	nodes	node	NOUN
ajst-15578	95	108	was	be	AUX
ajst-15578	95	109	10	10	NUM
ajst-15578	95	110	,	,	PUNCT
ajst-15578	95	111	and	and	CCONJ
ajst-15578	95	112	the	the	DET
ajst-15578	95	113	number	number	NOUN
ajst-15578	95	114	of	of	ADP
ajst-15578	95	115	layers	layer	NOUN
ajst-15578	95	116	and	and	CCONJ
ajst-15578	95	117	nodes	node	NOUN
ajst-15578	95	118	of	of	ADP
ajst-15578	95	119	the	the	DET
ajst-15578	95	120	implicit	implicit	ADJ
ajst-15578	95	121	layers	layer	NOUN
ajst-15578	95	122	the	the	DET
ajst-15578	95	123	increase	increase	NOUN
ajst-15578	95	124	of	of	ADP
ajst-15578	95	125	the	the	DET
ajst-15578	95	126	number	number	NOUN
ajst-15578	95	127	of	of	ADP
ajst-15578	95	128	layers	layer	NOUN
ajst-15578	95	129	and	and	CCONJ
ajst-15578	95	130	nodes	node	NOUN
ajst-15578	95	131	of	of	ADP
ajst-15578	95	132	the	the	DET
ajst-15578	95	133	hidden	hide	VERB
ajst-15578	95	134	layer	layer	NOUN
ajst-15578	95	135	will	will	AUX
ajst-15578	95	136	increase	increase	VERB
ajst-15578	95	137	the	the	DET
ajst-15578	95	138	amount	amount	NOUN
ajst-15578	95	139	of	of	ADP
ajst-15578	95	140	operations	operation	NOUN
ajst-15578	95	141	of	of	ADP
ajst-15578	95	142	the	the	DET
ajst-15578	95	143	model	model	NOUN
ajst-15578	95	144	,	,	PUNCT
ajst-15578	95	145	and	and	CCONJ
ajst-15578	95	146	also	also	ADV
ajst-15578	95	147	prone	prone	ADJ
ajst-15578	95	148	to	to	ADP
ajst-15578	95	149	overfitting	overfitte	VERB
ajst-15578	95	150	phenomenon	phenomenon	NOUN
ajst-15578	95	151	,	,	PUNCT
ajst-15578	95	152	so	so	CCONJ
ajst-15578	95	153	the	the	DET
ajst-15578	95	154	overflow	overflow	ADJ
ajst-15578	95	155	intelligent	intelligent	ADJ
ajst-15578	95	156	recognition	recognition	NOUN
ajst-15578	95	157	classification	classification	NOUN
ajst-15578	95	158	layer	layer	NOUN
ajst-15578	95	159	neural	neural	ADJ
ajst-15578	95	160	network	network	NOUN
ajst-15578	95	161	model	model	NOUN
ajst-15578	95	162	with	with	ADP
ajst-15578	95	163	3	3	NUM
ajst-15578	95	164	layers	layer	NOUN
ajst-15578	95	165	of	of	ADP
ajst-15578	95	166	hidden	hide	VERB
ajst-15578	95	167	layer	layer	NOUN
ajst-15578	95	168	and	and	CCONJ
ajst-15578	95	169	10	10	NUM
ajst-15578	95	170	nodes	node	NOUN
ajst-15578	95	171	is	be	AUX
ajst-15578	95	172	constructed	construct	VERB
ajst-15578	95	173	as	as	SCONJ
ajst-15578	95	174	shown	show	VERB
ajst-15578	95	175	in	in	ADP
ajst-15578	95	176	fig	fig	NOUN
ajst-15578	95	177	.	.	PUNCT
ajst-15578	96	1	5	5	NUM
ajst-15578	96	2	.	.	NUM
ajst-15578	96	3	z7z6z5z4z3z2z1	z7z6z5z4z3z2z1	PROPN
ajst-15578	97	1	h1,10h1,2h1,1	h1,10h1,2h1,1	PROPN
ajst-15578	97	2	...	...	PUNCT
ajst-15578	97	3	h2,10	h2,10	PROPN
ajst-15578	97	4	h2,2h2,1	h2,2h2,1	NUM
ajst-15578	97	5	...	...	PUNCT
ajst-15578	97	6	h3,10	h3,10	NUM
ajst-15578	97	7	h3,2h3,1	h3,2h3,1	NUM
ajst-15578	97	8	...	...	PUNCT
ajst-15578	98	1	o	o	X
ajst-15578	98	2	early	early	ADJ
ajst-15578	98	3	 	 	SPACE
ajst-15578	98	4	intelligent	intelligent	ADJ
ajst-15578	98	5	  	  	SPACE
ajst-15578	98	6	identification	identification	NOUN
ajst-15578	98	7	 	 	SPACE
ajst-15578	98	8	of	of	ADP
ajst-15578	98	9	 	 	SPACE
ajst-15578	98	10	overflow	overflow	NOUN
ajst-15578	98	11	hidden	hide	VERB
ajst-15578	98	12	  	  	SPACE
ajst-15578	98	13	layer	layer	NOUN
ajst-15578	98	14	 	 	SPACE
ajst-15578	98	15	3	3	NUM
ajst-15578	98	16	hidden	hide	VERB
ajst-15578	98	17	  	  	SPACE
ajst-15578	98	18	layer	layer	NOUN
ajst-15578	98	19	 	 	SPACE
ajst-15578	98	20	2	2	NUM
ajst-15578	98	21	hidden	hide	VERB
ajst-15578	98	22	  	  	SPACE
ajst-15578	98	23	layer	layer	NOUN
ajst-15578	98	24	 	 	SPACE
ajst-15578	98	25	1	1	NUM
ajst-15578	98	26	figure	figure	NOUN
ajst-15578	98	27	5	5	NUM
ajst-15578	98	28	.	.	PUNCT
ajst-15578	98	29	neural	neural	ADJ
ajst-15578	98	30	network	network	NOUN
ajst-15578	98	31	model	model	NOUN
ajst-15578	98	32	of	of	ADP
ajst-15578	98	33	overflow	overflow	ADJ
ajst-15578	98	34	intelligent	intelligent	ADJ
ajst-15578	98	35	recognition	recognition	NOUN
ajst-15578	98	36	classification	classification	NOUN
ajst-15578	98	37	layer	layer	NOUN
ajst-15578	98	38	2.4	2.4	NUM
ajst-15578	98	39	.	.	PUNCT
ajst-15578	99	1	intelligent	intelligent	ADJ
ajst-15578	99	2	recognition	recognition	NOUN
ajst-15578	99	3	model	model	NOUN
ajst-15578	99	4	establishment	establishment	NOUN
ajst-15578	99	5	based	base	VERB
ajst-15578	99	6	on	on	ADP
ajst-15578	99	7	bilstm	bilstm	NOUN
ajst-15578	99	8	-	-	PUNCT
ajst-15578	99	9	bp	bp	PROPN
ajst-15578	99	10	overflow	overflow	NOUN
ajst-15578	99	11	the	the	DET
ajst-15578	99	12	proposed	propose	VERB
ajst-15578	99	13	bilstm	bilstm	NOUN
ajst-15578	99	14	-	-	PUNCT
ajst-15578	99	15	bp	bp	PROPN
ajst-15578	99	16	neural	neural	ADJ
ajst-15578	99	17	network	network	NOUN
ajst-15578	99	18	based	base	VERB
ajst-15578	99	19	early	early	ADJ
ajst-15578	99	20	overflow	overflow	ADJ
ajst-15578	99	21	intelligent	intelligent	ADJ
ajst-15578	99	22	identification	identification	NOUN
ajst-15578	99	23	model	model	NOUN
ajst-15578	99	24	is	be	AUX
ajst-15578	99	25	shown	show	VERB
ajst-15578	99	26	in	in	ADP
ajst-15578	99	27	fig	fig	NOUN
ajst-15578	99	28	.	.	PUNCT
ajst-15578	100	1	6	6	NUM
ajst-15578	100	2	.	.	PUNCT
ajst-15578	101	1	the	the	DET
ajst-15578	101	2	input	input	NOUN
ajst-15578	101	3	layer	layer	NOUN
ajst-15578	101	4	contains	contain	VERB
ajst-15578	101	5	seven	seven	NUM
ajst-15578	101	6	nodes	node	NOUN
ajst-15578	101	7	representing	represent	VERB
ajst-15578	101	8	standpipe	standpipe	NOUN
ajst-15578	101	9	pressure	pressure	NOUN
ajst-15578	101	10	,	,	PUNCT
ajst-15578	101	11	tank	tank	NOUN
ajst-15578	101	12	volume	volume	NOUN
ajst-15578	101	13	,	,	PUNCT
ajst-15578	101	14	gas	gas	NOUN
ajst-15578	101	15	,	,	PUNCT
ajst-15578	101	16	drilling	drilling	NOUN
ajst-15578	101	17	fluid	fluid	ADJ
ajst-15578	101	18	outlet	outlet	NOUN
ajst-15578	101	19	flow	flow	NOUN
ajst-15578	101	20	,	,	PUNCT
ajst-15578	101	21	downhole	downhole	NOUN
ajst-15578	101	22	annular	annular	ADJ
ajst-15578	101	23	pressure	pressure	NOUN
ajst-15578	101	24	,	,	PUNCT
ajst-15578	101	25	downhole	downhole	ADJ
ajst-15578	101	26	fluid	fluid	NOUN
ajst-15578	101	27	temperature	temperature	NOUN
ajst-15578	101	28	and	and	CCONJ
ajst-15578	101	29	downhole	downhole	NOUN
ajst-15578	101	30	fluid	fluid	NOUN
ajst-15578	101	31	resistivity	resistivity	NOUN
ajst-15578	101	32	;	;	PUNCT
ajst-15578	101	33	the	the	DET
ajst-15578	101	34	output	output	NOUN
ajst-15578	101	35	layer	layer	NOUN
ajst-15578	101	36	has	have	VERB
ajst-15578	101	37	only	only	ADV
ajst-15578	101	38	one	one	NUM
ajst-15578	101	39	node	node	NOUN
ajst-15578	101	40	representing	represent	VERB
ajst-15578	101	41	the	the	DET
ajst-15578	101	42	probability	probability	NOUN
ajst-15578	101	43	of	of	ADP
ajst-15578	101	44	overflow	overflow	ADJ
ajst-15578	101	45	occurrence	occurrence	NOUN
ajst-15578	101	46	.	.	PUNCT
ajst-15578	102	1	the	the	DET
ajst-15578	102	2	selected	select	VERB
ajst-15578	102	3	parameters	parameter	NOUN
ajst-15578	102	4	are	be	AUX
ajst-15578	102	5	input	input	VERB
ajst-15578	102	6	into	into	ADP
ajst-15578	102	7	the	the	DET
ajst-15578	102	8	bilstm	bilstm	NOUN
ajst-15578	102	9	model	model	NOUN
ajst-15578	102	10	in	in	ADP
ajst-15578	102	11	time	time	NOUN
ajst-15578	102	12	to	to	PART
ajst-15578	102	13	learn	learn	VERB
ajst-15578	102	14	the	the	DET
ajst-15578	102	15	change	change	NOUN
ajst-15578	102	16	law	law	NOUN
ajst-15578	102	17	of	of	ADP
ajst-15578	102	18	the	the	DET
ajst-15578	102	19	data	datum	NOUN
ajst-15578	102	20	before	before	ADV
ajst-15578	102	21	and	and	CCONJ
ajst-15578	102	22	after	after	ADP
ajst-15578	102	23	the	the	DET
ajst-15578	102	24	missing	miss	VERB
ajst-15578	102	25	values	value	NOUN
ajst-15578	102	26	in	in	ADP
ajst-15578	102	27	the	the	DET
ajst-15578	102	28	parameters	parameter	NOUN
ajst-15578	102	29	,	,	PUNCT
ajst-15578	102	30	and	and	CCONJ
ajst-15578	102	31	the	the	DET
ajst-15578	102	32	missing	miss	VERB
ajst-15578	102	33	values	value	NOUN
ajst-15578	102	34	in	in	ADP
ajst-15578	102	35	the	the	DET
ajst-15578	102	36	downhole	downhole	NOUN
ajst-15578	102	37	measurement	measurement	NOUN
ajst-15578	102	38	parameters	parameter	NOUN
ajst-15578	102	39	are	be	AUX
ajst-15578	102	40	repaired	repair	VERB
ajst-15578	102	41	by	by	ADP
ajst-15578	102	42	using	use	VERB
ajst-15578	102	43	prediction	prediction	NOUN
ajst-15578	102	44	,	,	PUNCT
ajst-15578	102	45	and	and	CCONJ
ajst-15578	102	46	finally	finally	ADV
ajst-15578	102	47	the	the	DET
ajst-15578	102	48	repaired	repair	VERB
ajst-15578	102	49	data	datum	NOUN
ajst-15578	102	50	are	be	AUX
ajst-15578	102	51	input	input	VERB
ajst-15578	102	52	into	into	ADP
ajst-15578	102	53	the	the	DET
ajst-15578	102	54	bp	bp	PROPN
ajst-15578	102	55	neural	neural	PROPN
ajst-15578	102	56	network	network	NOUN
ajst-15578	102	57	model	model	NOUN
ajst-15578	102	58	to	to	PART
ajst-15578	102	59	complete	complete	VERB
ajst-15578	102	60	the	the	DET
ajst-15578	102	61	early	early	ADJ
ajst-15578	102	62	intelligent	intelligent	ADJ
ajst-15578	102	63	102	102	NUM
ajst-15578	102	64	identification	identification	NOUN
ajst-15578	102	65	of	of	ADP
ajst-15578	102	66	overflow	overflow	NOUN
ajst-15578	102	67	.	.	PUNCT
ajst-15578	103	1	for	for	ADP
ajst-15578	103	2	the	the	DET
ajst-15578	103	3	output	output	NOUN
ajst-15578	103	4	of	of	ADP
ajst-15578	103	5	the	the	DET
ajst-15578	103	6	output	output	NOUN
ajst-15578	103	7	node	node	NOUN
ajst-15578	103	8	,	,	PUNCT
ajst-15578	103	9	probabilities	probability	NOUN
ajst-15578	103	10	are	be	AUX
ajst-15578	103	11	used	use	VERB
ajst-15578	103	12	to	to	PART
ajst-15578	103	13	determine	determine	VERB
ajst-15578	103	14	the	the	DET
ajst-15578	103	15	magnitude	magnitude	NOUN
ajst-15578	103	16	of	of	ADP
ajst-15578	103	17	the	the	DET
ajst-15578	103	18	risk	risk	NOUN
ajst-15578	103	19	of	of	ADP
ajst-15578	103	20	an	an	DET
ajst-15578	103	21	overflow	overflow	NOUN
ajst-15578	103	22	occurring	occur	VERB
ajst-15578	103	23	downhole	downhole	NOUN
ajst-15578	103	24	.	.	PUNCT
ajst-15578	104	1	the	the	PRON
ajst-15578	104	2	higher	high	ADJ
ajst-15578	104	3	the	the	DET
ajst-15578	104	4	output	output	NOUN
ajst-15578	104	5	value	value	NOUN
ajst-15578	104	6	,	,	PUNCT
ajst-15578	104	7	the	the	PRON
ajst-15578	104	8	higher	high	ADJ
ajst-15578	104	9	the	the	DET
ajst-15578	104	10	risk	risk	NOUN
ajst-15578	104	11	of	of	ADP
ajst-15578	104	12	overflow	overflow	NOUN
ajst-15578	104	13	occurring	occurring	NOUN
ajst-15578	104	14	,	,	PUNCT
ajst-15578	104	15	and	and	CCONJ
ajst-15578	104	16	triggers	trigger	VERB
ajst-15578	104	17	an	an	DET
ajst-15578	104	18	alarm	alarm	NOUN
ajst-15578	104	19	alert	alert	NOUN
ajst-15578	104	20	when	when	SCONJ
ajst-15578	104	21	the	the	DET
ajst-15578	104	22	upper	upper	ADJ
ajst-15578	104	23	warning	warning	NOUN
ajst-15578	104	24	value	value	NOUN
ajst-15578	104	25	is	be	AUX
ajst-15578	104	26	exceeded	exceed	VERB
ajst-15578	104	27	.	.	PUNCT
ajst-15578	105	1	the	the	DET
ajst-15578	105	2	 	 	SPACE
ajst-15578	105	3	data	datum	NOUN
ajst-15578	105	4	 	 	SPACE
ajst-15578	105	5	of	of	ADP
ajst-15578	105	6	  	  	SPACE
ajst-15578	105	7	comprehensive	comprehensive	ADJ
ajst-15578	105	8	 	 	SPACE
ajst-15578	105	9	logging	log	VERB
ajst-15578	105	10	  	  	SPACE
ajst-15578	105	11	unit	unit	NOUN
ajst-15578	105	12	the	the	DET
ajst-15578	105	13	 	 	SPACE
ajst-15578	105	14	data	datum	NOUN
ajst-15578	105	15	 	 	SPACE
ajst-15578	105	16	of	of	ADP
ajst-15578	105	17	 	 	SPACE
ajst-15578	105	18	pwd	pwd	VERB
ajst-15578	105	19	the	the	DET
ajst-15578	105	20	 	 	SPACE
ajst-15578	105	21	data	datum	NOUN
ajst-15578	105	22	 	 	SPACE
ajst-15578	105	23	of	of	ADP
ajst-15578	105	24	  	  	SPACE
ajst-15578	105	25	high‐precision	high‐precision	NOUN
ajst-15578	105	26	  	  	SPACE
ajst-15578	105	27	flowmeter	flowmeter	NOUN
ajst-15578	105	28	 	 	SPACE
ajst-15578	105	29	at	at	ADP
ajst-15578	105	30	 	 	SPACE
ajst-15578	105	31	the	the	DET
ajst-15578	105	32	 	 	SPACE
ajst-15578	105	33	wellhead	wellhead	NOUN
ajst-15578	105	34	parameter	parameter	NOUN
ajst-15578	105	35	 	 	SPACE
ajst-15578	105	36	preferences	preference	NOUN
ajst-15578	105	37	lstm	lstm	VERB
ajst-15578	105	38	lstm	lstm	ADJ
ajst-15578	105	39	lstm	lstm	ADJ
ajst-15578	105	40	lstm	lstm	ADJ
ajst-15578	105	41	lstm	lstm	ADJ
ajst-15578	105	42	lstm	lstm	ADJ
ajst-15578	105	43	lstm	lstm	ADJ
ajst-15578	105	44	lstm	lstm	ADJ
ajst-15578	105	45	lstm	lstm	ADJ
ajst-15578	105	46	lstm	lstm	ADJ
ajst-15578	105	47	lstm	lstm	ADJ
ajst-15578	105	48	lstm	lstm	PROPN
ajst-15578	105	49	lstm	lstm	PROPN
ajst-15578	105	50	lstm	lstm	NOUN
ajst-15578	105	51	y1	y1	NOUN
ajst-15578	105	52	y2	y2	PROPN
ajst-15578	105	53	y3	y3	PROPN
ajst-15578	105	54	y4	y4	NOUN
ajst-15578	105	55	y5	y5	NOUN
ajst-15578	105	56	y6	y6	ADJ
ajst-15578	105	57	y7	y7	PROPN
ajst-15578	105	58	x7x6x5x4x3x2x1	x7x6x5x4x3x2x1	ADP
ajst-15578	105	59	z‐score	z‐score	NOUN
ajst-15578	105	60	 	 	SPACE
ajst-15578	105	61	normalization	normalization	NOUN
ajst-15578	105	62	z7z6z5z4z3z2z1	z7z6z5z4z3z2z1	NUM
ajst-15578	105	63	...	...	PUNCT
ajst-15578	105	64	...	...	PUNCT
ajst-15578	105	65	...	...	PUNCT
ajst-15578	106	1	o	o	X
ajst-15578	106	2	early	early	ADJ
ajst-15578	106	3	 	 	SPACE
ajst-15578	106	4	intelligent	intelligent	ADJ
ajst-15578	106	5	 	 	SPACE
ajst-15578	106	6	identification	identification	NOUN
ajst-15578	106	7	  	  	SPACE
ajst-15578	106	8	of	of	ADP
ajst-15578	106	9	 	 	SPACE
ajst-15578	106	10	overflow	overflow	NOUN
ajst-15578	106	11	figure	figure	NOUN
ajst-15578	106	12	6	6	NUM
ajst-15578	106	13	.	.	PUNCT
ajst-15578	107	1	early	early	ADJ
ajst-15578	107	2	overflow	overflow	ADJ
ajst-15578	107	3	intelligent	intelligent	ADJ
ajst-15578	107	4	recognition	recognition	NOUN
ajst-15578	107	5	model	model	NOUN
ajst-15578	107	6	3	3	NUM
ajst-15578	107	7	.	.	NOUN
ajst-15578	107	8	case	case	NOUN
ajst-15578	107	9	studies	study	NOUN
ajst-15578	107	10	and	and	CCONJ
ajst-15578	107	11	field	field	NOUN
ajst-15578	107	12	applications	application	NOUN
ajst-15578	107	13	in	in	ADP
ajst-15578	107	14	order	order	NOUN
ajst-15578	107	15	to	to	PART
ajst-15578	107	16	verify	verify	VERB
ajst-15578	107	17	the	the	DET
ajst-15578	107	18	effectiveness	effectiveness	NOUN
ajst-15578	107	19	of	of	ADP
ajst-15578	107	20	the	the	DET
ajst-15578	107	21	proposed	propose	VERB
ajst-15578	107	22	method	method	NOUN
ajst-15578	107	23	,	,	PUNCT
ajst-15578	107	24	monitoring	monitor	VERB
ajst-15578	107	25	data	datum	NOUN
ajst-15578	107	26	from	from	ADP
ajst-15578	107	27	a	a	DET
ajst-15578	107	28	test	test	NOUN
ajst-15578	107	29	well	well	INTJ
ajst-15578	107	30	were	be	AUX
ajst-15578	107	31	used	use	VERB
ajst-15578	107	32	for	for	ADP
ajst-15578	107	33	its	its	PRON
ajst-15578	107	34	experimental	experimental	ADJ
ajst-15578	107	35	validation	validation	NOUN
ajst-15578	107	36	.	.	PUNCT
ajst-15578	108	1	the	the	DET
ajst-15578	108	2	total	total	ADJ
ajst-15578	108	3	sampling	sampling	NOUN
ajst-15578	108	4	time	time	NOUN
ajst-15578	108	5	of	of	ADP
ajst-15578	108	6	the	the	DET
ajst-15578	108	7	selected	select	VERB
ajst-15578	108	8	monitoring	monitoring	NOUN
ajst-15578	108	9	parameters	parameter	NOUN
ajst-15578	108	10	was	be	AUX
ajst-15578	108	11	about	about	ADV
ajst-15578	108	12	one	one	NUM
ajst-15578	108	13	year	year	NOUN
ajst-15578	108	14	.	.	PUNCT
ajst-15578	109	1	among	among	ADP
ajst-15578	109	2	them	they	PRON
ajst-15578	109	3	,	,	PUNCT
ajst-15578	109	4	55,000	55,000	NUM
ajst-15578	109	5	complete	complete	ADJ
ajst-15578	109	6	data	datum	NOUN
ajst-15578	109	7	were	be	AUX
ajst-15578	109	8	screened	screen	VERB
ajst-15578	109	9	for	for	ADP
ajst-15578	109	10	model	model	NOUN
ajst-15578	109	11	training	training	NOUN
ajst-15578	109	12	and	and	CCONJ
ajst-15578	109	13	validation	validation	NOUN
ajst-15578	109	14	.	.	PUNCT
ajst-15578	110	1	due	due	ADP
ajst-15578	110	2	to	to	ADP
ajst-15578	110	3	the	the	DET
ajst-15578	110	4	large	large	ADJ
ajst-15578	110	5	amount	amount	NOUN
ajst-15578	110	6	of	of	ADP
ajst-15578	110	7	data	datum	NOUN
ajst-15578	110	8	recorded	record	VERB
ajst-15578	110	9	,	,	PUNCT
ajst-15578	110	10	only	only	ADV
ajst-15578	110	11	a	a	DET
ajst-15578	110	12	few	few	ADJ
ajst-15578	110	13	sample	sample	NOUN
ajst-15578	110	14	data	data	NOUN
ajst-15578	110	15	sets	set	NOUN
ajst-15578	110	16	were	be	AUX
ajst-15578	110	17	selected	select	VERB
ajst-15578	110	18	here	here	ADV
ajst-15578	110	19	,	,	PUNCT
ajst-15578	110	20	as	as	SCONJ
ajst-15578	110	21	shown	show	VERB
ajst-15578	110	22	in	in	ADP
ajst-15578	110	23	table	table	NOUN
ajst-15578	110	24	1	1	NUM
ajst-15578	110	25	.	.	PUNCT
ajst-15578	110	26	table	table	NOUN
ajst-15578	110	27	1	1	NUM
ajst-15578	110	28	.	.	PUNCT
ajst-15578	110	29	sample	sample	NOUN
ajst-15578	110	30	model	model	NOUN
ajst-15578	110	31	input	input	NOUN
ajst-15578	110	32	parameters	parameter	NOUN
ajst-15578	110	33	serial	serial	ADJ
ajst-15578	110	34	number	number	NOUN
ajst-15578	110	35	well	well	NOUN
ajst-15578	110	36	depth	depth	NOUN
ajst-15578	110	37	(	(	PUNCT
ajst-15578	110	38	m	m	NOUN
ajst-15578	110	39	)	)	PUNCT
ajst-15578	110	40	stand	stand	VERB
ajst-15578	110	41	pipe	pipe	NOUN
ajst-15578	110	42	pressure	pressure	NOUN
ajst-15578	110	43	(	(	PUNCT
ajst-15578	110	44	mpa	mpa	NOUN
ajst-15578	110	45	)	)	PUNCT
ajst-15578	110	46	tank	tank	NOUN
ajst-15578	110	47	volume	volume	NOUN
ajst-15578	110	48	change	change	NOUN
ajst-15578	110	49	(	(	PUNCT
ajst-15578	110	50	m³	m³	ADJ
ajst-15578	110	51	)	)	PUNCT
ajst-15578	110	52	gas	gas	NOUN
ajst-15578	110	53	(	(	PUNCT
ajst-15578	110	54	ppm	ppm	NOUN
ajst-15578	110	55	)	)	PUNCT
ajst-15578	110	56	outlet	outlet	NOUN
ajst-15578	110	57	flow	flow	NOUN
ajst-15578	110	58	(	(	PUNCT
ajst-15578	110	59	l	l	NOUN
ajst-15578	110	60	/	/	SYM
ajst-15578	110	61	min	min	NOUN
ajst-15578	110	62	)	)	PUNCT
ajst-15578	110	63	downhole	downhole	ADJ
ajst-15578	110	64	annulus	annulus	NOUN
ajst-15578	110	65	pressure	pressure	NOUN
ajst-15578	110	66	(	(	PUNCT
ajst-15578	110	67	mpa	mpa	NOUN
ajst-15578	110	68	)	)	PUNCT
ajst-15578	110	69	downhole	downhole	NOUN
ajst-15578	110	70	fluid	fluid	NOUN
ajst-15578	110	71	temperature	temperature	NOUN
ajst-15578	110	72	(	(	PUNCT
ajst-15578	110	73	℃	℃	NOUN
ajst-15578	110	74	)	)	PUNCT
ajst-15578	110	75	downhole	downhole	ADJ
ajst-15578	110	76	fluid	fluid	NOUN
ajst-15578	110	77	resistivity	resistivity	NOUN
ajst-15578	110	78	(	(	PUNCT
ajst-15578	110	79	ω·m	ω·m	ADJ
ajst-15578	110	80	)	)	PUNCT
ajst-15578	111	1	1	1	NUM
ajst-15578	111	2	2973.9	2973.9	NUM
ajst-15578	111	3	11.39	11.39	NUM
ajst-15578	111	4	67.03	67.03	NUM
ajst-15578	111	5	6682	6682	NUM
ajst-15578	111	6	3280.03	3280.03	NUM
ajst-15578	111	7	37.122	37.122	NUM
ajst-15578	111	8	58	58	NUM
ajst-15578	111	9	1.753	1.753	NUM
ajst-15578	111	10	2	2	NUM
ajst-15578	111	11	3444.6	3444.6	NUM
ajst-15578	111	12	11.12	11.12	NUM
ajst-15578	111	13	57.82	57.82	NUM
ajst-15578	111	14	2201	2201	NUM
ajst-15578	111	15	3567.69	3567.69	NUM
ajst-15578	111	16	37.276	37.276	NUM
ajst-15578	111	17	79	79	NUM
ajst-15578	111	18	6.372	6.372	NUM
ajst-15578	111	19	3	3	NUM
ajst-15578	111	20	3383	3383	NUM
ajst-15578	111	21	14.66	14.66	NUM
ajst-15578	111	22	57.96	57.96	NUM
ajst-15578	111	23	3795	3795	NUM
ajst-15578	111	24	3570.75	3570.75	NUM
ajst-15578	111	25	37.172	37.172	NUM
ajst-15578	111	26	76	76	NUM
ajst-15578	111	27	5.87	5.87	NUM
ajst-15578	111	28	4	4	NUM
ajst-15578	111	29	3051	3051	NUM
ajst-15578	111	30	14.14	14.14	NUM
ajst-15578	111	31	58.03	58.03	NUM
ajst-15578	111	32	874	874	NUM
ajst-15578	111	33	3565.77	3565.77	NUM
ajst-15578	111	34	33.24	33.24	NUM
ajst-15578	111	35	77	77	NUM
ajst-15578	111	36	1.201	1.201	NUM
ajst-15578	111	37	5	5	NUM
ajst-15578	111	38	3103.8	3103.8	NUM
ajst-15578	111	39	6.49	6.49	NUM
ajst-15578	111	40	59.25	59.25	NUM
ajst-15578	111	41	703	703	NUM
ajst-15578	111	42	2777.35	2777.35	NUM
ajst-15578	111	43	31.04	31.04	NUM
ajst-15578	111	44	76	76	NUM
ajst-15578	111	45	2.514	2.514	NUM
ajst-15578	111	46	6	6	NUM
ajst-15578	111	47	2250.7	2250.7	NUM
ajst-15578	111	48	10.78	10.78	NUM
ajst-15578	111	49	63.95	63.95	NUM
ajst-15578	111	50	1438	1438	NUM
ajst-15578	111	51	3351.64	3351.64	NUM
ajst-15578	111	52	24.392	24.392	NUM
ajst-15578	111	53	50	50	NUM
ajst-15578	111	54	3.71	3.71	NUM
ajst-15578	111	55	7	7	NUM
ajst-15578	111	56	3183.7	3183.7	NUM
ajst-15578	111	57	20.57	20.57	NUM
ajst-15578	111	58	80.42	80.42	NUM
ajst-15578	111	59	1807	1807	NUM
ajst-15578	111	60	3670	3670	NUM
ajst-15578	111	61	30.78	30.78	NUM
ajst-15578	111	62	76	76	NUM
ajst-15578	111	63	1.944	1.944	NUM
ajst-15578	111	64	8	8	NUM
ajst-15578	111	65	3355.3	3355.3	NUM
ajst-15578	111	66	14.93	14.93	NUM
ajst-15578	111	67	56.2	56.2	NUM
ajst-15578	111	68	4357	4357	NUM
ajst-15578	111	69	3515.91	3515.91	NUM
ajst-15578	111	70	39.62	39.62	NUM
ajst-15578	111	71	80	80	NUM
ajst-15578	111	72	6.609	6.609	NUM
ajst-15578	111	73	9	9	NUM
ajst-15578	111	74	3310.1	3310.1	NUM
ajst-15578	111	75	14.75	14.75	NUM
ajst-15578	111	76	56.16	56.16	NUM
ajst-15578	111	77	4245	4245	NUM
ajst-15578	111	78	3565.22	3565.22	NUM
ajst-15578	111	79	35.96	35.96	NUM
ajst-15578	111	80	79	79	NUM
ajst-15578	111	81	9.918	9.918	NUM
ajst-15578	111	82	3.1	3.1	NUM
ajst-15578	111	83	.	.	PUNCT
ajst-15578	111	84	downhole	downhole	NOUN
ajst-15578	111	85	missing	miss	VERB
ajst-15578	111	86	data	datum	NOUN
ajst-15578	111	87	prediction	prediction	NOUN
ajst-15578	111	88	analysis	analysis	NOUN
ajst-15578	111	89	to	to	PART
ajst-15578	111	90	verify	verify	VERB
ajst-15578	111	91	the	the	DET
ajst-15578	111	92	effectiveness	effectiveness	NOUN
ajst-15578	111	93	of	of	ADP
ajst-15578	111	94	the	the	DET
ajst-15578	111	95	proposed	propose	VERB
ajst-15578	111	96	model	model	NOUN
ajst-15578	111	97	in	in	ADP
ajst-15578	111	98	predicting	predict	VERB
ajst-15578	111	99	the	the	DET
ajst-15578	111	100	restoration	restoration	NOUN
ajst-15578	111	101	of	of	ADP
ajst-15578	111	102	downhole	downhole	NOUN
ajst-15578	111	103	missing	miss	VERB
ajst-15578	111	104	data	datum	NOUN
ajst-15578	111	105	,	,	PUNCT
ajst-15578	111	106	a	a	DET
ajst-15578	111	107	training	training	NOUN
ajst-15578	111	108	model	model	NOUN
ajst-15578	111	109	sample	sample	NOUN
ajst-15578	111	110	size	size	NOUN
ajst-15578	111	111	of	of	ADP
ajst-15578	111	112	55000	55000	NUM
ajst-15578	111	113	12	12	NUM
ajst-15578	111	114	and	and	CCONJ
ajst-15578	111	115	a	a	DET
ajst-15578	111	116	test	test	NOUN
ajst-15578	111	117	sample	sample	NOUN
ajst-15578	111	118	of	of	ADP
ajst-15578	111	119	5000	5000	NUM
ajst-15578	111	120	12	12	NUM
ajst-15578	111	121	were	be	AUX
ajst-15578	111	122	used	use	VERB
ajst-15578	111	123	.	.	PUNCT
ajst-15578	112	1	the	the	DET
ajst-15578	112	2	selected	select	VERB
ajst-15578	112	3	monitoring	monitoring	NOUN
ajst-15578	112	4	parameters	parameter	NOUN
ajst-15578	112	5	were	be	AUX
ajst-15578	112	6	all	all	PRON
ajst-15578	112	7	complete	complete	ADJ
ajst-15578	112	8	data	datum	NOUN
ajst-15578	112	9	,	,	PUNCT
ajst-15578	112	10	and	and	CCONJ
ajst-15578	112	11	the	the	DET
ajst-15578	112	12	test	test	NOUN
ajst-15578	112	13	data	datum	NOUN
ajst-15578	112	14	were	be	AUX
ajst-15578	112	15	assumed	assume	VERB
ajst-15578	112	16	to	to	PART
ajst-15578	112	17	be	be	AUX
ajst-15578	112	18	partially	partially	ADV
ajst-15578	112	19	missing	missing	ADJ
ajst-15578	112	20	during	during	ADP
ajst-15578	112	21	testing	testing	NOUN
ajst-15578	112	22	,	,	PUNCT
ajst-15578	112	23	and	and	CCONJ
ajst-15578	112	24	the	the	DET
ajst-15578	112	25	quantitative	quantitative	ADJ
ajst-15578	112	26	evaluation	evaluation	NOUN
ajst-15578	112	27	was	be	AUX
ajst-15578	112	28	performed	perform	VERB
ajst-15578	112	29	by	by	ADP
ajst-15578	112	30	the	the	DET
ajst-15578	112	31	standardized	standardized	ADJ
ajst-15578	112	32	root	root	NOUN
ajst-15578	112	33	mean	mean	ADJ
ajst-15578	112	34	square	square	ADJ
ajst-15578	112	35	error	error	NOUN
ajst-15578	112	36	nrmse	nrmse	NOUN
ajst-15578	112	37	of	of	ADP
ajst-15578	112	38	the	the	DET
ajst-15578	112	39	true	true	ADJ
ajst-15578	112	40	and	and	CCONJ
ajst-15578	112	41	predicted	predict	VERB
ajst-15578	112	42	restoration	restoration	NOUN
ajst-15578	112	43	values	value	NOUN
ajst-15578	112	44	.	.	PUNCT
ajst-15578	113	1	taking	take	VERB
ajst-15578	113	2	downhole	downhole	NOUN
ajst-15578	113	3	drilling	drilling	NOUN
ajst-15578	113	4	fluid	fluid	NOUN
ajst-15578	113	5	resistivity	resistivity	NOUN
ajst-15578	113	6	as	as	ADP
ajst-15578	113	7	an	an	DET
ajst-15578	113	8	example	example	NOUN
ajst-15578	113	9	,	,	PUNCT
ajst-15578	113	10	the	the	DET
ajst-15578	113	11	model	model	NOUN
ajst-15578	113	12	inputs	input	NOUN
ajst-15578	113	13	are	be	AUX
ajst-15578	113	14	standpipe	standpipe	NOUN
ajst-15578	113	15	pressure	pressure	NOUN
ajst-15578	113	16	,	,	PUNCT
ajst-15578	113	17	tank	tank	NOUN
ajst-15578	113	18	volume	volume	NOUN
ajst-15578	113	19	,	,	PUNCT
ajst-15578	113	20	full	full	ADJ
ajst-15578	113	21	hydrocarbon	hydrocarbon	NOUN
ajst-15578	113	22	,	,	PUNCT
ajst-15578	113	23	downhole	downhole	ADJ
ajst-15578	113	24	annulus	annulus	ADJ
ajst-15578	113	25	fluid	fluid	NOUN
ajst-15578	113	26	temperature	temperature	NOUN
ajst-15578	113	27	and	and	CCONJ
ajst-15578	113	28	downhole	downhole	ADJ
ajst-15578	113	29	annulus	annulus	NOUN
ajst-15578	113	30	pressure	pressure	NOUN
ajst-15578	113	31	,	,	PUNCT
ajst-15578	113	32	and	and	CCONJ
ajst-15578	113	33	the	the	DET
ajst-15578	113	34	model	model	NOUN
ajst-15578	113	35	output	output	NOUN
ajst-15578	113	36	is	be	AUX
ajst-15578	113	37	downhole	downhole	ADJ
ajst-15578	113	38	drilling	drilling	NOUN
ajst-15578	113	39	fluid	fluid	NOUN
ajst-15578	113	40	resistivity	resistivity	NOUN
ajst-15578	113	41	.	.	PUNCT
ajst-15578	114	1	the	the	DET
ajst-15578	114	2	bilstm	bilstm	NOUN
ajst-15578	114	3	model	model	NOUN
ajst-15578	114	4	is	be	AUX
ajst-15578	114	5	set	set	VERB
ajst-15578	114	6	with	with	ADP
ajst-15578	114	7	epochs	epoch	NOUN
ajst-15578	114	8	of	of	ADP
ajst-15578	114	9	300	300	NUM
ajst-15578	114	10	,	,	PUNCT
ajst-15578	114	11	time	time	NOUN
ajst-15578	114	12	steps	step	NOUN
ajst-15578	114	13	of	of	ADP
ajst-15578	114	14	20	20	NUM
ajst-15578	114	15	,	,	PUNCT
ajst-15578	114	16	batch	batch	NOUN
ajst-15578	114	17	size	size	NOUN
ajst-15578	114	18	of	of	ADP
ajst-15578	114	19	64	64	NUM
ajst-15578	114	20	,	,	PUNCT
ajst-15578	114	21	and	and	CCONJ
ajst-15578	114	22	lstm	lstm	ADJ
ajst-15578	114	23	cells	cell	NOUN
ajst-15578	114	24	of	of	ADP
ajst-15578	114	25	7	7	NUM
ajst-15578	114	26	.	.	PUNCT
ajst-15578	115	1	all	all	DET
ajst-15578	115	2	the	the	DET
ajst-15578	115	3	training	training	NOUN
ajst-15578	115	4	data	data	NOUN
ajst-15578	115	5	samples	sample	NOUN
ajst-15578	115	6	are	be	AUX
ajst-15578	115	7	input	input	VERB
ajst-15578	115	8	into	into	ADP
ajst-15578	115	9	the	the	DET
ajst-15578	115	10	model	model	NOUN
ajst-15578	115	11	first	first	ADV
ajst-15578	115	12	,	,	PUNCT
ajst-15578	115	13	and	and	CCONJ
ajst-15578	115	14	the	the	DET
ajst-15578	115	15	test	test	NOUN
ajst-15578	115	16	data	datum	NOUN
ajst-15578	115	17	are	be	AUX
ajst-15578	115	18	input	input	ADJ
ajst-15578	115	19	after	after	SCONJ
ajst-15578	115	20	the	the	DET
ajst-15578	115	21	training	training	NOUN
ajst-15578	115	22	is	be	AUX
ajst-15578	115	23	completed	complete	VERB
ajst-15578	115	24	,	,	PUNCT
ajst-15578	115	25	and	and	CCONJ
ajst-15578	115	26	the	the	DET
ajst-15578	115	27	nrmse	nrmse	ADJ
ajst-15578	115	28	value	value	NOUN
ajst-15578	115	29	of	of	ADP
ajst-15578	115	30	the	the	DET
ajst-15578	115	31	test	test	NOUN
ajst-15578	115	32	data	data	NOUN
ajst-15578	115	33	is	be	AUX
ajst-15578	115	34	21.306	21.306	NUM
ajst-15578	115	35	10	10	NUM
ajst-15578	115	36	.	.	PUNCT
ajst-15578	116	1	the	the	DET
ajst-15578	116	2	prediction	prediction	NOUN
ajst-15578	116	3	results	result	NOUN
ajst-15578	116	4	of	of	ADP
ajst-15578	116	5	the	the	DET
ajst-15578	116	6	missing	miss	VERB
ajst-15578	116	7	values	value	NOUN
ajst-15578	116	8	of	of	ADP
ajst-15578	116	9	200	200	NUM
ajst-15578	116	10	groups	group	NOUN
ajst-15578	116	11	of	of	ADP
ajst-15578	116	12	model	model	NOUN
ajst-15578	116	13	outputs	output	NOUN
ajst-15578	116	14	are	be	AUX
ajst-15578	116	15	103	103	NUM
ajst-15578	116	16	randomly	randomly	ADV
ajst-15578	116	17	selected	select	VERB
ajst-15578	116	18	in	in	ADP
ajst-15578	116	19	the	the	DET
ajst-15578	116	20	test	test	NOUN
ajst-15578	116	21	set	set	VERB
ajst-15578	116	22	and	and	CCONJ
ajst-15578	116	23	compared	compare	VERB
ajst-15578	116	24	with	with	ADP
ajst-15578	116	25	the	the	DET
ajst-15578	116	26	real	real	ADJ
ajst-15578	116	27	values	value	NOUN
ajst-15578	116	28	.	.	PUNCT
ajst-15578	117	1	the	the	DET
ajst-15578	117	2	results	result	NOUN
ajst-15578	117	3	are	be	AUX
ajst-15578	117	4	shown	show	VERB
ajst-15578	117	5	in	in	ADP
ajst-15578	117	6	fig	fig	NOUN
ajst-15578	117	7	.	.	PUNCT
ajst-15578	118	1	7~10	7~10	NUM
ajst-15578	118	2	below	below	ADV
ajst-15578	118	3	.	.	PUNCT
ajst-15578	119	1	the	the	DET
ajst-15578	119	2	two	two	NUM
ajst-15578	119	3	curves	curve	NOUN
ajst-15578	119	4	represented	represent	VERB
ajst-15578	119	5	by	by	ADP
ajst-15578	119	6	red	red	NOUN
ajst-15578	119	7	in	in	ADP
ajst-15578	119	8	them	they	PRON
ajst-15578	119	9	fit	fit	ADJ
ajst-15578	119	10	well	well	ADV
ajst-15578	119	11	with	with	ADP
ajst-15578	119	12	the	the	DET
ajst-15578	119	13	true	true	ADJ
ajst-15578	119	14	value	value	NOUN
ajst-15578	119	15	represented	represent	VERB
ajst-15578	119	16	by	by	ADP
ajst-15578	119	17	blue	blue	ADJ
ajst-15578	119	18	,	,	PUNCT
ajst-15578	119	19	and	and	CCONJ
ajst-15578	119	20	the	the	DET
ajst-15578	119	21	model	model	NOUN
ajst-15578	119	22	outputs	output	VERB
ajst-15578	119	23	a	a	DET
ajst-15578	119	24	small	small	ADJ
ajst-15578	119	25	error	error	NOUN
ajst-15578	119	26	between	between	ADP
ajst-15578	119	27	the	the	DET
ajst-15578	119	28	predicted	predict	VERB
ajst-15578	119	29	and	and	CCONJ
ajst-15578	119	30	true	true	ADJ
ajst-15578	119	31	values	value	NOUN
ajst-15578	119	32	of	of	ADP
ajst-15578	119	33	the	the	DET
ajst-15578	119	34	missing	miss	VERB
ajst-15578	119	35	data	datum	NOUN
ajst-15578	119	36	,	,	PUNCT
ajst-15578	119	37	so	so	SCONJ
ajst-15578	119	38	the	the	DET
ajst-15578	119	39	model	model	NOUN
ajst-15578	119	40	can	can	AUX
ajst-15578	119	41	be	be	AUX
ajst-15578	119	42	used	use	VERB
ajst-15578	119	43	to	to	PART
ajst-15578	119	44	fill	fill	VERB
ajst-15578	119	45	in	in	ADP
ajst-15578	119	46	the	the	DET
ajst-15578	119	47	predictions	prediction	NOUN
ajst-15578	119	48	of	of	ADP
ajst-15578	119	49	the	the	DET
ajst-15578	119	50	downhole	downhole	NOUN
ajst-15578	119	51	missing	miss	VERB
ajst-15578	119	52	data	datum	NOUN
ajst-15578	119	53	and	and	CCONJ
ajst-15578	119	54	provide	provide	VERB
ajst-15578	119	55	reliable	reliable	ADJ
ajst-15578	119	56	and	and	CCONJ
ajst-15578	119	57	complete	complete	ADJ
ajst-15578	119	58	data	datum	NOUN
ajst-15578	119	59	for	for	ADP
ajst-15578	119	60	the	the	DET
ajst-15578	119	61	subsequent	subsequent	ADJ
ajst-15578	119	62	intelligent	intelligent	ADJ
ajst-15578	119	63	identification	identification	NOUN
ajst-15578	119	64	of	of	ADP
ajst-15578	119	65	the	the	DET
ajst-15578	119	66	overflow	overflow	NOUN
ajst-15578	119	67	.	.	PUNCT
ajst-15578	120	1	figure	figure	NOUN
ajst-15578	120	2	7	7	NUM
ajst-15578	120	3	.	.	PUNCT
ajst-15578	120	4	downhole	downhole	ADJ
ajst-15578	120	5	annular	annular	ADJ
ajst-15578	120	6	pressure	pressure	NOUN
ajst-15578	120	7	prediction	prediction	NOUN
ajst-15578	120	8	chart	chart	NOUN
ajst-15578	120	9	figure	figure	NOUN
ajst-15578	120	10	8	8	NUM
ajst-15578	120	11	.	.	PUNCT
ajst-15578	120	12	downhole	downhole	ADJ
ajst-15578	120	13	fluid	fluid	ADJ
ajst-15578	120	14	temperature	temperature	NOUN
ajst-15578	120	15	prediction	prediction	NOUN
ajst-15578	120	16	chart	chart	NOUN
ajst-15578	120	17	figure	figure	NOUN
ajst-15578	120	18	9	9	NUM
ajst-15578	120	19	.	.	PUNCT
ajst-15578	120	20	downhole	downhole	ADJ
ajst-15578	120	21	fluid	fluid	NOUN
ajst-15578	120	22	resistivity	resistivity	NOUN
ajst-15578	120	23	prediction	prediction	NOUN
ajst-15578	120	24	chart	chart	NOUN
ajst-15578	120	25	figure	figure	NOUN
ajst-15578	120	26	10	10	NUM
ajst-15578	120	27	.	.	PUNCT
ajst-15578	120	28	downhole	downhole	ADJ
ajst-15578	120	29	fluid	fluid	NOUN
ajst-15578	120	30	resistivity	resistivity	NOUN
ajst-15578	120	31	prediction	prediction	NOUN
ajst-15578	120	32	chart	chart	NOUN
ajst-15578	120	33	3.2	3.2	NUM
ajst-15578	120	34	.	.	PUNCT
ajst-15578	121	1	test	test	NOUN
ajst-15578	121	2	set	set	VERB
ajst-15578	121	3	data	datum	NOUN
ajst-15578	121	4	validation	validation	NOUN
ajst-15578	121	5	in	in	ADP
ajst-15578	121	6	order	order	NOUN
ajst-15578	121	7	to	to	PART
ajst-15578	121	8	verify	verify	VERB
ajst-15578	121	9	the	the	DET
ajst-15578	121	10	early	early	ADJ
ajst-15578	121	11	warning	warning	NOUN
ajst-15578	121	12	capability	capability	NOUN
ajst-15578	121	13	of	of	ADP
ajst-15578	121	14	the	the	DET
ajst-15578	121	15	early	early	ADJ
ajst-15578	121	16	overflow	overflow	ADJ
ajst-15578	121	17	intelligent	intelligent	ADJ
ajst-15578	121	18	recognition	recognition	NOUN
ajst-15578	121	19	model	model	NOUN
ajst-15578	121	20	,	,	PUNCT
ajst-15578	121	21	5000	5000	NUM
ajst-15578	121	22	sets	set	NOUN
ajst-15578	121	23	of	of	ADP
ajst-15578	121	24	complete	complete	ADJ
ajst-15578	121	25	data	datum	NOUN
ajst-15578	121	26	before	before	SCONJ
ajst-15578	121	27	the	the	DET
ajst-15578	121	28	overflow	overflow	NOUN
ajst-15578	121	29	occurred	occur	VERB
ajst-15578	121	30	were	be	AUX
ajst-15578	121	31	selected	select	VERB
ajst-15578	121	32	from	from	ADP
ajst-15578	121	33	a	a	DET
ajst-15578	121	34	test	test	NOUN
ajst-15578	121	35	well	well	ADV
ajst-15578	121	36	monitoring	monitor	VERB
ajst-15578	121	37	data	datum	NOUN
ajst-15578	121	38	as	as	ADP
ajst-15578	121	39	the	the	DET
ajst-15578	121	40	test	test	NOUN
ajst-15578	121	41	set	set	VERB
ajst-15578	121	42	in	in	ADP
ajst-15578	121	43	the	the	DET
ajst-15578	121	44	previous	previous	ADJ
ajst-15578	121	45	paper	paper	NOUN
ajst-15578	121	46	,	,	PUNCT
ajst-15578	121	47	and	and	CCONJ
ajst-15578	121	48	the	the	DET
ajst-15578	121	49	test	test	NOUN
ajst-15578	121	50	data	datum	NOUN
ajst-15578	121	51	were	be	AUX
ajst-15578	121	52	assumed	assume	VERB
ajst-15578	121	53	to	to	PART
ajst-15578	121	54	be	be	AUX
ajst-15578	121	55	partially	partially	ADV
ajst-15578	121	56	missing	missing	ADJ
ajst-15578	121	57	during	during	ADP
ajst-15578	121	58	the	the	DET
ajst-15578	121	59	test	test	NOUN
ajst-15578	121	60	,	,	PUNCT
ajst-15578	121	61	and	and	CCONJ
ajst-15578	121	62	the	the	DET
ajst-15578	121	63	data	datum	NOUN
ajst-15578	121	64	were	be	AUX
ajst-15578	121	65	input	input	VERB
ajst-15578	121	66	into	into	ADP
ajst-15578	121	67	four	four	NUM
ajst-15578	121	68	neural	neural	ADJ
ajst-15578	121	69	network	network	NOUN
ajst-15578	121	70	models	model	NOUN
ajst-15578	121	71	,	,	PUNCT
ajst-15578	121	72	bilstm	bilstm	NOUN
ajst-15578	121	73	-	-	PUNCT
ajst-15578	121	74	bp	bp	PROPN
ajst-15578	121	75	,	,	PUNCT
ajst-15578	121	76	bp	bp	PROPN
ajst-15578	121	77	,	,	PUNCT
ajst-15578	121	78	ga	ga	PROPN
ajst-15578	121	79	-	-	PUNCT
ajst-15578	121	80	bp	bp	PROPN
ajst-15578	121	81	and	and	CCONJ
ajst-15578	121	82	svm	svm	PROPN
ajst-15578	121	83	,	,	PUNCT
ajst-15578	121	84	for	for	ADP
ajst-15578	121	85	test	test	NOUN
ajst-15578	121	86	set	set	VERB
ajst-15578	121	87	verification	verification	NOUN
ajst-15578	121	88	after	after	ADP
ajst-15578	121	89	standardized	standardized	ADJ
ajst-15578	121	90	processing	processing	NOUN
ajst-15578	121	91	,	,	PUNCT
ajst-15578	121	92	and	and	CCONJ
ajst-15578	121	93	exceeding	exceed	VERB
ajst-15578	121	94	the	the	DET
ajst-15578	121	95	upper	upper	ADJ
ajst-15578	121	96	alarm	alarm	NOUN
ajst-15578	121	97	value	value	NOUN
ajst-15578	121	98	then	then	ADV
ajst-15578	121	99	triggers	trigger	VERB
ajst-15578	121	100	the	the	DET
ajst-15578	121	101	overflow	overflow	NOUN
ajst-15578	121	102	alarm	alarm	NOUN
ajst-15578	121	103	,	,	PUNCT
ajst-15578	121	104	and	and	CCONJ
ajst-15578	121	105	some	some	PRON
ajst-15578	121	106	of	of	ADP
ajst-15578	121	107	the	the	DET
ajst-15578	121	108	identification	identification	NOUN
ajst-15578	121	109	comparison	comparison	NOUN
ajst-15578	121	110	results	result	NOUN
ajst-15578	121	111	are	be	AUX
ajst-15578	121	112	shown	show	VERB
ajst-15578	121	113	in	in	ADP
ajst-15578	121	114	fig	fig	NOUN
ajst-15578	121	115	.	.	PUNCT
ajst-15578	122	1	11	11	NUM
ajst-15578	122	2	.	.	X
ajst-15578	122	3	figure	figure	NOUN
ajst-15578	122	4	11	11	NUM
ajst-15578	122	5	.	.	PUNCT
ajst-15578	123	1	test	test	NOUN
ajst-15578	123	2	set	set	VERB
ajst-15578	123	3	data	datum	NOUN
ajst-15578	123	4	validation	validation	NOUN
ajst-15578	123	5	through	through	ADP
ajst-15578	123	6	data	datum	NOUN
ajst-15578	123	7	playback	playback	NOUN
ajst-15578	123	8	,	,	PUNCT
ajst-15578	123	9	this	this	DET
ajst-15578	123	10	test	test	NOUN
ajst-15578	123	11	set	set	VERB
ajst-15578	123	12	data	datum	NOUN
ajst-15578	123	13	showed	show	VERB
ajst-15578	123	14	an	an	DET
ajst-15578	123	15	abnormal	abnormal	ADJ
ajst-15578	123	16	resistivity	resistivity	NOUN
ajst-15578	123	17	of	of	ADP
ajst-15578	123	18	downhole	downhole	NOUN
ajst-15578	123	19	drilling	drilling	NOUN
ajst-15578	123	20	fluid	fluid	NOUN
ajst-15578	123	21	at	at	ADP
ajst-15578	123	22	group	group	NOUN
ajst-15578	123	23	338	338	NUM
ajst-15578	123	24	,	,	PUNCT
ajst-15578	123	25	104	104	NUM
ajst-15578	123	26	and	and	CCONJ
ajst-15578	123	27	the	the	DET
ajst-15578	123	28	tank	tank	NOUN
ajst-15578	123	29	volume	volume	NOUN
ajst-15578	123	30	showed	show	VERB
ajst-15578	123	31	an	an	DET
ajst-15578	123	32	upward	upward	ADJ
ajst-15578	123	33	trend	trend	NOUN
ajst-15578	123	34	,	,	PUNCT
ajst-15578	123	35	which	which	PRON
ajst-15578	123	36	was	be	AUX
ajst-15578	123	37	identified	identify	VERB
ajst-15578	123	38	as	as	ADP
ajst-15578	123	39	oil	oil	NOUN
ajst-15578	123	40	intrusion	intrusion	NOUN
ajst-15578	123	41	.	.	PUNCT
ajst-15578	124	1	as	as	SCONJ
ajst-15578	124	2	shown	show	VERB
ajst-15578	124	3	in	in	ADP
ajst-15578	124	4	fig	fig	NOUN
ajst-15578	124	5	.	.	PUNCT
ajst-15578	125	1	8	8	NUM
ajst-15578	125	2	,	,	PUNCT
ajst-15578	125	3	the	the	DET
ajst-15578	125	4	bilstmbp	bilstmbp	NOUN
ajst-15578	125	5	neural	neural	ADJ
ajst-15578	125	6	network	network	NOUN
ajst-15578	125	7	model	model	NOUN
ajst-15578	125	8	started	start	VERB
ajst-15578	125	9	to	to	PART
ajst-15578	125	10	rise	rise	VERB
ajst-15578	125	11	at	at	ADP
ajst-15578	125	12	group	group	NOUN
ajst-15578	125	13	321	321	NUM
ajst-15578	125	14	,	,	PUNCT
ajst-15578	125	15	ahead	ahead	ADV
ajst-15578	125	16	of	of	ADP
ajst-15578	125	17	the	the	DET
ajst-15578	125	18	other	other	ADJ
ajst-15578	125	19	three	three	NUM
ajst-15578	125	20	neural	neural	ADJ
ajst-15578	125	21	network	network	NOUN
ajst-15578	125	22	models	model	NOUN
ajst-15578	125	23	that	that	PRON
ajst-15578	125	24	monitored	monitor	VERB
ajst-15578	125	25	the	the	DET
ajst-15578	125	26	data	data	NOUN
ajst-15578	125	27	anomalies	anomaly	NOUN
ajst-15578	125	28	and	and	CCONJ
ajst-15578	125	29	successfully	successfully	ADV
ajst-15578	125	30	identified	identify	VERB
ajst-15578	125	31	the	the	DET
ajst-15578	125	32	overflow	overflow	NOUN
ajst-15578	125	33	.	.	PUNCT
ajst-15578	126	1	the	the	DET
ajst-15578	126	2	accuracy	accuracy	NOUN
ajst-15578	126	3	and	and	CCONJ
ajst-15578	126	4	loss	loss	NOUN
ajst-15578	126	5	value	value	NOUN
ajst-15578	126	6	comparison	comparison	NOUN
ajst-15578	126	7	results	result	NOUN
ajst-15578	126	8	of	of	ADP
ajst-15578	126	9	the	the	DET
ajst-15578	126	10	above	above	ADJ
ajst-15578	126	11	four	four	NUM
ajst-15578	126	12	neural	neural	ADJ
ajst-15578	126	13	network	network	NOUN
ajst-15578	126	14	models	model	NOUN
ajst-15578	126	15	are	be	AUX
ajst-15578	126	16	shown	show	VERB
ajst-15578	126	17	in	in	ADP
ajst-15578	126	18	fig	fig	NOUN
ajst-15578	126	19	.	.	PUNCT
ajst-15578	127	1	12	12	NUM
ajst-15578	127	2	.	.	PUNCT
ajst-15578	128	1	from	from	ADP
ajst-15578	128	2	the	the	DET
ajst-15578	128	3	accuracy	accuracy	NOUN
ajst-15578	128	4	comparison	comparison	NOUN
ajst-15578	128	5	results	result	VERB
ajst-15578	128	6	,	,	PUNCT
ajst-15578	128	7	it	it	PRON
ajst-15578	128	8	can	can	AUX
ajst-15578	128	9	be	be	AUX
ajst-15578	128	10	seen	see	VERB
ajst-15578	128	11	that	that	SCONJ
ajst-15578	128	12	each	each	DET
ajst-15578	128	13	model	model	NOUN
ajst-15578	128	14	can	can	AUX
ajst-15578	128	15	achieve	achieve	VERB
ajst-15578	128	16	a	a	DET
ajst-15578	128	17	certain	certain	ADJ
ajst-15578	128	18	accuracy	accuracy	NOUN
ajst-15578	128	19	rate	rate	NOUN
ajst-15578	128	20	as	as	ADP
ajst-15578	128	21	the	the	DET
ajst-15578	128	22	number	number	NOUN
ajst-15578	128	23	of	of	ADP
ajst-15578	128	24	iterations	iteration	NOUN
ajst-15578	128	25	increases	increase	NOUN
ajst-15578	128	26	,	,	PUNCT
ajst-15578	128	27	and	and	CCONJ
ajst-15578	128	28	starts	start	VERB
ajst-15578	128	29	to	to	PART
ajst-15578	128	30	converge	converge	VERB
ajst-15578	128	31	when	when	SCONJ
ajst-15578	128	32	the	the	DET
ajst-15578	128	33	number	number	NOUN
ajst-15578	128	34	of	of	ADP
ajst-15578	128	35	iterations	iteration	NOUN
ajst-15578	128	36	reaches	reach	VERB
ajst-15578	128	37	25	25	NUM
ajst-15578	128	38	.	.	PUNCT
ajst-15578	129	1	the	the	DET
ajst-15578	129	2	loss	loss	NOUN
ajst-15578	129	3	value	value	NOUN
ajst-15578	129	4	comparison	comparison	NOUN
ajst-15578	129	5	graph	graph	NOUN
ajst-15578	129	6	shows	show	VERB
ajst-15578	129	7	that	that	SCONJ
ajst-15578	129	8	the	the	DET
ajst-15578	129	9	final	final	ADJ
ajst-15578	129	10	loss	loss	NOUN
ajst-15578	129	11	values	value	NOUN
ajst-15578	129	12	are	be	AUX
ajst-15578	129	13	bilstm	bilstm	NOUN
ajst-15578	129	14	-	-	PUNCT
ajst-15578	129	15	bp	bp	PROPN
ajst-15578	129	16	,	,	PUNCT
ajst-15578	129	17	ga	ga	PROPN
ajst-15578	129	18	-	-	PUNCT
ajst-15578	129	19	bp	bp	PROPN
ajst-15578	129	20	,	,	PUNCT
ajst-15578	129	21	bp	bp	PROPN
ajst-15578	129	22	and	and	CCONJ
ajst-15578	129	23	svm	svm	ADJ
ajst-15578	129	24	models	model	NOUN
ajst-15578	129	25	in	in	ADP
ajst-15578	129	26	the	the	DET
ajst-15578	129	27	order	order	NOUN
ajst-15578	129	28	of	of	ADP
ajst-15578	129	29	smallest	small	ADJ
ajst-15578	129	30	to	to	PART
ajst-15578	129	31	largest	large	ADJ
ajst-15578	129	32	.	.	PUNCT
ajst-15578	130	1	figure	figure	NOUN
ajst-15578	130	2	12	12	NUM
ajst-15578	130	3	.	.	PUNCT
ajst-15578	131	1	accuracy	accuracy	NOUN
ajst-15578	131	2	and	and	CCONJ
ajst-15578	131	3	loss	loss	NOUN
ajst-15578	131	4	values	value	NOUN
ajst-15578	131	5	the	the	DET
ajst-15578	131	6	dichotomous	dichotomous	ADJ
ajst-15578	131	7	classification	classification	NOUN
ajst-15578	131	8	results	result	NOUN
ajst-15578	131	9	verified	verify	VERB
ajst-15578	131	10	by	by	ADP
ajst-15578	131	11	the	the	DET
ajst-15578	131	12	data	datum	NOUN
ajst-15578	131	13	of	of	ADP
ajst-15578	131	14	this	this	DET
ajst-15578	131	15	test	test	NOUN
ajst-15578	131	16	set	set	NOUN
ajst-15578	131	17	are	be	AUX
ajst-15578	131	18	shown	show	VERB
ajst-15578	131	19	in	in	ADP
ajst-15578	131	20	fig	fig	NOUN
ajst-15578	131	21	.	.	PUNCT
ajst-15578	132	1	13	13	NUM
ajst-15578	132	2	,	,	PUNCT
ajst-15578	132	3	and	and	CCONJ
ajst-15578	132	4	the	the	DET
ajst-15578	132	5	horizontal	horizontal	ADJ
ajst-15578	132	6	and	and	CCONJ
ajst-15578	132	7	vertical	vertical	ADJ
ajst-15578	132	8	coordinates	coordinate	NOUN
ajst-15578	132	9	are	be	AUX
ajst-15578	132	10	predicted	predict	VERB
ajst-15578	132	11	labels	label	NOUN
ajst-15578	132	12	and	and	CCONJ
ajst-15578	132	13	true	true	ADJ
ajst-15578	132	14	labels	label	NOUN
ajst-15578	132	15	,	,	PUNCT
ajst-15578	132	16	respectively	respectively	ADV
ajst-15578	132	17	.	.	PUNCT
ajst-15578	133	1	from	from	ADP
ajst-15578	133	2	the	the	DET
ajst-15578	133	3	fig	fig	NOUN
ajst-15578	133	4	.	.	PUNCT
ajst-15578	134	1	,	,	PUNCT
ajst-15578	134	2	it	it	PRON
ajst-15578	134	3	can	can	AUX
ajst-15578	134	4	be	be	AUX
ajst-15578	134	5	obtained	obtain	VERB
ajst-15578	134	6	that	that	SCONJ
ajst-15578	134	7	there	there	PRON
ajst-15578	134	8	are	be	VERB
ajst-15578	134	9	33	33	NUM
ajst-15578	134	10	times	time	NOUN
ajst-15578	134	11	that	that	SCONJ
ajst-15578	134	12	the	the	DET
ajst-15578	134	13	normal	normal	ADJ
ajst-15578	134	14	class	class	NOUN
ajst-15578	134	15	is	be	AUX
ajst-15578	134	16	incorrectly	incorrectly	ADV
ajst-15578	134	17	classified	classify	VERB
ajst-15578	134	18	into	into	ADP
ajst-15578	134	19	the	the	DET
ajst-15578	134	20	overflow	overflow	NOUN
ajst-15578	134	21	class	class	NOUN
ajst-15578	134	22	and	and	CCONJ
ajst-15578	134	23	27	27	NUM
ajst-15578	134	24	times	time	NOUN
ajst-15578	134	25	that	that	SCONJ
ajst-15578	134	26	the	the	DET
ajst-15578	134	27	overflow	overflow	NOUN
ajst-15578	134	28	class	class	NOUN
ajst-15578	134	29	is	be	AUX
ajst-15578	134	30	incorrectly	incorrectly	ADV
ajst-15578	134	31	classified	classify	VERB
ajst-15578	134	32	into	into	ADP
ajst-15578	134	33	the	the	DET
ajst-15578	134	34	normal	normal	ADJ
ajst-15578	134	35	class	class	NOUN
ajst-15578	134	36	,	,	PUNCT
ajst-15578	134	37	and	and	CCONJ
ajst-15578	134	38	the	the	DET
ajst-15578	134	39	overall	overall	ADJ
ajst-15578	134	40	accuracy	accuracy	NOUN
ajst-15578	134	41	of	of	ADP
ajst-15578	134	42	the	the	DET
ajst-15578	134	43	test	test	NOUN
ajst-15578	134	44	reaches	reach	VERB
ajst-15578	134	45	97.02	97.02	NUM
ajst-15578	134	46	%	%	NOUN
ajst-15578	134	47	.	.	PUNCT
ajst-15578	135	1	figure	figure	NOUN
ajst-15578	135	2	13	13	NUM
ajst-15578	135	3	.	.	PUNCT
ajst-15578	136	1	confusion	confusion	NOUN
ajst-15578	136	2	matrix	matrix	NOUN
ajst-15578	136	3	of	of	ADP
ajst-15578	136	4	binary	binary	ADJ
ajst-15578	136	5	classification	classification	NOUN
ajst-15578	136	6	through	through	ADP
ajst-15578	136	7	the	the	DET
ajst-15578	136	8	test	test	NOUN
ajst-15578	136	9	set	set	VERB
ajst-15578	136	10	data	datum	NOUN
ajst-15578	136	11	verification	verification	NOUN
ajst-15578	136	12	,	,	PUNCT
ajst-15578	136	13	the	the	DET
ajst-15578	136	14	early	early	ADJ
ajst-15578	136	15	overflow	overflow	ADJ
ajst-15578	136	16	intelligent	intelligent	ADJ
ajst-15578	136	17	identification	identification	NOUN
ajst-15578	136	18	model	model	NOUN
ajst-15578	136	19	proposed	propose	VERB
ajst-15578	136	20	in	in	ADP
ajst-15578	136	21	this	this	DET
ajst-15578	136	22	paper	paper	NOUN
ajst-15578	136	23	effectively	effectively	ADV
ajst-15578	136	24	improves	improve	VERB
ajst-15578	136	25	the	the	DET
ajst-15578	136	26	speed	speed	NOUN
ajst-15578	136	27	and	and	CCONJ
ajst-15578	136	28	accuracy	accuracy	NOUN
ajst-15578	136	29	of	of	ADP
ajst-15578	136	30	overflow	overflow	ADJ
ajst-15578	136	31	identification	identification	NOUN
ajst-15578	136	32	compared	compare	VERB
ajst-15578	136	33	with	with	ADP
ajst-15578	136	34	other	other	ADJ
ajst-15578	136	35	three	three	NUM
ajst-15578	136	36	commonly	commonly	ADV
ajst-15578	136	37	used	use	VERB
ajst-15578	136	38	neural	neural	ADJ
ajst-15578	136	39	network	network	NOUN
ajst-15578	136	40	models	model	NOUN
ajst-15578	136	41	often	often	ADV
ajst-15578	136	42	data	data	VERB
ajst-15578	136	43	.	.	PUNCT
ajst-15578	137	1	in	in	ADP
ajst-15578	137	2	order	order	NOUN
ajst-15578	137	3	to	to	PART
ajst-15578	137	4	further	far	ADV
ajst-15578	137	5	verify	verify	VERB
ajst-15578	137	6	the	the	DET
ajst-15578	137	7	early	early	ADJ
ajst-15578	137	8	warning	warning	NOUN
ajst-15578	137	9	effect	effect	NOUN
ajst-15578	137	10	of	of	ADP
ajst-15578	137	11	the	the	DET
ajst-15578	137	12	early	early	ADJ
ajst-15578	137	13	overflow	overflow	ADJ
ajst-15578	137	14	intelligent	intelligent	ADJ
ajst-15578	137	15	recognition	recognition	NOUN
ajst-15578	137	16	model	model	NOUN
ajst-15578	137	17	,	,	PUNCT
ajst-15578	137	18	the	the	DET
ajst-15578	137	19	model	model	NOUN
ajst-15578	137	20	is	be	AUX
ajst-15578	137	21	applied	apply	VERB
ajst-15578	137	22	to	to	ADP
ajst-15578	137	23	a	a	DET
ajst-15578	137	24	test	test	NOUN
ajst-15578	137	25	well	well	ADV
ajst-15578	137	26	for	for	ADP
ajst-15578	137	27	experimental	experimental	ADJ
ajst-15578	137	28	verification	verification	NOUN
ajst-15578	137	29	.	.	PUNCT
ajst-15578	138	1	3.3	3.3	NUM
ajst-15578	138	2	.	.	PUNCT
ajst-15578	138	3	field	field	NOUN
ajst-15578	138	4	test	test	NOUN
ajst-15578	138	5	verification	verification	NOUN
ajst-15578	138	6	based	base	VERB
ajst-15578	138	7	on	on	ADP
ajst-15578	138	8	the	the	DET
ajst-15578	138	9	well	well	ADJ
ajst-15578	138	10	site	site	NOUN
ajst-15578	138	11	conditions	condition	NOUN
ajst-15578	138	12	of	of	ADP
ajst-15578	138	13	this	this	DET
ajst-15578	138	14	test	test	NOUN
ajst-15578	138	15	well	well	ADV
ajst-15578	138	16	and	and	CCONJ
ajst-15578	138	17	the	the	DET
ajst-15578	138	18	need	need	NOUN
ajst-15578	138	19	for	for	ADP
ajst-15578	138	20	real	real	ADJ
ajst-15578	138	21	-	-	PUNCT
ajst-15578	138	22	time	time	NOUN
ajst-15578	138	23	acquisition	acquisition	NOUN
ajst-15578	138	24	of	of	ADP
ajst-15578	138	25	the	the	DET
ajst-15578	138	26	model	model	NOUN
ajst-15578	138	27	,	,	PUNCT
ajst-15578	138	28	a	a	DET
ajst-15578	138	29	more	more	ADV
ajst-15578	138	30	appropriate	appropriate	ADJ
ajst-15578	138	31	field	field	NOUN
ajst-15578	138	32	test	test	NOUN
ajst-15578	138	33	verification	verification	NOUN
ajst-15578	138	34	scheme	scheme	NOUN
ajst-15578	138	35	was	be	AUX
ajst-15578	138	36	developed	develop	VERB
ajst-15578	138	37	,	,	PUNCT
ajst-15578	138	38	as	as	SCONJ
ajst-15578	138	39	shown	show	VERB
ajst-15578	138	40	in	in	ADP
ajst-15578	138	41	fig	fig	NOUN
ajst-15578	138	42	.	.	PUNCT
ajst-15578	139	1	14	14	NUM
ajst-15578	139	2	.	.	X
ajst-15578	140	1	105	105	NUM
ajst-15578	141	1	getting	get	VERB
ajst-15578	141	2	 	 	SPACE
ajst-15578	141	3	data	datum	NOUN
ajst-15578	141	4	  	  	SPACE
ajst-15578	141	5	into	into	ADP
ajst-15578	141	6	 	 	SPACE
ajst-15578	141	7	the	the	DET
ajst-15578	141	8	 	 	SPACE
ajst-15578	141	9	queue	queue	NOUN
ajst-15578	141	10	the	the	DET
ajst-15578	141	11	 	 	SPACE
ajst-15578	141	12	data	datum	NOUN
ajst-15578	141	13	 	 	SPACE
ajst-15578	141	14	of	of	ADP
ajst-15578	141	15	  	  	SPACE
ajst-15578	141	16	pwd	pwd	VERB
ajst-15578	141	17	the	the	DET
ajst-15578	141	18	 	 	SPACE
ajst-15578	141	19	data	datum	NOUN
ajst-15578	141	20	 	 	SPACE
ajst-15578	141	21	of	of	ADP
ajst-15578	141	22	  	  	SPACE
ajst-15578	141	23	comprehensiv	comprehensiv	NOUN
ajst-15578	141	24	e	e	NOUN
ajst-15578	141	25	 	 	SPACE
ajst-15578	141	26	logging	log	VERB
ajst-15578	141	27	 	 	SPACE
ajst-15578	141	28	unit	unit	NOUN
ajst-15578	141	29	the	the	DET
ajst-15578	141	30	 	 	SPACE
ajst-15578	141	31	data	datum	NOUN
ajst-15578	141	32	 	 	SPACE
ajst-15578	141	33	of	of	ADP
ajst-15578	141	34	  	  	SPACE
ajst-15578	141	35	high	high	ADJ
ajst-15578	141	36	 	 	SPACE
ajst-15578	141	37	precision	precision	NOUN
ajst-15578	141	38	  	  	SPACE
ajst-15578	141	39	flow	flow	NOUN
ajst-15578	141	40	 	 	SPACE
ajst-15578	141	41	meter	meter	NOUN
ajst-15578	141	42	 	 	SPACE
ajst-15578	141	43	at	at	ADP
ajst-15578	141	44	  	  	SPACE
ajst-15578	141	45	the	the	DET
ajst-15578	141	46	 	 	SPACE
ajst-15578	141	47	wellhead	wellhead	NOUN
ajst-15578	141	48	receive	receive	VERB
ajst-15578	141	49	 	 	SPACE
ajst-15578	141	50	data	datum	NOUN
ajst-15578	141	51	getting	get	VERB
ajst-15578	141	52	 	 	SPACE
ajst-15578	141	53	data	datum	NOUN
ajst-15578	141	54	  	  	SPACE
ajst-15578	141	55	into	into	ADP
ajst-15578	141	56	 	 	SPACE
ajst-15578	141	57	the	the	DET
ajst-15578	141	58	 	 	SPACE
ajst-15578	141	59	queue	queue	NOUN
ajst-15578	141	60	is	be	AUX
ajst-15578	141	61	 	 	SPACE
ajst-15578	141	62	the	the	DET
ajst-15578	141	63	 	 	SPACE
ajst-15578	141	64	queue	queue	NOUN
ajst-15578	141	65	  	  	SPACE
ajst-15578	141	66	length	length	NOUN
ajst-15578	141	67	 	 	SPACE
ajst-15578	141	68	correct	correct	ADJ
ajst-15578	141	69	?	?	PUNCT
ajst-15578	142	1	continue	continue	VERB
ajst-15578	142	2	 	 	SPACE
ajst-15578	142	3	to	to	PART
ajst-15578	142	4	  	  	SPACE
ajst-15578	142	5	collect	collect	VERB
ajst-15578	142	6	 	 	SPACE
ajst-15578	142	7	data	datum	NOUN
ajst-15578	143	1	no	no	PRON
ajst-15578	143	2	is	be	AUX
ajst-15578	143	3	 	 	SPACE
ajst-15578	143	4	the	the	DET
ajst-15578	143	5	 	 	SPACE
ajst-15578	143	6	queue	queue	NOUN
ajst-15578	143	7	  	  	SPACE
ajst-15578	143	8	length	length	NOUN
ajst-15578	143	9	 	 	SPACE
ajst-15578	143	10	correct	correct	ADJ
ajst-15578	143	11	?	?	PUNCT
ajst-15578	144	1	continue	continue	VERB
ajst-15578	144	2	 	 	SPACE
ajst-15578	144	3	to	to	PART
ajst-15578	144	4	  	  	SPACE
ajst-15578	144	5	collect	collect	VERB
ajst-15578	144	6	 	 	SPACE
ajst-15578	144	7	data	datum	NOUN
ajst-15578	144	8	no	no	DET
ajst-15578	144	9	data	data	NOUN
ajst-15578	144	10	  	  	SPACE
ajst-15578	144	11	transmission	transmission	NOUN
ajst-15578	144	12	data	datum	NOUN
ajst-15578	144	13	  	  	SPACE
ajst-15578	144	14	transmission	transmission	NOUN
ajst-15578	145	1	yes	yes	INTJ
ajst-15578	145	2	yes	yes	INTJ
ajst-15578	145	3	tcp	tcp	VERB
ajst-15578	145	4	usart	usart	ADJ
ajst-15578	145	5	process	process	NOUN
ajst-15578	145	6	 	 	SPACE
ajst-15578	145	7	data	datum	NOUN
ajst-15578	145	8	  	  	SPACE
ajst-15578	145	9	and	and	CCONJ
ajst-15578	145	10	 	 	SPACE
ajst-15578	145	11	call	call	VERB
ajst-15578	145	12	 	 	SPACE
ajst-15578	145	13	the	the	DET
ajst-15578	145	14	  	  	SPACE
ajst-15578	145	15	model	model	NOUN
ajst-15578	145	16	the	the	DET
ajst-15578	145	17	 	 	SPACE
ajst-15578	145	18	identify	identify	VERB
ajst-15578	145	19	  	  	SPACE
ajst-15578	145	20	results	result	NOUN
ajst-15578	145	21	 	 	SPACE
ajst-15578	145	22	of	of	ADP
ajst-15578	145	23	  	  	SPACE
ajst-15578	145	24	overflow	overflow	NOUN
ajst-15578	145	25	figure	figure	NOUN
ajst-15578	145	26	14	14	NUM
ajst-15578	145	27	.	.	PUNCT
ajst-15578	146	1	field	field	NOUN
ajst-15578	146	2	verification	verification	NOUN
ajst-15578	146	3	flow	flow	NOUN
ajst-15578	146	4	chart	chart	NOUN
ajst-15578	146	5	during	during	ADP
ajst-15578	146	6	the	the	DET
ajst-15578	146	7	field	field	NOUN
ajst-15578	146	8	test	test	NOUN
ajst-15578	146	9	verification	verification	NOUN
ajst-15578	146	10	,	,	PUNCT
ajst-15578	146	11	the	the	DET
ajst-15578	146	12	integrated	integrate	VERB
ajst-15578	146	13	logging	log	VERB
ajst-15578	146	14	data	datum	NOUN
ajst-15578	146	15	and	and	CCONJ
ajst-15578	146	16	downhole	downhole	NOUN
ajst-15578	146	17	data	datum	NOUN
ajst-15578	146	18	were	be	AUX
ajst-15578	146	19	sent	send	VERB
ajst-15578	146	20	via	via	ADP
ajst-15578	146	21	tcp	tcp	NOUN
ajst-15578	146	22	using	use	VERB
ajst-15578	146	23	the	the	DET
ajst-15578	146	24	field	field	NOUN
ajst-15578	146	25	integrated	integrate	VERB
ajst-15578	146	26	logger	logger	NOUN
ajst-15578	146	27	in	in	ADP
ajst-15578	146	28	wits	wit	NOUN
ajst-15578	146	29	standard	standard	ADJ
ajst-15578	146	30	format	format	NOUN
ajst-15578	146	31	,	,	PUNCT
ajst-15578	146	32	and	and	CCONJ
ajst-15578	146	33	the	the	DET
ajst-15578	146	34	flowmeter	flowmeter	NOUN
ajst-15578	146	35	data	datum	NOUN
ajst-15578	146	36	were	be	AUX
ajst-15578	146	37	transmitted	transmit	VERB
ajst-15578	146	38	via	via	ADP
ajst-15578	146	39	serial	serial	ADJ
ajst-15578	146	40	port	port	NOUN
ajst-15578	146	41	.	.	PUNCT
ajst-15578	147	1	after	after	ADP
ajst-15578	147	2	receiving	receive	VERB
ajst-15578	147	3	the	the	DET
ajst-15578	147	4	data	datum	NOUN
ajst-15578	147	5	,	,	PUNCT
ajst-15578	147	6	the	the	DET
ajst-15578	147	7	early	early	ADJ
ajst-15578	147	8	overflow	overflow	ADJ
ajst-15578	147	9	intelligent	intelligent	ADJ
ajst-15578	147	10	identification	identification	NOUN
ajst-15578	147	11	model	model	NOUN
ajst-15578	147	12	performs	perform	VERB
ajst-15578	147	13	analysis	analysis	NOUN
ajst-15578	147	14	and	and	CCONJ
ajst-15578	147	15	calculation	calculation	NOUN
ajst-15578	147	16	to	to	PART
ajst-15578	147	17	finally	finally	ADV
ajst-15578	147	18	feedback	feedback	VERB
ajst-15578	147	19	the	the	DET
ajst-15578	147	20	overflow	overflow	NOUN
ajst-15578	147	21	identification	identification	NOUN
ajst-15578	147	22	results	result	NOUN
ajst-15578	147	23	,	,	PUNCT
ajst-15578	147	24	and	and	CCONJ
ajst-15578	147	25	some	some	PRON
ajst-15578	147	26	of	of	ADP
ajst-15578	147	27	the	the	DET
ajst-15578	147	28	overflow	overflow	NOUN
ajst-15578	147	29	identification	identification	NOUN
ajst-15578	147	30	results	result	NOUN
ajst-15578	147	31	are	be	AUX
ajst-15578	147	32	shown	show	VERB
ajst-15578	147	33	in	in	ADP
ajst-15578	147	34	fig	fig	NOUN
ajst-15578	147	35	.	.	PUNCT
ajst-15578	148	1	15	15	NUM
ajst-15578	148	2	and	and	CCONJ
ajst-15578	148	3	16	16	NUM
ajst-15578	148	4	.	.	PUNCT
ajst-15578	149	1	by	by	ADP
ajst-15578	149	2	comparing	compare	VERB
ajst-15578	149	3	the	the	DET
ajst-15578	149	4	results	result	NOUN
ajst-15578	149	5	of	of	ADP
ajst-15578	149	6	the	the	DET
ajst-15578	149	7	model	model	NOUN
ajst-15578	149	8	field	field	NOUN
ajst-15578	149	9	test	test	NOUN
ajst-15578	149	10	with	with	ADP
ajst-15578	149	11	the	the	DET
ajst-15578	149	12	logging	log	VERB
ajst-15578	149	13	report	report	NOUN
ajst-15578	149	14	for	for	ADP
ajst-15578	149	15	the	the	DET
ajst-15578	149	16	same	same	ADJ
ajst-15578	149	17	time	time	NOUN
ajst-15578	149	18	period	period	NOUN
ajst-15578	149	19	on	on	ADP
ajst-15578	149	20	the	the	DET
ajst-15578	149	21	day	day	NOUN
ajst-15578	149	22	of	of	ADP
ajst-15578	149	23	the	the	DET
ajst-15578	149	24	test	test	NOUN
ajst-15578	149	25	well	well	ADV
ajst-15578	149	26	,	,	PUNCT
ajst-15578	149	27	it	it	PRON
ajst-15578	149	28	was	be	AUX
ajst-15578	149	29	found	find	VERB
ajst-15578	149	30	that	that	SCONJ
ajst-15578	149	31	as	as	SCONJ
ajst-15578	149	32	shown	show	VERB
ajst-15578	149	33	in	in	ADP
ajst-15578	149	34	fig	fig	NOUN
ajst-15578	149	35	.	.	PUNCT
ajst-15578	150	1	12	12	NUM
ajst-15578	150	2	,	,	PUNCT
ajst-15578	150	3	the	the	DET
ajst-15578	150	4	model	model	NOUN
ajst-15578	150	5	reached	reach	VERB
ajst-15578	150	6	the	the	DET
ajst-15578	150	7	upper	upper	ADJ
ajst-15578	150	8	warning	warning	NOUN
ajst-15578	150	9	value	value	NOUN
ajst-15578	150	10	and	and	CCONJ
ajst-15578	150	11	alarm	alarm	NOUN
ajst-15578	150	12	at	at	ADP
ajst-15578	150	13	t=138	t=138	PROPN
ajst-15578	150	14	s.	s.	NOUN
ajst-15578	150	15	the	the	DET
ajst-15578	150	16	logging	log	VERB
ajst-15578	150	17	report	report	NOUN
ajst-15578	150	18	showed	show	VERB
ajst-15578	150	19	that	that	SCONJ
ajst-15578	150	20	the	the	DET
ajst-15578	150	21	test	test	NOUN
ajst-15578	150	22	well	well	ADV
ajst-15578	150	23	experienced	experienced	ADJ
ajst-15578	150	24	gas	gas	NOUN
ajst-15578	150	25	intrusion	intrusion	NOUN
ajst-15578	150	26	at	at	ADP
ajst-15578	150	27	t=173	t=173	PROPN
ajst-15578	150	28	s.	s.	PROPN
ajst-15578	150	29	the	the	DET
ajst-15578	150	30	full	full	ADJ
ajst-15578	150	31	hydrocarbon	hydrocarbon	NOUN
ajst-15578	150	32	content	content	NOUN
ajst-15578	150	33	increased	increase	VERB
ajst-15578	150	34	and	and	CCONJ
ajst-15578	150	35	the	the	DET
ajst-15578	150	36	model	model	NOUN
ajst-15578	150	37	monitored	monitor	VERB
ajst-15578	150	38	the	the	DET
ajst-15578	150	39	anomaly	anomaly	NOUN
ajst-15578	150	40	manually	manually	ADV
ajst-15578	150	41	at	at	ADP
ajst-15578	150	42	the	the	DET
ajst-15578	150	43	drilling	drilling	NOUN
ajst-15578	150	44	site	site	NOUN
ajst-15578	150	45	in	in	ADP
ajst-15578	150	46	advance	advance	NOUN
ajst-15578	150	47	.	.	PUNCT
ajst-15578	151	1	as	as	SCONJ
ajst-15578	151	2	shown	show	VERB
ajst-15578	151	3	in	in	ADP
ajst-15578	151	4	fig	fig	NOUN
ajst-15578	151	5	.	.	PUNCT
ajst-15578	152	1	13	13	NUM
ajst-15578	152	2	,	,	PUNCT
ajst-15578	152	3	the	the	DET
ajst-15578	152	4	model	model	NOUN
ajst-15578	152	5	started	start	VERB
ajst-15578	152	6	to	to	PART
ajst-15578	152	7	increase	increase	VERB
ajst-15578	152	8	the	the	DET
ajst-15578	152	9	probability	probability	NOUN
ajst-15578	152	10	of	of	ADP
ajst-15578	152	11	overflow	overflow	NOUN
ajst-15578	152	12	at	at	ADP
ajst-15578	152	13	t=151	t=151	NUM
ajst-15578	152	14	seconds	second	NOUN
ajst-15578	152	15	and	and	CCONJ
ajst-15578	152	16	reached	reach	VERB
ajst-15578	152	17	the	the	DET
ajst-15578	152	18	upper	upper	ADJ
ajst-15578	152	19	warning	warning	NOUN
ajst-15578	152	20	value	value	NOUN
ajst-15578	152	21	and	and	CCONJ
ajst-15578	152	22	alarm	alarm	NOUN
ajst-15578	152	23	at	at	ADP
ajst-15578	152	24	t=167	t=167	ADJ
ajst-15578	152	25	seconds	second	NOUN
ajst-15578	152	26	,	,	PUNCT
ajst-15578	152	27	which	which	PRON
ajst-15578	152	28	lasted	last	VERB
ajst-15578	152	29	for	for	ADP
ajst-15578	152	30	5	5	NUM
ajst-15578	152	31	seconds	second	NOUN
ajst-15578	152	32	and	and	CCONJ
ajst-15578	152	33	then	then	ADV
ajst-15578	152	34	dropped	drop	VERB
ajst-15578	152	35	back	back	ADV
ajst-15578	152	36	to	to	ADP
ajst-15578	152	37	below	below	ADP
ajst-15578	152	38	the	the	DET
ajst-15578	152	39	upper	upper	ADJ
ajst-15578	152	40	warning	warning	NOUN
ajst-15578	152	41	value	value	NOUN
ajst-15578	152	42	and	and	CCONJ
ajst-15578	152	43	lifted	lift	VERB
ajst-15578	152	44	the	the	DET
ajst-15578	152	45	risk	risk	NOUN
ajst-15578	152	46	of	of	ADP
ajst-15578	152	47	overflow	overflow	NOUN
ajst-15578	152	48	at	at	ADP
ajst-15578	152	49	t=202	t=202	PROPN
ajst-15578	152	50	seconds	second	NOUN
ajst-15578	152	51	;	;	PUNCT
ajst-15578	152	52	it	it	PRON
ajst-15578	152	53	is	be	AUX
ajst-15578	152	54	assumed	assume	VERB
ajst-15578	152	55	from	from	ADP
ajst-15578	152	56	the	the	DET
ajst-15578	152	57	analysis	analysis	NOUN
ajst-15578	152	58	of	of	ADP
ajst-15578	152	59	the	the	DET
ajst-15578	152	60	logging	log	VERB
ajst-15578	152	61	report	report	NOUN
ajst-15578	152	62	that	that	SCONJ
ajst-15578	152	63	the	the	DET
ajst-15578	152	64	probability	probability	NOUN
ajst-15578	152	65	of	of	ADP
ajst-15578	152	66	overflow	overflow	NOUN
ajst-15578	152	67	increased	increase	VERB
ajst-15578	152	68	due	due	ADP
ajst-15578	152	69	to	to	ADP
ajst-15578	152	70	the	the	DET
ajst-15578	152	71	abnormal	abnormal	ADJ
ajst-15578	152	72	standpipe	standpipe	NOUN
ajst-15578	152	73	pressure	pressure	NOUN
ajst-15578	152	74	and	and	CCONJ
ajst-15578	152	75	the	the	DET
ajst-15578	152	76	increase	increase	NOUN
ajst-15578	152	77	in	in	ADP
ajst-15578	152	78	downhole	downhole	ADJ
ajst-15578	152	79	annular	annular	ADJ
ajst-15578	152	80	pressure	pressure	NOUN
ajst-15578	152	81	caused	cause	VERB
ajst-15578	152	82	by	by	ADP
ajst-15578	152	83	the	the	DET
ajst-15578	152	84	insufficient	insufficient	ADJ
ajst-15578	152	85	drilling	drilling	NOUN
ajst-15578	152	86	fluid	fluid	ADJ
ajst-15578	152	87	density	density	NOUN
ajst-15578	152	88	.	.	PUNCT
ajst-15578	153	1	the	the	DET
ajst-15578	153	2	model	model	NOUN
ajst-15578	153	3	reached	reach	VERB
ajst-15578	153	4	the	the	DET
ajst-15578	153	5	upper	upper	ADJ
ajst-15578	153	6	warning	warning	NOUN
ajst-15578	153	7	value	value	NOUN
ajst-15578	153	8	and	and	CCONJ
ajst-15578	153	9	alarmed	alarm	VERB
ajst-15578	153	10	due	due	ADP
ajst-15578	153	11	to	to	ADP
ajst-15578	153	12	the	the	DET
ajst-15578	153	13	change	change	NOUN
ajst-15578	153	14	in	in	ADP
ajst-15578	153	15	standpipe	standpipe	NOUN
ajst-15578	153	16	pressure	pressure	NOUN
ajst-15578	153	17	and	and	CCONJ
ajst-15578	153	18	resistivity	resistivity	NOUN
ajst-15578	153	19	of	of	ADP
ajst-15578	153	20	the	the	DET
ajst-15578	153	21	downhole	downhole	NOUN
ajst-15578	153	22	annulus	annulus	NOUN
ajst-15578	153	23	caused	cause	VERB
ajst-15578	153	24	by	by	ADP
ajst-15578	153	25	the	the	DET
ajst-15578	153	26	increase	increase	NOUN
ajst-15578	153	27	in	in	ADP
ajst-15578	153	28	the	the	DET
ajst-15578	153	29	volume	volume	NOUN
ajst-15578	153	30	of	of	ADP
ajst-15578	153	31	the	the	DET
ajst-15578	153	32	tank	tank	NOUN
ajst-15578	153	33	,	,	PUNCT
ajst-15578	153	34	which	which	PRON
ajst-15578	153	35	led	lead	VERB
ajst-15578	153	36	to	to	ADP
ajst-15578	153	37	the	the	DET
ajst-15578	153	38	increase	increase	NOUN
ajst-15578	153	39	in	in	ADP
ajst-15578	153	40	the	the	DET
ajst-15578	153	41	probability	probability	NOUN
ajst-15578	153	42	of	of	ADP
ajst-15578	153	43	overflow	overflow	NOUN
ajst-15578	153	44	,	,	PUNCT
ajst-15578	153	45	and	and	CCONJ
ajst-15578	153	46	the	the	DET
ajst-15578	153	47	subsequent	subsequent	ADJ
ajst-15578	153	48	weighted	weight	VERB
ajst-15578	153	49	drilling	drilling	NOUN
ajst-15578	153	50	fluid	fluid	NOUN
ajst-15578	153	51	to	to	PART
ajst-15578	153	52	balance	balance	VERB
ajst-15578	153	53	the	the	DET
ajst-15578	153	54	formation	formation	NOUN
ajst-15578	153	55	pressure	pressure	NOUN
ajst-15578	153	56	.	.	PUNCT
ajst-15578	154	1	figure	figure	NOUN
ajst-15578	154	2	15	15	NUM
ajst-15578	154	3	.	.	PUNCT
ajst-15578	155	1	field	field	NOUN
ajst-15578	155	2	verification	verification	NOUN
ajst-15578	155	3	(	(	PUNCT
ajst-15578	155	4	1	1	X
ajst-15578	155	5	)	)	PUNCT
ajst-15578	155	6	figure	figure	NOUN
ajst-15578	155	7	16	16	NUM
ajst-15578	155	8	.	.	PUNCT
ajst-15578	156	1	field	field	NOUN
ajst-15578	156	2	verification	verification	NOUN
ajst-15578	156	3	(	(	PUNCT
ajst-15578	156	4	2	2	NUM
ajst-15578	156	5	)	)	PUNCT
ajst-15578	156	6	in	in	ADP
ajst-15578	156	7	actual	actual	ADJ
ajst-15578	156	8	engineering	engineering	NOUN
ajst-15578	156	9	applications	application	NOUN
ajst-15578	156	10	,	,	PUNCT
ajst-15578	156	11	the	the	DET
ajst-15578	156	12	model	model	NOUN
ajst-15578	156	13	can	can	AUX
ajst-15578	156	14	be	be	AUX
ajst-15578	156	15	trained	train	VERB
ajst-15578	156	16	in	in	ADP
ajst-15578	156	17	advance	advance	NOUN
ajst-15578	156	18	through	through	ADP
ajst-15578	156	19	the	the	DET
ajst-15578	156	20	historical	historical	ADJ
ajst-15578	156	21	data	datum	NOUN
ajst-15578	156	22	of	of	ADP
ajst-15578	156	23	adjacent	adjacent	ADJ
ajst-15578	156	24	blocks	block	NOUN
ajst-15578	156	25	,	,	PUNCT
ajst-15578	156	26	and	and	CCONJ
ajst-15578	156	27	the	the	DET
ajst-15578	156	28	corresponding	corresponding	ADJ
ajst-15578	156	29	weight	weight	NOUN
ajst-15578	156	30	coefficients	coefficient	NOUN
ajst-15578	156	31	of	of	ADP
ajst-15578	156	32	the	the	DET
ajst-15578	156	33	model	model	NOUN
ajst-15578	156	34	can	can	AUX
ajst-15578	156	35	be	be	AUX
ajst-15578	156	36	saved	save	VERB
ajst-15578	156	37	after	after	SCONJ
ajst-15578	156	38	the	the	DET
ajst-15578	156	39	training	training	NOUN
ajst-15578	156	40	is	be	AUX
ajst-15578	156	41	completed	complete	VERB
ajst-15578	156	42	,	,	PUNCT
ajst-15578	156	43	while	while	SCONJ
ajst-15578	156	44	the	the	DET
ajst-15578	156	45	corresponding	correspond	VERB
ajst-15578	156	46	106	106	NUM
ajst-15578	156	47	interface	interface	NOUN
ajst-15578	156	48	is	be	AUX
ajst-15578	156	49	written	write	VERB
ajst-15578	156	50	and	and	CCONJ
ajst-15578	156	51	encapsulated	encapsulate	VERB
ajst-15578	156	52	,	,	PUNCT
ajst-15578	156	53	and	and	CCONJ
ajst-15578	156	54	the	the	DET
ajst-15578	156	55	real	real	ADJ
ajst-15578	156	56	-	-	PUNCT
ajst-15578	156	57	time	time	NOUN
ajst-15578	156	58	relevant	relevant	ADJ
ajst-15578	156	59	data	datum	NOUN
ajst-15578	156	60	can	can	AUX
ajst-15578	156	61	be	be	AUX
ajst-15578	156	62	directly	directly	ADV
ajst-15578	156	63	accessed	access	VERB
ajst-15578	156	64	for	for	ADP
ajst-15578	156	65	early	early	ADJ
ajst-15578	156	66	overflow	overflow	ADJ
ajst-15578	156	67	intelligent	intelligent	ADJ
ajst-15578	156	68	identification	identification	NOUN
ajst-15578	156	69	when	when	SCONJ
ajst-15578	156	70	used	use	VERB
ajst-15578	156	71	,	,	PUNCT
ajst-15578	156	72	which	which	PRON
ajst-15578	156	73	improves	improve	VERB
ajst-15578	156	74	the	the	DET
ajst-15578	156	75	level	level	NOUN
ajst-15578	156	76	of	of	ADP
ajst-15578	156	77	well	well	ADV
ajst-15578	156	78	control	control	NOUN
ajst-15578	156	79	safety	safety	NOUN
ajst-15578	156	80	monitoring	monitoring	NOUN
ajst-15578	156	81	to	to	ADP
ajst-15578	156	82	a	a	DET
ajst-15578	156	83	certain	certain	ADJ
ajst-15578	156	84	extent	extent	NOUN
ajst-15578	156	85	and	and	CCONJ
ajst-15578	156	86	relieves	relieve	VERB
ajst-15578	156	87	the	the	DET
ajst-15578	156	88	burden	burden	NOUN
ajst-15578	156	89	of	of	ADP
ajst-15578	156	90	field	field	NOUN
ajst-15578	156	91	technicians	technician	NOUN
ajst-15578	156	92	.	.	PUNCT
ajst-15578	157	1	4	4	X
ajst-15578	157	2	.	.	X
ajst-15578	157	3	summary	summary	NOUN
ajst-15578	157	4	in	in	ADP
ajst-15578	157	5	this	this	DET
ajst-15578	157	6	paper	paper	NOUN
ajst-15578	157	7	,	,	PUNCT
ajst-15578	157	8	an	an	DET
ajst-15578	157	9	early	early	ADJ
ajst-15578	157	10	overflow	overflow	ADJ
ajst-15578	157	11	intelligent	intelligent	ADJ
ajst-15578	157	12	identification	identification	NOUN
ajst-15578	157	13	method	method	NOUN
ajst-15578	157	14	based	base	VERB
ajst-15578	157	15	on	on	ADP
ajst-15578	157	16	bilstm	bilstm	NOUN
ajst-15578	157	17	-	-	PUNCT
ajst-15578	157	18	bp	bp	PROPN
ajst-15578	157	19	neural	neural	ADJ
ajst-15578	157	20	network	network	NOUN
ajst-15578	157	21	is	be	AUX
ajst-15578	157	22	proposed	propose	VERB
ajst-15578	157	23	to	to	PART
ajst-15578	157	24	address	address	VERB
ajst-15578	157	25	the	the	DET
ajst-15578	157	26	problems	problem	NOUN
ajst-15578	157	27	of	of	ADP
ajst-15578	157	28	insufficient	insufficient	ADJ
ajst-15578	157	29	real	real	ADJ
ajst-15578	157	30	-	-	PUNCT
ajst-15578	157	31	time	time	NOUN
ajst-15578	157	32	and	and	CCONJ
ajst-15578	157	33	low	low	ADJ
ajst-15578	157	34	reliability	reliability	NOUN
ajst-15578	157	35	of	of	ADP
ajst-15578	157	36	the	the	DET
ajst-15578	157	37	traditional	traditional	ADJ
ajst-15578	157	38	single	single	ADJ
ajst-15578	157	39	monitoring	monitoring	NOUN
ajst-15578	157	40	means	mean	VERB
ajst-15578	157	41	when	when	SCONJ
ajst-15578	157	42	the	the	DET
ajst-15578	157	43	existing	exist	VERB
ajst-15578	157	44	overflow	overflow	NOUN
ajst-15578	157	45	monitoring	monitoring	NOUN
ajst-15578	157	46	technology	technology	NOUN
ajst-15578	157	47	is	be	AUX
ajst-15578	157	48	monitored	monitor	VERB
ajst-15578	157	49	;	;	PUNCT
ajst-15578	157	50	the	the	DET
ajst-15578	157	51	missing	miss	VERB
ajst-15578	157	52	downhole	downhole	NOUN
ajst-15578	157	53	measurement	measurement	NOUN
ajst-15578	157	54	data	datum	NOUN
ajst-15578	157	55	affects	affect	VERB
ajst-15578	157	56	the	the	DET
ajst-15578	157	57	prediction	prediction	NOUN
ajst-15578	157	58	accuracy	accuracy	NOUN
ajst-15578	157	59	of	of	ADP
ajst-15578	157	60	multi	multi	ADJ
ajst-15578	157	61	-	-	ADJ
ajst-15578	157	62	source	source	NOUN
ajst-15578	157	63	data	datum	NOUN
ajst-15578	157	64	fusion	fusion	NOUN
ajst-15578	157	65	,	,	PUNCT
ajst-15578	157	66	etc	etc	X
ajst-15578	157	67	.	.	X
ajst-15578	158	1	the	the	DET
ajst-15578	158	2	bilstm	bilstm	NOUN
ajst-15578	158	3	neural	neural	ADJ
ajst-15578	158	4	network	network	NOUN
ajst-15578	158	5	model	model	NOUN
ajst-15578	158	6	is	be	AUX
ajst-15578	158	7	used	use	VERB
ajst-15578	158	8	to	to	PART
ajst-15578	158	9	learn	learn	VERB
ajst-15578	158	10	the	the	DET
ajst-15578	158	11	complex	complex	ADJ
ajst-15578	158	12	change	change	NOUN
ajst-15578	158	13	law	law	NOUN
ajst-15578	158	14	between	between	ADP
ajst-15578	158	15	the	the	DET
ajst-15578	158	16	overflow	overflow	NOUN
ajst-15578	158	17	identification	identification	NOUN
ajst-15578	158	18	monitoring	monitor	VERB
ajst-15578	158	19	parameters	parameter	NOUN
ajst-15578	158	20	and	and	CCONJ
ajst-15578	158	21	downhole	downhole	NOUN
ajst-15578	158	22	monitoring	monitoring	NOUN
ajst-15578	158	23	parameters	parameter	NOUN
ajst-15578	158	24	,	,	PUNCT
ajst-15578	158	25	to	to	PART
ajst-15578	158	26	realize	realize	VERB
ajst-15578	158	27	the	the	DET
ajst-15578	158	28	repair	repair	NOUN
ajst-15578	158	29	of	of	ADP
ajst-15578	158	30	downhole	downhole	NOUN
ajst-15578	158	31	missing	miss	VERB
ajst-15578	158	32	data	datum	NOUN
ajst-15578	158	33	by	by	ADP
ajst-15578	158	34	predicting	predict	VERB
ajst-15578	158	35	the	the	DET
ajst-15578	158	36	missing	miss	VERB
ajst-15578	158	37	values	value	NOUN
ajst-15578	158	38	when	when	SCONJ
ajst-15578	158	39	downhole	downhole	NOUN
ajst-15578	158	40	data	datum	NOUN
ajst-15578	158	41	are	be	AUX
ajst-15578	158	42	missing	miss	VERB
ajst-15578	158	43	,	,	PUNCT
ajst-15578	158	44	and	and	CCONJ
ajst-15578	158	45	to	to	PART
ajst-15578	158	46	predict	predict	VERB
ajst-15578	158	47	the	the	DET
ajst-15578	158	48	overflow	overflow	ADJ
ajst-15578	158	49	risk	risk	NOUN
ajst-15578	158	50	using	use	VERB
ajst-15578	158	51	the	the	DET
ajst-15578	158	52	bp	bp	PROPN
ajst-15578	158	53	neural	neural	PROPN
ajst-15578	158	54	network	network	NOUN
ajst-15578	158	55	model	model	NOUN
ajst-15578	158	56	,	,	PUNCT
ajst-15578	158	57	and	and	CCONJ
ajst-15578	158	58	to	to	ADP
ajst-15578	158	59	alarm	alarm	NOUN
ajst-15578	158	60	according	accord	VERB
ajst-15578	158	61	to	to	ADP
ajst-15578	158	62	the	the	DET
ajst-15578	158	63	set	set	VERB
ajst-15578	158	64	upper	upper	ADJ
ajst-15578	158	65	overflow	overflow	NOUN
ajst-15578	158	66	risk	risk	NOUN
ajst-15578	158	67	threshold	threshold	NOUN
ajst-15578	158	68	.	.	PUNCT
ajst-15578	159	1	through	through	ADP
ajst-15578	159	2	the	the	DET
ajst-15578	159	3	test	test	NOUN
ajst-15578	159	4	set	set	VERB
ajst-15578	159	5	data	datum	NOUN
ajst-15578	159	6	validation	validation	NOUN
ajst-15578	159	7	and	and	CCONJ
ajst-15578	159	8	field	field	NOUN
ajst-15578	159	9	test	test	NOUN
ajst-15578	159	10	verification	verification	NOUN
ajst-15578	159	11	,	,	PUNCT
ajst-15578	159	12	the	the	DET
ajst-15578	159	13	bilstm	bilstm	NOUN
ajst-15578	159	14	-	-	PUNCT
ajst-15578	159	15	bp	bp	PROPN
ajst-15578	159	16	neural	neural	ADJ
ajst-15578	159	17	network	network	NOUN
ajst-15578	159	18	model	model	NOUN
ajst-15578	159	19	results	result	NOUN
ajst-15578	159	20	match	match	VERB
ajst-15578	159	21	well	well	ADV
ajst-15578	159	22	with	with	ADP
ajst-15578	159	23	the	the	DET
ajst-15578	159	24	actual	actual	ADJ
ajst-15578	159	25	measured	measure	VERB
ajst-15578	159	26	results	result	NOUN
ajst-15578	159	27	,	,	PUNCT
ajst-15578	159	28	and	and	CCONJ
ajst-15578	159	29	the	the	DET
ajst-15578	159	30	overall	overall	ADJ
ajst-15578	159	31	accuracy	accuracy	NOUN
ajst-15578	159	32	of	of	ADP
ajst-15578	159	33	the	the	DET
ajst-15578	159	34	test	test	NOUN
ajst-15578	159	35	is	be	AUX
ajst-15578	159	36	1.23	1.23	NUM
ajst-15578	159	37	%	%	NOUN
ajst-15578	159	38	higher	high	ADJ
ajst-15578	159	39	than	than	ADP
ajst-15578	159	40	the	the	DET
ajst-15578	159	41	existing	exist	VERB
ajst-15578	159	42	model	model	NOUN
ajst-15578	159	43	,	,	PUNCT
ajst-15578	159	44	and	and	CCONJ
ajst-15578	159	45	it	it	PRON
ajst-15578	159	46	can	can	AUX
ajst-15578	159	47	identify	identify	VERB
ajst-15578	159	48	the	the	DET
ajst-15578	159	49	overflow	overflow	NOUN
ajst-15578	159	50	more	more	ADV
ajst-15578	159	51	quickly	quickly	ADV
ajst-15578	159	52	while	while	SCONJ
ajst-15578	159	53	ensuring	ensure	VERB
ajst-15578	159	54	a	a	DET
ajst-15578	159	55	higher	high	ADJ
ajst-15578	159	56	accuracy	accuracy	NOUN
ajst-15578	159	57	,	,	PUNCT
ajst-15578	159	58	which	which	PRON
ajst-15578	159	59	proves	prove	VERB
ajst-15578	159	60	the	the	DET
ajst-15578	159	61	accuracy	accuracy	NOUN
ajst-15578	159	62	and	and	CCONJ
ajst-15578	159	63	timeliness	timeliness	NOUN
ajst-15578	159	64	of	of	ADP
ajst-15578	159	65	the	the	DET
ajst-15578	159	66	bilstm	bilstm	NOUN
ajst-15578	159	67	-	-	PUNCT
ajst-15578	159	68	bp	bp	PROPN
ajst-15578	159	69	neural	neural	ADJ
ajst-15578	159	70	network	network	NOUN
ajst-15578	159	71	model	model	NOUN
ajst-15578	159	72	in	in	ADP
ajst-15578	159	73	the	the	DET
ajst-15578	159	74	early	early	ADJ
ajst-15578	159	75	overflow	overflow	ADJ
ajst-15578	159	76	intelligent	intelligent	ADJ
ajst-15578	159	77	identification	identification	NOUN
ajst-15578	159	78	.	.	PUNCT
ajst-15578	160	1	the	the	DET
ajst-15578	160	2	use	use	NOUN
ajst-15578	160	3	of	of	ADP
ajst-15578	160	4	bilstm	bilstm	NOUN
ajst-15578	160	5	-	-	PUNCT
ajst-15578	160	6	bp	bp	PROPN
ajst-15578	160	7	neural	neural	ADJ
ajst-15578	160	8	network	network	NOUN
ajst-15578	160	9	model	model	NOUN
ajst-15578	160	10	for	for	ADP
ajst-15578	160	11	early	early	ADJ
ajst-15578	160	12	overflow	overflow	ADJ
ajst-15578	160	13	intelligent	intelligent	ADJ
ajst-15578	160	14	identification	identification	NOUN
ajst-15578	160	15	can	can	AUX
ajst-15578	160	16	provide	provide	VERB
ajst-15578	160	17	an	an	DET
ajst-15578	160	18	important	important	ADJ
ajst-15578	160	19	guarantee	guarantee	NOUN
ajst-15578	160	20	for	for	ADP
ajst-15578	160	21	the	the	DET
ajst-15578	160	22	safe	safe	ADJ
ajst-15578	160	23	and	and	CCONJ
ajst-15578	160	24	efficient	efficient	ADJ
ajst-15578	160	25	development	development	NOUN
ajst-15578	160	26	of	of	ADP
ajst-15578	160	27	oil	oil	NOUN
ajst-15578	160	28	and	and	CCONJ
ajst-15578	160	29	gas	gas	NOUN
ajst-15578	160	30	fields	field	NOUN
ajst-15578	160	31	,	,	PUNCT
ajst-15578	160	32	provide	provide	VERB
ajst-15578	160	33	a	a	DET
ajst-15578	160	34	key	key	ADJ
ajst-15578	160	35	theoretical	theoretical	ADJ
ajst-15578	160	36	model	model	NOUN
ajst-15578	160	37	for	for	ADP
ajst-15578	160	38	early	early	ADJ
ajst-15578	160	39	overflow	overflow	NOUN
ajst-15578	160	40	identification	identification	NOUN
ajst-15578	160	41	technology	technology	NOUN
ajst-15578	160	42	from	from	ADP
ajst-15578	160	43	traditional	traditional	ADJ
ajst-15578	160	44	identification	identification	NOUN
ajst-15578	160	45	to	to	ADP
ajst-15578	160	46	intelligent	intelligent	ADJ
ajst-15578	160	47	identification	identification	NOUN
ajst-15578	160	48	,	,	PUNCT
ajst-15578	160	49	and	and	CCONJ
ajst-15578	160	50	have	have	VERB
ajst-15578	160	51	positive	positive	ADJ
ajst-15578	160	52	significance	significance	NOUN
ajst-15578	160	53	for	for	ADP
ajst-15578	160	54	improving	improve	VERB
ajst-15578	160	55	the	the	DET
ajst-15578	160	56	level	level	NOUN
ajst-15578	160	57	of	of	ADP
ajst-15578	160	58	well	well	ADV
ajst-15578	160	59	control	control	NOUN
ajst-15578	160	60	safety	safety	NOUN
ajst-15578	160	61	monitoring	monitoring	NOUN
ajst-15578	160	62	and	and	CCONJ
ajst-15578	160	63	reducing	reduce	VERB
ajst-15578	160	64	drilling	drilling	NOUN
ajst-15578	160	65	safety	safety	NOUN
ajst-15578	160	66	risks	risk	NOUN
ajst-15578	160	67	.	.	PUNCT
ajst-15578	161	1	references	reference	NOUN
ajst-15578	161	2	[	[	X
ajst-15578	161	3	1	1	NUM
ajst-15578	161	4	]	]	X
ajst-15578	161	5	liang	liang	PROPN
ajst-15578	161	6	,	,	PUNCT
ajst-15578	161	7	h.;liu	h.;liu	PROPN
ajst-15578	161	8	,	,	PUNCT
ajst-15578	161	9	g.;gao	g.;gao	NOUN
ajst-15578	161	10	,	,	PUNCT
ajst-15578	161	11	j.;khan	j.;khan	PROPN
ajst-15578	161	12	,	,	PUNCT
ajst-15578	161	13	m.j	m.j	PROPN
ajst-15578	161	14	..	..	NOUN
ajst-15578	161	15	overflow	overflow	ADJ
ajst-15578	161	16	remote	remote	ADJ
ajst-15578	161	17	warning	warning	NOUN
ajst-15578	161	18	using	use	VERB
ajst-15578	161	19	improved	improve	VERB
ajst-15578	161	20	fuzzy	fuzzy	ADJ
ajst-15578	161	21	c	c	NOUN
ajst-15578	161	22	-	-	PUNCT
ajst-15578	161	23	means	means	NOUN
ajst-15578	161	24	clustering	cluster	VERB
ajst-15578	161	25	in	in	ADP
ajst-15578	161	26	iot	iot	ADJ
ajst-15578	161	27	monitoring	monitoring	NOUN
ajst-15578	161	28	system	system	NOUN
ajst-15578	161	29	based	base	VERB
ajst-15578	161	30	on	on	ADP
ajst-15578	161	31	multi	multi	ADJ
ajst-15578	161	32	-	-	ADJ
ajst-15578	161	33	access	access	ADJ
ajst-15578	161	34	edge	edge	NOUN
ajst-15578	161	35	computing[j].neural	computing[j].neural	ADJ
ajst-15578	161	36	computing	computing	NOUN
ajst-15578	161	37	and	and	CCONJ
ajst-15578	161	38	applications,2019,vol.32(19	applications,2019,vol.32(19	NOUN
ajst-15578	161	39	):	):	PUNCT
ajst-15578	161	40	1	1	NUM
ajst-15578	161	41	-	-	SYM
ajst-15578	161	42	12	12	NUM
ajst-15578	161	43	.	.	PUNCT
ajst-15578	162	1	[	[	X
ajst-15578	162	2	2	2	NUM
ajst-15578	162	3	]	]	X
ajst-15578	162	4	gao	gao	PROPN
ajst-15578	162	5	,	,	PUNCT
ajst-15578	162	6	yh	yh	PROPN
ajst-15578	162	7	(	(	PUNCT
ajst-15578	162	8	gao	gao	PROPN
ajst-15578	162	9	,	,	PUNCT
ajst-15578	162	10	yonghai);chen	yonghai);chen	PROPN
ajst-15578	162	11	,	,	PUNCT
ajst-15578	162	12	y	y	PROPN
ajst-15578	162	13	(	(	PUNCT
ajst-15578	162	14	chen	chen	PROPN
ajst-15578	162	15	,	,	PUNCT
ajst-15578	162	16	ye);zhao	ye);zhao	PROPN
ajst-15578	162	17	,	,	PUNCT
ajst-15578	162	18	xx	xx	PROPN
ajst-15578	162	19	(	(	PUNCT
ajst-15578	162	20	zhao	zhao	PROPN
ajst-15578	162	21	,	,	PUNCT
ajst-15578	162	22	xinxin);wang	xinxin);wang	PROPN
ajst-15578	162	23	,	,	PUNCT
ajst-15578	162	24	zy	zy	PROPN
ajst-15578	162	25	(	(	PUNCT
ajst-15578	162	26	wang	wang	PROPN
ajst-15578	162	27	,	,	PUNCT
ajst-15578	162	28	zhiyuan);li	zhiyuan);li	PROPN
ajst-15578	162	29	,	,	PUNCT
ajst-15578	162	30	h	h	PROPN
ajst-15578	162	31	(	(	PUNCT
ajst-15578	162	32	li	li	PROPN
ajst-15578	162	33	,	,	PUNCT
ajst-15578	162	34	hao);sun	hao);sun	PROPN
ajst-15578	162	35	,	,	PUNCT
ajst-15578	162	36	bj	bj	NOUN
ajst-15578	162	37	(	(	PUNCT
ajst-15578	162	38	sun	sun	NOUN
ajst-15578	162	39	,	,	PUNCT
ajst-15578	162	40	baojiang).risk	baojiang).risk	NOUN
ajst-15578	162	41	analysis	analysis	NOUN
ajst-15578	162	42	on	on	ADP
ajst-15578	162	43	the	the	DET
ajst-15578	162	44	blowout	blowout	NOUN
ajst-15578	162	45	in	in	ADP
ajst-15578	162	46	deepwater	deepwater	ADJ
ajst-15578	162	47	drilling	drilling	NOUN
ajst-15578	162	48	when	when	SCONJ
ajst-15578	162	49	encountering	encounter	VERB
ajst-15578	162	50	hydrate_bearing	hydrate_beare	VERB
ajst-15578	162	51	reservoir	reservoir	NOUN
ajst-15578	162	52	.	.	PUNCT
ajst-15578	163	1	[	[	X
ajst-15578	163	2	j	j	X
ajst-15578	163	3	]	]	X
ajst-15578	163	4	.	.	PUNCT
ajst-15578	164	1	ocean	ocean	PROPN
ajst-15578	164	2	engineering,2018,vol.170	engineering,2018,vol.170	PRON
ajst-15578	164	3	:	:	PUNCT
ajst-15578	164	4	1	1	NUM
ajst-15578	164	5	-	-	SYM
ajst-15578	164	6	5	5	NUM
ajst-15578	164	7	.	.	PUNCT
ajst-15578	165	1	[	[	X
ajst-15578	165	2	3	3	NUM
ajst-15578	165	3	]	]	X
ajst-15578	165	4	wei	wei	PROPN
ajst-15578	165	5	,	,	PUNCT
ajst-15578	165	6	l.;yang	l.;yang	PROPN
ajst-15578	165	7	,	,	PUNCT
ajst-15578	165	8	x.;xi	x.;xi	PROPN
ajst-15578	165	9	,	,	PUNCT
ajst-15578	165	10	c.;hong	c.;hong	PROPN
ajst-15578	165	11	,	,	PUNCT
ajst-15578	165	12	c.;yumin	c.;yumin	ADJ
ajst-15578	165	13	,	,	PUNCT
ajst-15578	165	14	l.;xueqing	l.;xueqing	PROPN
ajst-15578	165	15	,	,	PUNCT
ajst-15578	165	16	l	l	NOUN
ajst-15578	165	17	..	..	PUNCT
ajst-15578	165	18	research	research	NOUN
ajst-15578	165	19	and	and	CCONJ
ajst-15578	165	20	application	application	NOUN
ajst-15578	165	21	of	of	ADP
ajst-15578	165	22	downhole	downhole	NOUN
ajst-15578	165	23	blowout	blowout	NOUN
ajst-15578	165	24	prevention	prevention	NOUN
ajst-15578	165	25	system	system	NOUN
ajst-15578	165	26	while	while	SCONJ
ajst-15578	165	27	drilling	drill	VERB
ajst-15578	165	28	:	:	PUNCT
ajst-15578	165	29	a	a	DET
ajst-15578	165	30	review(review)[j].journal	review(review)[j].journal	NOUN
ajst-15578	165	31	of	of	ADP
ajst-15578	165	32	petroleum	petroleum	NOUN
ajst-15578	165	33	science	science	NOUN
ajst-15578	165	34	and	and	CCONJ
ajst-15578	165	35	engineering,2020,vol.188	engineering,2020,vol.188	NOUN
ajst-15578	165	36	:	:	PUNCT
ajst-15578	165	37	106882	106882	NUM
ajst-15578	165	38	.	.	PUNCT
ajst-15578	166	1	[	[	X
ajst-15578	166	2	4	4	NUM
ajst-15578	166	3	]	]	X
ajst-15578	166	4	abimbola	abimbola	PROPN
ajst-15578	166	5	,	,	PUNCT
ajst-15578	166	6	m.;khan	m.;khan	PRON
ajst-15578	166	7	,	,	PUNCT
ajst-15578	166	8	f.;khakzad	f.;khakzad	PROPN
ajst-15578	166	9	,	,	PUNCT
ajst-15578	166	10	n	n	CCONJ
ajst-15578	166	11	..	..	PUNCT
ajst-15578	166	12	dynamic	dynamic	ADJ
ajst-15578	166	13	safety	safety	NOUN
ajst-15578	166	14	risk	risk	NOUN
ajst-15578	166	15	analysis	analysis	NOUN
ajst-15578	166	16	of	of	ADP
ajst-15578	166	17	offshore	offshore	ADJ
ajst-15578	166	18	drilling(article)[j].journal	drilling(article)[j].journal	ADJ
ajst-15578	166	19	of	of	ADP
ajst-15578	166	20	loss	loss	NOUN
ajst-15578	166	21	prevention	prevention	NOUN
ajst-15578	166	22	in	in	ADP
ajst-15578	166	23	the	the	DET
ajst-15578	166	24	process	process	NOUN
ajst-15578	166	25	industries,2014,vol.30(1	industries,2014,vol.30(1	NOUN
ajst-15578	166	26	):	):	PUNCT
ajst-15578	166	27	74	74	NUM
ajst-15578	166	28	-	-	SYM
ajst-15578	166	29	85	85	NUM
ajst-15578	166	30	.	.	PUNCT
ajst-15578	167	1	[	[	X
ajst-15578	167	2	5	5	NUM
ajst-15578	167	3	]	]	X
ajst-15578	167	4	zhang	zhang	PROPN
ajst-15578	167	5	,	,	PUNCT
ajst-15578	167	6	zhi;sun	zhi;sun	PROPN
ajst-15578	167	7	,	,	PUNCT
ajst-15578	167	8	baojiang;wang	baojiang;wang	PROPN
ajst-15578	167	9	,	,	PUNCT
ajst-15578	167	10	zhiyuan;pan	zhiyuan;pan	PROPN
ajst-15578	167	11	,	,	PUNCT
ajst-15578	167	12	shaowei;lou	shaowei;lou	PROPN
ajst-15578	167	13	,	,	PUNCT
ajst-15578	167	14	wenqiang;sun	wenqiang;sun	PROPN
ajst-15578	167	15	,	,	PUNCT
ajst-15578	167	16	dalin.intelligent	dalin.intelligent	PROPN
ajst-15578	167	17	well	well	ADV
ajst-15578	167	18	killing	kill	VERB
ajst-15578	167	19	control	control	NOUN
ajst-15578	167	20	method	method	NOUN
ajst-15578	167	21	driven	drive	VERB
ajst-15578	167	22	by	by	ADP
ajst-15578	167	23	coupling	couple	VERB
ajst-15578	167	24	multiphase	multiphase	PROPN
ajst-15578	167	25	flow	flow	NOUN
ajst-15578	167	26	simulation	simulation	NOUN
ajst-15578	167	27	and	and	CCONJ
ajst-15578	167	28	real	real	ADJ
ajst-15578	167	29	-	-	PUNCT
ajst-15578	167	30	time	time	NOUN
ajst-15578	167	31	data	datum	NOUN
ajst-15578	167	32	.	.	PUNCT
ajst-15578	168	1	[	[	X
ajst-15578	168	2	j	j	X
ajst-15578	168	3	]	]	X
ajst-15578	168	4	.	.	PUNCT
ajst-15578	169	1	journal	journal	PROPN
ajst-15578	169	2	of	of	ADP
ajst-15578	169	3	petroleum	petroleum	NOUN
ajst-15578	169	4	science	science	PROPN
ajst-15578	169	5	&	&	CCONJ
ajst-15578	169	6	engineering	engineering	PROPN
ajst-15578	169	7	,	,	PUNCT
ajst-15578	169	8	2022	2022	NUM
ajst-15578	169	9	,	,	PUNCT
ajst-15578	169	10	vol.213	vol.213	NOUN
ajst-15578	169	11	:	:	PUNCT
ajst-15578	169	12	110337	110337	NUM
ajst-15578	169	13	.	.	PUNCT
ajst-15578	170	1	[	[	X
ajst-15578	170	2	6	6	NUM
ajst-15578	170	3	]	]	X
ajst-15578	170	4	liang	liang	PROPN
ajst-15578	170	5	,	,	PUNCT
ajst-15578	170	6	haibo	haibo	ADJ
ajst-15578	170	7	,	,	PUNCT
ajst-15578	170	8	(	(	PUNCT
ajst-15578	170	9	secondbo@126.com);zou	secondbo@126.com);zou	PROPN
ajst-15578	170	10	,	,	PUNCT
ajst-15578	170	11	jialing;liang	jialing;liang	PROPN
ajst-15578	170	12	,	,	PUNCT
ajst-15578	170	13	wenlong.an	wenlong.an	X
ajst-15578	170	14	early	early	ADJ
ajst-15578	170	15	intelligent	intelligent	ADJ
ajst-15578	170	16	diagnosis	diagnosis	NOUN
ajst-15578	170	17	model	model	NOUN
ajst-15578	170	18	for	for	ADP
ajst-15578	170	19	drilling	drilling	NOUN
ajst-15578	170	20	overflow	overflow	NOUN
ajst-15578	170	21	based	base	VERB
ajst-15578	170	22	on	on	ADP
ajst-15578	170	23	ga	ga	PROPN
ajst-15578	170	24	–	–	PUNCT
ajst-15578	170	25	bp	bp	PROPN
ajst-15578	170	26	algorithm[j].cluster	algorithm[j].cluster	PROPN
ajst-15578	170	27	computing	computing	NOUN
ajst-15578	170	28	,	,	PUNCT
ajst-15578	170	29	2019	2019	NUM
ajst-15578	170	30	,	,	PUNCT
ajst-15578	170	31	vol.22(5	vol.22(5	NOUN
ajst-15578	170	32	):	):	PUNCT
ajst-15578	170	33	10649	10649	NUM
ajst-15578	170	34	-	-	SYM
ajst-15578	170	35	10668	10668	NUM
ajst-15578	170	36	.	.	PUNCT
ajst-15578	171	1	[	[	X
ajst-15578	171	2	7	7	NUM
ajst-15578	171	3	]	]	X
ajst-15578	171	4	haibo	haibo	PROPN
ajst-15578	171	5	liang	liang	PROPN
ajst-15578	171	6	;	;	PUNCT
ajst-15578	171	7	haochen	haochen	PROPN
ajst-15578	171	8	han	han	PROPN
ajst-15578	171	9	;	;	PUNCT
ajst-15578	171	10	pengbo	pengbo	PROPN
ajst-15578	171	11	ni	ni	PROPN
ajst-15578	171	12	;	;	PUNCT
ajst-15578	171	13	yingjun	yingjun	PROPN
ajst-15578	171	14	jiang	jiang	PROPN
ajst-15578	171	15	.	.	PUNCT
ajst-15578	172	1	overflow	overflow	NOUN
ajst-15578	172	2	warning	warning	NOUN
ajst-15578	172	3	and	and	CCONJ
ajst-15578	172	4	remote	remote	ADJ
ajst-15578	172	5	monitoring	monitoring	NOUN
ajst-15578	172	6	technology	technology	NOUN
ajst-15578	172	7	based	base	VERB
ajst-15578	172	8	on	on	ADP
ajst-15578	172	9	improved	improve	VERB
ajst-15578	172	10	random	random	ADJ
ajst-15578	172	11	forest	forest	NOUN
ajst-15578	173	1	[	[	X
ajst-15578	173	2	j	j	X
ajst-15578	173	3	]	]	X
ajst-15578	173	4	.	.	PUNCT
ajst-15578	173	5	neural	neural	ADJ
ajst-15578	173	6	computing	computing	NOUN
ajst-15578	173	7	and	and	CCONJ
ajst-15578	173	8	applications	application	NOUN
ajst-15578	173	9	,	,	PUNCT
ajst-15578	173	10	2021	2021	NUM
ajst-15578	173	11	,	,	PUNCT
ajst-15578	173	12	vol.33(9	vol.33(9	NUM
ajst-15578	173	13	):	):	PUNCT
ajst-15578	173	14	4027	4027	NUM
ajst-15578	173	15	-	-	SYM
ajst-15578	173	16	4040	4040	NUM
ajst-15578	173	17	.	.	PUNCT
ajst-15578	174	1	[	[	X
ajst-15578	174	2	8	8	NUM
ajst-15578	174	3	]	]	X
ajst-15578	174	4	liang	liang	PROPN
ajst-15578	174	5	,	,	PUNCT
ajst-15578	174	6	haibo	haibo	ADJ
ajst-15578	174	7	,	,	PUNCT
ajst-15578	174	8	(	(	PUNCT
ajst-15578	174	9	secondbo@126.com	secondbo@126.com	NOUN
ajst-15578	174	10	)	)	PUNCT
ajst-15578	174	11	li	li	PROPN
ajst-15578	174	12	,	,	PUNCT
ajst-15578	174	13	guoliang	guoliang	PROPN
ajst-15578	174	14	liang	liang	PROPN
ajst-15578	174	15	,	,	PUNCT
ajst-15578	174	16	wenlong.intelligent	wenlong.intelligent	VERB
ajst-15578	174	17	early	early	ADJ
ajst-15578	174	18	warning	warning	NOUN
ajst-15578	174	19	model	model	NOUN
ajst-15578	174	20	of	of	ADP
ajst-15578	174	21	early	early	ADJ
ajst-15578	174	22	-	-	PUNCT
ajst-15578	174	23	stage	stage	NOUN
ajst-15578	174	24	overflow	overflow	NOUN
ajst-15578	174	25	based	base	VERB
ajst-15578	174	26	on	on	ADP
ajst-15578	174	27	dynamic	dynamic	ADJ
ajst-15578	174	28	clustering.[j].cluster	clustering.[j].cluster	NOUN
ajst-15578	174	29	computing	computing	NOUN
ajst-15578	174	30	,	,	PUNCT
ajst-15578	174	31	2019	2019	NUM
ajst-15578	174	32	,	,	PUNCT
ajst-15578	174	33	vol.22(1	vol.22(1	NOUN
ajst-15578	174	34	):	):	PUNCT
ajst-15578	174	35	481	481	NUM
ajst-15578	174	36	-	-	SYM
ajst-15578	174	37	492	492	NUM
ajst-15578	174	38	.	.	PUNCT
ajst-15578	175	1	[	[	X
ajst-15578	175	2	9	9	NUM
ajst-15578	175	3	]	]	SYM
ajst-15578	175	4	deng	deng	PROPN
ajst-15578	175	5	,	,	PUNCT
ajst-15578	175	6	h.x.;wei	h.x.;wei	PROPN
ajst-15578	175	7	,	,	PUNCT
ajst-15578	175	8	g.h.;li	g.h.;li	NOUN
ajst-15578	175	9	,	,	PUNCT
ajst-15578	175	10	j.l.;ge	j.l.;ge	NOUN
ajst-15578	175	11	,	,	PUNCT
ajst-15578	175	12	l.;lai	l.;lai	PROPN
ajst-15578	175	13	,	,	PUNCT
ajst-15578	175	14	x.;huang	x.;huang	PROPN
ajst-15578	175	15	,	,	PUNCT
ajst-15578	175	16	q	q	X
ajst-15578	175	17	..	..	PUNCT
ajst-15578	175	18	an	an	DET
ajst-15578	175	19	overflow	overflow	NOUN
ajst-15578	175	20	intelligent	intelligent	ADJ
ajst-15578	175	21	early	early	ADJ
ajst-15578	175	22	-	-	PUNCT
ajst-15578	175	23	warning	warning	NOUN
ajst-15578	175	24	model	model	NOUN
ajst-15578	175	25	based	base	VERB
ajst-15578	175	26	on	on	ADP
ajst-15578	175	27	downhole	downhole	NOUN
ajst-15578	175	28	parameters	parameter	NOUN
ajst-15578	175	29	measurement	measurement	VERB
ajst-15578	176	1	[	[	X
ajst-15578	176	2	j	j	X
ajst-15578	176	3	]	]	X
ajst-15578	176	4	.	.	PUNCT
ajst-15578	177	1	proceedings	proceeding	NOUN
ajst-15578	177	2	of	of	ADP
ajst-15578	177	3	the	the	DET
ajst-15578	177	4	spie	spie	NOUN
ajst-15578	177	5	,	,	PUNCT
ajst-15578	177	6	2018	2018	NUM
ajst-15578	177	7	,	,	PUNCT
ajst-15578	177	8	vol.10836	vol.10836	NUM
ajst-15578	177	9	:	:	PUNCT
ajst-15578	177	10	1083624	1083624	NUM
ajst-15578	177	11	.	.	PUNCT
ajst-15578	178	1	[	[	X
ajst-15578	178	2	10	10	NUM
ajst-15578	178	3	]	]	X
ajst-15578	178	4	liang	liang	PROPN
ajst-15578	178	5	ge;dan	ge;dan	PROPN
ajst-15578	178	6	li;qi	li;qi	PROPN
ajst-15578	178	7	huang;guiyun	huang;guiyun	PROPN
ajst-15578	178	8	tian;guohui	tian;guohui	PROPN
ajst-15578	178	9	wei;junaid	wei;junaid	PUNCT
ajst-15578	178	10	ahmed.electrodes	ahmed.electrode	VERB
ajst-15578	178	11	optimization	optimization	NOUN
ajst-15578	178	12	of	of	ADP
ajst-15578	178	13	an	an	DET
ajst-15578	178	14	annular	annular	ADJ
ajst-15578	178	15	flow	flow	NOUN
ajst-15578	178	16	electromagnetic	electromagnetic	NOUN
ajst-15578	178	17	measurement	measurement	NOUN
ajst-15578	178	18	system	system	NOUN
ajst-15578	178	19	for	for	ADP
ajst-15578	178	20	drilling	drill	VERB
ajst-15578	178	21	engineering	engineering	NOUN
ajst-15578	178	22	[	[	X
ajst-15578	178	23	j	j	X
ajst-15578	178	24	]	]	X
ajst-15578	178	25	.	.	PUNCT
ajst-15578	179	1	ieee	ieee	NOUN
ajst-15578	179	2	access	access	NOUN
ajst-15578	179	3	,	,	PUNCT
ajst-15578	179	4	2020	2020	NUM
ajst-15578	179	5	,	,	PUNCT
ajst-15578	179	6	vol.8	vol.8	PROPN
ajst-15578	179	7	:	:	PUNCT
ajst-15578	179	8	138481	138481	NUM
ajst-15578	179	9	-	-	SYM
ajst-15578	179	10	138492	138492	NUM
ajst-15578	179	11	.	.	PUNCT
ajst-15578	180	1	[	[	X
ajst-15578	180	2	11	11	NUM
ajst-15578	180	3	]	]	PUNCT
ajst-15578	180	4	wan	wan	PROPN
ajst-15578	180	5	yi;wei	yi;wei	PROPN
ajst-15578	180	6	liu;jiasheng	liu;jiasheng	PROPN
ajst-15578	180	7	fu;lili	fu;lili	NOUN
ajst-15578	180	8	he;xiaosong	he;xiaosong	ADP
ajst-15578	180	9	han.an	han.an	NOUN
ajst-15578	180	10	improved	improve	VERB
ajst-15578	180	11	transformer	transformer	NOUN
ajst-15578	180	12	framework	framework	NOUN
ajst-15578	180	13	for	for	ADP
ajst-15578	180	14	well	well	ADV
ajst-15578	180	15	-	-	PUNCT
ajst-15578	180	16	overflow	overflow	NOUN
ajst-15578	180	17	early	early	ADJ
ajst-15578	180	18	detection	detection	NOUN
ajst-15578	180	19	via	via	ADP
ajst-15578	180	20	self	self	NOUN
ajst-15578	180	21	-	-	PUNCT
ajst-15578	180	22	supervised	supervise	VERB
ajst-15578	180	23	learning	learning	NOUN
ajst-15578	180	24	[	[	X
ajst-15578	180	25	j	j	X
ajst-15578	180	26	]	]	X
ajst-15578	180	27	.	.	PUNCT
ajst-15578	181	1	energies	energy	NOUN
ajst-15578	181	2	,	,	PUNCT
ajst-15578	181	3	2022	2022	NUM
ajst-15578	181	4	,	,	PUNCT
ajst-15578	181	5	vol.15	vol.15	NOUN
ajst-15578	181	6	(	(	PUNCT
ajst-15578	181	7	8799	8799	NUM
ajst-15578	181	8	):	):	PUNCT
ajst-15578	181	9	8799	8799	NUM
ajst-15578	181	10	.	.	PUNCT
ajst-15578	182	1	[	[	X
ajst-15578	182	2	12	12	NUM
ajst-15578	182	3	]	]	X
ajst-15578	182	4	xiangwei	xiangwei	PROPN
ajst-15578	182	5	lin	lin	PROPN
ajst-15578	182	6	,	,	PUNCT
ajst-15578	182	7	;	;	PUNCT
ajst-15578	182	8	hongji	hongji	PROPN
ajst-15578	182	9	shi	shi	PROPN
ajst-15578	182	10	,	,	PUNCT
ajst-15578	182	11	;	;	PUNCT
ajst-15578	182	12	xiaozhou	xiaozhou	PROPN
ajst-15578	182	13	fan	fan	PROPN
ajst-15578	182	14	,	,	PUNCT
ajst-15578	182	15	;	;	PUNCT
ajst-15578	182	16	jiaxin	jiaxin	PROPN
ajst-15578	182	17	wang	wang	PROPN
ajst-15578	182	18	,	,	PUNCT
ajst-15578	182	19	;	;	PUNCT
ajst-15578	182	20	zhenyu	zhenyu	PROPN
ajst-15578	182	21	fu	fu	NOUN
ajst-15578	182	22	,	,	PUNCT
ajst-15578	182	23	;	;	PUNCT
ajst-15578	182	24	yuqing	yuqe	VERB
ajst-15578	182	25	chen	chen	PROPN
ajst-15578	182	26	,	,	PUNCT
ajst-15578	182	27	;	;	PUNCT
ajst-15578	182	28	siping	sip	VERB
ajst-15578	182	29	chen,;xin	chen,;xin	PROPN
ajst-15578	182	30	chen	chen	PROPN
ajst-15578	182	31	,	,	PUNCT
ajst-15578	182	32	and	and	CCONJ
ajst-15578	182	33	mian	mian	ADJ
ajst-15578	182	34	chen.handheld	chen.handheld	VERB
ajst-15578	182	35	interventional	interventional	ADJ
ajst-15578	182	36	ultrasound	ultrasound	NOUN
ajst-15578	182	37	/	/	SYM
ajst-15578	182	38	photoacoustic	photoacoustic	ADJ
ajst-15578	182	39	puncture	puncture	NOUN
ajst-15578	182	40	needle	needle	NOUN
ajst-15578	182	41	navigation	navigation	NOUN
ajst-15578	182	42	based	base	VERB
ajst-15578	182	43	on	on	ADP
ajst-15578	182	44	deep	deep	ADJ
ajst-15578	182	45	learning	learning	NOUN
ajst-15578	182	46	segmentation	segmentation	NOUN
ajst-15578	183	1	[	[	X
ajst-15578	183	2	j	j	X
ajst-15578	183	3	]	]	X
ajst-15578	183	4	.	.	PUNCT
ajst-15578	184	1	biomedical	biomedical	ADJ
ajst-15578	184	2	optics	optic	NOUN
ajst-15578	184	3	express	express	VERB
ajst-15578	184	4	,	,	PUNCT
ajst-15578	184	5	2023	2023	NUM
ajst-15578	184	6	,	,	PUNCT
ajst-15578	184	7	vol.14	vol.14	NOUN
ajst-15578	184	8	(	(	PUNCT
ajst-15578	184	9	11	11	NUM
ajst-15578	184	10	):	):	PUNCT
ajst-15578	184	11	5979	5979	NUM
ajst-15578	184	12	-	-	SYM
ajst-15578	184	13	5993	5993	NUM
ajst-15578	184	14	.	.	PUNCT
ajst-15578	185	1	[	[	X
ajst-15578	185	2	13	13	NUM
ajst-15578	185	3	]	]	PUNCT
ajst-15578	185	4	qishuai	qishuai	PROPN
ajst-15578	185	5	yin;jin	yin;jin	PROPN
ajst-15578	185	6	yang;ali	yang;ali	PROPN
ajst-15578	185	7	takbiri	takbiri	NOUN
ajst-15578	185	8	borujeni;shanshan	borujeni;shanshan	NOUN
ajst-15578	185	9	shi;ting	shi;te	VERB
ajst-15578	185	10	sun;yuming	sun;yume	VERB
ajst-15578	185	11	yang;yanan	yang;yanan	PROPN
ajst-15578	185	12	geng;qiang	geng;qiang	NOUN
ajst-15578	185	13	xia;xiaodong	xia;xiaodong	PROPN
ajst-15578	186	1	wu;xin	wu;xin	PROPN
ajst-15578	186	2	zhao.intelligent	zhao.intelligent	NUM
ajst-15578	186	3	early	early	ADJ
ajst-15578	186	4	kick	kick	NOUN
ajst-15578	186	5	detection	detection	NOUN
ajst-15578	186	6	in	in	ADP
ajst-15578	186	7	ultra	ultra	ADJ
ajst-15578	186	8	-	-	ADJ
ajst-15578	186	9	deepwater	deepwater	ADJ
ajst-15578	186	10	high	high	ADJ
ajst-15578	186	11	-	-	PUNCT
ajst-15578	186	12	temperature	temperature	NOUN
ajst-15578	186	13	high	high	ADJ
ajst-15578	186	14	-	-	PUNCT
ajst-15578	186	15	pressure	pressure	NOUN
ajst-15578	186	16	(	(	PUNCT
ajst-15578	186	17	hpht	hpht	NOUN
ajst-15578	186	18	)	)	PUNCT
ajst-15578	186	19	wells	well	NOUN
ajst-15578	186	20	based	base	VERB
ajst-15578	186	21	on	on	ADP
ajst-15578	186	22	big	big	ADJ
ajst-15578	186	23	data	datum	NOUN
ajst-15578	186	24	technology[a].the	technology[a].the	DET
ajst-15578	186	25	29th	29th	ADJ
ajst-15578	186	26	international	international	ADJ
ajst-15578	186	27	ocean	ocean	NOUN
ajst-15578	186	28	and	and	CCONJ
ajst-15578	186	29	polar	polar	ADJ
ajst-15578	186	30	engineering	engineering	NOUN
ajst-15578	186	31	conference[c],2019	conference[c],2019	NOUN
ajst-15578	186	32	.	.	PUNCT
ajst-15578	187	1	[	[	X
ajst-15578	187	2	14	14	NUM
ajst-15578	187	3	]	]	X
ajst-15578	187	4	mu	mu	X
ajst-15578	187	5	li;hengrui	li;hengrui	X
ajst-15578	187	6	zhang;qing	zhang;qing	PROPN
ajst-15578	187	7	zhao;wei	zhao;wei	PROPN
ajst-15578	187	8	liu;xianzhi	liu;xianzhi	PROPN
ajst-15578	187	9	song;yangyang	song;yangyang	PROPN
ajst-15578	187	10	ji;jiangshuai	ji;jiangshuai	PROPN
ajst-15578	187	11	wang	wang	PROPN
ajst-15578	187	12	.	.	PUNCT
ajst-15578	188	1	a	a	DET
ajst-15578	188	2	new	new	ADJ
ajst-15578	188	3	method	method	NOUN
ajst-15578	188	4	for	for	ADP
ajst-15578	188	5	intelligent	intelligent	ADJ
ajst-15578	188	6	prediction	prediction	NOUN
ajst-15578	188	7	of	of	ADP
ajst-15578	188	8	drilling	drilling	NOUN
ajst-15578	188	9	overflow	overflow	NOUN
ajst-15578	188	10	and	and	CCONJ
ajst-15578	188	11	leakage	leakage	NOUN
ajst-15578	188	12	based	base	VERB
ajst-15578	188	13	on	on	ADP
ajst-15578	188	14	multi	multi	ADJ
ajst-15578	188	15	-	-	ADJ
ajst-15578	188	16	parameter	parameter	ADJ
ajst-15578	188	17	fusion	fusion	NOUN
ajst-15578	188	18	[	[	X
ajst-15578	188	19	j	j	X
ajst-15578	188	20	]	]	X
ajst-15578	188	21	.	.	PUNCT
ajst-15578	189	1	energies	energy	NOUN
ajst-15578	189	2	,	,	PUNCT
ajst-15578	189	3	2022,vol.15(5988	2022,vol.15(5988	NUM
ajst-15578	189	4	):	):	PUNCT
ajst-15578	189	5	5988	5988	NUM
ajst-15578	189	6	.	.	PUNCT
ajst-15578	190	1	[	[	X
ajst-15578	190	2	15	15	NUM
ajst-15578	190	3	]	]	X
ajst-15578	190	4	alex	alex	PROPN
ajst-15578	190	5	graves;jürgen	graves;jürgen	PROPN
ajst-15578	190	6	schmidhuber.framewise	schmidhuber.framewise	PROPN
ajst-15578	190	7	phoneme	phoneme	NOUN
ajst-15578	190	8	classification	classification	NOUN
ajst-15578	190	9	with	with	ADP
ajst-15578	190	10	bidirectional	bidirectional	ADJ
ajst-15578	190	11	lstm	lstm	NOUN
ajst-15578	190	12	and	and	CCONJ
ajst-15578	190	13	other	other	ADJ
ajst-15578	190	14	neural	neural	ADJ
ajst-15578	190	15	network	network	NOUN
ajst-15578	190	16	architectures.[j].neural	architectures.[j].neural	ADJ
ajst-15578	190	17	networks	network	NOUN
ajst-15578	190	18	:	:	PUNCT
ajst-15578	190	19	the	the	DET
ajst-15578	190	20	official	official	ADJ
ajst-15578	190	21	journal	journal	NOUN
ajst-15578	190	22	of	of	ADP
ajst-15578	190	23	the	the	DET
ajst-15578	190	24	international	international	ADJ
ajst-15578	190	25	neural	neural	ADJ
ajst-15578	190	26	network	network	NOUN
ajst-15578	190	27	society,2005,vol.18	society,2005,vol.18	PROPN
ajst-15578	190	28	:	:	PUNCT
ajst-15578	190	29	602610	602610	NUM
ajst-15578	190	30	.	.	PUNCT
ajst-15578	191	1	[	[	X
ajst-15578	191	2	16	16	NUM
ajst-15578	191	3	]	]	SYM
ajst-15578	191	4	haibo	haibo	NOUN
ajst-15578	191	5	liang;haifeng	liang;haifeng	PROPN
ajst-15578	191	6	chen;jinhong	chen;jinhong	PROPN
ajst-15578	191	7	guo;xing	guo;xe	VERB
ajst-15578	191	8	zuo.detection	zuo.detection	NOUN
ajst-15578	191	9	and	and	CCONJ
ajst-15578	191	10	identification	identification	NOUN
ajst-15578	191	11	method	method	NOUN
ajst-15578	191	12	of	of	ADP
ajst-15578	191	13	drilling	drill	VERB
ajst-15578	191	14	total	total	ADJ
ajst-15578	191	15	hydrocarbon	hydrocarbon	NOUN
ajst-15578	191	16	gas	gas	NOUN
ajst-15578	191	17	based	base	VERB
ajst-15578	191	18	on	on	ADP
ajst-15578	191	19	infrared	infrared	ADJ
ajst-15578	191	20	spectroscopy	spectroscopy	NOUN
ajst-15578	191	21	and	and	CCONJ
ajst-15578	191	22	kl+bp	kl+bp	NOUN
ajst-15578	191	23	-	-	PUNCT
ajst-15578	191	24	rbf	rbf	PROPN
ajst-15578	191	25	algorithm	algorithm	NOUN
ajst-15578	191	26	[	[	X
ajst-15578	191	27	j	j	X
ajst-15578	191	28	]	]	X
ajst-15578	191	29	.	.	PUNCT
ajst-15578	192	1	ieee	ieee	NOUN
ajst-15578	192	2	transactions	transaction	NOUN
ajst-15578	192	3	on	on	ADP
ajst-15578	192	4	instrumentation	instrumentation	NOUN
ajst-15578	192	5	and	and	CCONJ
ajst-15578	192	6	measurement	measurement	NOUN
ajst-15578	192	7	,	,	PUNCT
ajst-15578	192	8	2022	2022	NUM
ajst-15578	192	9	,	,	PUNCT
ajst-15578	192	10	vol.71	vol.71	VERB
ajst-15578	192	11	:	:	PUNCT
ajst-15578	192	12	1	1	NUM
ajst-15578	192	13	-	-	SYM
ajst-15578	192	14	10	10	NUM
ajst-15578	192	15	.	.	PUNCT