id	sid	tid	token	lemma	pos
ajst-28811	1	1	academic	academic	ADJ
ajst-28811	1	2	journal	journal	NOUN
ajst-28811	1	3	of	of	ADP
ajst-28811	1	4	science	science	NOUN
ajst-28811	1	5	and	and	CCONJ
ajst-28811	1	6	technology	technology	NOUN
ajst-28811	1	7	issn	issn	NOUN
ajst-28811	1	8	:	:	PUNCT
ajst-28811	1	9	2771	2771	NUM
ajst-28811	1	10	-	-	SYM
ajst-28811	1	11	3032	3032	NUM
ajst-28811	1	12	|	|	NOUN
ajst-28811	1	13	vol	vol	NOUN
ajst-28811	1	14	.	.	PROPN
ajst-28811	1	15	13	13	NUM
ajst-28811	1	16	,	,	PUNCT
ajst-28811	1	17	no	no	INTJ
ajst-28811	1	18	.	.	NOUN
ajst-28811	1	19	3	3	NUM
ajst-28811	1	20	,	,	PUNCT
ajst-28811	1	21	2024	2024	NUM
ajst-28811	1	22	232	232	NUM
ajst-28811	1	23	shale	shale	NOUN
ajst-28811	1	24	gas	gas	NOUN
ajst-28811	1	25	fracturing	fracturing	NOUN
ajst-28811	1	26	construction	construction	NOUN
ajst-28811	1	27	parameter	parameter	NOUN
ajst-28811	1	28	optimization	optimization	NOUN
ajst-28811	1	29	based	base	VERB
ajst-28811	1	30	on	on	ADP
ajst-28811	1	31	ssa‐xgboost	ssa‐xgboost	ADJ
ajst-28811	1	32	jixin	jixin	PROPN
ajst-28811	1	33	dai	dai	PROPN
ajst-28811	1	34	,	,	PUNCT
ajst-28811	1	35	he	he	PRON
ajst-28811	1	36	zhang	zhang	PROPN
ajst-28811	1	37	school	school	PROPN
ajst-28811	1	38	of	of	ADP
ajst-28811	1	39	mechatronic	mechatronic	ADJ
ajst-28811	1	40	and	and	CCONJ
ajst-28811	1	41	electrical	electrical	ADJ
ajst-28811	1	42	engineering	engineering	NOUN
ajst-28811	1	43	,	,	PUNCT
ajst-28811	1	44	southwest	southwest	ADJ
ajst-28811	1	45	petroleum	petroleum	PROPN
ajst-28811	1	46	university	university	PROPN
ajst-28811	1	47	,	,	PUNCT
ajst-28811	1	48	chengdu	chengdu	PROPN
ajst-28811	1	49	610500	610500	NUM
ajst-28811	1	50	,	,	PUNCT
ajst-28811	1	51	china	china	PROPN
ajst-28811	1	52	abstract	abstract	NOUN
ajst-28811	1	53	:	:	PUNCT
ajst-28811	1	54	to	to	PART
ajst-28811	1	55	address	address	VERB
ajst-28811	1	56	the	the	DET
ajst-28811	1	57	challenges	challenge	NOUN
ajst-28811	1	58	of	of	ADP
ajst-28811	1	59	poor	poor	ADJ
ajst-28811	1	60	model	model	NOUN
ajst-28811	1	61	performance	performance	NOUN
ajst-28811	1	62	,	,	PUNCT
ajst-28811	1	63	low	low	ADJ
ajst-28811	1	64	prediction	prediction	NOUN
ajst-28811	1	65	accuracy	accuracy	NOUN
ajst-28811	1	66	,	,	PUNCT
ajst-28811	1	67	and	and	CCONJ
ajst-28811	1	68	suboptimal	suboptimal	ADJ
ajst-28811	1	69	application	application	NOUN
ajst-28811	1	70	of	of	ADP
ajst-28811	1	71	intelligent	intelligent	ADJ
ajst-28811	1	72	optimization	optimization	NOUN
ajst-28811	1	73	algorithms	algorithm	NOUN
ajst-28811	1	74	for	for	ADP
ajst-28811	1	75	hydraulic	hydraulic	ADJ
ajst-28811	1	76	fracturing	fracturing	NOUN
ajst-28811	1	77	parameter	parameter	NOUN
ajst-28811	1	78	optimization	optimization	NOUN
ajst-28811	1	79	in	in	ADP
ajst-28811	1	80	shale	shale	NOUN
ajst-28811	1	81	gas	gas	NOUN
ajst-28811	1	82	production	production	NOUN
ajst-28811	1	83	,	,	PUNCT
ajst-28811	1	84	this	this	DET
ajst-28811	1	85	study	study	NOUN
ajst-28811	1	86	proposes	propose	VERB
ajst-28811	1	87	a	a	DET
ajst-28811	1	88	novel	novel	ADJ
ajst-28811	1	89	optimization	optimization	NOUN
ajst-28811	1	90	method	method	NOUN
ajst-28811	1	91	based	base	VERB
ajst-28811	1	92	on	on	ADP
ajst-28811	1	93	the	the	DET
ajst-28811	1	94	ssa	ssa	NOUN
ajst-28811	1	95	-	-	PUNCT
ajst-28811	1	96	xgboost	xgboost	NOUN
ajst-28811	1	97	algorithm	algorithm	NOUN
ajst-28811	1	98	.	.	PUNCT
ajst-28811	2	1	first	first	ADV
ajst-28811	2	2	,	,	PUNCT
ajst-28811	2	3	using	use	VERB
ajst-28811	2	4	production	production	NOUN
ajst-28811	2	5	data	datum	NOUN
ajst-28811	2	6	from	from	ADP
ajst-28811	2	7	120	120	NUM
ajst-28811	2	8	wells	well	NOUN
ajst-28811	2	9	with	with	ADP
ajst-28811	2	10	complete	complete	ADJ
ajst-28811	2	11	records	record	NOUN
ajst-28811	2	12	in	in	ADP
ajst-28811	2	13	the	the	DET
ajst-28811	2	14	y	y	PROPN
ajst-28811	2	15	block	block	NOUN
ajst-28811	2	16	,	,	PUNCT
ajst-28811	2	17	grey	grey	ADJ
ajst-28811	2	18	relational	relational	ADJ
ajst-28811	2	19	analysis	analysis	NOUN
ajst-28811	2	20	(	(	PUNCT
ajst-28811	2	21	gra	gra	PROPN
ajst-28811	2	22	)	)	PUNCT
ajst-28811	2	23	was	be	AUX
ajst-28811	2	24	employed	employ	VERB
ajst-28811	2	25	to	to	PART
ajst-28811	2	26	reduce	reduce	VERB
ajst-28811	2	27	dimensionality	dimensionality	NOUN
ajst-28811	2	28	among	among	ADP
ajst-28811	2	29	14	14	NUM
ajst-28811	2	30	factors	factor	NOUN
ajst-28811	2	31	affecting	affect	VERB
ajst-28811	2	32	fracturing	fracturing	NOUN
ajst-28811	2	33	performance	performance	NOUN
ajst-28811	2	34	,	,	PUNCT
ajst-28811	2	35	resulting	result	VERB
ajst-28811	2	36	in	in	ADP
ajst-28811	2	37	the	the	DET
ajst-28811	2	38	selection	selection	NOUN
ajst-28811	2	39	of	of	ADP
ajst-28811	2	40	nine	nine	NUM
ajst-28811	2	41	primary	primary	ADJ
ajst-28811	2	42	controlling	controlling	NOUN
ajst-28811	2	43	factors	factor	NOUN
ajst-28811	2	44	.	.	PUNCT
ajst-28811	3	1	based	base	VERB
ajst-28811	3	2	on	on	ADP
ajst-28811	3	3	the	the	DET
ajst-28811	3	4	mapping	mapping	NOUN
ajst-28811	3	5	relationship	relationship	NOUN
ajst-28811	3	6	between	between	ADP
ajst-28811	3	7	these	these	DET
ajst-28811	3	8	controlling	control	VERB
ajst-28811	3	9	factors	factor	NOUN
ajst-28811	3	10	and	and	CCONJ
ajst-28811	3	11	the	the	DET
ajst-28811	3	12	fracturing	fracturing	NOUN
ajst-28811	3	13	performance	performance	NOUN
ajst-28811	3	14	evaluation	evaluation	NOUN
ajst-28811	3	15	index	index	NOUN
ajst-28811	3	16	(	(	PUNCT
ajst-28811	3	17	daily	daily	ADJ
ajst-28811	3	18	gas	gas	NOUN
ajst-28811	3	19	production	production	NOUN
ajst-28811	3	20	)	)	PUNCT
ajst-28811	3	21	,	,	PUNCT
ajst-28811	3	22	the	the	DET
ajst-28811	3	23	sparrow	sparrow	ADJ
ajst-28811	3	24	search	search	NOUN
ajst-28811	3	25	algorithm	algorithm	NOUN
ajst-28811	3	26	(	(	PUNCT
ajst-28811	3	27	ssa	ssa	NOUN
ajst-28811	3	28	)	)	PUNCT
ajst-28811	3	29	was	be	AUX
ajst-28811	3	30	applied	apply	VERB
ajst-28811	3	31	to	to	PART
ajst-28811	3	32	optimize	optimize	VERB
ajst-28811	3	33	the	the	DET
ajst-28811	3	34	hyperparameters	hyperparameter	NOUN
ajst-28811	3	35	of	of	ADP
ajst-28811	3	36	the	the	DET
ajst-28811	3	37	extreme	extreme	ADJ
ajst-28811	3	38	gradient	gradient	NOUN
ajst-28811	3	39	boosting	boost	VERB
ajst-28811	3	40	(	(	PUNCT
ajst-28811	3	41	xgboost	xgboost	ADJ
ajst-28811	3	42	)	)	PUNCT
ajst-28811	3	43	model	model	NOUN
ajst-28811	3	44	.	.	PUNCT
ajst-28811	4	1	the	the	DET
ajst-28811	4	2	resulting	result	VERB
ajst-28811	4	3	ssaxgboost	ssaxgboost	NOUN
ajst-28811	4	4	-	-	PUNCT
ajst-28811	4	5	based	base	VERB
ajst-28811	4	6	shale	shale	NOUN
ajst-28811	4	7	gas	gas	NOUN
ajst-28811	4	8	production	production	NOUN
ajst-28811	4	9	prediction	prediction	NOUN
ajst-28811	4	10	model	model	NOUN
ajst-28811	4	11	improved	improve	VERB
ajst-28811	4	12	the	the	DET
ajst-28811	4	13	coefficient	coefficient	NOUN
ajst-28811	4	14	of	of	ADP
ajst-28811	4	15	determination	determination	NOUN
ajst-28811	4	16	(	(	PUNCT
ajst-28811	4	17	r2	r2	PROPN
ajst-28811	4	18	)	)	PUNCT
ajst-28811	4	19	by	by	ADP
ajst-28811	4	20	5.6	5.6	NUM
ajst-28811	4	21	%	%	NOUN
ajst-28811	4	22	compared	compare	VERB
ajst-28811	4	23	to	to	ADP
ajst-28811	4	24	the	the	DET
ajst-28811	4	25	original	original	ADJ
ajst-28811	4	26	model	model	NOUN
ajst-28811	4	27	,	,	PUNCT
ajst-28811	4	28	achieving	achieve	VERB
ajst-28811	4	29	significantly	significantly	ADV
ajst-28811	4	30	enhanced	enhance	VERB
ajst-28811	4	31	prediction	prediction	NOUN
ajst-28811	4	32	accuracy	accuracy	NOUN
ajst-28811	4	33	and	and	CCONJ
ajst-28811	4	34	outperforming	outperform	VERB
ajst-28811	4	35	existing	exist	VERB
ajst-28811	4	36	models	model	NOUN
ajst-28811	4	37	in	in	ADP
ajst-28811	4	38	the	the	DET
ajst-28811	4	39	field	field	NOUN
ajst-28811	4	40	.	.	PUNCT
ajst-28811	5	1	finally	finally	ADV
ajst-28811	5	2	,	,	PUNCT
ajst-28811	5	3	based	base	VERB
ajst-28811	5	4	on	on	ADP
ajst-28811	5	5	the	the	DET
ajst-28811	5	6	production	production	NOUN
ajst-28811	5	7	predictions	prediction	NOUN
ajst-28811	5	8	of	of	ADP
ajst-28811	5	9	the	the	DET
ajst-28811	5	10	optimized	optimize	VERB
ajst-28811	5	11	model	model	NOUN
ajst-28811	5	12	,	,	PUNCT
ajst-28811	5	13	the	the	DET
ajst-28811	5	14	optimal	optimal	ADJ
ajst-28811	5	15	parameter	parameter	NOUN
ajst-28811	5	16	ranges	range	VERB
ajst-28811	5	17	for	for	ADP
ajst-28811	5	18	hydraulic	hydraulic	ADJ
ajst-28811	5	19	fracturing	fracturing	NOUN
ajst-28811	5	20	were	be	AUX
ajst-28811	5	21	determined	determine	VERB
ajst-28811	5	22	,	,	PUNCT
ajst-28811	5	23	yielding	yield	VERB
ajst-28811	5	24	normalized	normalize	VERB
ajst-28811	5	25	daily	daily	ADJ
ajst-28811	5	26	gas	gas	NOUN
ajst-28811	5	27	production	production	NOUN
ajst-28811	5	28	27.50	27.50	NUM
ajst-28811	5	29	%	%	NOUN
ajst-28811	5	30	higher	high	ADJ
ajst-28811	5	31	than	than	ADP
ajst-28811	5	32	that	that	PRON
ajst-28811	5	33	of	of	ADP
ajst-28811	5	34	benchmark	benchmark	NOUN
ajst-28811	5	35	wells	well	NOUN
ajst-28811	5	36	.	.	PUNCT
ajst-28811	6	1	these	these	DET
ajst-28811	6	2	findings	finding	NOUN
ajst-28811	6	3	demonstrate	demonstrate	VERB
ajst-28811	6	4	the	the	DET
ajst-28811	6	5	rationality	rationality	NOUN
ajst-28811	6	6	and	and	CCONJ
ajst-28811	6	7	accuracy	accuracy	NOUN
ajst-28811	6	8	of	of	ADP
ajst-28811	6	9	the	the	DET
ajst-28811	6	10	proposed	propose	VERB
ajst-28811	6	11	optimization	optimization	NOUN
ajst-28811	6	12	approach	approach	NOUN
ajst-28811	6	13	,	,	PUNCT
ajst-28811	6	14	providing	provide	VERB
ajst-28811	6	15	valuable	valuable	ADJ
ajst-28811	6	16	reference	reference	NOUN
ajst-28811	6	17	for	for	ADP
ajst-28811	6	18	on	on	ADP
ajst-28811	6	19	-	-	PUNCT
ajst-28811	6	20	site	site	NOUN
ajst-28811	6	21	fracturing	fracturing	NOUN
ajst-28811	6	22	parameter	parameter	NOUN
ajst-28811	6	23	design	design	NOUN
ajst-28811	6	24	.	.	PUNCT
ajst-28811	7	1	keywords	keyword	NOUN
ajst-28811	7	2	:	:	PUNCT
ajst-28811	7	3	hydraulic	hydraulic	ADJ
ajst-28811	7	4	fracturing	fracturing	NOUN
ajst-28811	7	5	;	;	PUNCT
ajst-28811	7	6	grey	grey	ADJ
ajst-28811	7	7	relational	relational	ADJ
ajst-28811	7	8	analysis	analysis	NOUN
ajst-28811	7	9	;	;	PUNCT
ajst-28811	7	10	sparrow	sparrow	NOUN
ajst-28811	7	11	search	search	NOUN
ajst-28811	7	12	algorithm	algorithm	NOUN
ajst-28811	7	13	;	;	PUNCT
ajst-28811	7	14	extreme	extreme	ADJ
ajst-28811	7	15	gradient	gradient	NOUN
ajst-28811	7	16	boosting	boosting	NOUN
ajst-28811	7	17	;	;	PUNCT
ajst-28811	7	18	production	production	NOUN
ajst-28811	7	19	prediction	prediction	NOUN
ajst-28811	7	20	;	;	PUNCT
ajst-28811	7	21	parameter	parameter	NOUN
ajst-28811	7	22	optimization	optimization	NOUN
ajst-28811	7	23	.	.	PUNCT
ajst-28811	8	1	1	1	X
ajst-28811	8	2	.	.	X
ajst-28811	8	3	introduction	introduction	NOUN
ajst-28811	8	4	shale	shale	NOUN
ajst-28811	8	5	gas	gas	NOUN
ajst-28811	8	6	is	be	AUX
ajst-28811	8	7	a	a	DET
ajst-28811	8	8	critically	critically	ADV
ajst-28811	8	9	important	important	ADJ
ajst-28811	8	10	oil	oil	NOUN
ajst-28811	8	11	and	and	CCONJ
ajst-28811	8	12	gas	gas	NOUN
ajst-28811	8	13	resource	resource	NOUN
ajst-28811	8	14	in	in	ADP
ajst-28811	8	15	china	china	PROPN
ajst-28811	8	16	,	,	PUNCT
ajst-28811	8	17	with	with	ADP
ajst-28811	8	18	immense	immense	ADJ
ajst-28811	8	19	development	development	NOUN
ajst-28811	8	20	potential[1	potential[1	NOUN
ajst-28811	8	21	]	]	PUNCT
ajst-28811	8	22	.	.	PUNCT
ajst-28811	9	1	in	in	ADP
ajst-28811	9	2	shale	shale	NOUN
ajst-28811	9	3	gas	gas	NOUN
ajst-28811	9	4	reservoir	reservoir	NOUN
ajst-28811	9	5	development	development	NOUN
ajst-28811	9	6	,	,	PUNCT
ajst-28811	9	7	horizontal	horizontal	ADJ
ajst-28811	9	8	drilling	drilling	NOUN
ajst-28811	9	9	and	and	CCONJ
ajst-28811	9	10	multi	multi	ADJ
ajst-28811	9	11	-	-	ADJ
ajst-28811	9	12	stage	stage	ADJ
ajst-28811	9	13	hydraulic	hydraulic	NOUN
ajst-28811	9	14	fracturing	fracturing	NOUN
ajst-28811	9	15	play	play	VERB
ajst-28811	9	16	pivotal	pivotal	ADJ
ajst-28811	9	17	roles	role	NOUN
ajst-28811	9	18	.	.	PUNCT
ajst-28811	10	1	optimizing	optimize	VERB
ajst-28811	10	2	horizontal	horizontal	ADJ
ajst-28811	10	3	fracturing	fracturing	NOUN
ajst-28811	10	4	parameters	parameter	NOUN
ajst-28811	10	5	prior	prior	ADV
ajst-28811	10	6	to	to	ADP
ajst-28811	10	7	production	production	NOUN
ajst-28811	10	8	is	be	AUX
ajst-28811	10	9	one	one	NUM
ajst-28811	10	10	of	of	ADP
ajst-28811	10	11	the	the	DET
ajst-28811	10	12	most	most	ADV
ajst-28811	10	13	crucial	crucial	ADJ
ajst-28811	10	14	steps	step	NOUN
ajst-28811	10	15	in	in	ADP
ajst-28811	10	16	enhancing	enhance	VERB
ajst-28811	10	17	shale	shale	NOUN
ajst-28811	10	18	gas	gas	NOUN
ajst-28811	10	19	production	production	NOUN
ajst-28811	10	20	.	.	PUNCT
ajst-28811	11	1	the	the	DET
ajst-28811	11	2	effectiveness	effectiveness	NOUN
ajst-28811	11	3	of	of	ADP
ajst-28811	11	4	production	production	NOUN
ajst-28811	11	5	enhancement	enhancement	NOUN
ajst-28811	11	6	through	through	ADP
ajst-28811	11	7	fracturing	fracturing	NOUN
ajst-28811	11	8	largely	largely	ADV
ajst-28811	11	9	depends	depend	VERB
ajst-28811	11	10	on	on	ADP
ajst-28811	11	11	the	the	DET
ajst-28811	11	12	optimization	optimization	NOUN
ajst-28811	11	13	of	of	ADP
ajst-28811	11	14	fracturing	fracture	VERB
ajst-28811	11	15	strategies[2	strategies[2	PROPN
ajst-28811	11	16	]	]	PUNCT
ajst-28811	11	17	.	.	PUNCT
ajst-28811	12	1	by	by	ADP
ajst-28811	12	2	effectively	effectively	ADV
ajst-28811	12	3	optimizing	optimize	VERB
ajst-28811	12	4	shale	shale	NOUN
ajst-28811	12	5	gas	gas	NOUN
ajst-28811	12	6	fracturing	fracturing	NOUN
ajst-28811	12	7	parameters	parameter	NOUN
ajst-28811	12	8	,	,	PUNCT
ajst-28811	12	9	not	not	PART
ajst-28811	12	10	only	only	ADV
ajst-28811	12	11	can	can	AUX
ajst-28811	12	12	the	the	DET
ajst-28811	12	13	production	production	NOUN
ajst-28811	12	14	capacity	capacity	NOUN
ajst-28811	12	15	of	of	ADP
ajst-28811	12	16	shale	shale	NOUN
ajst-28811	12	17	gas	gas	NOUN
ajst-28811	12	18	wells	well	NOUN
ajst-28811	12	19	be	be	AUX
ajst-28811	12	20	significantly	significantly	ADV
ajst-28811	12	21	improved	improve	VERB
ajst-28811	12	22	,	,	PUNCT
ajst-28811	12	23	but	but	CCONJ
ajst-28811	12	24	the	the	DET
ajst-28811	12	25	damage	damage	NOUN
ajst-28811	12	26	caused	cause	VERB
ajst-28811	12	27	by	by	ADP
ajst-28811	12	28	fracturing	fracture	VERB
ajst-28811	12	29	fluids	fluid	NOUN
ajst-28811	12	30	to	to	ADP
ajst-28811	12	31	the	the	DET
ajst-28811	12	32	reservoir	reservoir	NOUN
ajst-28811	12	33	can	can	AUX
ajst-28811	12	34	also	also	ADV
ajst-28811	12	35	be	be	AUX
ajst-28811	12	36	minimized	minimize	VERB
ajst-28811	12	37	.	.	PUNCT
ajst-28811	13	1	therefore	therefore	ADV
ajst-28811	13	2	,	,	PUNCT
ajst-28811	13	3	research	research	NOUN
ajst-28811	13	4	on	on	ADP
ajst-28811	13	5	shale	shale	NOUN
ajst-28811	13	6	gas	gas	NOUN
ajst-28811	13	7	hydraulic	hydraulic	NOUN
ajst-28811	13	8	fracturing	fracturing	NOUN
ajst-28811	13	9	parameter	parameter	NOUN
ajst-28811	13	10	optimization	optimization	NOUN
ajst-28811	13	11	methods	method	NOUN
ajst-28811	13	12	is	be	AUX
ajst-28811	13	13	of	of	ADP
ajst-28811	13	14	great	great	ADJ
ajst-28811	13	15	significance	significance	NOUN
ajst-28811	13	16	.	.	PUNCT
ajst-28811	14	1	extensive	extensive	ADJ
ajst-28811	14	2	research	research	NOUN
ajst-28811	14	3	has	have	AUX
ajst-28811	14	4	been	be	AUX
ajst-28811	14	5	conducted	conduct	VERB
ajst-28811	14	6	by	by	ADP
ajst-28811	14	7	scholars	scholar	NOUN
ajst-28811	14	8	worldwide	worldwide	ADV
ajst-28811	14	9	on	on	ADP
ajst-28811	14	10	optimizing	optimize	VERB
ajst-28811	14	11	hydraulic	hydraulic	ADJ
ajst-28811	14	12	fracturing	fracturing	NOUN
ajst-28811	14	13	parameters	parameter	NOUN
ajst-28811	14	14	.	.	PUNCT
ajst-28811	15	1	traditional	traditional	ADJ
ajst-28811	15	2	methods	method	NOUN
ajst-28811	15	3	for	for	ADP
ajst-28811	15	4	fracturing	fracture	VERB
ajst-28811	15	5	parameter	parameter	NOUN
ajst-28811	15	6	optimization	optimization	NOUN
ajst-28811	15	7	often	often	ADV
ajst-28811	15	8	involve	involve	VERB
ajst-28811	15	9	constructing	construct	VERB
ajst-28811	15	10	fracture	fracture	ADJ
ajst-28811	15	11	propagation	propagation	NOUN
ajst-28811	15	12	models	model	NOUN
ajst-28811	15	13	to	to	PART
ajst-28811	15	14	simulate	simulate	VERB
ajst-28811	15	15	the	the	DET
ajst-28811	15	16	fracture	fracture	NOUN
ajst-28811	15	17	extension	extension	NOUN
ajst-28811	15	18	process	process	NOUN
ajst-28811	15	19	during	during	ADP
ajst-28811	15	20	hydraulic	hydraulic	ADJ
ajst-28811	15	21	fracturing	fracturing	NOUN
ajst-28811	15	22	,	,	PUNCT
ajst-28811	15	23	thereby	thereby	ADV
ajst-28811	15	24	guiding	guide	VERB
ajst-28811	15	25	parameter	parameter	NOUN
ajst-28811	15	26	design[3,4	design[3,4	PROPN
ajst-28811	15	27	]	]	PUNCT
ajst-28811	15	28	.	.	PUNCT
ajst-28811	16	1	however	however	ADV
ajst-28811	16	2	,	,	PUNCT
ajst-28811	16	3	such	such	ADJ
ajst-28811	16	4	simulation	simulation	NOUN
ajst-28811	16	5	models	model	NOUN
ajst-28811	16	6	simplify	simplify	VERB
ajst-28811	16	7	the	the	DET
ajst-28811	16	8	fracture	fracture	NOUN
ajst-28811	16	9	propagation	propagation	NOUN
ajst-28811	16	10	process	process	NOUN
ajst-28811	16	11	and	and	CCONJ
ajst-28811	16	12	fail	fail	VERB
ajst-28811	16	13	to	to	PART
ajst-28811	16	14	accurately	accurately	ADV
ajst-28811	16	15	represent	represent	VERB
ajst-28811	16	16	the	the	DET
ajst-28811	16	17	complex	complex	ADJ
ajst-28811	16	18	fracture	fracture	NOUN
ajst-28811	16	19	networks	network	NOUN
ajst-28811	16	20	in	in	ADP
ajst-28811	16	21	reservoirs	reservoir	NOUN
ajst-28811	16	22	.	.	PUNCT
ajst-28811	17	1	another	another	DET
ajst-28811	17	2	approach	approach	NOUN
ajst-28811	17	3	utilizes	utilize	VERB
ajst-28811	17	4	numerical	numerical	PROPN
ajst-28811	17	5	simulation	simulation	NOUN
ajst-28811	17	6	and	and	CCONJ
ajst-28811	17	7	multivariate	multivariate	VERB
ajst-28811	17	8	analysis	analysis	NOUN
ajst-28811	17	9	methods	method	NOUN
ajst-28811	17	10	for	for	ADP
ajst-28811	17	11	optimizing	optimize	VERB
ajst-28811	17	12	fracturing	fracturing	NOUN
ajst-28811	17	13	parameters[5,6	parameters[5,6	NOUN
ajst-28811	17	14	]	]	PUNCT
ajst-28811	17	15	.	.	PUNCT
ajst-28811	18	1	while	while	SCONJ
ajst-28811	18	2	these	these	DET
ajst-28811	18	3	methods	method	NOUN
ajst-28811	18	4	provide	provide	VERB
ajst-28811	18	5	a	a	DET
ajst-28811	18	6	more	more	ADV
ajst-28811	18	7	comprehensive	comprehensive	ADJ
ajst-28811	18	8	perspective	perspective	NOUN
ajst-28811	18	9	,	,	PUNCT
ajst-28811	18	10	the	the	DET
ajst-28811	18	11	formation	formation	NOUN
ajst-28811	18	12	of	of	ADP
ajst-28811	18	13	diverse	diverse	ADJ
ajst-28811	18	14	and	and	CCONJ
ajst-28811	18	15	complex	complex	ADJ
ajst-28811	18	16	fracture	fracture	NOUN
ajst-28811	18	17	networks	network	NOUN
ajst-28811	18	18	during	during	ADP
ajst-28811	18	19	large	large	ADJ
ajst-28811	18	20	-	-	PUNCT
ajst-28811	18	21	scale	scale	NOUN
ajst-28811	18	22	hydraulic	hydraulic	NOUN
ajst-28811	18	23	fracturing	fracturing	NOUN
ajst-28811	18	24	significantly	significantly	ADV
ajst-28811	18	25	increases	increase	VERB
ajst-28811	18	26	the	the	DET
ajst-28811	18	27	computational	computational	ADJ
ajst-28811	18	28	time	time	NOUN
ajst-28811	18	29	required	require	VERB
ajst-28811	18	30	for	for	ADP
ajst-28811	18	31	shale	shale	NOUN
ajst-28811	18	32	reservoir	reservoir	NOUN
ajst-28811	18	33	simulations	simulation	NOUN
ajst-28811	18	34	,	,	PUNCT
ajst-28811	18	35	thereby	thereby	ADV
ajst-28811	18	36	reducing	reduce	VERB
ajst-28811	18	37	the	the	DET
ajst-28811	18	38	efficiency	efficiency	NOUN
ajst-28811	18	39	of	of	ADP
ajst-28811	18	40	parameter	parameter	NOUN
ajst-28811	18	41	optimization	optimization	NOUN
ajst-28811	18	42	.	.	PUNCT
ajst-28811	19	1	with	with	ADP
ajst-28811	19	2	the	the	DET
ajst-28811	19	3	widespread	widespread	ADJ
ajst-28811	19	4	application	application	NOUN
ajst-28811	19	5	of	of	ADP
ajst-28811	19	6	artificial	artificial	ADJ
ajst-28811	19	7	intelligence	intelligence	NOUN
ajst-28811	19	8	technology	technology	NOUN
ajst-28811	19	9	in	in	ADP
ajst-28811	19	10	the	the	DET
ajst-28811	19	11	oil	oil	NOUN
ajst-28811	19	12	and	and	CCONJ
ajst-28811	19	13	gas	gas	NOUN
ajst-28811	19	14	industry	industry	NOUN
ajst-28811	19	15	,	,	PUNCT
ajst-28811	19	16	a	a	DET
ajst-28811	19	17	large	large	ADJ
ajst-28811	19	18	amount	amount	NOUN
ajst-28811	19	19	of	of	ADP
ajst-28811	19	20	fracturing	fracturing	NOUN
ajst-28811	19	21	operation	operation	NOUN
ajst-28811	19	22	and	and	CCONJ
ajst-28811	19	23	production	production	NOUN
ajst-28811	19	24	performance	performance	NOUN
ajst-28811	19	25	data	datum	NOUN
ajst-28811	19	26	is	be	AUX
ajst-28811	19	27	now	now	ADV
ajst-28811	19	28	available	available	ADJ
ajst-28811	19	29	for	for	ADP
ajst-28811	19	30	reference[7,8	reference[7,8	PROPN
ajst-28811	19	31	]	]	X
ajst-28811	19	32	.	.	PUNCT
ajst-28811	20	1	significant	significant	ADJ
ajst-28811	20	2	progress	progress	NOUN
ajst-28811	20	3	has	have	AUX
ajst-28811	20	4	been	be	AUX
ajst-28811	20	5	made	make	VERB
ajst-28811	20	6	in	in	ADP
ajst-28811	20	7	the	the	DET
ajst-28811	20	8	research	research	NOUN
ajst-28811	20	9	on	on	ADP
ajst-28811	20	10	establishing	establish	VERB
ajst-28811	20	11	shale	shale	NOUN
ajst-28811	20	12	gas	gas	NOUN
ajst-28811	20	13	production	production	NOUN
ajst-28811	20	14	prediction	prediction	NOUN
ajst-28811	20	15	models	model	NOUN
ajst-28811	20	16	through	through	ADP
ajst-28811	20	17	data	datum	NOUN
ajst-28811	20	18	mining	mining	NOUN
ajst-28811	20	19	and	and	CCONJ
ajst-28811	20	20	machine	machine	NOUN
ajst-28811	20	21	learning	learning	NOUN
ajst-28811	20	22	,	,	PUNCT
ajst-28811	20	23	as	as	ADV
ajst-28811	20	24	well	well	ADV
ajst-28811	20	25	as	as	ADP
ajst-28811	20	26	optimizing	optimize	VERB
ajst-28811	20	27	fracturing	fracturing	NOUN
ajst-28811	20	28	construction	construction	NOUN
ajst-28811	20	29	parameters[9	parameters[9	NOUN
ajst-28811	20	30	]	]	PUNCT
ajst-28811	20	31	.	.	PUNCT
ajst-28811	21	1	lee	lee	PROPN
ajst-28811	21	2	et	et	PROPN
ajst-28811	21	3	al.[10]used	al.[10]use	VERB
ajst-28811	21	4	the	the	DET
ajst-28811	21	5	lstm	lstm	ADJ
ajst-28811	21	6	algorithm	algorithm	NOUN
ajst-28811	21	7	to	to	PART
ajst-28811	21	8	predict	predict	VERB
ajst-28811	21	9	the	the	DET
ajst-28811	21	10	future	future	ADJ
ajst-28811	21	11	production	production	NOUN
ajst-28811	21	12	rate	rate	NOUN
ajst-28811	21	13	of	of	ADP
ajst-28811	21	14	shale	shale	NOUN
ajst-28811	21	15	gas	gas	NOUN
ajst-28811	21	16	wells	well	NOUN
ajst-28811	21	17	based	base	VERB
ajst-28811	21	18	on	on	ADP
ajst-28811	21	19	two	two	NUM
ajst-28811	21	20	features	feature	NOUN
ajst-28811	21	21	of	of	ADP
ajst-28811	21	22	production	production	NOUN
ajst-28811	21	23	data	datum	NOUN
ajst-28811	21	24	and	and	CCONJ
ajst-28811	21	25	cycles	cycle	NOUN
ajst-28811	21	26	.	.	PUNCT
ajst-28811	22	1	tan	tan	PROPN
ajst-28811	22	2	et	et	NOUN
ajst-28811	22	3	al[11	al[11	PROPN
ajst-28811	22	4	]	]	PUNCT
ajst-28811	22	5	established	establish	VERB
ajst-28811	22	6	shale	shale	NOUN
ajst-28811	22	7	gas	gas	NOUN
ajst-28811	22	8	production	production	NOUN
ajst-28811	22	9	prediction	prediction	NOUN
ajst-28811	22	10	models	model	NOUN
ajst-28811	22	11	using	use	VERB
ajst-28811	22	12	six	six	NUM
ajst-28811	22	13	machine	machine	NOUN
ajst-28811	22	14	learning	learn	VERB
ajst-28811	22	15	algorithms	algorithm	NOUN
ajst-28811	22	16	,	,	PUNCT
ajst-28811	22	17	including	include	VERB
ajst-28811	22	18	bp	bp	PROPN
ajst-28811	22	19	neural	neural	ADJ
ajst-28811	22	20	network	network	NOUN
ajst-28811	22	21	,	,	PUNCT
ajst-28811	22	22	random	random	ADJ
ajst-28811	22	23	forest	forest	NOUN
ajst-28811	22	24	,	,	PUNCT
ajst-28811	22	25	support	support	NOUN
ajst-28811	22	26	vector	vector	NOUN
ajst-28811	22	27	regression	regression	NOUN
ajst-28811	22	28	,	,	PUNCT
ajst-28811	22	29	lightgbm	lightgbm	ADJ
ajst-28811	22	30	,	,	PUNCT
ajst-28811	22	31	xgboost	xgboost	ADV
ajst-28811	22	32	,	,	PUNCT
ajst-28811	22	33	and	and	CCONJ
ajst-28811	22	34	multiple	multiple	ADJ
ajst-28811	22	35	linear	linear	ADJ
ajst-28811	22	36	regression	regression	NOUN
ajst-28811	22	37	.	.	PUNCT
ajst-28811	23	1	they	they	PRON
ajst-28811	23	2	selected	select	VERB
ajst-28811	23	3	the	the	DET
ajst-28811	23	4	best	well	ADV
ajst-28811	23	5	-	-	PUNCT
ajst-28811	23	6	performing	perform	VERB
ajst-28811	23	7	model	model	NOUN
ajst-28811	23	8	and	and	CCONJ
ajst-28811	23	9	optimized	optimize	VERB
ajst-28811	23	10	fracturing	fracturing	NOUN
ajst-28811	23	11	construction	construction	NOUN
ajst-28811	23	12	parameters	parameter	NOUN
ajst-28811	23	13	considering	consider	VERB
ajst-28811	23	14	both	both	CCONJ
ajst-28811	23	15	production	production	NOUN
ajst-28811	23	16	and	and	CCONJ
ajst-28811	23	17	cost	cost	NOUN
ajst-28811	23	18	-	-	PUNCT
ajst-28811	23	19	profit	profit	NOUN
ajst-28811	23	20	ratio	ratio	NOUN
ajst-28811	23	21	.	.	PUNCT
ajst-28811	24	1	wang	wang	PROPN
ajst-28811	24	2	et	et	PROPN
ajst-28811	24	3	al[12]built	al[12]built	PUNCT
ajst-28811	24	4	a	a	DET
ajst-28811	24	5	prediction	prediction	NOUN
ajst-28811	24	6	model	model	NOUN
ajst-28811	24	7	based	base	VERB
ajst-28811	24	8	on	on	ADP
ajst-28811	24	9	the	the	DET
ajst-28811	24	10	lssvr	lssvr	ADJ
ajst-28811	24	11	algorithm	algorithm	NOUN
ajst-28811	24	12	and	and	CCONJ
ajst-28811	24	13	applied	apply	VERB
ajst-28811	24	14	a	a	DET
ajst-28811	24	15	multi	multi	ADJ
ajst-28811	24	16	-	-	ADJ
ajst-28811	24	17	objective	objective	ADJ
ajst-28811	24	18	method	method	NOUN
ajst-28811	24	19	to	to	PART
ajst-28811	24	20	optimize	optimize	VERB
ajst-28811	24	21	construction	construction	NOUN
ajst-28811	24	22	parameters	parameter	NOUN
ajst-28811	24	23	.	.	PUNCT
ajst-28811	25	1	liu	liu	PROPN
ajst-28811	25	2	et	et	PROPN
ajst-28811	25	3	al	al	PROPN
ajst-28811	26	1	[	[	X
ajst-28811	26	2	13	13	NUM
ajst-28811	26	3	]	]	PUNCT
ajst-28811	26	4	developed	develop	VERB
ajst-28811	26	5	a	a	DET
ajst-28811	26	6	comprehensive	comprehensive	ADJ
ajst-28811	26	7	production	production	NOUN
ajst-28811	26	8	evaluation	evaluation	NOUN
ajst-28811	26	9	model	model	NOUN
ajst-28811	26	10	using	use	VERB
ajst-28811	26	11	random	random	ADJ
ajst-28811	26	12	forest	forest	NOUN
ajst-28811	26	13	algorithm	algorithm	NOUN
ajst-28811	26	14	and	and	CCONJ
ajst-28811	26	15	coordinated	coordinated	ADJ
ajst-28811	26	16	principal	principal	ADJ
ajst-28811	26	17	component	component	NOUN
ajst-28811	26	18	analysis	analysis	NOUN
ajst-28811	26	19	to	to	PART
ajst-28811	26	20	evaluate	evaluate	VERB
ajst-28811	26	21	fracturing	fracturing	NOUN
ajst-28811	26	22	effects	effect	NOUN
ajst-28811	26	23	in	in	ADP
ajst-28811	26	24	horizontal	horizontal	ADJ
ajst-28811	26	25	wells	well	NOUN
ajst-28811	26	26	,	,	PUNCT
ajst-28811	26	27	combining	combine	VERB
ajst-28811	26	28	orthogonal	orthogonal	ADJ
ajst-28811	26	29	experimental	experimental	ADJ
ajst-28811	26	30	design	design	NOUN
ajst-28811	26	31	methods	method	NOUN
ajst-28811	26	32	to	to	PART
ajst-28811	26	33	optimize	optimize	VERB
ajst-28811	26	34	fracturing	fracturing	NOUN
ajst-28811	26	35	parameter	parameter	NOUN
ajst-28811	26	36	design	design	NOUN
ajst-28811	26	37	.	.	PUNCT
ajst-28811	27	1	qian	qian	PROPN
ajst-28811	27	2	et	et	PROPN
ajst-28811	27	3	al[14]integrated	al[14]integrate	VERB
ajst-28811	27	4	reservoir	reservoir	PROPN
ajst-28811	27	5	numerical	numerical	PROPN
ajst-28811	27	6	simulation	simulation	PROPN
ajst-28811	27	7	with	with	ADP
ajst-28811	27	8	the	the	DET
ajst-28811	27	9	gbdt	gbdt	NOUN
ajst-28811	27	10	algorithm	algorithm	NOUN
ajst-28811	27	11	to	to	PART
ajst-28811	27	12	create	create	VERB
ajst-28811	27	13	a	a	DET
ajst-28811	27	14	machine	machine	NOUN
ajst-28811	27	15	learning	learn	VERB
ajst-28811	27	16	model	model	NOUN
ajst-28811	27	17	,	,	PUNCT
ajst-28811	27	18	utilizing	utilize	VERB
ajst-28811	27	19	particle	particle	NOUN
ajst-28811	27	20	swarm	swarm	NOUN
ajst-28811	27	21	optimization	optimization	NOUN
ajst-28811	27	22	(	(	PUNCT
ajst-28811	27	23	pso	pso	NOUN
ajst-28811	27	24	)	)	PUNCT
ajst-28811	27	25	to	to	PART
ajst-28811	27	26	optimize	optimize	VERB
ajst-28811	27	27	fracture	fracture	NOUN
ajst-28811	27	28	parameters	parameter	NOUN
ajst-28811	27	29	.	.	PUNCT
ajst-28811	28	1	this	this	DET
ajst-28811	28	2	method	method	NOUN
ajst-28811	28	3	aimed	aim	VERB
ajst-28811	28	4	to	to	PART
ajst-28811	28	5	optimize	optimize	VERB
ajst-28811	28	6	fracturing	fracturing	NOUN
ajst-28811	28	7	parameters	parameter	NOUN
ajst-28811	28	8	and	and	CCONJ
ajst-28811	28	9	predict	predict	VERB
ajst-28811	28	10	production	production	NOUN
ajst-28811	28	11	based	base	VERB
ajst-28811	28	12	on	on	ADP
ajst-28811	28	13	cumulative	cumulative	ADJ
ajst-28811	28	14	gas	gas	NOUN
ajst-28811	28	15	production	production	NOUN
ajst-28811	28	16	under	under	ADP
ajst-28811	28	17	different	different	ADJ
ajst-28811	28	18	geological	geological	ADJ
ajst-28811	28	19	conditions	condition	NOUN
ajst-28811	28	20	.	.	PUNCT
ajst-28811	29	1	dong	dong	PROPN
ajst-28811	29	2	et	et	PROPN
ajst-28811	29	3	al[15	al[15	PROPN
ajst-28811	29	4	]	]	PUNCT
ajst-28811	29	5	compared	compare	VERB
ajst-28811	29	6	the	the	DET
ajst-28811	29	7	optimization	optimization	NOUN
ajst-28811	29	8	effects	effect	NOUN
ajst-28811	29	9	of	of	ADP
ajst-28811	29	10	four	four	NUM
ajst-28811	29	11	evolutionary	evolutionary	ADJ
ajst-28811	29	12	algorithms	algorithm	NOUN
ajst-28811	29	13	—	—	PUNCT
ajst-28811	29	14	genetic	genetic	ADJ
ajst-28811	29	15	algorithm	algorithm	NOUN
ajst-28811	29	16	,	,	PUNCT
ajst-28811	29	17	differential	differential	ADJ
ajst-28811	29	18	evolution	evolution	NOUN
ajst-28811	29	19	algorithm	algorithm	NOUN
ajst-28811	29	20	,	,	PUNCT
ajst-28811	29	21	simulated	simulate	VERB
ajst-28811	29	22	annealing	annealing	NOUN
ajst-28811	29	23	algorithm	algorithm	NOUN
ajst-28811	29	24	,	,	PUNCT
ajst-28811	29	25	and	and	CCONJ
ajst-28811	29	26	particle	particle	NOUN
ajst-28811	29	27	swarm	swarm	NOUN
ajst-28811	29	28	optimization	optimization	NOUN
ajst-28811	29	29	—	—	PUNCT
ajst-28811	29	30	on	on	ADP
ajst-28811	29	31	tight	tight	ADJ
ajst-28811	29	32	oil	oil	NOUN
ajst-28811	29	33	horizontal	horizontal	ADJ
ajst-28811	29	34	well	well	ADJ
ajst-28811	29	35	fracturing	fracturing	NOUN
ajst-28811	29	36	parameters	parameter	NOUN
ajst-28811	29	37	.	.	PUNCT
ajst-28811	30	1	zhou	zhou	PROPN
ajst-28811	30	2	et	et	PROPN
ajst-28811	30	3	al[16]established	al[16]establishe	VERB
ajst-28811	30	4	a	a	DET
ajst-28811	30	5	regression	regression	NOUN
ajst-28811	30	6	prediction	prediction	NOUN
ajst-28811	30	7	model	model	NOUN
ajst-28811	30	8	to	to	PART
ajst-28811	30	9	determine	determine	VERB
ajst-28811	30	10	the	the	DET
ajst-28811	30	11	relationship	relationship	NOUN
ajst-28811	30	12	between	between	ADP
ajst-28811	30	13	parameters	parameter	NOUN
ajst-28811	30	14	and	and	CCONJ
ajst-28811	30	15	production	production	NOUN
ajst-28811	30	16	capacity	capacity	NOUN
ajst-28811	30	17	,	,	PUNCT
ajst-28811	30	18	optimizing	optimize	VERB
ajst-28811	30	19	fracturing	fracturing	NOUN
ajst-28811	30	20	parameters	parameter	NOUN
ajst-28811	30	21	based	base	VERB
ajst-28811	30	22	on	on	ADP
ajst-28811	30	23	an	an	DET
ajst-28811	30	24	improved	improved	ADJ
ajst-28811	30	25	233	233	NUM
ajst-28811	30	26	genetic	genetic	ADJ
ajst-28811	30	27	algorithm	algorithm	NOUN
ajst-28811	30	28	with	with	ADP
ajst-28811	30	29	production	production	NOUN
ajst-28811	30	30	as	as	ADP
ajst-28811	30	31	the	the	DET
ajst-28811	30	32	target	target	NOUN
ajst-28811	30	33	.	.	PUNCT
ajst-28811	31	1	yang	yang	PROPN
ajst-28811	31	2	et	et	PROPN
ajst-28811	31	3	al[17	al[17	PROPN
ajst-28811	31	4	]	]	PUNCT
ajst-28811	31	5	studied	study	VERB
ajst-28811	31	6	a	a	DET
ajst-28811	31	7	vertical	vertical	ADJ
ajst-28811	31	8	fracturing	fracturing	NOUN
ajst-28811	31	9	well	well	ADV
ajst-28811	31	10	in	in	ADP
ajst-28811	31	11	a	a	DET
ajst-28811	31	12	block	block	NOUN
ajst-28811	31	13	of	of	ADP
ajst-28811	31	14	the	the	DET
ajst-28811	31	15	sulige	sulige	ADJ
ajst-28811	31	16	gas	gas	NOUN
ajst-28811	31	17	field	field	NOUN
ajst-28811	31	18	,	,	PUNCT
ajst-28811	31	19	using	use	VERB
ajst-28811	31	20	k	k	NOUN
ajst-28811	31	21	-	-	PUNCT
ajst-28811	31	22	means	means	NOUN
ajst-28811	31	23	clustering	clustering	NOUN
ajst-28811	31	24	,	,	PUNCT
ajst-28811	31	25	classification	classification	NOUN
ajst-28811	31	26	enhancement	enhancement	NOUN
ajst-28811	31	27	,	,	PUNCT
ajst-28811	31	28	extreme	extreme	ADJ
ajst-28811	31	29	gradient	gradient	NOUN
ajst-28811	31	30	boosting	boosting	NOUN
ajst-28811	31	31	,	,	PUNCT
ajst-28811	31	32	and	and	CCONJ
ajst-28811	31	33	lightgbm	lightgbm	VERB
ajst-28811	31	34	algorithms	algorithm	NOUN
ajst-28811	31	35	to	to	PART
ajst-28811	31	36	build	build	VERB
ajst-28811	31	37	regression	regression	NOUN
ajst-28811	31	38	models	model	NOUN
ajst-28811	31	39	.	.	PUNCT
ajst-28811	32	1	they	they	PRON
ajst-28811	32	2	then	then	ADV
ajst-28811	32	3	constructed	construct	VERB
ajst-28811	32	4	an	an	DET
ajst-28811	32	5	optimization	optimization	NOUN
ajst-28811	32	6	model	model	NOUN
ajst-28811	32	7	using	use	VERB
ajst-28811	32	8	a	a	DET
ajst-28811	32	9	genetic	genetic	ADJ
ajst-28811	32	10	algorithm	algorithm	NOUN
ajst-28811	32	11	,	,	PUNCT
ajst-28811	32	12	focusing	focus	VERB
ajst-28811	32	13	on	on	ADP
ajst-28811	32	14	four	four	NUM
ajst-28811	32	15	factors	factor	NOUN
ajst-28811	32	16	:	:	PUNCT
ajst-28811	32	17	fracturing	fracture	VERB
ajst-28811	32	18	fluid	fluid	NOUN
ajst-28811	32	19	,	,	PUNCT
ajst-28811	32	20	proppant	proppant	NOUN
ajst-28811	32	21	,	,	PUNCT
ajst-28811	32	22	liquid	liquid	ADJ
ajst-28811	32	23	nitrogen	nitrogen	NOUN
ajst-28811	32	24	,	,	PUNCT
ajst-28811	32	25	and	and	CCONJ
ajst-28811	32	26	construction	construction	NOUN
ajst-28811	32	27	displacement	displacement	ADJ
ajst-28811	32	28	quantity	quantity	NOUN
ajst-28811	32	29	.	.	PUNCT
ajst-28811	33	1	however	however	ADV
ajst-28811	33	2	,	,	PUNCT
ajst-28811	33	3	several	several	ADJ
ajst-28811	33	4	substantive	substantive	ADJ
ajst-28811	33	5	issues	issue	NOUN
ajst-28811	33	6	remain	remain	VERB
ajst-28811	33	7	in	in	ADP
ajst-28811	33	8	the	the	DET
ajst-28811	33	9	current	current	ADJ
ajst-28811	33	10	research	research	NOUN
ajst-28811	33	11	.	.	PUNCT
ajst-28811	34	1	first	first	ADV
ajst-28811	34	2	,	,	PUNCT
ajst-28811	34	3	the	the	DET
ajst-28811	34	4	relationship	relationship	NOUN
ajst-28811	34	5	between	between	ADP
ajst-28811	34	6	reservoir	reservoir	NOUN
ajst-28811	34	7	parameters	parameter	NOUN
ajst-28811	34	8	,	,	PUNCT
ajst-28811	34	9	operational	operational	ADJ
ajst-28811	34	10	parameters	parameter	NOUN
ajst-28811	34	11	,	,	PUNCT
ajst-28811	34	12	and	and	CCONJ
ajst-28811	34	13	production	production	NOUN
ajst-28811	34	14	performance	performance	NOUN
ajst-28811	34	15	is	be	AUX
ajst-28811	34	16	highly	highly	ADV
ajst-28811	34	17	nonlinear	nonlinear	ADJ
ajst-28811	34	18	,	,	PUNCT
ajst-28811	34	19	with	with	ADP
ajst-28811	34	20	strong	strong	ADJ
ajst-28811	34	21	interdependencies	interdependency	NOUN
ajst-28811	34	22	among	among	ADP
ajst-28811	34	23	influencing	influence	VERB
ajst-28811	34	24	factors	factor	NOUN
ajst-28811	34	25	.	.	PUNCT
ajst-28811	35	1	the	the	DET
ajst-28811	35	2	use	use	NOUN
ajst-28811	35	3	of	of	ADP
ajst-28811	35	4	multiple	multiple	ADJ
ajst-28811	35	5	factors	factor	NOUN
ajst-28811	35	6	as	as	ADP
ajst-28811	35	7	input	input	NOUN
ajst-28811	35	8	parameters	parameter	NOUN
ajst-28811	35	9	complicates	complicate	VERB
ajst-28811	35	10	model	model	NOUN
ajst-28811	35	11	structures	structure	NOUN
ajst-28811	35	12	.	.	PUNCT
ajst-28811	36	1	second	second	ADJ
ajst-28811	36	2	,	,	PUNCT
ajst-28811	36	3	existing	exist	VERB
ajst-28811	36	4	studies	study	NOUN
ajst-28811	36	5	often	often	ADV
ajst-28811	36	6	overlook	overlook	VERB
ajst-28811	36	7	parameter	parameter	NOUN
ajst-28811	36	8	optimization	optimization	NOUN
ajst-28811	36	9	during	during	ADP
ajst-28811	36	10	the	the	DET
ajst-28811	36	11	development	development	NOUN
ajst-28811	36	12	of	of	ADP
ajst-28811	36	13	prediction	prediction	NOUN
ajst-28811	36	14	models	model	NOUN
ajst-28811	36	15	,	,	PUNCT
ajst-28811	36	16	and	and	CCONJ
ajst-28811	36	17	single	single	ADJ
ajst-28811	36	18	-	-	PUNCT
ajst-28811	36	19	model	model	NOUN
ajst-28811	36	20	approaches	approach	NOUN
ajst-28811	36	21	fail	fail	VERB
ajst-28811	36	22	to	to	PART
ajst-28811	36	23	achieve	achieve	VERB
ajst-28811	36	24	optimal	optimal	ADJ
ajst-28811	36	25	prediction	prediction	NOUN
ajst-28811	36	26	accuracy	accuracy	NOUN
ajst-28811	36	27	.	.	PUNCT
ajst-28811	37	1	additionally	additionally	ADV
ajst-28811	37	2	,	,	PUNCT
ajst-28811	37	3	many	many	ADJ
ajst-28811	37	4	studies	study	NOUN
ajst-28811	37	5	adopt	adopt	VERB
ajst-28811	37	6	data	data	NOUN
ajst-28811	37	7	-	-	PUNCT
ajst-28811	37	8	driven	drive	VERB
ajst-28811	37	9	models	model	NOUN
ajst-28811	37	10	and	and	CCONJ
ajst-28811	37	11	directly	directly	ADV
ajst-28811	37	12	use	use	VERB
ajst-28811	37	13	intelligent	intelligent	ADJ
ajst-28811	37	14	optimization	optimization	NOUN
ajst-28811	37	15	algorithms	algorithm	NOUN
ajst-28811	37	16	to	to	PART
ajst-28811	37	17	optimize	optimize	VERB
ajst-28811	37	18	fracturing	fracturing	NOUN
ajst-28811	37	19	parameters	parameter	NOUN
ajst-28811	37	20	without	without	ADP
ajst-28811	37	21	addressing	address	VERB
ajst-28811	37	22	challenges	challenge	NOUN
ajst-28811	37	23	such	such	ADJ
ajst-28811	37	24	as	as	ADP
ajst-28811	37	25	low	low	ADJ
ajst-28811	37	26	optimization	optimization	NOUN
ajst-28811	37	27	accuracy	accuracy	NOUN
ajst-28811	37	28	,	,	PUNCT
ajst-28811	37	29	poor	poor	ADJ
ajst-28811	37	30	search	search	NOUN
ajst-28811	37	31	capabilities	capability	NOUN
ajst-28811	37	32	,	,	PUNCT
ajst-28811	37	33	and	and	CCONJ
ajst-28811	37	34	limitations	limitation	NOUN
ajst-28811	37	35	imposed	impose	VERB
ajst-28811	37	36	by	by	ADP
ajst-28811	37	37	the	the	DET
ajst-28811	37	38	dimensionality	dimensionality	NOUN
ajst-28811	37	39	of	of	ADP
ajst-28811	37	40	field	field	NOUN
ajst-28811	37	41	data	datum	NOUN
ajst-28811	37	42	.	.	PUNCT
ajst-28811	38	1	these	these	DET
ajst-28811	38	2	issues	issue	NOUN
ajst-28811	38	3	make	make	VERB
ajst-28811	38	4	it	it	PRON
ajst-28811	38	5	difficult	difficult	ADJ
ajst-28811	38	6	to	to	PART
ajst-28811	38	7	ensure	ensure	VERB
ajst-28811	38	8	precise	precise	ADJ
ajst-28811	38	9	optimization	optimization	NOUN
ajst-28811	38	10	of	of	ADP
ajst-28811	38	11	operational	operational	ADJ
ajst-28811	38	12	parameters	parameter	NOUN
ajst-28811	38	13	.	.	PUNCT
ajst-28811	39	1	to	to	PART
ajst-28811	39	2	address	address	VERB
ajst-28811	39	3	these	these	DET
ajst-28811	39	4	challenges	challenge	NOUN
ajst-28811	39	5	and	and	CCONJ
ajst-28811	39	6	achieve	achieve	VERB
ajst-28811	39	7	the	the	DET
ajst-28811	39	8	goal	goal	NOUN
ajst-28811	39	9	of	of	ADP
ajst-28811	39	10	enhancing	enhance	VERB
ajst-28811	39	11	shale	shale	NOUN
ajst-28811	39	12	gas	gas	NOUN
ajst-28811	39	13	well	well	NOUN
ajst-28811	39	14	production	production	NOUN
ajst-28811	39	15	,	,	PUNCT
ajst-28811	39	16	this	this	DET
ajst-28811	39	17	study	study	NOUN
ajst-28811	39	18	proposes	propose	VERB
ajst-28811	39	19	a	a	DET
ajst-28811	39	20	hydraulic	hydraulic	ADJ
ajst-28811	39	21	fracturing	fracturing	NOUN
ajst-28811	39	22	parameter	parameter	NOUN
ajst-28811	39	23	optimization	optimization	NOUN
ajst-28811	39	24	method	method	NOUN
ajst-28811	39	25	based	base	VERB
ajst-28811	39	26	on	on	ADP
ajst-28811	39	27	an	an	DET
ajst-28811	39	28	ssa	ssa	NOUN
ajst-28811	39	29	-	-	PUNCT
ajst-28811	39	30	xgboost	xgboost	PROPN
ajst-28811	39	31	prediction	prediction	NOUN
ajst-28811	39	32	model	model	NOUN
ajst-28811	39	33	.	.	PUNCT
ajst-28811	40	1	the	the	DET
ajst-28811	40	2	method	method	NOUN
ajst-28811	40	3	employs	employ	VERB
ajst-28811	40	4	grey	grey	ADJ
ajst-28811	40	5	relational	relational	ADJ
ajst-28811	40	6	analysis	analysis	NOUN
ajst-28811	40	7	(	(	PUNCT
ajst-28811	40	8	gra	gra	PROPN
ajst-28811	40	9	)	)	PUNCT
ajst-28811	40	10	to	to	PART
ajst-28811	40	11	reduce	reduce	VERB
ajst-28811	40	12	the	the	DET
ajst-28811	40	13	dimensionality	dimensionality	NOUN
ajst-28811	40	14	of	of	ADP
ajst-28811	40	15	fracturing	fracture	VERB
ajst-28811	40	16	parameters	parameter	NOUN
ajst-28811	40	17	affecting	affect	VERB
ajst-28811	40	18	gas	gas	NOUN
ajst-28811	40	19	production	production	NOUN
ajst-28811	40	20	,	,	PUNCT
ajst-28811	40	21	selecting	select	VERB
ajst-28811	40	22	key	key	ADJ
ajst-28811	40	23	influencing	influence	VERB
ajst-28811	40	24	factors	factor	NOUN
ajst-28811	40	25	as	as	ADP
ajst-28811	40	26	inputs	input	NOUN
ajst-28811	40	27	.	.	PUNCT
ajst-28811	41	1	it	it	PRON
ajst-28811	41	2	then	then	ADV
ajst-28811	41	3	constructs	construct	VERB
ajst-28811	41	4	an	an	DET
ajst-28811	41	5	extreme	extreme	ADJ
ajst-28811	41	6	gradient	gradient	NOUN
ajst-28811	41	7	boosting	boost	VERB
ajst-28811	41	8	(	(	PUNCT
ajst-28811	41	9	xgboost	xgboost	ADJ
ajst-28811	41	10	)	)	PUNCT
ajst-28811	41	11	prediction	prediction	NOUN
ajst-28811	41	12	model	model	NOUN
ajst-28811	41	13	with	with	ADP
ajst-28811	41	14	a	a	DET
ajst-28811	41	15	key	key	ADJ
ajst-28811	41	16	evaluation	evaluation	NOUN
ajst-28811	41	17	metric	metric	NOUN
ajst-28811	41	18	,	,	PUNCT
ajst-28811	41	19	the	the	DET
ajst-28811	41	20	normalized	normalize	VERB
ajst-28811	41	21	daily	daily	ADJ
ajst-28811	41	22	gas	gas	NOUN
ajst-28811	41	23	production	production	NOUN
ajst-28811	41	24	,	,	PUNCT
ajst-28811	41	25	as	as	ADP
ajst-28811	41	26	the	the	DET
ajst-28811	41	27	output	output	NOUN
ajst-28811	41	28	.	.	PUNCT
ajst-28811	42	1	the	the	DET
ajst-28811	42	2	sparrow	sparrow	ADJ
ajst-28811	42	3	search	search	NOUN
ajst-28811	42	4	algorithm	algorithm	NOUN
ajst-28811	42	5	(	(	PUNCT
ajst-28811	42	6	ssa	ssa	NOUN
ajst-28811	42	7	)	)	PUNCT
ajst-28811	42	8	,	,	PUNCT
ajst-28811	42	9	known	know	VERB
ajst-28811	42	10	for	for	ADP
ajst-28811	42	11	its	its	PRON
ajst-28811	42	12	strong	strong	ADJ
ajst-28811	42	13	optimization	optimization	NOUN
ajst-28811	42	14	capabilities	capability	NOUN
ajst-28811	42	15	,	,	PUNCT
ajst-28811	42	16	is	be	AUX
ajst-28811	42	17	used	use	VERB
ajst-28811	42	18	to	to	ADP
ajst-28811	42	19	fine	fine	ADJ
ajst-28811	42	20	-	-	PUNCT
ajst-28811	42	21	tune	tune	NOUN
ajst-28811	42	22	the	the	DET
ajst-28811	42	23	model	model	NOUN
ajst-28811	42	24	,	,	PUNCT
ajst-28811	42	25	achieving	achieve	VERB
ajst-28811	42	26	optimal	optimal	ADJ
ajst-28811	42	27	prediction	prediction	NOUN
ajst-28811	42	28	accuracy	accuracy	NOUN
ajst-28811	42	29	.	.	PUNCT
ajst-28811	43	1	finally	finally	ADV
ajst-28811	43	2	,	,	PUNCT
ajst-28811	43	3	by	by	ADP
ajst-28811	43	4	predicting	predict	VERB
ajst-28811	43	5	gas	gas	NOUN
ajst-28811	43	6	production	production	NOUN
ajst-28811	43	7	under	under	ADP
ajst-28811	43	8	various	various	ADJ
ajst-28811	43	9	fracturing	fracturing	NOUN
ajst-28811	43	10	scenarios	scenario	NOUN
ajst-28811	43	11	,	,	PUNCT
ajst-28811	43	12	the	the	DET
ajst-28811	43	13	method	method	NOUN
ajst-28811	43	14	identifies	identify	VERB
ajst-28811	43	15	the	the	DET
ajst-28811	43	16	optimal	optimal	ADJ
ajst-28811	43	17	operational	operational	ADJ
ajst-28811	43	18	parameters	parameter	NOUN
ajst-28811	43	19	,	,	PUNCT
ajst-28811	43	20	providing	provide	VERB
ajst-28811	43	21	actionable	actionable	ADJ
ajst-28811	43	22	optimization	optimization	NOUN
ajst-28811	43	23	recommendations	recommendation	NOUN
ajst-28811	43	24	for	for	ADP
ajst-28811	43	25	field	field	NOUN
ajst-28811	43	26	fracturing	fracture	VERB
ajst-28811	43	27	operations	operation	NOUN
ajst-28811	43	28	.	.	PUNCT
ajst-28811	44	1	2	2	X
ajst-28811	44	2	.	.	X
ajst-28811	44	3	research	research	NOUN
ajst-28811	44	4	methodology	methodology	NOUN
ajst-28811	44	5	theory	theory	NOUN
ajst-28811	44	6	guided	guide	VERB
ajst-28811	44	7	by	by	ADP
ajst-28811	44	8	data	datum	NOUN
ajst-28811	44	9	mining	mining	NOUN
ajst-28811	44	10	and	and	CCONJ
ajst-28811	44	11	machine	machine	NOUN
ajst-28811	44	12	learning	learning	NOUN
ajst-28811	44	13	algorithms	algorithm	NOUN
ajst-28811	44	14	,	,	PUNCT
ajst-28811	44	15	the	the	DET
ajst-28811	44	16	optimization	optimization	NOUN
ajst-28811	44	17	of	of	ADP
ajst-28811	44	18	fracturing	fracture	VERB
ajst-28811	44	19	operational	operational	ADJ
ajst-28811	44	20	parameters	parameter	NOUN
ajst-28811	44	21	for	for	ADP
ajst-28811	44	22	shale	shale	NOUN
ajst-28811	44	23	gas	gas	NOUN
ajst-28811	44	24	is	be	AUX
ajst-28811	44	25	achieved	achieve	VERB
ajst-28811	44	26	by	by	ADP
ajst-28811	44	27	building	build	VERB
ajst-28811	44	28	a	a	DET
ajst-28811	44	29	production	production	NOUN
ajst-28811	44	30	prediction	prediction	NOUN
ajst-28811	44	31	model	model	NOUN
ajst-28811	44	32	.	.	PUNCT
ajst-28811	45	1	the	the	DET
ajst-28811	45	2	primary	primary	ADJ
ajst-28811	45	3	theoretical	theoretical	ADJ
ajst-28811	45	4	methods	method	NOUN
ajst-28811	45	5	relied	rely	VERB
ajst-28811	45	6	upon	upon	SCONJ
ajst-28811	45	7	in	in	ADP
ajst-28811	45	8	the	the	DET
ajst-28811	45	9	model	model	NOUN
ajst-28811	45	10	construction	construction	NOUN
ajst-28811	45	11	process	process	NOUN
ajst-28811	45	12	include	include	VERB
ajst-28811	45	13	grey	grey	ADJ
ajst-28811	45	14	relational	relational	ADJ
ajst-28811	45	15	analysis	analysis	NOUN
ajst-28811	45	16	,	,	PUNCT
ajst-28811	45	17	extreme	extreme	ADJ
ajst-28811	45	18	gradient	gradient	NOUN
ajst-28811	45	19	boosting	boosting	NOUN
ajst-28811	45	20	,	,	PUNCT
ajst-28811	45	21	and	and	CCONJ
ajst-28811	45	22	the	the	DET
ajst-28811	45	23	sparrow	sparrow	ADJ
ajst-28811	45	24	search	search	NOUN
ajst-28811	45	25	algorithm	algorithm	NOUN
ajst-28811	45	26	.	.	PUNCT
ajst-28811	46	1	these	these	DET
ajst-28811	46	2	methods	method	NOUN
ajst-28811	46	3	work	work	VERB
ajst-28811	46	4	together	together	ADV
ajst-28811	46	5	to	to	PART
ajst-28811	46	6	improve	improve	VERB
ajst-28811	46	7	the	the	DET
ajst-28811	46	8	accuracy	accuracy	NOUN
ajst-28811	46	9	and	and	CCONJ
ajst-28811	46	10	efficiency	efficiency	NOUN
ajst-28811	46	11	of	of	ADP
ajst-28811	46	12	the	the	DET
ajst-28811	46	13	optimization	optimization	NOUN
ajst-28811	46	14	process	process	NOUN
ajst-28811	46	15	,	,	PUNCT
ajst-28811	46	16	ensuring	ensure	VERB
ajst-28811	46	17	precise	precise	ADJ
ajst-28811	46	18	prediction	prediction	NOUN
ajst-28811	46	19	of	of	ADP
ajst-28811	46	20	shale	shale	NOUN
ajst-28811	46	21	gas	gas	NOUN
ajst-28811	46	22	production	production	NOUN
ajst-28811	46	23	and	and	CCONJ
ajst-28811	46	24	optimal	optimal	ADJ
ajst-28811	46	25	fracturing	fracturing	NOUN
ajst-28811	46	26	parameters	parameter	NOUN
ajst-28811	46	27	.	.	PUNCT
ajst-28811	47	1	2.1	2.1	NUM
ajst-28811	47	2	.	.	PUNCT
ajst-28811	48	1	grey	grey	PROPN
ajst-28811	48	2	relational	relational	ADJ
ajst-28811	48	3	analysis	analysis	NOUN
ajst-28811	48	4	currently	currently	ADV
ajst-28811	48	5	,	,	PUNCT
ajst-28811	48	6	the	the	DET
ajst-28811	48	7	main	main	ADJ
ajst-28811	48	8	methods	method	NOUN
ajst-28811	48	9	used	use	VERB
ajst-28811	48	10	for	for	ADP
ajst-28811	48	11	dimensionality	dimensionality	NOUN
ajst-28811	48	12	reduction	reduction	NOUN
ajst-28811	48	13	are	be	AUX
ajst-28811	48	14	principal	principal	ADJ
ajst-28811	48	15	component	component	NOUN
ajst-28811	48	16	analysis	analysis	NOUN
ajst-28811	48	17	(	(	PUNCT
ajst-28811	48	18	pca	pca	NOUN
ajst-28811	48	19	)	)	PUNCT
ajst-28811	48	20	,	,	PUNCT
ajst-28811	48	21	factor	factor	NOUN
ajst-28811	48	22	analysis	analysis	NOUN
ajst-28811	48	23	,	,	PUNCT
ajst-28811	48	24	and	and	CCONJ
ajst-28811	48	25	grey	grey	ADJ
ajst-28811	48	26	relational	relational	ADJ
ajst-28811	48	27	analysis	analysis	NOUN
ajst-28811	48	28	(	(	PUNCT
ajst-28811	48	29	gra	gra	PROPN
ajst-28811	48	30	)	)	PUNCT
ajst-28811	48	31	.	.	PUNCT
ajst-28811	49	1	grey	grey	PROPN
ajst-28811	49	2	relational	relational	ADJ
ajst-28811	49	3	analysis	analysis	NOUN
ajst-28811	49	4	(	(	PUNCT
ajst-28811	49	5	gra	gra	NOUN
ajst-28811	49	6	)	)	PUNCT
ajst-28811	49	7	calculates	calculate	VERB
ajst-28811	49	8	the	the	DET
ajst-28811	49	9	grey	grey	PROPN
ajst-28811	49	10	relational	relational	ADJ
ajst-28811	49	11	degree	degree	NOUN
ajst-28811	49	12	to	to	PART
ajst-28811	49	13	describe	describe	VERB
ajst-28811	49	14	the	the	DET
ajst-28811	49	15	strength	strength	NOUN
ajst-28811	49	16	of	of	ADP
ajst-28811	49	17	correlation	correlation	NOUN
ajst-28811	49	18	between	between	ADP
ajst-28811	49	19	sequences	sequence	NOUN
ajst-28811	49	20	.	.	PUNCT
ajst-28811	50	1	by	by	ADP
ajst-28811	50	2	ranking	rank	VERB
ajst-28811	50	3	these	these	DET
ajst-28811	50	4	relational	relational	ADJ
ajst-28811	50	5	degrees	degree	NOUN
ajst-28811	50	6	,	,	PUNCT
ajst-28811	50	7	gra	gra	PROPN
ajst-28811	50	8	reduces	reduce	VERB
ajst-28811	50	9	the	the	DET
ajst-28811	50	10	dimensionality	dimensionality	NOUN
ajst-28811	50	11	of	of	ADP
ajst-28811	50	12	the	the	DET
ajst-28811	50	13	data	datum	NOUN
ajst-28811	50	14	,	,	PUNCT
ajst-28811	50	15	effectively	effectively	ADV
ajst-28811	50	16	selecting	select	VERB
ajst-28811	50	17	the	the	DET
ajst-28811	50	18	key	key	ADJ
ajst-28811	50	19	influencing	influence	VERB
ajst-28811	50	20	factors	factor	NOUN
ajst-28811	50	21	from	from	ADP
ajst-28811	50	22	the	the	DET
ajst-28811	50	23	feature	feature	NOUN
ajst-28811	50	24	data	datum	NOUN
ajst-28811	50	25	sequences	sequence	NOUN
ajst-28811	50	26	,	,	PUNCT
ajst-28811	50	27	eliminating	eliminate	VERB
ajst-28811	50	28	redundant	redundant	ADJ
ajst-28811	50	29	information	information	NOUN
ajst-28811	50	30	,	,	PUNCT
ajst-28811	50	31	and	and	CCONJ
ajst-28811	50	32	comprehensively	comprehensively	ADV
ajst-28811	50	33	extracting	extract	VERB
ajst-28811	50	34	valuable	valuable	ADJ
ajst-28811	50	35	information	information	NOUN
ajst-28811	50	36	from	from	ADP
ajst-28811	50	37	the	the	DET
ajst-28811	50	38	dataset[18	dataset[18	PROPN
ajst-28811	50	39	]	]	PUNCT
ajst-28811	50	40	.	.	PUNCT
ajst-28811	51	1	when	when	SCONJ
ajst-28811	51	2	processing	processing	NOUN
ajst-28811	51	3	field	field	NOUN
ajst-28811	51	4	datasets	dataset	NOUN
ajst-28811	51	5	,	,	PUNCT
ajst-28811	51	6	due	due	ADP
ajst-28811	51	7	to	to	ADP
ajst-28811	51	8	the	the	DET
ajst-28811	51	9	complex	complex	ADJ
ajst-28811	51	10	nonlinear	nonlinear	ADJ
ajst-28811	51	11	relationships	relationship	NOUN
ajst-28811	51	12	between	between	ADP
ajst-28811	51	13	influencing	influence	VERB
ajst-28811	51	14	factors	factor	NOUN
ajst-28811	51	15	and	and	CCONJ
ajst-28811	51	16	the	the	DET
ajst-28811	51	17	fracturing	fracturing	NOUN
ajst-28811	51	18	effect	effect	NOUN
ajst-28811	51	19	evaluation	evaluation	NOUN
ajst-28811	51	20	index	index	NOUN
ajst-28811	51	21	(	(	PUNCT
ajst-28811	51	22	daily	daily	ADJ
ajst-28811	51	23	gas	gas	NOUN
ajst-28811	51	24	production	production	NOUN
ajst-28811	51	25	)	)	PUNCT
ajst-28811	51	26	,	,	PUNCT
ajst-28811	51	27	directly	directly	ADV
ajst-28811	51	28	using	use	VERB
ajst-28811	51	29	all	all	DET
ajst-28811	51	30	the	the	DET
ajst-28811	51	31	influencing	influence	VERB
ajst-28811	51	32	factor	factor	NOUN
ajst-28811	51	33	data	datum	NOUN
ajst-28811	51	34	as	as	ADP
ajst-28811	51	35	input	input	NOUN
ajst-28811	51	36	parameters	parameter	NOUN
ajst-28811	51	37	to	to	PART
ajst-28811	51	38	construct	construct	VERB
ajst-28811	51	39	the	the	DET
ajst-28811	51	40	model	model	NOUN
ajst-28811	51	41	can	can	AUX
ajst-28811	51	42	make	make	VERB
ajst-28811	51	43	the	the	DET
ajst-28811	51	44	model	model	NOUN
ajst-28811	51	45	overly	overly	ADV
ajst-28811	51	46	complex	complex	ADJ
ajst-28811	51	47	,	,	PUNCT
ajst-28811	51	48	leading	lead	VERB
ajst-28811	51	49	to	to	ADP
ajst-28811	51	50	overfitting	overfitte	VERB
ajst-28811	51	51	or	or	CCONJ
ajst-28811	51	52	underfitting	underfitting	NOUN
ajst-28811	51	53	,	,	PUNCT
ajst-28811	51	54	and	and	CCONJ
ajst-28811	51	55	increasing	increase	VERB
ajst-28811	51	56	the	the	DET
ajst-28811	51	57	difficulty	difficulty	NOUN
ajst-28811	51	58	of	of	ADP
ajst-28811	51	59	model	model	NOUN
ajst-28811	51	60	training	training	NOUN
ajst-28811	51	61	.	.	PUNCT
ajst-28811	52	1	by	by	ADP
ajst-28811	52	2	employing	employ	VERB
ajst-28811	52	3	grey	grey	ADJ
ajst-28811	52	4	relational	relational	ADJ
ajst-28811	52	5	analysis	analysis	NOUN
ajst-28811	52	6	to	to	PART
ajst-28811	52	7	select	select	VERB
ajst-28811	52	8	the	the	DET
ajst-28811	52	9	primary	primary	ADJ
ajst-28811	52	10	control	control	NOUN
ajst-28811	52	11	factors	factor	NOUN
ajst-28811	52	12	,	,	PUNCT
ajst-28811	52	13	this	this	DET
ajst-28811	52	14	method	method	NOUN
ajst-28811	52	15	not	not	PART
ajst-28811	52	16	only	only	ADV
ajst-28811	52	17	retains	retain	VERB
ajst-28811	52	18	the	the	DET
ajst-28811	52	19	original	original	ADJ
ajst-28811	52	20	information	information	NOUN
ajst-28811	52	21	to	to	ADP
ajst-28811	52	22	the	the	DET
ajst-28811	52	23	greatest	great	ADJ
ajst-28811	52	24	extent	extent	NOUN
ajst-28811	52	25	but	but	CCONJ
ajst-28811	52	26	also	also	ADV
ajst-28811	52	27	simplifies	simplify	VERB
ajst-28811	52	28	the	the	DET
ajst-28811	52	29	problem.in	problem.in	NOUN
ajst-28811	52	30	this	this	DET
ajst-28811	52	31	study	study	NOUN
ajst-28811	52	32	,	,	PUNCT
ajst-28811	52	33	the	the	DET
ajst-28811	52	34	dataset	dataset	NOUN
ajst-28811	52	35	consists	consist	VERB
ajst-28811	52	36	of	of	ADP
ajst-28811	52	37	120	120	NUM
ajst-28811	52	38	samples	sample	NOUN
ajst-28811	52	39	,	,	PUNCT
ajst-28811	52	40	each	each	PRON
ajst-28811	52	41	containing	contain	VERB
ajst-28811	52	42	14	14	NUM
ajst-28811	52	43	variables	variable	NOUN
ajst-28811	52	44	(	(	PUNCT
ajst-28811	52	45	fracturing	fracture	VERB
ajst-28811	52	46	effect	effect	NOUN
ajst-28811	52	47	influencing	influence	VERB
ajst-28811	52	48	factors	factor	NOUN
ajst-28811	52	49	)	)	PUNCT
ajst-28811	52	50	and	and	CCONJ
ajst-28811	52	51	1	1	NUM
ajst-28811	52	52	dependent	dependent	ADJ
ajst-28811	52	53	variable	variable	NOUN
ajst-28811	52	54	(	(	PUNCT
ajst-28811	52	55	daily	daily	ADJ
ajst-28811	52	56	gas	gas	NOUN
ajst-28811	52	57	production	production	NOUN
ajst-28811	52	58	)	)	PUNCT
ajst-28811	52	59	.	.	PUNCT
ajst-28811	53	1	the	the	DET
ajst-28811	53	2	prediction	prediction	NOUN
ajst-28811	53	3	model	model	NOUN
ajst-28811	53	4	can	can	AUX
ajst-28811	53	5	be	be	AUX
ajst-28811	53	6	influenced	influence	VERB
ajst-28811	53	7	by	by	ADP
ajst-28811	53	8	the	the	DET
ajst-28811	53	9	dimensionality	dimensionality	NOUN
ajst-28811	53	10	of	of	ADP
ajst-28811	53	11	the	the	DET
ajst-28811	53	12	data	datum	NOUN
ajst-28811	53	13	,	,	PUNCT
ajst-28811	53	14	which	which	PRON
ajst-28811	53	15	may	may	AUX
ajst-28811	53	16	result	result	VERB
ajst-28811	53	17	in	in	ADP
ajst-28811	53	18	inaccurate	inaccurate	ADJ
ajst-28811	53	19	prediction	prediction	NOUN
ajst-28811	53	20	outcomes	outcome	NOUN
ajst-28811	53	21	.	.	PUNCT
ajst-28811	54	1	therefore	therefore	ADV
ajst-28811	54	2	,	,	PUNCT
ajst-28811	54	3	before	before	ADP
ajst-28811	54	4	conducting	conduct	VERB
ajst-28811	54	5	grey	grey	ADJ
ajst-28811	54	6	relational	relational	ADJ
ajst-28811	54	7	analysis	analysis	NOUN
ajst-28811	54	8	,	,	PUNCT
ajst-28811	54	9	the	the	DET
ajst-28811	54	10	data	datum	NOUN
ajst-28811	54	11	must	must	AUX
ajst-28811	54	12	be	be	AUX
ajst-28811	54	13	preprocessed	preprocesse	VERB
ajst-28811	54	14	.	.	PUNCT
ajst-28811	55	1	the	the	DET
ajst-28811	55	2	first	first	ADJ
ajst-28811	55	3	step	step	NOUN
ajst-28811	55	4	is	be	AUX
ajst-28811	55	5	to	to	PART
ajst-28811	55	6	perform	perform	VERB
ajst-28811	55	7	dimensionless	dimensionless	ADJ
ajst-28811	55	8	processing	processing	NOUN
ajst-28811	55	9	(	(	PUNCT
ajst-28811	55	10	range	range	NOUN
ajst-28811	55	11	normalization	normalization	NOUN
ajst-28811	55	12	)	)	PUNCT
ajst-28811	55	13	on	on	ADP
ajst-28811	55	14	all	all	DET
ajst-28811	55	15	data	datum	NOUN
ajst-28811	55	16	,	,	PUNCT
ajst-28811	55	17	ensuring	ensure	VERB
ajst-28811	55	18	that	that	SCONJ
ajst-28811	55	19	each	each	DET
ajst-28811	55	20	variable	variable	NOUN
ajst-28811	55	21	is	be	AUX
ajst-28811	55	22	treated	treat	VERB
ajst-28811	55	23	consistently	consistently	ADV
ajst-28811	55	24	and	and	CCONJ
ajst-28811	55	25	in	in	ADP
ajst-28811	55	26	comparable	comparable	ADJ
ajst-28811	55	27	units	unit	NOUN
ajst-28811	55	28	.	.	PUNCT
ajst-28811	56	1			NOUN
ajst-28811	56	2			PUNCT
ajst-28811	56	3			NOUN
ajst-28811	56	4			SYM
ajst-28811	56	5			NOUN
ajst-28811	56	6			PUNCT
ajst-28811	56	7	*	*	PUNCT
ajst-28811	56	8	min	min	PROPN
ajst-28811	56	9	max	max	PROPN
ajst-28811	56	10	min	min	PROPN
ajst-28811	57	1	i	i	PRON
ajst-28811	57	2	i	i	PRON
ajst-28811	57	3	i	i	VERB
ajst-28811	57	4	x	x	X
ajst-28811	57	5	xix	xix	NOUN
ajst-28811	57	6	x	x	PUNCT
ajst-28811	57	7	x	x	SYM
ajst-28811	57	8			PROPN
ajst-28811	57	9			NUM
ajst-28811	57	10			NOUN
ajst-28811	57	11	(	(	PUNCT
ajst-28811	57	12	1	1	NUM
ajst-28811	57	13	)	)	PUNCT
ajst-28811	57	14	where	where	SCONJ
ajst-28811	57	15	:	:	PUNCT
ajst-28811	57	16	ix	ix	PROPN
ajst-28811	57	17	is	be	AUX
ajst-28811	57	18	the	the	DET
ajst-28811	57	19	value	value	NOUN
ajst-28811	57	20	of	of	ADP
ajst-28811	57	21	the	the	DET
ajst-28811	57	22	sample	sample	NOUN
ajst-28811	57	23	feature	feature	NOUN
ajst-28811	57	24	,	,	PUNCT
ajst-28811	57	25	*	*	PUNCT
ajst-28811	57	26	x	x	X
ajst-28811	57	27	is	be	AUX
ajst-28811	57	28	the	the	DET
ajst-28811	57	29	normalized	normalize	VERB
ajst-28811	57	30	value	value	NOUN
ajst-28811	57	31	,	,	PUNCT
ajst-28811	57	32			ADJ
ajst-28811	57	33	max	max	NOUN
ajst-28811	57	34	ix	ix	ADV
ajst-28811	57	35	are	be	AUX
ajst-28811	57	36	the	the	DET
ajst-28811	57	37	maximum	maximum	ADJ
ajst-28811	57	38	value	value	NOUN
ajst-28811	57	39	of	of	ADP
ajst-28811	57	40	the	the	DET
ajst-28811	57	41	sample	sample	NOUN
ajst-28811	57	42	features	feature	NOUN
ajst-28811	57	43	,	,	PUNCT
ajst-28811	57	44			PROPN
ajst-28811	57	45	min	min	NOUN
ajst-28811	57	46	ix	ix	PROPN
ajst-28811	57	47	is	be	AUX
ajst-28811	57	48	the	the	DET
ajst-28811	57	49	minimum	minimum	ADJ
ajst-28811	57	50	value	value	NOUN
ajst-28811	57	51	of	of	ADP
ajst-28811	57	52	the	the	DET
ajst-28811	57	53	sample	sample	NOUN
ajst-28811	57	54	feature	feature	NOUN
ajst-28811	57	55	.	.	PUNCT
ajst-28811	58	1	the	the	DET
ajst-28811	58	2	specific	specific	ADJ
ajst-28811	58	3	steps	step	NOUN
ajst-28811	58	4	of	of	ADP
ajst-28811	58	5	grey	grey	ADJ
ajst-28811	58	6	relational	relational	ADJ
ajst-28811	58	7	analysis	analysis	NOUN
ajst-28811	58	8	(	(	PUNCT
ajst-28811	58	9	gra	gra	NOUN
ajst-28811	58	10	)	)	PUNCT
ajst-28811	58	11	are	be	AUX
ajst-28811	58	12	as	as	SCONJ
ajst-28811	58	13	follows	follow	VERB
ajst-28811	58	14	[	[	X
ajst-28811	58	15	19	19	NUM
ajst-28811	58	16	]	]	SYM
ajst-28811	58	17	:	:	PUNCT
ajst-28811	58	18	1	1	X
ajst-28811	58	19	)	)	PUNCT
ajst-28811	58	20	determine	determine	VERB
ajst-28811	58	21	the	the	DET
ajst-28811	58	22	reference	reference	NOUN
ajst-28811	58	23	sequence	sequence	NOUN
ajst-28811	58	24	and	and	CCONJ
ajst-28811	58	25	comparison	comparison	NOUN
ajst-28811	58	26	sequences	sequence	NOUN
ajst-28811	58	27	;	;	PUNCT
ajst-28811	58	28	2	2	X
ajst-28811	58	29	)	)	PUNCT
ajst-28811	58	30	analyze	analyze	VERB
ajst-28811	58	31	the	the	DET
ajst-28811	58	32	sequences	sequence	NOUN
ajst-28811	58	33	,	,	PUNCT
ajst-28811	58	34	where	where	SCONJ
ajst-28811	58	35	the	the	DET
ajst-28811	58	36	sequence	sequence	NOUN
ajst-28811	58	37	that	that	PRON
ajst-28811	58	38	reflects	reflect	VERB
ajst-28811	58	39	the	the	DET
ajst-28811	58	40	system	system	NOUN
ajst-28811	58	41	's	's	PART
ajst-28811	58	42	behavioral	behavioral	ADJ
ajst-28811	58	43	characteristics	characteristic	NOUN
ajst-28811	58	44	is	be	AUX
ajst-28811	58	45	called	call	VERB
ajst-28811	58	46	the	the	DET
ajst-28811	58	47	reference	reference	NOUN
ajst-28811	58	48	sequence	sequence	NOUN
ajst-28811	58	49	,	,	PUNCT
ajst-28811	58	50	and	and	CCONJ
ajst-28811	58	51	the	the	DET
ajst-28811	58	52	sequence	sequence	NOUN
ajst-28811	58	53	composed	compose	VERB
ajst-28811	58	54	of	of	ADP
ajst-28811	58	55	factors	factor	NOUN
ajst-28811	58	56	influencing	influence	VERB
ajst-28811	58	57	the	the	DET
ajst-28811	58	58	system	system	NOUN
ajst-28811	58	59	's	's	PART
ajst-28811	58	60	behavior	behavior	NOUN
ajst-28811	58	61	is	be	AUX
ajst-28811	58	62	called	call	VERB
ajst-28811	58	63	the	the	DET
ajst-28811	58	64	comparison	comparison	NOUN
ajst-28811	58	65	sequence	sequence	NOUN
ajst-28811	58	66	.	.	PUNCT
ajst-28811	59	1			NOUN
ajst-28811	59	2			PROPN
ajst-28811	59	3	1	1	PROPN
ajst-28811	59	4	,	,	PUNCT
ajst-28811	59	5	2	2	NUM
ajst-28811	59	6	,	,	PUNCT
ajst-28811	59	7	,	,	PUNCT
ajst-28811	59	8	y	y	PROPN
ajst-28811	59	9	y	y	PROPN
ajst-28811	59	10	k	k	PROPN
ajst-28811	59	11	k	k	PROPN
ajst-28811	60	1	n	n	PROPN
ajst-28811	60	2			PROPN
ajst-28811	60	3			NOUN
ajst-28811	60	4	(	(	PUNCT
ajst-28811	60	5	2	2	NUM
ajst-28811	60	6	)	)	PUNCT
ajst-28811	60	7			NOUN
ajst-28811	60	8			NOUN
ajst-28811	60	9	1	1	PROPN
ajst-28811	60	10	,	,	PUNCT
ajst-28811	60	11	2	2	NUM
ajst-28811	60	12	,	,	PUNCT
ajst-28811	60	13	,	,	PUNCT
ajst-28811	60	14	,	,	PUNCT
ajst-28811	60	15	1	1	NUM
ajst-28811	60	16	,	,	PUNCT
ajst-28811	60	17	2	2	NUM
ajst-28811	60	18	,	,	PUNCT
ajst-28811	60	19	,	,	PUNCT
ajst-28811	60	20	i	i	PRON
ajst-28811	60	21	ix	ix	ADP
ajst-28811	60	22	x	x	PROPN
ajst-28811	60	23	k	k	PROPN
ajst-28811	60	24	k	k	PROPN
ajst-28811	61	1	n	n	CCONJ
ajst-28811	61	2	i	i	PRON
ajst-28811	61	3	m	m	ADV
ajst-28811	61	4			NUM
ajst-28811	61	5			PROPN
ajst-28811	61	6			NOUN
ajst-28811	61	7	(	(	PUNCT
ajst-28811	61	8	3	3	NUM
ajst-28811	61	9	)	)	PUNCT
ajst-28811	61	10	where	where	SCONJ
ajst-28811	61	11	:	:	PUNCT
ajst-28811	61	12	y	y	PROPN
ajst-28811	61	13	is	be	AUX
ajst-28811	61	14	the	the	DET
ajst-28811	61	15	reference	reference	NOUN
ajst-28811	61	16	sequence	sequence	NOUN
ajst-28811	61	17	(	(	PUNCT
ajst-28811	61	18	daily	daily	ADJ
ajst-28811	61	19	gas	gas	NOUN
ajst-28811	61	20	production	production	NOUN
ajst-28811	61	21	)	)	PUNCT
ajst-28811	61	22	;	;	PUNCT
ajst-28811	61	23	ix	ix	X
ajst-28811	61	24	is	be	AUX
ajst-28811	61	25	the	the	DET
ajst-28811	61	26	comparison	comparison	NOUN
ajst-28811	61	27	sequence	sequence	NOUN
ajst-28811	61	28	(	(	PUNCT
ajst-28811	61	29	influencing	influence	VERB
ajst-28811	61	30	factors	factor	NOUN
ajst-28811	61	31	)	)	PUNCT
ajst-28811	61	32	;	;	PUNCT
ajst-28811	61	33	k	k	X
ajst-28811	61	34	is	be	AUX
ajst-28811	61	35	the	the	DET
ajst-28811	61	36	number	number	NOUN
ajst-28811	61	37	of	of	ADP
ajst-28811	61	38	data	datum	NOUN
ajst-28811	61	39	points	point	NOUN
ajst-28811	61	40	in	in	ADP
ajst-28811	61	41	the	the	DET
ajst-28811	61	42	sequence	sequence	NOUN
ajst-28811	61	43	,	,	PUNCT
ajst-28811	61	44	k	k	PROPN
ajst-28811	61	45	=	=	SYM
ajst-28811	61	46	120	120	NUM
ajst-28811	61	47	;	;	PUNCT
ajst-28811	61	48	i	i	PRON
ajst-28811	61	49	refers	refer	VERB
ajst-28811	61	50	to	to	ADP
ajst-28811	61	51	the	the	DET
ajst-28811	61	52	number	number	NOUN
ajst-28811	61	53	of	of	ADP
ajst-28811	61	54	comparison	comparison	NOUN
ajst-28811	61	55	sequences	sequence	NOUN
ajst-28811	61	56	,	,	PUNCT
ajst-28811	61	57	i=14	i=14	PROPN
ajst-28811	61	58	3	3	NUM
ajst-28811	61	59	)	)	PUNCT
ajst-28811	61	60	dimensionality	dimensionality	NOUN
ajst-28811	61	61	reduction	reduction	NOUN
ajst-28811	61	62	prior	prior	ADV
ajst-28811	61	63	to	to	ADP
ajst-28811	61	64	analyzing	analyze	VERB
ajst-28811	61	65	the	the	DET
ajst-28811	61	66	sequences	sequence	NOUN
ajst-28811	61	67	,	,	PUNCT
ajst-28811	61	68	normalization	normalization	NOUN
ajst-28811	61	69	has	have	AUX
ajst-28811	61	70	been	be	AUX
ajst-28811	61	71	performed	perform	VERB
ajst-28811	61	72	on	on	ADP
ajst-28811	61	73	the	the	DET
ajst-28811	61	74	data	datum	NOUN
ajst-28811	61	75	.	.	PUNCT
ajst-28811	62	1	4	4	X
ajst-28811	62	2	)	)	PUNCT
ajst-28811	62	3	calculating	calculate	VERB
ajst-28811	62	4	the	the	DET
ajst-28811	62	5	correlation	correlation	NOUN
ajst-28811	62	6	coefficient	coefficient	NOUN
ajst-28811	62	7	the	the	DET
ajst-28811	62	8	correlation	correlation	NOUN
ajst-28811	62	9	coefficient	coefficient	NOUN
ajst-28811	62	10	reflects	reflect	VERB
ajst-28811	62	11	the	the	DET
ajst-28811	62	12	degree	degree	NOUN
ajst-28811	62	13	of	of	ADP
ajst-28811	62	14	association	association	NOUN
ajst-28811	62	15	between	between	ADP
ajst-28811	62	16	a	a	DET
ajst-28811	62	17	specific	specific	ADJ
ajst-28811	62	18	data	data	NOUN
ajst-28811	62	19	point	point	NOUN
ajst-28811	62	20	in	in	ADP
ajst-28811	62	21	the	the	DET
ajst-28811	62	22	comparison	comparison	NOUN
ajst-28811	62	23	sequence	sequence	NOUN
ajst-28811	62	24	and	and	CCONJ
ajst-28811	62	25	its	its	PRON
ajst-28811	62	26	corresponding	correspond	VERB
ajst-28811	62	27	data	datum	NOUN
ajst-28811	62	28	point	point	NOUN
ajst-28811	62	29	in	in	ADP
ajst-28811	62	30	the	the	DET
ajst-28811	62	31	reference	reference	NOUN
ajst-28811	62	32	sequence	sequence	NOUN
ajst-28811	62	33	.	.	PUNCT
ajst-28811	63	1	the	the	DET
ajst-28811	63	2	expression	expression	NOUN
ajst-28811	63	3	is	be	AUX
ajst-28811	63	4	as	as	SCONJ
ajst-28811	63	5	follows	follow	VERB
ajst-28811	63	6	:	:	PUNCT
ajst-28811	63	7			NOUN
ajst-28811	64	1			SYM
ajst-28811	64	2			NOUN
ajst-28811	64	3			SYM
ajst-28811	64	4			NOUN
ajst-28811	64	5			SYM
ajst-28811	64	6			NOUN
ajst-28811	64	7			SYM
ajst-28811	64	8			NOUN
ajst-28811	64	9			SYM
ajst-28811	64	10			NOUN
ajst-28811	64	11			SYM
ajst-28811	64	12			NOUN
ajst-28811	64	13			PUNCT
ajst-28811	64	14			NOUN
ajst-28811	64	15			PROPN
ajst-28811	64	16	min	min	NOUN
ajst-28811	64	17	min	min	PROPN
ajst-28811	65	1	max	max	PROPN
ajst-28811	65	2	max	max	PROPN
ajst-28811	65	3	max	max	PROPN
ajst-28811	65	4	max	max	PROPN
ajst-28811	66	1	i	i	PRON
ajst-28811	66	2	i	i	PRON
ajst-28811	67	1	i	i	PRON
ajst-28811	68	1	i	i	VERB
ajst-28811	68	2	k	k	VERB
ajst-28811	69	1	i	i	PRON
ajst-28811	69	2	i	i	PRON
ajst-28811	70	1	i	i	PRON
ajst-28811	71	1	i	i	VERB
ajst-28811	72	1	k	k	VERB
ajst-28811	72	2	y	y	PROPN
ajst-28811	73	1	k	k	PROPN
ajst-28811	73	2	x	x	PUNCT
ajst-28811	74	1	k	k	PROPN
ajst-28811	74	2	y	y	PROPN
ajst-28811	74	3	k	k	PROPN
ajst-28811	74	4	x	x	PUNCT
ajst-28811	75	1	k	k	PROPN
ajst-28811	75	2	k	k	PROPN
ajst-28811	76	1	y	y	PROPN
ajst-28811	76	2	k	k	PROPN
ajst-28811	76	3	x	x	X
ajst-28811	77	1	k	k	PROPN
ajst-28811	77	2	y	y	PROPN
ajst-28811	77	3	k	k	PROPN
ajst-28811	77	4	x	x	X
ajst-28811	77	5	k	k	NOUN
ajst-28811	77	6			ADP
ajst-28811	77	7			PROPN
ajst-28811	77	8			ADP
ajst-28811	77	9			PROPN
ajst-28811	77	10			VERB
ajst-28811	77	11			PROPN
ajst-28811	77	12			PROPN
ajst-28811	77	13			PROPN
ajst-28811	77	14			VERB
ajst-28811	77	15			NOUN
ajst-28811	77	16	(	(	PUNCT
ajst-28811	77	17	4	4	NUM
ajst-28811	77	18	)	)	PUNCT
ajst-28811	77	19	234	234	NUM
ajst-28811	77	20	where	where	SCONJ
ajst-28811	77	21	:	:	PUNCT
ajst-28811	77	22	i	i	PROPN
ajst-28811	77	23	is	be	AUX
ajst-28811	77	24	the	the	DET
ajst-28811	77	25	correlation	correlation	NOUN
ajst-28811	77	26	coefficient	coefficient	NOUN
ajst-28811	77	27	;	;	PUNCT
ajst-28811	77	28			PROPN
ajst-28811	77	29	y	y	PUNCT
ajst-28811	77	30	k	k	PROPN
ajst-28811	77	31	is	be	AUX
ajst-28811	77	32	the	the	DET
ajst-28811	77	33	data	datum	NOUN
ajst-28811	77	34	of	of	ADP
ajst-28811	77	35	the	the	DET
ajst-28811	77	36	reference	reference	NOUN
ajst-28811	77	37	sequence	sequence	NOUN
ajst-28811	77	38	;	;	PUNCT
ajst-28811	77	39			PROPN
ajst-28811	77	40	ix	ix	INTJ
ajst-28811	77	41	k	k	PROPN
ajst-28811	77	42	is	be	AUX
ajst-28811	77	43	the	the	DET
ajst-28811	77	44	data	datum	NOUN
ajst-28811	77	45	of	of	ADP
ajst-28811	77	46	the	the	DET
ajst-28811	77	47	comparison	comparison	NOUN
ajst-28811	77	48	sequence	sequence	NOUN
ajst-28811	77	49	;	;	PUNCT
ajst-28811	77	50			ADJ
ajst-28811	77	51	0,1	0,1	NOUN
ajst-28811	77	52			NOUN
ajst-28811	77	53	is	be	AUX
ajst-28811	77	54	the	the	DET
ajst-28811	77	55	distinguishing	distinguish	VERB
ajst-28811	77	56	coefficient	coefficient	NOUN
ajst-28811	77	57	,	,	PUNCT
ajst-28811	77	58	typically	typically	ADV
ajst-28811	77	59	set	set	VERB
ajst-28811	77	60	to	to	ADP
ajst-28811	77	61	0.5	0.5	NUM
ajst-28811	77	62	.	.	NOUN
ajst-28811	77	63	5	5	NUM
ajst-28811	77	64	)	)	PUNCT
ajst-28811	77	65	calculating	calculate	VERB
ajst-28811	77	66	the	the	DET
ajst-28811	77	67	relational	relational	ADJ
ajst-28811	77	68	degree	degree	NOUN
ajst-28811	77	69	the	the	DET
ajst-28811	77	70	relational	relational	ADJ
ajst-28811	77	71	degree	degree	NOUN
ajst-28811	77	72	reflects	reflect	VERB
ajst-28811	77	73	the	the	DET
ajst-28811	77	74	degree	degree	NOUN
ajst-28811	77	75	of	of	ADP
ajst-28811	77	76	association	association	NOUN
ajst-28811	77	77	between	between	ADP
ajst-28811	77	78	the	the	DET
ajst-28811	77	79	comparison	comparison	NOUN
ajst-28811	77	80	sequence	sequence	NOUN
ajst-28811	77	81	and	and	CCONJ
ajst-28811	77	82	the	the	DET
ajst-28811	77	83	reference	reference	NOUN
ajst-28811	77	84	sequence	sequence	NOUN
ajst-28811	77	85	,	,	PUNCT
ajst-28811	77	86	denoted	denote	VERB
ajst-28811	77	87	as	as	ADP
ajst-28811	77	88	ir	ir	PROPN
ajst-28811	77	89	.	.	PUNCT
ajst-28811	78	1	the	the	DET
ajst-28811	78	2	formula	formula	NOUN
ajst-28811	78	3	is	be	AUX
ajst-28811	78	4	as	as	SCONJ
ajst-28811	78	5	follows	follow	VERB
ajst-28811	78	6	:	:	PUNCT
ajst-28811	78	7			NOUN
ajst-28811	78	8			SYM
ajst-28811	78	9	1	1	NUM
ajst-28811	78	10	1	1	NUM
ajst-28811	79	1	i	i	PRON
ajst-28811	79	2	i	i	PRON
ajst-28811	79	3	k	k	VERB
ajst-28811	80	1	n	n	VERB
ajst-28811	80	2	r	r	NOUN
ajst-28811	80	3	k	k	NOUN
ajst-28811	80	4	n	n	CCONJ
ajst-28811	80	5			NOUN
ajst-28811	80	6			NUM
ajst-28811	81	1			ADJ
ajst-28811	81	2			X
ajst-28811	81	3	(	(	PUNCT
ajst-28811	81	4	5	5	NUM
ajst-28811	81	5	)	)	PUNCT
ajst-28811	82	1	where	where	SCONJ
ajst-28811	82	2	:	:	PUNCT
ajst-28811	82	3			PROPN
ajst-28811	82	4	0,1ir	0,1ir	NUM
ajst-28811	82	5			NOUN
ajst-28811	82	6	.	.	PUNCT
ajst-28811	83	1	6	6	X
ajst-28811	83	2	)	)	PUNCT
ajst-28811	83	3	sorting	sort	VERB
ajst-28811	83	4	the	the	DET
ajst-28811	83	5	relational	relational	ADJ
ajst-28811	83	6	degree	degree	NOUN
ajst-28811	83	7	the	the	DET
ajst-28811	83	8	relational	relational	ADJ
ajst-28811	83	9	degrees	degree	NOUN
ajst-28811	83	10	can	can	AUX
ajst-28811	83	11	be	be	AUX
ajst-28811	83	12	sorted	sort	VERB
ajst-28811	83	13	in	in	ADP
ajst-28811	83	14	descending	descend	VERB
ajst-28811	83	15	order	order	NOUN
ajst-28811	83	16	to	to	PART
ajst-28811	83	17	assess	assess	VERB
ajst-28811	83	18	the	the	DET
ajst-28811	83	19	influence	influence	NOUN
ajst-28811	83	20	of	of	ADP
ajst-28811	83	21	each	each	DET
ajst-28811	83	22	factor	factor	NOUN
ajst-28811	83	23	,	,	PUNCT
ajst-28811	83	24	allowing	allow	VERB
ajst-28811	83	25	for	for	ADP
ajst-28811	83	26	the	the	DET
ajst-28811	83	27	selection	selection	NOUN
ajst-28811	83	28	of	of	ADP
ajst-28811	83	29	the	the	DET
ajst-28811	83	30	dominant	dominant	ADJ
ajst-28811	83	31	factors	factor	NOUN
ajst-28811	83	32	based	base	VERB
ajst-28811	83	33	on	on	ADP
ajst-28811	83	34	their	their	PRON
ajst-28811	83	35	impact	impact	NOUN
ajst-28811	83	36	.	.	PUNCT
ajst-28811	84	1	2.2	2.2	NUM
ajst-28811	84	2	.	.	PUNCT
ajst-28811	85	1	extreme	extreme	ADJ
ajst-28811	85	2	gradient	gradient	NOUN
ajst-28811	85	3	boosting	boost	VERB
ajst-28811	85	4	algorithm	algorithm	NOUN
ajst-28811	85	5	the	the	DET
ajst-28811	85	6	extreme	extreme	ADJ
ajst-28811	85	7	gradient	gradient	NOUN
ajst-28811	85	8	boosting	boost	VERB
ajst-28811	85	9	algorithm(xgboost	algorithm(xgboost	PROPN
ajst-28811	85	10	)	)	PUNCT
ajst-28811	85	11	is	be	AUX
ajst-28811	85	12	a	a	DET
ajst-28811	85	13	parallel	parallel	ADJ
ajst-28811	85	14	ensemble	ensemble	ADJ
ajst-28811	85	15	learning	learning	NOUN
ajst-28811	85	16	method	method	NOUN
ajst-28811	85	17	that	that	PRON
ajst-28811	85	18	uses	use	VERB
ajst-28811	85	19	the	the	DET
ajst-28811	85	20	idea	idea	NOUN
ajst-28811	85	21	of	of	ADP
ajst-28811	85	22	boosting	boost	VERB
ajst-28811	85	23	,	,	PUNCT
ajst-28811	85	24	where	where	SCONJ
ajst-28811	85	25	subtrees	subtree	NOUN
ajst-28811	85	26	are	be	AUX
ajst-28811	85	27	generated	generate	VERB
ajst-28811	85	28	in	in	ADP
ajst-28811	85	29	parallel	parallel	NOUN
ajst-28811	85	30	and	and	CCONJ
ajst-28811	85	31	the	the	DET
ajst-28811	85	32	final	final	ADJ
ajst-28811	85	33	results	result	NOUN
ajst-28811	85	34	are	be	AUX
ajst-28811	85	35	obtained	obtain	VERB
ajst-28811	85	36	through	through	ADP
ajst-28811	85	37	a	a	DET
ajst-28811	85	38	weighted	weighted	ADJ
ajst-28811	85	39	aggregation	aggregation	NOUN
ajst-28811	85	40	of	of	ADP
ajst-28811	85	41	these	these	DET
ajst-28811	85	42	trees	tree	NOUN
ajst-28811	85	43	.	.	PUNCT
ajst-28811	86	1	it	it	PRON
ajst-28811	86	2	is	be	AUX
ajst-28811	86	3	highly	highly	ADV
ajst-28811	86	4	effective	effective	ADJ
ajst-28811	86	5	in	in	ADP
ajst-28811	86	6	handling	handle	VERB
ajst-28811	86	7	complex	complex	ADJ
ajst-28811	86	8	datasets[20	datasets[20	NOUN
ajst-28811	86	9	]	]	PUNCT
ajst-28811	86	10	.	.	PUNCT
ajst-28811	87	1	due	due	ADP
ajst-28811	87	2	to	to	ADP
ajst-28811	87	3	the	the	DET
ajst-28811	87	4	complexity	complexity	NOUN
ajst-28811	87	5	of	of	ADP
ajst-28811	87	6	shale	shale	NOUN
ajst-28811	87	7	gas	gas	NOUN
ajst-28811	87	8	production	production	NOUN
ajst-28811	87	9	datasets	dataset	NOUN
ajst-28811	87	10	,	,	PUNCT
ajst-28811	87	11	traditional	traditional	ADJ
ajst-28811	87	12	machine	machine	NOUN
ajst-28811	87	13	learning	learn	VERB
ajst-28811	87	14	techniques	technique	NOUN
ajst-28811	87	15	often	often	ADV
ajst-28811	87	16	fail	fail	VERB
ajst-28811	87	17	to	to	PART
ajst-28811	87	18	meet	meet	VERB
ajst-28811	87	19	the	the	DET
ajst-28811	87	20	practical	practical	ADJ
ajst-28811	87	21	requirements	requirement	NOUN
ajst-28811	87	22	of	of	ADP
ajst-28811	87	23	engineering	engineering	NOUN
ajst-28811	87	24	applications	application	NOUN
ajst-28811	87	25	.	.	PUNCT
ajst-28811	88	1	therefore	therefore	ADV
ajst-28811	88	2	,	,	PUNCT
ajst-28811	88	3	by	by	ADP
ajst-28811	88	4	examining	examine	VERB
ajst-28811	88	5	the	the	DET
ajst-28811	88	6	relationship	relationship	NOUN
ajst-28811	88	7	between	between	ADP
ajst-28811	88	8	various	various	ADJ
ajst-28811	88	9	fracturing	fracturing	NOUN
ajst-28811	88	10	effect	effect	NOUN
ajst-28811	88	11	influencing	influence	VERB
ajst-28811	88	12	factors	factor	NOUN
ajst-28811	88	13	and	and	CCONJ
ajst-28811	88	14	normalized	normalize	VERB
ajst-28811	88	15	daily	daily	ADJ
ajst-28811	88	16	gas	gas	NOUN
ajst-28811	88	17	production	production	NOUN
ajst-28811	88	18	,	,	PUNCT
ajst-28811	88	19	xgboost	xgboost	PRON
ajst-28811	88	20	can	can	AUX
ajst-28811	88	21	be	be	AUX
ajst-28811	88	22	used	use	VERB
ajst-28811	88	23	to	to	PART
ajst-28811	88	24	construct	construct	VERB
ajst-28811	88	25	a	a	DET
ajst-28811	88	26	shale	shale	NOUN
ajst-28811	88	27	gas	gas	NOUN
ajst-28811	88	28	production	production	NOUN
ajst-28811	88	29	prediction	prediction	NOUN
ajst-28811	88	30	model	model	NOUN
ajst-28811	88	31	,	,	PUNCT
ajst-28811	88	32	achieving	achieve	VERB
ajst-28811	88	33	superior	superior	ADJ
ajst-28811	88	34	prediction	prediction	NOUN
ajst-28811	88	35	results	result	NOUN
ajst-28811	88	36	.	.	PUNCT
ajst-28811	89	1	in	in	ADP
ajst-28811	89	2	predicting	predict	VERB
ajst-28811	89	3	normalized	normalize	VERB
ajst-28811	89	4	daily	daily	ADJ
ajst-28811	89	5	gas	gas	NOUN
ajst-28811	89	6	production	production	NOUN
ajst-28811	89	7	,	,	PUNCT
ajst-28811	89	8	the	the	DET
ajst-28811	89	9	results	result	NOUN
ajst-28811	89	10	from	from	ADP
ajst-28811	89	11	k	k	PROPN
ajst-28811	89	12	decision	decision	NOUN
ajst-28811	89	13	trees	tree	NOUN
ajst-28811	89	14	are	be	AUX
ajst-28811	89	15	aggregated	aggregate	VERB
ajst-28811	89	16	to	to	PART
ajst-28811	89	17	obtain	obtain	VERB
ajst-28811	89	18	the	the	DET
ajst-28811	89	19	final	final	ADJ
ajst-28811	89	20	prediction	prediction	NOUN
ajst-28811	89	21	,	,	PUNCT
ajst-28811	89	22	as	as	SCONJ
ajst-28811	89	23	shown	show	VERB
ajst-28811	89	24	in	in	ADP
ajst-28811	89	25	the	the	DET
ajst-28811	89	26	following	follow	VERB
ajst-28811	89	27	formula[21	formula[21	NOUN
ajst-28811	89	28	]	]	PUNCT
ajst-28811	89	29	:	:	PUNCT
ajst-28811	89	30			NOUN
ajst-28811	89	31			PROPN
ajst-28811	89	32	1	1	NUM
ajst-28811	89	33	ˆ	ˆ	NOUN
ajst-28811	89	34	,	,	PUNCT
ajst-28811	90	1	k	k	PROPN
ajst-28811	91	1	i	i	PRON
ajst-28811	91	2	k	k	INTJ
ajst-28811	92	1	i	i	PRON
ajst-28811	92	2	k	k	PROPN
ajst-28811	93	1	k	k	PROPN
ajst-28811	93	2	y	y	PROPN
ajst-28811	94	1	f	f	PROPN
ajst-28811	94	2	x	x	X
ajst-28811	95	1	f	f	PROPN
ajst-28811	95	2	f	f	PROPN
ajst-28811	96	1			PROPN
ajst-28811	96	2			PROPN
ajst-28811	96	3			NOUN
ajst-28811	96	4	(	(	PUNCT
ajst-28811	96	5	6	6	NUM
ajst-28811	96	6	)	)	PUNCT
ajst-28811	96	7	where	where	SCONJ
ajst-28811	96	8	:	:	PUNCT
ajst-28811	96	9	ˆ	ˆ	ADJ
ajst-28811	96	10	jy	jy	PROPN
ajst-28811	96	11	is	be	AUX
ajst-28811	96	12	the	the	DET
ajst-28811	96	13	final	final	ADJ
ajst-28811	96	14	predicted	predict	VERB
ajst-28811	96	15	value	value	NOUN
ajst-28811	96	16	of	of	ADP
ajst-28811	96	17	daily	daily	ADJ
ajst-28811	96	18	gas	gas	NOUN
ajst-28811	96	19	production	production	NOUN
ajst-28811	96	20	from	from	ADP
ajst-28811	96	21	the	the	DET
ajst-28811	96	22	model	model	NOUN
ajst-28811	96	23	;	;	PUNCT
ajst-28811	96	24	kf	kf	PROPN
ajst-28811	96	25	is	be	AUX
ajst-28811	96	26	the	the	DET
ajst-28811	96	27	prediction	prediction	NOUN
ajst-28811	96	28	from	from	ADP
ajst-28811	96	29	each	each	DET
ajst-28811	96	30	decision	decision	NOUN
ajst-28811	96	31	tree	tree	NOUN
ajst-28811	96	32	;	;	PUNCT
ajst-28811	96	33	f	f	PROPN
ajst-28811	96	34	is	be	AUX
ajst-28811	96	35	the	the	DET
ajst-28811	96	36	regression	regression	NOUN
ajst-28811	96	37	tree	tree	NOUN
ajst-28811	96	38	space	space	NOUN
ajst-28811	96	39	;	;	PUNCT
ajst-28811	96	40			NOUN
ajst-28811	96	41	k	k	VERB
ajst-28811	96	42	if	if	SCONJ
ajst-28811	96	43	x	x	PRON
ajst-28811	96	44	is	be	AUX
ajst-28811	96	45	the	the	DET
ajst-28811	96	46	predicted	predict	VERB
ajst-28811	96	47	value	value	NOUN
ajst-28811	96	48	of	of	ADP
ajst-28811	96	49	kf	kf	PROPN
ajst-28811	96	50	given	give	VERB
ajst-28811	96	51	the	the	DET
ajst-28811	96	52	input	input	NOUN
ajst-28811	96	53	factors	factor	NOUN
ajst-28811	96	54	ix	ix	X
ajst-28811	96	55	(	(	PUNCT
ajst-28811	96	56	fracturing	fracture	VERB
ajst-28811	96	57	effect	effect	NOUN
ajst-28811	96	58	influencing	influence	VERB
ajst-28811	96	59	factors	factor	NOUN
ajst-28811	96	60	)	)	PUNCT
ajst-28811	96	61	.	.	PUNCT
ajst-28811	97	1	therefore	therefore	ADV
ajst-28811	97	2	,	,	PUNCT
ajst-28811	97	3	the	the	DET
ajst-28811	97	4	loss	loss	NOUN
ajst-28811	97	5	function	function	NOUN
ajst-28811	97	6	l	l	NOUN
ajst-28811	97	7	can	can	AUX
ajst-28811	97	8	be	be	AUX
ajst-28811	97	9	expressed	express	VERB
ajst-28811	97	10	as	as	ADP
ajst-28811	97	11	the	the	DET
ajst-28811	97	12	difference	difference	NOUN
ajst-28811	97	13	between	between	ADP
ajst-28811	97	14	the	the	DET
ajst-28811	97	15	actual	actual	ADJ
ajst-28811	97	16	value	value	NOUN
ajst-28811	97	17	iy	iy	PROPN
ajst-28811	97	18	and	and	CCONJ
ajst-28811	97	19	the	the	DET
ajst-28811	97	20	predicted	predict	VERB
ajst-28811	97	21	value	value	NOUN
ajst-28811	97	22	ˆiy	ˆiy	NOUN
ajst-28811	97	23	:	:	PUNCT
ajst-28811	97	24			NOUN
ajst-28811	97	25			PROPN
ajst-28811	97	26	1	1	NUM
ajst-28811	97	27	ˆ	ˆ	NOUN
ajst-28811	97	28	,	,	PUNCT
ajst-28811	97	29	n	n	CCONJ
ajst-28811	98	1	i	i	PRON
ajst-28811	98	2	i	i	PRON
ajst-28811	99	1	i	i	VERB
ajst-28811	99	2	l	l	VERB
ajst-28811	99	3	loss	loss	NOUN
ajst-28811	100	1	y	y	PROPN
ajst-28811	100	2	y	y	PROPN
ajst-28811	100	3			NUM
ajst-28811	101	1			ADJ
ajst-28811	101	2			X
ajst-28811	101	3	(	(	PUNCT
ajst-28811	101	4	7	7	NUM
ajst-28811	101	5	)	)	PUNCT
ajst-28811	101	6	to	to	PART
ajst-28811	101	7	prevent	prevent	VERB
ajst-28811	101	8	overfitting	overfitting	NOUN
ajst-28811	101	9	and	and	CCONJ
ajst-28811	101	10	improve	improve	VERB
ajst-28811	101	11	the	the	DET
ajst-28811	101	12	model	model	NOUN
ajst-28811	101	13	's	's	PART
ajst-28811	101	14	generalization	generalization	NOUN
ajst-28811	101	15	ability	ability	NOUN
ajst-28811	101	16	,	,	PUNCT
ajst-28811	101	17	a	a	DET
ajst-28811	101	18	regularization	regularization	NOUN
ajst-28811	101	19	term	term	NOUN
ajst-28811	101	20			PROPN
ajst-28811	101	21	is	be	AUX
ajst-28811	101	22	usually	usually	ADV
ajst-28811	101	23	added	add	VERB
ajst-28811	101	24	to	to	ADP
ajst-28811	101	25	the	the	DET
ajst-28811	101	26	equation	equation	NOUN
ajst-28811	101	27	.	.	PUNCT
ajst-28811	102	1	the	the	DET
ajst-28811	102	2	loss	loss	NOUN
ajst-28811	102	3	function	function	NOUN
ajst-28811	102	4	can	can	AUX
ajst-28811	102	5	be	be	AUX
ajst-28811	102	6	expressed	express	VERB
ajst-28811	102	7	as	as	ADP
ajst-28811	102	8	follows	follow	VERB
ajst-28811	102	9	,	,	PUNCT
ajst-28811	102	10	where	where	SCONJ
ajst-28811	102	11	the	the	DET
ajst-28811	102	12	regularization	regularization	NOUN
ajst-28811	102	13	term	term	NOUN
ajst-28811	102	14			NOUN
ajst-28811	102	15	kf	kf	PUNCT
ajst-28811	102	16	determines	determine	VERB
ajst-28811	102	17	the	the	DET
ajst-28811	102	18	depth	depth	NOUN
ajst-28811	102	19	of	of	ADP
ajst-28811	102	20	the	the	DET
ajst-28811	102	21	tree	tree	NOUN
ajst-28811	102	22	to	to	PART
ajst-28811	102	23	be	be	AUX
ajst-28811	102	24	adjusted	adjust	VERB
ajst-28811	102	25	(	(	PUNCT
ajst-28811	102	26	max_depth	max_depth	NOUN
ajst-28811	102	27	)	)	PUNCT
ajst-28811	102	28	,	,	PUNCT
ajst-28811	102	29	as	as	SCONJ
ajst-28811	102	30	shown	show	VERB
ajst-28811	102	31	in	in	ADP
ajst-28811	102	32	the	the	DET
ajst-28811	102	33	following	follow	VERB
ajst-28811	102	34	expression	expression	NOUN
ajst-28811	102	35	:	:	PUNCT
ajst-28811	102	36			NOUN
ajst-28811	103	1			SYM
ajst-28811	103	2			NOUN
ajst-28811	103	3			NOUN
ajst-28811	103	4	1	1	NUM
ajst-28811	103	5	1	1	NUM
ajst-28811	103	6	ˆ	ˆ	NOUN
ajst-28811	103	7	,	,	PUNCT
ajst-28811	103	8	n	n	CCONJ
ajst-28811	103	9	k	k	NOUN
ajst-28811	104	1	i	i	PRON
ajst-28811	105	1	i	i	INTJ
ajst-28811	106	1	k	k	INTJ
ajst-28811	107	1	i	i	PRON
ajst-28811	107	2	k	k	PROPN
ajst-28811	107	3	obj	obj	PROPN
ajst-28811	107	4	loss	loss	NOUN
ajst-28811	107	5	y	y	PROPN
ajst-28811	107	6	y	y	PROPN
ajst-28811	108	1	f	f	PROPN
ajst-28811	109	1			NUM
ajst-28811	110	1			NUM
ajst-28811	110	2			PROPN
ajst-28811	110	3			PUNCT
ajst-28811	110	4			PUNCT
ajst-28811	110	5			X
ajst-28811	110	6	(	(	PUNCT
ajst-28811	110	7	8)	8)	NUM
ajst-28811	110	8			NOUN
ajst-28811	110	9			SYM
ajst-28811	110	10	2	2	NUM
ajst-28811	110	11	1	1	NUM
ajst-28811	110	12	1	1	NUM
ajst-28811	110	13	2	2	NUM
ajst-28811	110	14	t	t	NOUN
ajst-28811	110	15	k	k	PROPN
ajst-28811	111	1	j	j	PROPN
ajst-28811	111	2	j	j	PROPN
ajst-28811	111	3	f	f	PROPN
ajst-28811	111	4	t	t	PROPN
ajst-28811	111	5	w	w	PROPN
ajst-28811	111	6			SCONJ
ajst-28811	111	7			PROPN
ajst-28811	111	8			PROPN
ajst-28811	112	1			NOUN
ajst-28811	112	2			ADV
ajst-28811	112	3			X
ajst-28811	112	4	(	(	PUNCT
ajst-28811	112	5	9	9	NUM
ajst-28811	112	6	)	)	PUNCT
ajst-28811	112	7	where	where	SCONJ
ajst-28811	112	8	:	:	PUNCT
ajst-28811	112	9	t	t	PROPN
ajst-28811	112	10	is	be	AUX
ajst-28811	112	11	the	the	DET
ajst-28811	112	12	number	number	NOUN
ajst-28811	112	13	of	of	ADP
ajst-28811	112	14	leaf	leaf	NOUN
ajst-28811	112	15	nodes	node	NOUN
ajst-28811	112	16	,	,	PUNCT
ajst-28811	112	17	jw	jw	PROPN
ajst-28811	112	18	is	be	AUX
ajst-28811	112	19	the	the	DET
ajst-28811	112	20	weight	weight	NOUN
ajst-28811	112	21	of	of	ADP
ajst-28811	112	22	the	the	DET
ajst-28811	112	23	j	j	PROPN
ajst-28811	112	24	-th	-th	ADJ
ajst-28811	112	25	leaf	leaf	NOUN
ajst-28811	112	26	node	node	NOUN
ajst-28811	112	27	.	.	PUNCT
ajst-28811	113	1	xgboost	xgboost	PROPN
ajst-28811	113	2	uses	use	VERB
ajst-28811	113	3	a	a	DET
ajst-28811	113	4	forward	forward	ADV
ajst-28811	113	5	boosting	boost	VERB
ajst-28811	113	6	strategy	strategy	NOUN
ajst-28811	113	7	,	,	PUNCT
ajst-28811	113	8	where	where	SCONJ
ajst-28811	113	9	each	each	DET
ajst-28811	113	10	time	time	NOUN
ajst-28811	113	11	a	a	DET
ajst-28811	113	12	new	new	ADJ
ajst-28811	113	13	decision	decision	NOUN
ajst-28811	113	14	tree	tree	NOUN
ajst-28811	113	15	is	be	AUX
ajst-28811	113	16	added	add	VERB
ajst-28811	113	17	,	,	PUNCT
ajst-28811	113	18	it	it	PRON
ajst-28811	113	19	learns	learn	VERB
ajst-28811	113	20	a	a	DET
ajst-28811	113	21	new	new	ADJ
ajst-28811	113	22	function	function	NOUN
ajst-28811	113	23	and	and	CCONJ
ajst-28811	113	24	its	its	PRON
ajst-28811	113	25	coefficients	coefficient	NOUN
ajst-28811	113	26	to	to	PART
ajst-28811	113	27	fit	fit	VERB
ajst-28811	113	28	the	the	DET
ajst-28811	113	29	residuals	residual	NOUN
ajst-28811	113	30	of	of	ADP
ajst-28811	113	31	the	the	DET
ajst-28811	113	32	previous	previous	ADJ
ajst-28811	113	33	step	step	NOUN
ajst-28811	113	34	.	.	PUNCT
ajst-28811	114	1	the	the	DET
ajst-28811	114	2	calculation	calculation	NOUN
ajst-28811	114	3	expression	expression	NOUN
ajst-28811	114	4	is	be	AUX
ajst-28811	114	5	as	as	SCONJ
ajst-28811	114	6	follows	follow	VERB
ajst-28811	114	7	:	:	PUNCT
ajst-28811	114	8			PROPN
ajst-28811	114	9	1ˆ	1ˆ	PUNCT
ajst-28811	115	1	k	k	X
ajst-28811	116	1	k	k	PROPN
ajst-28811	117	1	i	i	PRON
ajst-28811	118	1	i	i	PRON
ajst-28811	118	2	k	k	INTJ
ajst-28811	119	1	iy	iy	INTJ
ajst-28811	120	1	y	y	PROPN
ajst-28811	120	2	f	f	PROPN
ajst-28811	121	1	x	x	PROPN
ajst-28811	121	2			PROPN
ajst-28811	121	3	(	(	PUNCT
ajst-28811	121	4	10	10	NUM
ajst-28811	121	5	)	)	PUNCT
ajst-28811	121	6			NOUN
ajst-28811	121	7			PUNCT
ajst-28811	121	8			NOUN
ajst-28811	121	9			NOUN
ajst-28811	122	1			PUNCT
ajst-28811	122	2			NOUN
ajst-28811	122	3	1	1	VERB
ajst-28811	122	4	1	1	NUM
ajst-28811	122	5	ˆ	ˆ	NOUN
ajst-28811	122	6	,	,	PUNCT
ajst-28811	122	7	nk	nk	PROPN
ajst-28811	122	8	k	k	PROPN
ajst-28811	123	1	i	i	PRON
ajst-28811	123	2	k	k	INTJ
ajst-28811	124	1	i	i	PRON
ajst-28811	124	2	k	k	VERB
ajst-28811	125	1	i	i	PRON
ajst-28811	126	1	obj	obj	PROPN
ajst-28811	126	2	l	l	NOUN
ajst-28811	127	1	y	y	PROPN
ajst-28811	127	2	y	y	NOUN
ajst-28811	127	3	f	f	NOUN
ajst-28811	127	4	x	x	SYM
ajst-28811	127	5	f	f	PROPN
ajst-28811	127	6			NOUN
ajst-28811	127	7			PROPN
ajst-28811	127	8			ADJ
ajst-28811	127	9			NOUN
ajst-28811	127	10	(	(	PUNCT
ajst-28811	127	11	11	11	NUM
ajst-28811	127	12	)	)	PUNCT
ajst-28811	127	13	the	the	DET
ajst-28811	127	14	above	above	ADJ
ajst-28811	127	15	equation	equation	NOUN
ajst-28811	127	16	is	be	AUX
ajst-28811	127	17	expanded	expand	VERB
ajst-28811	127	18	using	use	VERB
ajst-28811	127	19	the	the	DET
ajst-28811	127	20	taylor	taylor	PROPN
ajst-28811	127	21	series	series	PROPN
ajst-28811	127	22	as	as	SCONJ
ajst-28811	127	23	follows	follow	VERB
ajst-28811	127	24	:	:	PUNCT
ajst-28811	127	25			NOUN
ajst-28811	128	1			SYM
ajst-28811	128	2			NOUN
ajst-28811	128	3			SYM
ajst-28811	128	4			NOUN
ajst-28811	128	5			SYM
ajst-28811	128	6			NOUN
ajst-28811	128	7			SYM
ajst-28811	128	8			NOUN
ajst-28811	128	9	1	1	NOUN
ajst-28811	128	10	2	2	NUM
ajst-28811	128	11	1	1	NUM
ajst-28811	128	12	1	1	NUM
ajst-28811	128	13	ˆ	ˆ	NOUN
ajst-28811	128	14	,	,	PUNCT
ajst-28811	128	15	2	2	NUM
ajst-28811	128	16	nk	nk	NOUN
ajst-28811	128	17	k	k	PROPN
ajst-28811	129	1	i	i	PRON
ajst-28811	130	1	i	i	PRON
ajst-28811	130	2	k	k	VERB
ajst-28811	131	1	i	i	PRON
ajst-28811	132	1	i	i	PRON
ajst-28811	132	2	k	k	INTJ
ajst-28811	133	1	i	i	PRON
ajst-28811	133	2	k	k	VERB
ajst-28811	134	1	i	i	PRON
ajst-28811	134	2	o	o	X
ajst-28811	135	1	b	b	X
ajst-28811	135	2	j	j	PROPN
ajst-28811	135	3	l	l	NOUN
ajst-28811	135	4	y	y	PROPN
ajst-28811	136	1	y	y	PROPN
ajst-28811	136	2	g	g	PROPN
ajst-28811	137	1	f	f	PROPN
ajst-28811	137	2	x	x	PROPN
ajst-28811	138	1	h	h	NOUN
ajst-28811	138	2	f	f	NOUN
ajst-28811	138	3	x	x	SYM
ajst-28811	138	4	f	f	ADV
ajst-28811	138	5			PROPN
ajst-28811	138	6			X
ajst-28811	138	7			ADV
ajst-28811	138	8			VERB
ajst-28811	138	9			PUNCT
ajst-28811	138	10			NUM
ajst-28811	138	11			PROPN
ajst-28811	138	12			NOUN
ajst-28811	138	13			NOUN
ajst-28811	139	1			PROPN
ajst-28811	139	2			PROPN
ajst-28811	139	3	(	(	PUNCT
ajst-28811	139	4	12	12	NUM
ajst-28811	139	5	)	)	PUNCT
ajst-28811	139	6	where	where	SCONJ
ajst-28811	139	7	:	:	PUNCT
ajst-28811	139	8	ig	ig	PROPN
ajst-28811	139	9	is	be	AUX
ajst-28811	139	10	the	the	DET
ajst-28811	139	11	first	first	ADJ
ajst-28811	139	12	-	-	PUNCT
ajst-28811	139	13	order	order	NOUN
ajst-28811	139	14	derivative	derivative	NOUN
ajst-28811	139	15	of	of	ADP
ajst-28811	139	16	the	the	DET
ajst-28811	139	17	loss	loss	NOUN
ajst-28811	139	18	function	function	NOUN
ajst-28811	139	19			NOUN
ajst-28811	139	20	1ˆ	1ˆ	PROPN
ajst-28811	139	21	,	,	PUNCT
ajst-28811	139	22	k	k	PROPN
ajst-28811	139	23	il	il	PROPN
ajst-28811	139	24	y	y	PROPN
ajst-28811	139	25	y	y	PROPN
ajst-28811	139	26			PROPN
ajst-28811	139	27	with	with	ADP
ajst-28811	139	28	respect	respect	NOUN
ajst-28811	139	29	to	to	ADP
ajst-28811	139	30	1ˆ	1ˆ	PROPN
ajst-28811	139	31	ky	ky	PROPN
ajst-28811	139	32			PROPN
ajst-28811	139	33	,	,	PUNCT
ajst-28811	139	34	and	and	CCONJ
ajst-28811	139	35	ih	ih	NOUN
ajst-28811	139	36	is	be	AUX
ajst-28811	139	37	the	the	DET
ajst-28811	139	38	second	second	ADJ
ajst-28811	139	39	-	-	PUNCT
ajst-28811	139	40	order	order	NOUN
ajst-28811	139	41	derivative	derivative	NOUN
ajst-28811	139	42	of	of	ADP
ajst-28811	139	43			NOUN
ajst-28811	140	1	1ˆ	1ˆ	PROPN
ajst-28811	140	2	,	,	PUNCT
ajst-28811	140	3	k	k	PROPN
ajst-28811	140	4	iy	iy	PROPN
ajst-28811	140	5	y	y	PROPN
ajst-28811	140	6			PROPN
ajst-28811	140	7	with	with	ADP
ajst-28811	140	8	respect	respect	NOUN
ajst-28811	140	9	to	to	ADP
ajst-28811	140	10	1ˆ	1ˆ	PROPN
ajst-28811	140	11	ky	ky	PROPN
ajst-28811	140	12			PROPN
ajst-28811	140	13	,	,	PUNCT
ajst-28811	140	14	the	the	DET
ajst-28811	140	15	total	total	NOUN
ajst-28811	140	16	of	of	ADP
ajst-28811	140	17	all	all	PRON
ajst-28811	140	18	ih	ih	NOUN
ajst-28811	140	19	is	be	AUX
ajst-28811	140	20	sum	sum	NOUN
ajst-28811	140	21	of	of	ADP
ajst-28811	140	22	the	the	DET
ajst-28811	140	23	minimum	minimum	ADJ
ajst-28811	140	24	sample	sample	NOUN
ajst-28811	140	25	weights	weight	NOUN
ajst-28811	140	26	for	for	ADP
ajst-28811	140	27	the	the	DET
ajst-28811	140	28	leaf	leaf	NOUN
ajst-28811	140	29	nodes	node	NOUN
ajst-28811	140	30	that	that	PRON
ajst-28811	140	31	need	need	VERB
ajst-28811	140	32	to	to	PART
ajst-28811	140	33	be	be	AUX
ajst-28811	140	34	adjusted(min_child_weight	adjusted(min_child_weight	ADJ
ajst-28811	140	35	)	)	PUNCT
ajst-28811	140	36	.	.	PUNCT
ajst-28811	141	1	additionally	additionally	ADV
ajst-28811	141	2	,	,	PUNCT
ajst-28811	141	3	it	it	PRON
ajst-28811	141	4	is	be	AUX
ajst-28811	141	5	possible	possible	ADJ
ajst-28811	141	6	to	to	PART
ajst-28811	141	7	merge	merge	VERB
ajst-28811	141	8	the	the	DET
ajst-28811	141	9	same	same	ADJ
ajst-28811	141	10	function	function	NOUN
ajst-28811	141	11	values	value	NOUN
ajst-28811	141	12	at	at	ADP
ajst-28811	141	13	the	the	DET
ajst-28811	141	14	same	same	ADJ
ajst-28811	141	15	leaf	leaf	NOUN
ajst-28811	141	16	node	node	NOUN
ajst-28811	141	17	.	.	PUNCT
ajst-28811	142	1	therefore	therefore	ADV
ajst-28811	142	2	,	,	PUNCT
ajst-28811	142	3	the	the	DET
ajst-28811	142	4	final	final	ADJ
ajst-28811	142	5	derived	derived	ADJ
ajst-28811	142	6	result	result	NOUN
ajst-28811	142	7	is	be	AUX
ajst-28811	142	8	as	as	SCONJ
ajst-28811	142	9	follows	follow	VERB
ajst-28811	142	10	:	:	PUNCT
ajst-28811	143	1	j	j	PROPN
ajst-28811	143	2	j	j	PROPN
ajst-28811	143	3	j	j	PROPN
ajst-28811	143	4	g	g	PROPN
ajst-28811	143	5	w	w	PROPN
ajst-28811	143	6	h	h	PROPN
ajst-28811	143	7			X
ajst-28811	143	8			PROPN
ajst-28811	143	9			PROPN
ajst-28811	143	10			X
ajst-28811	143	11	(	(	PUNCT
ajst-28811	143	12	13	13	NUM
ajst-28811	143	13	)	)	PUNCT
ajst-28811	143	14	substituting	substitute	VERB
ajst-28811	143	15	jw	jw	PROPN
ajst-28811	143	16	into	into	ADP
ajst-28811	143	17	the	the	DET
ajst-28811	143	18	objective	objective	ADJ
ajst-28811	143	19	function	function	NOUN
ajst-28811	143	20	simplifies	simplifie	NOUN
ajst-28811	143	21	to	to	PART
ajst-28811	143	22	:	:	PUNCT
ajst-28811	143	23			NOUN
ajst-28811	143	24			SYM
ajst-28811	143	25	2	2	NUM
ajst-28811	143	26	1	1	NUM
ajst-28811	143	27	1	1	NUM
ajst-28811	143	28	2	2	NUM
ajst-28811	143	29	tk	tk	PROPN
ajst-28811	143	30	j	j	PROPN
ajst-28811	143	31	j	j	PROPN
ajst-28811	143	32	j	j	PROPN
ajst-28811	143	33	g	g	PROPN
ajst-28811	143	34	obj	obj	PROPN
ajst-28811	143	35	t	t	PROPN
ajst-28811	143	36	c	c	PROPN
ajst-28811	143	37	h	h	PROPN
ajst-28811	143	38			ADJ
ajst-28811	143	39			PROPN
ajst-28811	143	40			PROPN
ajst-28811	143	41			PROPN
ajst-28811	143	42			SYM
ajst-28811	143	43			NOUN
ajst-28811	143	44			X
ajst-28811	143	45	(	(	PUNCT
ajst-28811	143	46	14	14	NUM
ajst-28811	143	47	)	)	PUNCT
ajst-28811	143	48	the	the	DET
ajst-28811	143	49	mapping	mapping	NOUN
ajst-28811	143	50	relationship	relationship	NOUN
ajst-28811	143	51	between	between	ADP
ajst-28811	143	52	daily	daily	ADJ
ajst-28811	143	53	gas	gas	NOUN
ajst-28811	143	54	production	production	NOUN
ajst-28811	143	55	and	and	CCONJ
ajst-28811	143	56	various	various	ADJ
ajst-28811	143	57	fracturing	fracturing	NOUN
ajst-28811	143	58	effect	effect	NOUN
ajst-28811	143	59	influencing	influence	VERB
ajst-28811	143	60	factors	factor	NOUN
ajst-28811	143	61	serves	serve	VERB
ajst-28811	143	62	as	as	SCONJ
ajst-28811	143	63	the	the	DET
ajst-28811	143	64	objective	objective	ADJ
ajst-28811	143	65	function	function	NOUN
ajst-28811	143	66	to	to	PART
ajst-28811	143	67	obtain	obtain	VERB
ajst-28811	143	68	a	a	DET
ajst-28811	143	69	simplified	simplified	ADJ
ajst-28811	143	70	equation	equation	NOUN
ajst-28811	143	71	,	,	PUNCT
ajst-28811	143	72	ultimately	ultimately	ADV
ajst-28811	143	73	yielding	yield	VERB
ajst-28811	143	74	the	the	DET
ajst-28811	143	75	predicted	predict	VERB
ajst-28811	143	76	value	value	NOUN
ajst-28811	143	77	of	of	ADP
ajst-28811	143	78	normalized	normalize	VERB
ajst-28811	143	79	daily	daily	ADJ
ajst-28811	143	80	gas	gas	NOUN
ajst-28811	143	81	production	production	NOUN
ajst-28811	143	82	.	.	PUNCT
ajst-28811	144	1	235	235	NUM
ajst-28811	144	2	in	in	ADP
ajst-28811	144	3	the	the	DET
ajst-28811	144	4	ensemble	ensemble	ADJ
ajst-28811	144	5	learning	learning	NOUN
ajst-28811	144	6	framework	framework	NOUN
ajst-28811	144	7	of	of	ADP
ajst-28811	144	8	xgboost	xgboost	PROPN
ajst-28811	144	9	,	,	PUNCT
ajst-28811	144	10	several	several	ADJ
ajst-28811	144	11	hyperparameters	hyperparameter	NOUN
ajst-28811	144	12	influence	influence	NOUN
ajst-28811	144	13	model	model	NOUN
ajst-28811	144	14	performance	performance	NOUN
ajst-28811	144	15	,	,	PUNCT
ajst-28811	144	16	such	such	ADJ
ajst-28811	144	17	as	as	ADP
ajst-28811	144	18	the	the	DET
ajst-28811	144	19	number	number	NOUN
ajst-28811	144	20	of	of	ADP
ajst-28811	144	21	weak	weak	ADJ
ajst-28811	144	22	classifiers	classifier	NOUN
ajst-28811	144	23	(	(	PUNCT
ajst-28811	144	24	n_estimators	n_estimator	NOUN
ajst-28811	144	25	)	)	PUNCT
ajst-28811	144	26	,	,	PUNCT
ajst-28811	144	27	the	the	DET
ajst-28811	144	28	minimum	minimum	ADJ
ajst-28811	144	29	loss	loss	NOUN
ajst-28811	144	30	reduction	reduction	NOUN
ajst-28811	144	31	required	require	VERB
ajst-28811	144	32	for	for	ADP
ajst-28811	144	33	further	further	ADJ
ajst-28811	144	34	splits	split	NOUN
ajst-28811	144	35	(	(	PUNCT
ajst-28811	144	36	gamma	gamma	NOUN
ajst-28811	144	37	)	)	PUNCT
ajst-28811	144	38	,	,	PUNCT
ajst-28811	144	39	with	with	ADP
ajst-28811	144	40	higher	high	ADJ
ajst-28811	144	41	values	value	NOUN
ajst-28811	144	42	leading	lead	VERB
ajst-28811	144	43	to	to	ADP
ajst-28811	144	44	more	more	ADV
ajst-28811	144	45	conservative	conservative	ADJ
ajst-28811	144	46	algorithms	algorithm	NOUN
ajst-28811	144	47	,	,	PUNCT
ajst-28811	144	48	the	the	DET
ajst-28811	144	49	maximum	maximum	ADJ
ajst-28811	144	50	depth	depth	NOUN
ajst-28811	144	51	of	of	ADP
ajst-28811	144	52	the	the	DET
ajst-28811	144	53	trees	tree	NOUN
ajst-28811	144	54	(	(	PUNCT
ajst-28811	144	55	max_depth	max_depth	NOUN
ajst-28811	144	56	)	)	PUNCT
ajst-28811	144	57	,	,	PUNCT
ajst-28811	144	58	the	the	DET
ajst-28811	144	59	minimum	minimum	ADJ
ajst-28811	144	60	sum	sum	NOUN
ajst-28811	144	61	of	of	ADP
ajst-28811	144	62	instance	instance	NOUN
ajst-28811	144	63	weights	weight	NOUN
ajst-28811	144	64	(	(	PUNCT
ajst-28811	144	65	min_child_weight	min_child_weight	NOUN
ajst-28811	144	66	)	)	PUNCT
ajst-28811	144	67	,	,	PUNCT
ajst-28811	144	68	subsampling	subsample	VERB
ajst-28811	144	69	rate	rate	NOUN
ajst-28811	144	70	(	(	PUNCT
ajst-28811	144	71	subsample	subsample	NOUN
ajst-28811	144	72	)	)	PUNCT
ajst-28811	144	73	,	,	PUNCT
ajst-28811	144	74	regularization	regularization	NOUN
ajst-28811	144	75	parameter	parameter	NOUN
ajst-28811	144	76	(	(	PUNCT
ajst-28811	144	77	lambda	lambda	NOUN
ajst-28811	144	78	)	)	PUNCT
ajst-28811	144	79	,	,	PUNCT
ajst-28811	144	80	and	and	CCONJ
ajst-28811	144	81	the	the	DET
ajst-28811	144	82	maximum	maximum	ADJ
ajst-28811	144	83	number	number	NOUN
ajst-28811	144	84	of	of	ADP
ajst-28811	144	85	leaf	leaf	NOUN
ajst-28811	144	86	nodes	node	NOUN
ajst-28811	144	87	(	(	PUNCT
ajst-28811	144	88	max_leaves	max_leave	NOUN
ajst-28811	144	89	)	)	PUNCT
ajst-28811	144	90	.	.	PUNCT
ajst-28811	145	1	these	these	DET
ajst-28811	145	2	hyperparameters	hyperparameter	NOUN
ajst-28811	145	3	can	can	AUX
ajst-28811	145	4	adjust	adjust	VERB
ajst-28811	145	5	the	the	DET
ajst-28811	145	6	model	model	NOUN
ajst-28811	145	7	's	's	PART
ajst-28811	145	8	fitting	fitting	ADJ
ajst-28811	145	9	ability	ability	NOUN
ajst-28811	145	10	.	.	PUNCT
ajst-28811	146	1	therefore	therefore	ADV
ajst-28811	146	2	,	,	PUNCT
ajst-28811	146	3	to	to	PART
ajst-28811	146	4	achieve	achieve	VERB
ajst-28811	146	5	accurate	accurate	ADJ
ajst-28811	146	6	prediction	prediction	NOUN
ajst-28811	146	7	of	of	ADP
ajst-28811	146	8	normalized	normalize	VERB
ajst-28811	146	9	daily	daily	ADJ
ajst-28811	146	10	gas	gas	NOUN
ajst-28811	146	11	production	production	NOUN
ajst-28811	146	12	,	,	PUNCT
ajst-28811	146	13	it	it	PRON
ajst-28811	146	14	is	be	AUX
ajst-28811	146	15	crucial	crucial	ADJ
ajst-28811	146	16	to	to	PART
ajst-28811	146	17	quickly	quickly	ADV
ajst-28811	146	18	,	,	PUNCT
ajst-28811	146	19	simply	simply	ADV
ajst-28811	146	20	,	,	PUNCT
ajst-28811	146	21	and	and	CCONJ
ajst-28811	146	22	accurately	accurately	ADV
ajst-28811	146	23	select	select	VERB
ajst-28811	146	24	the	the	DET
ajst-28811	146	25	optimal	optimal	ADJ
ajst-28811	146	26	hyperparameters	hyperparameter	NOUN
ajst-28811	146	27	for	for	ADP
ajst-28811	146	28	the	the	DET
ajst-28811	146	29	model	model	NOUN
ajst-28811	146	30	.	.	PUNCT
ajst-28811	147	1	2.3	2.3	NUM
ajst-28811	147	2	.	.	PUNCT
ajst-28811	148	1	sparrow	sparrow	NOUN
ajst-28811	148	2	search	search	NOUN
ajst-28811	148	3	algorithm	algorithm	NOUN
ajst-28811	148	4	the	the	DET
ajst-28811	148	5	sparrow	sparrow	ADJ
ajst-28811	148	6	search	search	NOUN
ajst-28811	148	7	algorithm	algorithm	NOUN
ajst-28811	148	8	(	(	PUNCT
ajst-28811	148	9	ssa	ssa	NOUN
ajst-28811	148	10	)	)	PUNCT
ajst-28811	148	11	is	be	AUX
ajst-28811	148	12	a	a	DET
ajst-28811	148	13	new	new	ADJ
ajst-28811	148	14	populationbased	populationbase	VERB
ajst-28811	148	15	intelligent	intelligent	ADJ
ajst-28811	148	16	optimization	optimization	NOUN
ajst-28811	148	17	algorithm	algorithm	NOUN
ajst-28811	148	18	proposed	propose	VERB
ajst-28811	148	19	by	by	ADP
ajst-28811	148	20	xue	xue	PROPN
ajst-28811	148	21	et	et	PROPN
ajst-28811	148	22	al	al	PROPN
ajst-28811	148	23	.	.	PROPN
ajst-28811	149	1	in	in	ADP
ajst-28811	149	2	2020	2020	NUM
ajst-28811	149	3	.	.	PUNCT
ajst-28811	150	1	its	its	PRON
ajst-28811	150	2	core	core	ADJ
ajst-28811	150	3	idea	idea	NOUN
ajst-28811	150	4	is	be	AUX
ajst-28811	150	5	to	to	PART
ajst-28811	150	6	simulate	simulate	VERB
ajst-28811	150	7	the	the	DET
ajst-28811	150	8	foraging	foraging	NOUN
ajst-28811	150	9	and	and	CCONJ
ajst-28811	150	10	predator	predator	NOUN
ajst-28811	150	11	-	-	PUNCT
ajst-28811	150	12	avoidance	avoidance	NOUN
ajst-28811	150	13	behaviors	behavior	NOUN
ajst-28811	150	14	of	of	ADP
ajst-28811	150	15	sparrow	sparrow	ADJ
ajst-28811	150	16	populations[22	populations[22	NOUN
ajst-28811	150	17	]	]	PUNCT
ajst-28811	150	18	.	.	PUNCT
ajst-28811	151	1	compared	compare	VERB
ajst-28811	151	2	to	to	ADP
ajst-28811	151	3	widely	widely	ADV
ajst-28811	151	4	used	use	VERB
ajst-28811	151	5	optimization	optimization	NOUN
ajst-28811	151	6	algorithms	algorithm	NOUN
ajst-28811	151	7	,	,	PUNCT
ajst-28811	151	8	such	such	ADJ
ajst-28811	151	9	as	as	ADP
ajst-28811	151	10	genetic	genetic	ADJ
ajst-28811	151	11	algorithm	algorithm	NOUN
ajst-28811	151	12	,	,	PUNCT
ajst-28811	151	13	particle	particle	NOUN
ajst-28811	151	14	swarm	swarm	NOUN
ajst-28811	151	15	optimization	optimization	NOUN
ajst-28811	151	16	,	,	PUNCT
ajst-28811	151	17	and	and	CCONJ
ajst-28811	151	18	ant	ant	ADJ
ajst-28811	151	19	colony	colony	NOUN
ajst-28811	151	20	optimization	optimization	NOUN
ajst-28811	151	21	,	,	PUNCT
ajst-28811	151	22	ssa	ssa	PROPN
ajst-28811	151	23	offers	offer	VERB
ajst-28811	151	24	several	several	ADJ
ajst-28811	151	25	advantages	advantage	NOUN
ajst-28811	151	26	:	:	PUNCT
ajst-28811	151	27	efficient	efficient	ADJ
ajst-28811	151	28	,	,	PUNCT
ajst-28811	151	29	fast	fast	ADJ
ajst-28811	151	30	,	,	PUNCT
ajst-28811	151	31	parallel	parallel	ADJ
ajst-28811	151	32	,	,	PUNCT
ajst-28811	151	33	adaptive	adaptive	ADJ
ajst-28811	151	34	,	,	PUNCT
ajst-28811	151	35	robust	robust	ADJ
ajst-28811	151	36	,	,	PUNCT
ajst-28811	151	37	simple	simple	ADJ
ajst-28811	151	38	in	in	ADP
ajst-28811	151	39	computation	computation	NOUN
ajst-28811	151	40	,	,	PUNCT
ajst-28811	151	41	and	and	CCONJ
ajst-28811	151	42	globally	globally	ADV
ajst-28811	151	43	converging	converge	VERB
ajst-28811	151	44	to	to	ADP
ajst-28811	151	45	the	the	DET
ajst-28811	151	46	optimal	optimal	ADJ
ajst-28811	151	47	solution[23	solution[23	NOUN
ajst-28811	151	48	]	]	PUNCT
ajst-28811	151	49	.	.	PUNCT
ajst-28811	152	1	the	the	DET
ajst-28811	152	2	application	application	NOUN
ajst-28811	152	3	of	of	ADP
ajst-28811	152	4	ssa	ssa	NOUN
ajst-28811	152	5	can	can	AUX
ajst-28811	152	6	further	far	ADV
ajst-28811	152	7	improve	improve	VERB
ajst-28811	152	8	the	the	DET
ajst-28811	152	9	prediction	prediction	NOUN
ajst-28811	152	10	accuracy	accuracy	NOUN
ajst-28811	152	11	of	of	ADP
ajst-28811	152	12	models	model	NOUN
ajst-28811	152	13	and	and	CCONJ
ajst-28811	152	14	reduce	reduce	VERB
ajst-28811	152	15	the	the	DET
ajst-28811	152	16	processing	processing	NOUN
ajst-28811	152	17	time	time	NOUN
ajst-28811	152	18	for	for	ADP
ajst-28811	152	19	complex	complex	ADJ
ajst-28811	152	20	field	field	NOUN
ajst-28811	152	21	data	datum	NOUN
ajst-28811	152	22	.	.	PUNCT
ajst-28811	153	1	it	it	PRON
ajst-28811	153	2	is	be	AUX
ajst-28811	153	3	less	less	ADV
ajst-28811	153	4	likely	likely	ADJ
ajst-28811	153	5	to	to	PART
ajst-28811	153	6	fall	fall	VERB
ajst-28811	153	7	into	into	ADP
ajst-28811	153	8	local	local	ADJ
ajst-28811	153	9	optima	optima	NOUN
ajst-28811	153	10	,	,	PUNCT
ajst-28811	153	11	greatly	greatly	ADV
ajst-28811	153	12	enhancing	enhance	VERB
ajst-28811	153	13	the	the	DET
ajst-28811	153	14	model	model	NOUN
ajst-28811	153	15	's	's	PART
ajst-28811	153	16	ability	ability	NOUN
ajst-28811	153	17	to	to	PART
ajst-28811	153	18	be	be	AUX
ajst-28811	153	19	applied	apply	VERB
ajst-28811	153	20	in	in	ADP
ajst-28811	153	21	realworld	realworld	PROPN
ajst-28811	153	22	scenarios	scenario	NOUN
ajst-28811	153	23	,	,	PUNCT
ajst-28811	153	24	making	make	VERB
ajst-28811	153	25	it	it	PRON
ajst-28811	153	26	better	well	ADV
ajst-28811	153	27	suited	suit	VERB
ajst-28811	153	28	to	to	ADP
ajst-28811	153	29	the	the	DET
ajst-28811	153	30	needs	need	NOUN
ajst-28811	153	31	of	of	ADP
ajst-28811	153	32	wellsite	wellsite	ADJ
ajst-28811	153	33	operations	operation	NOUN
ajst-28811	153	34	and	and	CCONJ
ajst-28811	153	35	providing	provide	VERB
ajst-28811	153	36	reliable	reliable	ADJ
ajst-28811	153	37	support	support	NOUN
ajst-28811	153	38	for	for	ADP
ajst-28811	153	39	the	the	DET
ajst-28811	153	40	optimization	optimization	NOUN
ajst-28811	153	41	of	of	ADP
ajst-28811	153	42	fracturing	fracture	VERB
ajst-28811	153	43	construction	construction	NOUN
ajst-28811	153	44	plans	plan	NOUN
ajst-28811	153	45	.	.	PUNCT
ajst-28811	154	1	the	the	DET
ajst-28811	154	2	ssa	ssa	PROPN
ajst-28811	154	3	algorithm	algorithm	NOUN
ajst-28811	154	4	is	be	AUX
ajst-28811	154	5	employed	employ	VERB
ajst-28811	154	6	to	to	PART
ajst-28811	154	7	automatically	automatically	ADV
ajst-28811	154	8	optimize	optimize	VERB
ajst-28811	154	9	the	the	DET
ajst-28811	154	10	hyperparameters	hyperparameter	NOUN
ajst-28811	154	11	of	of	ADP
ajst-28811	154	12	the	the	DET
ajst-28811	154	13	xgboost	xgboost	PROPN
ajst-28811	154	14	algorithm	algorithm	PROPN
ajst-28811	154	15	,	,	PUNCT
ajst-28811	154	16	with	with	ADP
ajst-28811	154	17	a	a	DET
ajst-28811	154	18	focus	focus	NOUN
ajst-28811	154	19	on	on	ADP
ajst-28811	154	20	adjusting	adjust	VERB
ajst-28811	154	21	four	four	NUM
ajst-28811	154	22	key	key	ADJ
ajst-28811	154	23	hyperparameters	hyperparameter	NOUN
ajst-28811	154	24	:	:	PUNCT
ajst-28811	154	25	the	the	DET
ajst-28811	154	26	number	number	NOUN
ajst-28811	154	27	of	of	ADP
ajst-28811	154	28	trees	tree	NOUN
ajst-28811	154	29	(	(	PUNCT
ajst-28811	154	30	n_estimators	n_estimator	NOUN
ajst-28811	154	31	)	)	PUNCT
ajst-28811	154	32	,	,	PUNCT
ajst-28811	154	33	maximum	maximum	ADJ
ajst-28811	154	34	tree	tree	NOUN
ajst-28811	154	35	depth	depth	NOUN
ajst-28811	154	36	(	(	PUNCT
ajst-28811	154	37	max_depth	max_depth	NOUN
ajst-28811	154	38	)	)	PUNCT
ajst-28811	154	39	,	,	PUNCT
ajst-28811	154	40	learning	learn	VERB
ajst-28811	154	41	rate	rate	NOUN
ajst-28811	154	42	(	(	PUNCT
ajst-28811	154	43	learning_rate	learning_rate	PROPN
ajst-28811	154	44	)	)	PUNCT
ajst-28811	154	45	,	,	PUNCT
ajst-28811	154	46	and	and	CCONJ
ajst-28811	154	47	subsample	subsample	ADJ
ajst-28811	154	48	rate	rate	NOUN
ajst-28811	154	49	(	(	PUNCT
ajst-28811	154	50	subsample	subsample	NOUN
ajst-28811	154	51	)	)	PUNCT
ajst-28811	154	52	.	.	PUNCT
ajst-28811	155	1	the	the	DET
ajst-28811	155	2	specific	specific	ADJ
ajst-28811	155	3	steps	step	NOUN
ajst-28811	155	4	of	of	ADP
ajst-28811	155	5	the	the	DET
ajst-28811	155	6	ssa	ssa	NOUN
ajst-28811	155	7	-	-	PUNCT
ajst-28811	155	8	optimized	optimize	VERB
ajst-28811	155	9	xgboost	xgboost	NOUN
ajst-28811	155	10	algorithm	algorithm	PROPN
ajst-28811	155	11	are	be	AUX
ajst-28811	155	12	as	as	ADP
ajst-28811	155	13	follows:[24	follows:[24	PROPN
ajst-28811	155	14	]	]	X
ajst-28811	155	15	:	:	PUNCT
ajst-28811	155	16	1	1	X
ajst-28811	155	17	)	)	PUNCT
ajst-28811	155	18	input	input	NOUN
ajst-28811	155	19	the	the	DET
ajst-28811	155	20	dataset	dataset	NOUN
ajst-28811	155	21	and	and	CCONJ
ajst-28811	155	22	build	build	VERB
ajst-28811	155	23	the	the	DET
ajst-28811	155	24	shale	shale	NOUN
ajst-28811	155	25	gas	gas	NOUN
ajst-28811	155	26	production	production	NOUN
ajst-28811	155	27	prediction	prediction	NOUN
ajst-28811	155	28	model	model	NOUN
ajst-28811	155	29	based	base	VERB
ajst-28811	155	30	on	on	ADP
ajst-28811	155	31	xgboost	xgboost	PROPN
ajst-28811	155	32	.	.	PUNCT
ajst-28811	155	33	2	2	X
ajst-28811	155	34	)	)	PUNCT
ajst-28811	155	35	initialize	initialize	VERB
ajst-28811	155	36	the	the	DET
ajst-28811	155	37	sparrow	sparrow	ADJ
ajst-28811	155	38	population	population	NOUN
ajst-28811	155	39	and	and	CCONJ
ajst-28811	155	40	set	set	VERB
ajst-28811	155	41	the	the	DET
ajst-28811	155	42	maximum	maximum	ADJ
ajst-28811	155	43	number	number	NOUN
ajst-28811	155	44	of	of	ADP
ajst-28811	155	45	iterations	iteration	NOUN
ajst-28811	155	46	.	.	PUNCT
ajst-28811	156	1	3	3	X
ajst-28811	156	2	)	)	PUNCT
ajst-28811	156	3	train	train	VERB
ajst-28811	156	4	the	the	DET
ajst-28811	156	5	model	model	NOUN
ajst-28811	156	6	,	,	PUNCT
ajst-28811	156	7	calculate	calculate	VERB
ajst-28811	156	8	the	the	DET
ajst-28811	156	9	fitness	fitness	NOUN
ajst-28811	156	10	value	value	NOUN
ajst-28811	156	11	of	of	ADP
ajst-28811	156	12	each	each	DET
ajst-28811	156	13	sparrow	sparrow	NOUN
ajst-28811	156	14	,	,	PUNCT
ajst-28811	156	15	and	and	CCONJ
ajst-28811	156	16	rank	rank	VERB
ajst-28811	156	17	them	they	PRON
ajst-28811	156	18	.	.	PUNCT
ajst-28811	157	1	4	4	X
ajst-28811	157	2	)	)	PUNCT
ajst-28811	157	3	select	select	VERB
ajst-28811	157	4	the	the	DET
ajst-28811	157	5	next	next	ADJ
ajst-28811	157	6	generation	generation	NOUN
ajst-28811	157	7	until	until	SCONJ
ajst-28811	157	8	the	the	DET
ajst-28811	157	9	entire	entire	ADJ
ajst-28811	157	10	sparrow	sparrow	ADJ
ajst-28811	157	11	population	population	NOUN
ajst-28811	157	12	converges	converge	VERB
ajst-28811	157	13	.	.	PUNCT
ajst-28811	158	1	at	at	ADP
ajst-28811	158	2	this	this	DET
ajst-28811	158	3	point	point	NOUN
ajst-28811	158	4	,	,	PUNCT
ajst-28811	158	5	the	the	DET
ajst-28811	158	6	optimal	optimal	ADJ
ajst-28811	158	7	values	value	NOUN
ajst-28811	158	8	of	of	ADP
ajst-28811	158	9	the	the	DET
ajst-28811	158	10	four	four	NUM
ajst-28811	158	11	hyperparameters	hyperparameter	NOUN
ajst-28811	158	12	—	—	PUNCT
ajst-28811	158	13	gamma	gamma	NOUN
ajst-28811	158	14	,	,	PUNCT
ajst-28811	158	15	subsample	subsample	PROPN
ajst-28811	158	16	,	,	PUNCT
ajst-28811	158	17	colsample	colsample	NOUN
ajst-28811	158	18	_	_	PUNCT
ajst-28811	158	19	bytree	bytree	PROPN
ajst-28811	158	20	,	,	PUNCT
ajst-28811	158	21	alpha	alpha	NOUN
ajst-28811	158	22	,	,	PUNCT
ajst-28811	158	23	and	and	CCONJ
ajst-28811	158	24	lambda	lambda	NOUN
ajst-28811	158	25	—	—	PUNCT
ajst-28811	158	26	are	be	AUX
ajst-28811	158	27	obtained	obtain	VERB
ajst-28811	158	28	.	.	PUNCT
ajst-28811	159	1	if	if	SCONJ
ajst-28811	159	2	the	the	DET
ajst-28811	159	3	population	population	NOUN
ajst-28811	159	4	does	do	AUX
ajst-28811	159	5	not	not	PART
ajst-28811	159	6	converge	converge	VERB
ajst-28811	159	7	and	and	CCONJ
ajst-28811	159	8	the	the	DET
ajst-28811	159	9	maximum	maximum	ADJ
ajst-28811	159	10	number	number	NOUN
ajst-28811	159	11	of	of	ADP
ajst-28811	159	12	iterations	iteration	NOUN
ajst-28811	159	13	has	have	AUX
ajst-28811	159	14	not	not	PART
ajst-28811	159	15	been	be	AUX
ajst-28811	159	16	reached	reach	VERB
ajst-28811	159	17	,	,	PUNCT
ajst-28811	159	18	return	return	VERB
ajst-28811	159	19	to	to	PART
ajst-28811	159	20	step	step	VERB
ajst-28811	159	21	3	3	NUM
ajst-28811	159	22	and	and	CCONJ
ajst-28811	159	23	continue	continue	VERB
ajst-28811	159	24	iterating	iterate	VERB
ajst-28811	159	25	.	.	PUNCT
ajst-28811	160	1	5	5	X
ajst-28811	160	2	)	)	PUNCT
ajst-28811	160	3	determine	determine	VERB
ajst-28811	160	4	the	the	DET
ajst-28811	160	5	optimal	optimal	ADJ
ajst-28811	160	6	values	value	NOUN
ajst-28811	160	7	of	of	ADP
ajst-28811	160	8	the	the	DET
ajst-28811	160	9	four	four	NUM
ajst-28811	160	10	hyperparameters	hyperparameter	NOUN
ajst-28811	160	11	in	in	ADP
ajst-28811	160	12	the	the	DET
ajst-28811	160	13	xgboost	xgboost	ADJ
ajst-28811	160	14	algorithm	algorithm	NOUN
ajst-28811	160	15	and	and	CCONJ
ajst-28811	160	16	obtain	obtain	VERB
ajst-28811	160	17	the	the	DET
ajst-28811	160	18	shale	shale	NOUN
ajst-28811	160	19	gas	gas	NOUN
ajst-28811	160	20	production	production	NOUN
ajst-28811	160	21	prediction	prediction	NOUN
ajst-28811	160	22	model	model	NOUN
ajst-28811	160	23	based	base	VERB
ajst-28811	160	24	on	on	ADP
ajst-28811	160	25	ssaxgboost	ssaxgboost	NOUN
ajst-28811	160	26	,	,	PUNCT
ajst-28811	160	27	see	see	VERB
ajst-28811	160	28	figure	figure	NOUN
ajst-28811	160	29	1	1	NUM
ajst-28811	160	30	.	.	PUNCT
ajst-28811	160	31	figure	figure	NOUN
ajst-28811	160	32	1	1	NUM
ajst-28811	160	33	.	.	PUNCT
ajst-28811	161	1	ssa	ssa	NOUN
ajst-28811	161	2	optimizes	optimize	VERB
ajst-28811	161	3	the	the	DET
ajst-28811	161	4	xgboost	xgboost	PROPN
ajst-28811	161	5	flowchart	flowchart	PROPN
ajst-28811	161	6	3	3	PROPN
ajst-28811	161	7	.	.	PUNCT
ajst-28811	162	1	modeling	model	VERB
ajst-28811	162	2	experiment	experiment	NOUN
ajst-28811	162	3	analysis	analysis	NOUN
ajst-28811	162	4	grey	grey	ADJ
ajst-28811	162	5	relational	relational	ADJ
ajst-28811	162	6	analysis	analysis	NOUN
ajst-28811	162	7	(	(	PUNCT
ajst-28811	162	8	gra	gra	PROPN
ajst-28811	162	9	)	)	PUNCT
ajst-28811	162	10	is	be	AUX
ajst-28811	162	11	first	first	ADV
ajst-28811	162	12	applied	apply	VERB
ajst-28811	162	13	to	to	PART
ajst-28811	162	14	optimize	optimize	VERB
ajst-28811	162	15	and	and	CCONJ
ajst-28811	162	16	extract	extract	VERB
ajst-28811	162	17	the	the	DET
ajst-28811	162	18	main	main	ADJ
ajst-28811	162	19	influencing	influence	VERB
ajst-28811	162	20	factors	factor	NOUN
ajst-28811	162	21	from	from	ADP
ajst-28811	162	22	the	the	DET
ajst-28811	162	23	geological	geological	ADJ
ajst-28811	162	24	and	and	CCONJ
ajst-28811	162	25	operational	operational	ADJ
ajst-28811	162	26	factors	factor	NOUN
ajst-28811	162	27	affecting	affect	VERB
ajst-28811	162	28	fracturing	fracturing	NOUN
ajst-28811	162	29	performance	performance	NOUN
ajst-28811	162	30	.	.	PUNCT
ajst-28811	163	1	the	the	DET
ajst-28811	163	2	selected	select	VERB
ajst-28811	163	3	key	key	ADJ
ajst-28811	163	4	factors	factor	NOUN
ajst-28811	163	5	are	be	AUX
ajst-28811	163	6	used	use	VERB
ajst-28811	163	7	as	as	ADP
ajst-28811	163	8	input	input	NOUN
ajst-28811	163	9	variables	variable	NOUN
ajst-28811	163	10	,	,	PUNCT
ajst-28811	163	11	with	with	SCONJ
ajst-28811	163	12	the	the	DET
ajst-28811	163	13	fracturing	fracturing	NOUN
ajst-28811	163	14	performance	performance	NOUN
ajst-28811	163	15	evaluation	evaluation	NOUN
ajst-28811	163	16	index	index	NOUN
ajst-28811	163	17	(	(	PUNCT
ajst-28811	163	18	normalized	normalize	VERB
ajst-28811	163	19	daily	daily	ADJ
ajst-28811	163	20	gas	gas	NOUN
ajst-28811	163	21	production	production	NOUN
ajst-28811	163	22	)	)	PUNCT
ajst-28811	163	23	serving	serve	VERB
ajst-28811	163	24	as	as	ADP
ajst-28811	163	25	the	the	DET
ajst-28811	163	26	output	output	NOUN
ajst-28811	163	27	variable	variable	NOUN
ajst-28811	163	28	to	to	PART
ajst-28811	163	29	construct	construct	VERB
ajst-28811	163	30	the	the	DET
ajst-28811	163	31	xgboost	xgboost	PROPN
ajst-28811	163	32	model	model	PROPN
ajst-28811	163	33	.	.	PUNCT
ajst-28811	164	1	the	the	DET
ajst-28811	164	2	sparrow	sparrow	ADJ
ajst-28811	164	3	search	search	NOUN
ajst-28811	164	4	algorithm	algorithm	NOUN
ajst-28811	164	5	(	(	PUNCT
ajst-28811	164	6	ssa	ssa	NOUN
ajst-28811	164	7	)	)	PUNCT
ajst-28811	164	8	is	be	AUX
ajst-28811	164	9	then	then	ADV
ajst-28811	164	10	utilized	utilize	VERB
ajst-28811	164	11	to	to	PART
ajst-28811	164	12	optimize	optimize	VERB
ajst-28811	164	13	the	the	DET
ajst-28811	164	14	hyperparameters	hyperparameter	NOUN
ajst-28811	164	15	of	of	ADP
ajst-28811	164	16	the	the	DET
ajst-28811	164	17	model	model	NOUN
ajst-28811	164	18	,	,	PUNCT
ajst-28811	164	19	resulting	result	VERB
ajst-28811	164	20	in	in	ADP
ajst-28811	164	21	the	the	DET
ajst-28811	164	22	development	development	NOUN
ajst-28811	164	23	of	of	ADP
ajst-28811	164	24	an	an	DET
ajst-28811	164	25	ssa	ssa	NOUN
ajst-28811	164	26	-	-	PUNCT
ajst-28811	164	27	xgboost	xgboost	ADV
ajst-28811	164	28	-	-	PUNCT
ajst-28811	164	29	based	base	VERB
ajst-28811	164	30	shale	shale	NOUN
ajst-28811	164	31	gas	gas	NOUN
ajst-28811	164	32	production	production	NOUN
ajst-28811	164	33	prediction	prediction	NOUN
ajst-28811	164	34	model	model	NOUN
ajst-28811	164	35	.	.	PUNCT
ajst-28811	165	1	finally	finally	ADV
ajst-28811	165	2	,	,	PUNCT
ajst-28811	165	3	the	the	DET
ajst-28811	165	4	trained	train	VERB
ajst-28811	165	5	prediction	prediction	NOUN
ajst-28811	165	6	model	model	NOUN
ajst-28811	165	7	is	be	AUX
ajst-28811	165	8	employed	employ	VERB
ajst-28811	165	9	to	to	PART
ajst-28811	165	10	optimize	optimize	VERB
ajst-28811	165	11	and	and	CCONJ
ajst-28811	165	12	analyze	analyze	VERB
ajst-28811	165	13	the	the	DET
ajst-28811	165	14	fracturing	fracturing	NOUN
ajst-28811	165	15	operation	operation	NOUN
ajst-28811	165	16	parameters	parameter	NOUN
ajst-28811	165	17	.	.	PUNCT
ajst-28811	166	1	3.1	3.1	NUM
ajst-28811	166	2	.	.	PUNCT
ajst-28811	166	3	selection	selection	NOUN
ajst-28811	166	4	of	of	ADP
ajst-28811	166	5	key	key	ADJ
ajst-28811	166	6	variables	variable	NOUN
ajst-28811	166	7	geological	geological	ADJ
ajst-28811	166	8	,	,	PUNCT
ajst-28811	166	9	operational	operational	ADJ
ajst-28811	166	10	,	,	PUNCT
ajst-28811	166	11	and	and	CCONJ
ajst-28811	166	12	flowback	flowback	NOUN
ajst-28811	166	13	data	datum	NOUN
ajst-28811	166	14	from	from	ADP
ajst-28811	166	15	120	120	NUM
ajst-28811	166	16	shale	shale	NOUN
ajst-28811	166	17	gas	gas	NOUN
ajst-28811	166	18	wells	well	NOUN
ajst-28811	166	19	in	in	ADP
ajst-28811	166	20	the	the	DET
ajst-28811	166	21	y	y	PROPN
ajst-28811	166	22	block	block	NOUN
ajst-28811	166	23	,	,	PUNCT
ajst-28811	166	24	covering	cover	VERB
ajst-28811	166	25	the	the	DET
ajst-28811	166	26	period	period	NOUN
ajst-28811	166	27	from	from	ADP
ajst-28811	166	28	2018	2018	NUM
ajst-28811	166	29	to	to	ADP
ajst-28811	166	30	2022	2022	NUM
ajst-28811	166	31	,	,	PUNCT
ajst-28811	166	32	were	be	AUX
ajst-28811	166	33	collected	collect	VERB
ajst-28811	166	34	,	,	PUNCT
ajst-28811	166	35	organized	organized	ADJ
ajst-28811	166	36	,	,	PUNCT
ajst-28811	166	37	and	and	CCONJ
ajst-28811	166	38	processed	process	VERB
ajst-28811	166	39	.	.	PUNCT
ajst-28811	167	1	the	the	DET
ajst-28811	167	2	dataset	dataset	NOUN
ajst-28811	167	3	is	be	AUX
ajst-28811	167	4	complete	complete	ADJ
ajst-28811	167	5	,	,	PUNCT
ajst-28811	167	6	and	and	CCONJ
ajst-28811	167	7	120	120	NUM
ajst-28811	167	8	samples	sample	NOUN
ajst-28811	167	9	were	be	AUX
ajst-28811	167	10	selected	select	VERB
ajst-28811	167	11	for	for	ADP
ajst-28811	167	12	model	model	NOUN
ajst-28811	167	13	construction	construction	NOUN
ajst-28811	167	14	and	and	CCONJ
ajst-28811	167	15	analysis	analysis	NOUN
ajst-28811	167	16	.	.	PUNCT
ajst-28811	168	1	daily	daily	ADJ
ajst-28811	168	2	gas	gas	NOUN
ajst-28811	168	3	production	production	NOUN
ajst-28811	168	4	is	be	AUX
ajst-28811	168	5	chosen	choose	VERB
ajst-28811	168	6	as	as	ADP
ajst-28811	168	7	the	the	DET
ajst-28811	168	8	evaluation	evaluation	NOUN
ajst-28811	168	9	index	index	NOUN
ajst-28811	168	10	for	for	ADP
ajst-28811	168	11	fracturing	fracture	VERB
ajst-28811	168	12	performance	performance	NOUN
ajst-28811	168	13	,	,	PUNCT
ajst-28811	168	14	and	and	CCONJ
ajst-28811	168	15	the	the	DET
ajst-28811	168	16	influencing	influence	VERB
ajst-28811	168	17	factors	factor	NOUN
ajst-28811	168	18	are	be	AUX
ajst-28811	168	19	analyzed	analyze	VERB
ajst-28811	168	20	using	use	VERB
ajst-28811	168	21	gra	gra	PROPN
ajst-28811	168	22	.	.	PUNCT
ajst-28811	169	1	the	the	DET
ajst-28811	169	2	dataset	dataset	NOUN
ajst-28811	169	3	contains	contain	VERB
ajst-28811	169	4	15	15	NUM
ajst-28811	169	5	variables	variable	NOUN
ajst-28811	169	6	(	(	PUNCT
ajst-28811	169	7	14	14	NUM
ajst-28811	169	8	independent	independent	ADJ
ajst-28811	169	9	variables	variable	NOUN
ajst-28811	169	10	and	and	CCONJ
ajst-28811	169	11	1	1	NUM
ajst-28811	169	12	dependent	dependent	ADJ
ajst-28811	169	13	variable	variable	NOUN
ajst-28811	169	14	)	)	PUNCT
ajst-28811	169	15	,	,	PUNCT
ajst-28811	169	16	including	include	VERB
ajst-28811	169	17	total	total	ADJ
ajst-28811	169	18	organic	organic	ADJ
ajst-28811	169	19	carbon	carbon	NOUN
ajst-28811	169	20	(	(	PUNCT
ajst-28811	169	21	toc	toc	PROPN
ajst-28811	169	22	)	)	PUNCT
ajst-28811	169	23	,	,	PUNCT
ajst-28811	169	24	porosity	porosity	NOUN
ajst-28811	169	25	,	,	PUNCT
ajst-28811	169	26	gas	gas	NOUN
ajst-28811	169	27	content	content	NOUN
ajst-28811	169	28	,	,	PUNCT
ajst-28811	169	29	average	average	ADJ
ajst-28811	169	30	single	single	ADJ
ajst-28811	169	31	-	-	PUNCT
ajst-28811	169	32	stage	stage	NOUN
ajst-28811	169	33	length	length	NOUN
ajst-28811	169	34	,	,	PUNCT
ajst-28811	169	35	horizontal	horizontal	ADJ
ajst-28811	169	36	section	section	NOUN
ajst-28811	169	37	length	length	NOUN
ajst-28811	169	38	,	,	PUNCT
ajst-28811	169	39	number	number	NOUN
ajst-28811	169	40	of	of	ADP
ajst-28811	169	41	stages	stage	NOUN
ajst-28811	169	42	,	,	PUNCT
ajst-28811	169	43	total	total	ADJ
ajst-28811	169	44	cluster	cluster	NOUN
ajst-28811	169	45	number	number	NOUN
ajst-28811	169	46	,	,	PUNCT
ajst-28811	169	47	average	average	ADJ
ajst-28811	169	48	number	number	NOUN
ajst-28811	169	49	of	of	ADP
ajst-28811	169	50	clusters	cluster	NOUN
ajst-28811	169	51	per	per	ADP
ajst-28811	169	52	stage	stage	NOUN
ajst-28811	169	53	,	,	PUNCT
ajst-28811	169	54	operation	operation	NOUN
ajst-28811	169	55	flow	flow	NOUN
ajst-28811	169	56	rate	rate	NOUN
ajst-28811	169	57	,	,	PUNCT
ajst-28811	169	58	total	total	ADJ
ajst-28811	169	59	fracturing	fracturing	NOUN
ajst-28811	169	60	fluid	fluid	NOUN
ajst-28811	169	61	volume	volume	NOUN
ajst-28811	169	62	,	,	PUNCT
ajst-28811	169	63	proppant	proppant	NOUN
ajst-28811	169	64	intensity	intensity	NOUN
ajst-28811	169	65	,	,	PUNCT
ajst-28811	169	66	fluid	fluid	ADJ
ajst-28811	169	67	intensity	intensity	NOUN
ajst-28811	169	68	,	,	PUNCT
ajst-28811	169	69	total	total	ADJ
ajst-28811	169	70	proppant	proppant	NOUN
ajst-28811	169	71	volume	volume	NOUN
ajst-28811	169	72	,	,	PUNCT
ajst-28811	169	73	and	and	CCONJ
ajst-28811	169	74	normalized	normalize	VERB
ajst-28811	169	75	daily	daily	ADJ
ajst-28811	169	76	gas	gas	NOUN
ajst-28811	169	77	production.the	production.the	DET
ajst-28811	169	78	grey	grey	PROPN
ajst-28811	169	79	relational	relational	ADJ
ajst-28811	169	80	degree	degree	NOUN
ajst-28811	169	81	between	between	ADP
ajst-28811	169	82	each	each	DET
ajst-28811	169	83	factor	factor	NOUN
ajst-28811	169	84	and	and	CCONJ
ajst-28811	169	85	normalized	normalize	VERB
ajst-28811	169	86	daily	daily	ADJ
ajst-28811	169	87	gas	gas	NOUN
ajst-28811	169	88	production	production	NOUN
ajst-28811	169	89	is	be	AUX
ajst-28811	169	90	calculated	calculate	VERB
ajst-28811	169	91	,	,	PUNCT
ajst-28811	169	92	and	and	CCONJ
ajst-28811	169	93	the	the	DET
ajst-28811	169	94	factors	factor	NOUN
ajst-28811	169	95	are	be	AUX
ajst-28811	169	96	ranked	rank	VERB
ajst-28811	169	97	based	base	VERB
ajst-28811	169	98	on	on	ADP
ajst-28811	169	99	their	their	PRON
ajst-28811	169	100	relational	relational	ADJ
ajst-28811	169	101	degrees	degree	NOUN
ajst-28811	169	102	,	,	PUNCT
ajst-28811	169	103	see	see	VERB
ajst-28811	169	104	figure	figure	NOUN
ajst-28811	169	105	2	2	NUM
ajst-28811	169	106	.	.	NOUN
ajst-28811	169	107	236	236	NUM
ajst-28811	169	108	figure	figure	NOUN
ajst-28811	169	109	2	2	NUM
ajst-28811	169	110	.	.	PUNCT
ajst-28811	169	111	grey	grey	PROPN
ajst-28811	169	112	relational	relational	ADJ
ajst-28811	169	113	degree	degree	NOUN
ajst-28811	169	114	analysis	analysis	NOUN
ajst-28811	169	115	results	result	NOUN
ajst-28811	169	116	from	from	ADP
ajst-28811	169	117	figure	figure	NOUN
ajst-28811	169	118	2	2	NUM
ajst-28811	169	119	,	,	PUNCT
ajst-28811	169	120	it	it	PRON
ajst-28811	169	121	can	can	AUX
ajst-28811	169	122	be	be	AUX
ajst-28811	169	123	seen	see	VERB
ajst-28811	169	124	that	that	SCONJ
ajst-28811	169	125	nine	nine	NUM
ajst-28811	169	126	factors	factor	NOUN
ajst-28811	169	127	have	have	VERB
ajst-28811	169	128	a	a	DET
ajst-28811	169	129	relational	relational	ADJ
ajst-28811	169	130	degree	degree	NOUN
ajst-28811	169	131	value	value	NOUN
ajst-28811	169	132	above	above	ADP
ajst-28811	169	133	0.5	0.5	NUM
ajst-28811	169	134	.	.	PUNCT
ajst-28811	170	1	among	among	ADP
ajst-28811	170	2	these	these	PRON
ajst-28811	170	3	,	,	PUNCT
ajst-28811	170	4	the	the	DET
ajst-28811	170	5	effective	effective	ADJ
ajst-28811	170	6	horizontal	horizontal	ADJ
ajst-28811	170	7	section	section	NOUN
ajst-28811	170	8	length	length	NOUN
ajst-28811	170	9	and	and	CCONJ
ajst-28811	170	10	the	the	DET
ajst-28811	170	11	number	number	NOUN
ajst-28811	170	12	of	of	ADP
ajst-28811	170	13	stages	stage	NOUN
ajst-28811	170	14	have	have	VERB
ajst-28811	170	15	the	the	DET
ajst-28811	170	16	highest	high	ADJ
ajst-28811	170	17	relational	relational	ADJ
ajst-28811	170	18	degree	degree	NOUN
ajst-28811	170	19	values	value	NOUN
ajst-28811	170	20	of	of	ADP
ajst-28811	170	21	0.81	0.81	NUM
ajst-28811	170	22	and	and	CCONJ
ajst-28811	170	23	0.77	0.77	NUM
ajst-28811	170	24	,	,	PUNCT
ajst-28811	170	25	respectively	respectively	ADV
ajst-28811	170	26	,	,	PUNCT
ajst-28811	170	27	indicating	indicate	VERB
ajst-28811	170	28	that	that	SCONJ
ajst-28811	170	29	these	these	DET
ajst-28811	170	30	two	two	NUM
ajst-28811	170	31	factors	factor	NOUN
ajst-28811	170	32	have	have	VERB
ajst-28811	170	33	a	a	DET
ajst-28811	170	34	significant	significant	ADJ
ajst-28811	170	35	positive	positive	ADJ
ajst-28811	170	36	impact	impact	NOUN
ajst-28811	170	37	on	on	ADP
ajst-28811	170	38	normalized	normalize	VERB
ajst-28811	170	39	daily	daily	ADJ
ajst-28811	170	40	gas	gas	NOUN
ajst-28811	170	41	production	production	NOUN
ajst-28811	170	42	.	.	PUNCT
ajst-28811	171	1	additionally	additionally	ADV
ajst-28811	171	2	,	,	PUNCT
ajst-28811	171	3	physical	physical	ADJ
ajst-28811	171	4	parameters	parameter	NOUN
ajst-28811	171	5	such	such	ADJ
ajst-28811	171	6	as	as	ADP
ajst-28811	171	7	toc	toc	NOUN
ajst-28811	171	8	and	and	CCONJ
ajst-28811	171	9	gas	gas	NOUN
ajst-28811	171	10	content	content	NOUN
ajst-28811	171	11	show	show	VERB
ajst-28811	171	12	strong	strong	ADJ
ajst-28811	171	13	correlations	correlation	NOUN
ajst-28811	171	14	,	,	PUNCT
ajst-28811	171	15	with	with	ADP
ajst-28811	171	16	relational	relational	ADJ
ajst-28811	171	17	degree	degree	NOUN
ajst-28811	171	18	values	value	NOUN
ajst-28811	171	19	of	of	ADP
ajst-28811	171	20	0.71	0.71	NUM
ajst-28811	171	21	and	and	CCONJ
ajst-28811	171	22	0.63	0.63	NUM
ajst-28811	171	23	,	,	PUNCT
ajst-28811	171	24	respectively	respectively	ADV
ajst-28811	171	25	,	,	PUNCT
ajst-28811	171	26	suggesting	suggest	VERB
ajst-28811	171	27	that	that	SCONJ
ajst-28811	171	28	reservoirs	reservoir	NOUN
ajst-28811	171	29	with	with	ADP
ajst-28811	171	30	better	well	ADJ
ajst-28811	171	31	physical	physical	ADJ
ajst-28811	171	32	properties	property	NOUN
ajst-28811	171	33	tend	tend	VERB
ajst-28811	171	34	to	to	PART
ajst-28811	171	35	have	have	VERB
ajst-28811	171	36	higher	high	ADJ
ajst-28811	171	37	production	production	NOUN
ajst-28811	171	38	rates	rate	NOUN
ajst-28811	171	39	.	.	PUNCT
ajst-28811	172	1	the	the	DET
ajst-28811	172	2	factors	factor	NOUN
ajst-28811	172	3	with	with	ADP
ajst-28811	172	4	relational	relational	ADJ
ajst-28811	172	5	degree	degree	NOUN
ajst-28811	172	6	values	value	NOUN
ajst-28811	172	7	above	above	ADP
ajst-28811	172	8	0.5	0.5	NUM
ajst-28811	172	9	contain	contain	VERB
ajst-28811	172	10	most	most	ADJ
ajst-28811	172	11	of	of	ADP
ajst-28811	172	12	the	the	DET
ajst-28811	172	13	original	original	ADJ
ajst-28811	172	14	information	information	NOUN
ajst-28811	172	15	.	.	PUNCT
ajst-28811	173	1	therefore	therefore	ADV
ajst-28811	173	2	,	,	PUNCT
ajst-28811	173	3	these	these	DET
ajst-28811	173	4	nine	nine	NUM
ajst-28811	173	5	factors	factor	NOUN
ajst-28811	173	6	are	be	AUX
ajst-28811	173	7	selected	select	VERB
ajst-28811	173	8	as	as	ADP
ajst-28811	173	9	the	the	DET
ajst-28811	173	10	main	main	ADJ
ajst-28811	173	11	input	input	NOUN
ajst-28811	173	12	parameters	parameter	NOUN
ajst-28811	173	13	,	,	PUNCT
ajst-28811	173	14	with	with	ADP
ajst-28811	173	15	normalized	normalize	VERB
ajst-28811	173	16	daily	daily	ADJ
ajst-28811	173	17	gas	gas	NOUN
ajst-28811	173	18	production	production	NOUN
ajst-28811	173	19	as	as	ADP
ajst-28811	173	20	the	the	DET
ajst-28811	173	21	output	output	NOUN
ajst-28811	173	22	variable	variable	NOUN
ajst-28811	173	23	,	,	PUNCT
ajst-28811	173	24	for	for	ADP
ajst-28811	173	25	the	the	DET
ajst-28811	173	26	construction	construction	NOUN
ajst-28811	173	27	of	of	ADP
ajst-28811	173	28	the	the	DET
ajst-28811	173	29	shale	shale	NOUN
ajst-28811	173	30	gas	gas	NOUN
ajst-28811	173	31	production	production	NOUN
ajst-28811	173	32	prediction	prediction	NOUN
ajst-28811	173	33	model	model	NOUN
ajst-28811	173	34	.	.	PUNCT
ajst-28811	174	1	3.2	3.2	NUM
ajst-28811	174	2	.	.	PUNCT
ajst-28811	174	3	model	model	NOUN
ajst-28811	174	4	evaluation	evaluation	NOUN
ajst-28811	174	5	metrics	metric	NOUN
ajst-28811	174	6	to	to	PART
ajst-28811	174	7	evaluate	evaluate	VERB
ajst-28811	174	8	the	the	DET
ajst-28811	174	9	performance	performance	NOUN
ajst-28811	174	10	of	of	ADP
ajst-28811	174	11	the	the	DET
ajst-28811	174	12	models	model	NOUN
ajst-28811	174	13	,	,	PUNCT
ajst-28811	174	14	commonly	commonly	ADV
ajst-28811	174	15	used	use	VERB
ajst-28811	174	16	regression	regression	NOUN
ajst-28811	174	17	evaluation	evaluation	NOUN
ajst-28811	174	18	metrics	metric	NOUN
ajst-28811	174	19	,	,	PUNCT
ajst-28811	174	20	including	include	VERB
ajst-28811	174	21	mean	mean	ADJ
ajst-28811	174	22	squared	square	VERB
ajst-28811	174	23	error	error	NOUN
ajst-28811	174	24	(	(	PUNCT
ajst-28811	174	25	mse	mse	NOUN
ajst-28811	174	26	)	)	PUNCT
ajst-28811	174	27	,	,	PUNCT
ajst-28811	174	28	mean	mean	VERB
ajst-28811	174	29	relative	relative	ADJ
ajst-28811	174	30	error	error	NOUN
ajst-28811	174	31	(	(	PUNCT
ajst-28811	174	32	mre	mre	NOUN
ajst-28811	174	33	)	)	PUNCT
ajst-28811	174	34	,	,	PUNCT
ajst-28811	174	35	and	and	CCONJ
ajst-28811	174	36	coefficient	coefficient	NOUN
ajst-28811	174	37	of	of	ADP
ajst-28811	174	38	determination	determination	NOUN
ajst-28811	174	39	(	(	PUNCT
ajst-28811	174	40	r²	r²	PROPN
ajst-28811	174	41	)	)	PUNCT
ajst-28811	174	42	,	,	PUNCT
ajst-28811	174	43	are	be	AUX
ajst-28811	174	44	applied	apply	VERB
ajst-28811	174	45	.	.	PUNCT
ajst-28811	175	1	the	the	DET
ajst-28811	175	2	formulas	formula	NOUN
ajst-28811	175	3	for	for	ADP
ajst-28811	175	4	these	these	DET
ajst-28811	175	5	metrics	metric	NOUN
ajst-28811	175	6	are	be	AUX
ajst-28811	175	7	as	as	ADP
ajst-28811	175	8	follows[25	follows[25	NOUN
ajst-28811	175	9	]	]	X
ajst-28811	175	10	:	:	PUNCT
ajst-28811	175	11			NOUN
ajst-28811	175	12	2	2	ADJ
ajst-28811	175	13	1	1	NUM
ajst-28811	175	14	1	1	NUM
ajst-28811	175	15	ˆ	ˆ	NOUN
ajst-28811	175	16	n	n	NOUN
ajst-28811	176	1	i	i	PRON
ajst-28811	176	2	i	i	PRON
ajst-28811	177	1	i	i	PRON
ajst-28811	177	2	mse	mse	VERB
ajst-28811	177	3	y	y	PROPN
ajst-28811	177	4	y	y	PROPN
ajst-28811	178	1	n	n	CCONJ
ajst-28811	178	2			NUM
ajst-28811	178	3			NUM
ajst-28811	179	1			NOUN
ajst-28811	179	2	(	(	PUNCT
ajst-28811	179	3	15	15	NUM
ajst-28811	179	4	)	)	SYM
ajst-28811	179	5	1	1	NUM
ajst-28811	179	6	ˆ1	ˆ1	NOUN
ajst-28811	179	7	n	n	NOUN
ajst-28811	180	1	i	i	PRON
ajst-28811	180	2	i	i	PRON
ajst-28811	181	1	i	i	PRON
ajst-28811	182	1	i	i	VERB
ajst-28811	182	2	y	y	VERB
ajst-28811	182	3	y	y	PROPN
ajst-28811	182	4	mre	mre	PROPN
ajst-28811	182	5	n	n	PROPN
ajst-28811	182	6	y	y	PROPN
ajst-28811	182	7			PROPN
ajst-28811	182	8			NOUN
ajst-28811	182	9			X
ajst-28811	182	10	(	(	PUNCT
ajst-28811	182	11	16	16	NUM
ajst-28811	182	12	)	)	PUNCT
ajst-28811	182	13			NOUN
ajst-28811	183	1			PUNCT
ajst-28811	183	2			NOUN
ajst-28811	183	3			NOUN
ajst-28811	183	4	2	2	NUM
ajst-28811	183	5	2	2	NUM
ajst-28811	183	6	1	1	NUM
ajst-28811	183	7	2	2	NUM
ajst-28811	183	8	1	1	NUM
ajst-28811	183	9	ˆ	ˆ	NOUN
ajst-28811	183	10	1	1	NUM
ajst-28811	183	11	n	n	NOUN
ajst-28811	184	1	i	i	PRON
ajst-28811	184	2	i	i	PRON
ajst-28811	185	1	i	i	PRON
ajst-28811	185	2	n	n	VERB
ajst-28811	186	1	i	i	PRON
ajst-28811	186	2	i	i	INTJ
ajst-28811	187	1	y	y	VERB
ajst-28811	187	2	y	y	NOUN
ajst-28811	187	3	r	r	NOUN
ajst-28811	187	4	y	y	PROPN
ajst-28811	188	1	y	y	PROPN
ajst-28811	188	2			NOUN
ajst-28811	188	3			NUM
ajst-28811	189	1			NOUN
ajst-28811	189	2			PROPN
ajst-28811	189	3			PROPN
ajst-28811	189	4			PROPN
ajst-28811	189	5	(	(	PUNCT
ajst-28811	189	6	17	17	NUM
ajst-28811	189	7	)	)	PUNCT
ajst-28811	189	8	where	where	SCONJ
ajst-28811	189	9	:	:	PUNCT
ajst-28811	189	10	ˆiy	ˆiy	NOUN
ajst-28811	189	11	is	be	AUX
ajst-28811	189	12	the	the	DET
ajst-28811	189	13	predicted	predict	VERB
ajst-28811	189	14	value	value	NOUN
ajst-28811	189	15	,	,	PUNCT
ajst-28811	189	16	iy	iy	PROPN
ajst-28811	189	17	is	be	AUX
ajst-28811	189	18	the	the	DET
ajst-28811	189	19	actual	actual	ADJ
ajst-28811	189	20	value	value	NOUN
ajst-28811	189	21	,	,	PUNCT
ajst-28811	189	22	and	and	CCONJ
ajst-28811	189	23	y	y	PROPN
ajst-28811	189	24	represents	represent	VERB
ajst-28811	189	25	the	the	DET
ajst-28811	189	26	mean	mean	ADJ
ajst-28811	189	27	value	value	NOUN
ajst-28811	189	28	.	.	PUNCT
ajst-28811	190	1	among	among	ADP
ajst-28811	190	2	them	they	PRON
ajst-28811	190	3	,	,	PUNCT
ajst-28811	190	4	mse	mse	PROPN
ajst-28811	190	5	reflects	reflect	VERB
ajst-28811	190	6	the	the	DET
ajst-28811	190	7	degree	degree	NOUN
ajst-28811	190	8	of	of	ADP
ajst-28811	190	9	variation	variation	NOUN
ajst-28811	190	10	in	in	ADP
ajst-28811	190	11	the	the	DET
ajst-28811	190	12	data	datum	NOUN
ajst-28811	190	13	;	;	PUNCT
ajst-28811	190	14	the	the	PRON
ajst-28811	190	15	closer	close	ADJ
ajst-28811	190	16	it	it	PRON
ajst-28811	190	17	is	be	AUX
ajst-28811	190	18	to	to	ADP
ajst-28811	190	19	0	0	NUM
ajst-28811	190	20	,	,	PUNCT
ajst-28811	190	21	the	the	PRON
ajst-28811	190	22	higher	high	ADJ
ajst-28811	190	23	the	the	DET
ajst-28811	190	24	model	model	NOUN
ajst-28811	190	25	's	's	PART
ajst-28811	190	26	accuracy	accuracy	NOUN
ajst-28811	190	27	.	.	PUNCT
ajst-28811	191	1	mre	mre	PROPN
ajst-28811	191	2	represents	represent	VERB
ajst-28811	191	3	the	the	DET
ajst-28811	191	4	relative	relative	ADJ
ajst-28811	191	5	error	error	NOUN
ajst-28811	191	6	between	between	ADP
ajst-28811	191	7	the	the	DET
ajst-28811	191	8	predicted	predict	VERB
ajst-28811	191	9	and	and	CCONJ
ajst-28811	191	10	actual	actual	ADJ
ajst-28811	191	11	values	value	NOUN
ajst-28811	191	12	;	;	PUNCT
ajst-28811	191	13	the	the	PRON
ajst-28811	191	14	closer	close	ADJ
ajst-28811	191	15	it	it	PRON
ajst-28811	191	16	is	be	AUX
ajst-28811	191	17	to	to	ADP
ajst-28811	191	18	0	0	NUM
ajst-28811	191	19	,	,	PUNCT
ajst-28811	191	20	the	the	PRON
ajst-28811	191	21	greater	great	ADJ
ajst-28811	191	22	the	the	DET
ajst-28811	191	23	model	model	NOUN
ajst-28811	191	24	's	's	PART
ajst-28811	191	25	accuracy	accuracy	NOUN
ajst-28811	191	26	and	and	CCONJ
ajst-28811	191	27	stability	stability	NOUN
ajst-28811	191	28	.	.	PUNCT
ajst-28811	192	1	r²	r²	NOUN
ajst-28811	192	2	indicates	indicate	VERB
ajst-28811	192	3	the	the	DET
ajst-28811	192	4	goodness	goodness	NOUN
ajst-28811	192	5	of	of	ADP
ajst-28811	192	6	fit	fit	NOUN
ajst-28811	192	7	between	between	ADP
ajst-28811	192	8	the	the	DET
ajst-28811	192	9	predicted	predict	VERB
ajst-28811	192	10	and	and	CCONJ
ajst-28811	192	11	actual	actual	ADJ
ajst-28811	192	12	values	value	NOUN
ajst-28811	192	13	;	;	PUNCT
ajst-28811	192	14	the	the	PRON
ajst-28811	192	15	closer	close	ADV
ajst-28811	192	16	the	the	DET
ajst-28811	192	17	value	value	NOUN
ajst-28811	192	18	is	be	AUX
ajst-28811	192	19	to	to	ADP
ajst-28811	192	20	1	1	NUM
ajst-28811	192	21	,	,	PUNCT
ajst-28811	192	22	the	the	PRON
ajst-28811	192	23	better	well	ADJ
ajst-28811	192	24	the	the	DET
ajst-28811	192	25	model	model	NOUN
ajst-28811	192	26	's	's	PART
ajst-28811	192	27	performance	performance	NOUN
ajst-28811	192	28	.	.	PUNCT
ajst-28811	193	1	represents	represent	VERB
ajst-28811	193	2	the	the	DET
ajst-28811	193	3	predicted	predict	VERB
ajst-28811	193	4	value	value	NOUN
ajst-28811	193	5	,	,	PUNCT
ajst-28811	193	6	represents	represent	VERB
ajst-28811	193	7	the	the	DET
ajst-28811	193	8	actual	actual	ADJ
ajst-28811	193	9	value	value	NOUN
ajst-28811	193	10	,	,	PUNCT
ajst-28811	193	11	and	and	CCONJ
ajst-28811	193	12	represents	represent	VERB
ajst-28811	193	13	the	the	DET
ajst-28811	193	14	mean	mean	ADJ
ajst-28811	193	15	value	value	NOUN
ajst-28811	193	16	.	.	PUNCT
ajst-28811	194	1	among	among	ADP
ajst-28811	194	2	them	they	PRON
ajst-28811	194	3	,	,	PUNCT
ajst-28811	194	4	intuitively	intuitively	ADV
ajst-28811	194	5	reflects	reflect	VERB
ajst-28811	194	6	the	the	DET
ajst-28811	194	7	degree	degree	NOUN
ajst-28811	194	8	of	of	ADP
ajst-28811	194	9	variation	variation	NOUN
ajst-28811	194	10	in	in	ADP
ajst-28811	194	11	the	the	DET
ajst-28811	194	12	data	datum	NOUN
ajst-28811	194	13	;	;	PUNCT
ajst-28811	194	14	the	the	PRON
ajst-28811	194	15	closer	close	ADJ
ajst-28811	194	16	it	it	PRON
ajst-28811	194	17	is	be	AUX
ajst-28811	194	18	to	to	ADP
ajst-28811	194	19	0	0	NUM
ajst-28811	194	20	,	,	PUNCT
ajst-28811	194	21	the	the	PRON
ajst-28811	194	22	higher	high	ADJ
ajst-28811	194	23	the	the	DET
ajst-28811	194	24	model	model	NOUN
ajst-28811	194	25	's	's	PART
ajst-28811	194	26	accuracy	accuracy	NOUN
ajst-28811	194	27	.	.	PUNCT
ajst-28811	195	1	reflects	reflect	VERB
ajst-28811	195	2	the	the	DET
ajst-28811	195	3	relative	relative	ADJ
ajst-28811	195	4	error	error	NOUN
ajst-28811	195	5	between	between	ADP
ajst-28811	195	6	the	the	DET
ajst-28811	195	7	predicted	predict	VERB
ajst-28811	195	8	and	and	CCONJ
ajst-28811	195	9	actual	actual	ADJ
ajst-28811	195	10	values	value	NOUN
ajst-28811	195	11	;	;	PUNCT
ajst-28811	195	12	the	the	PRON
ajst-28811	195	13	closer	close	ADJ
ajst-28811	195	14	it	it	PRON
ajst-28811	195	15	is	be	AUX
ajst-28811	195	16	to	to	ADP
ajst-28811	195	17	0	0	NUM
ajst-28811	195	18	,	,	PUNCT
ajst-28811	195	19	the	the	PRON
ajst-28811	195	20	higher	high	ADJ
ajst-28811	195	21	the	the	DET
ajst-28811	195	22	model	model	NOUN
ajst-28811	195	23	's	's	PART
ajst-28811	195	24	accuracy	accuracy	NOUN
ajst-28811	195	25	and	and	CCONJ
ajst-28811	195	26	stability	stability	NOUN
ajst-28811	195	27	.	.	PUNCT
ajst-28811	196	1	characterizes	characterize	VERB
ajst-28811	196	2	the	the	DET
ajst-28811	196	3	model	model	NOUN
ajst-28811	196	4	's	's	PART
ajst-28811	196	5	goodness	goodness	NOUN
ajst-28811	196	6	of	of	ADP
ajst-28811	196	7	fit	fit	NOUN
ajst-28811	196	8	between	between	ADP
ajst-28811	196	9	the	the	DET
ajst-28811	196	10	predicted	predict	VERB
ajst-28811	196	11	and	and	CCONJ
ajst-28811	196	12	actual	actual	ADJ
ajst-28811	196	13	values	value	NOUN
ajst-28811	196	14	;	;	PUNCT
ajst-28811	196	15	the	the	PRON
ajst-28811	196	16	closer	close	ADV
ajst-28811	196	17	the	the	DET
ajst-28811	196	18	value	value	NOUN
ajst-28811	196	19	is	be	AUX
ajst-28811	196	20	to	to	ADP
ajst-28811	196	21	1	1	NUM
ajst-28811	196	22	,	,	PUNCT
ajst-28811	196	23	the	the	PRON
ajst-28811	196	24	better	well	ADJ
ajst-28811	196	25	the	the	DET
ajst-28811	196	26	model	model	NOUN
ajst-28811	196	27	performance	performance	NOUN
ajst-28811	196	28	.	.	PUNCT
ajst-28811	197	1	3.3	3.3	NUM
ajst-28811	197	2	.	.	PUNCT
ajst-28811	197	3	establishment	establishment	NOUN
ajst-28811	197	4	of	of	ADP
ajst-28811	197	5	the	the	DET
ajst-28811	197	6	ssa	ssa	NOUN
ajst-28811	197	7	-	-	PUNCT
ajst-28811	197	8	xgboost	xgboost	PROPN
ajst-28811	197	9	shale	shale	NOUN
ajst-28811	197	10	gas	gas	NOUN
ajst-28811	197	11	production	production	NOUN
ajst-28811	197	12	prediction	prediction	NOUN
ajst-28811	197	13	model	model	NOUN
ajst-28811	197	14	based	base	VERB
ajst-28811	197	15	on	on	ADP
ajst-28811	197	16	the	the	DET
ajst-28811	197	17	selected	select	VERB
ajst-28811	197	18	120	120	NUM
ajst-28811	197	19	samples	sample	NOUN
ajst-28811	197	20	,	,	PUNCT
ajst-28811	197	21	70	70	NUM
ajst-28811	197	22	%	%	NOUN
ajst-28811	197	23	of	of	ADP
ajst-28811	197	24	the	the	DET
ajst-28811	197	25	samples	sample	NOUN
ajst-28811	197	26	are	be	AUX
ajst-28811	197	27	used	use	VERB
ajst-28811	197	28	as	as	ADP
ajst-28811	197	29	the	the	DET
ajst-28811	197	30	training	training	NOUN
ajst-28811	197	31	set	set	NOUN
ajst-28811	197	32	and	and	CCONJ
ajst-28811	197	33	30	30	NUM
ajst-28811	197	34	%	%	NOUN
ajst-28811	197	35	as	as	SCONJ
ajst-28811	197	36	the	the	DET
ajst-28811	197	37	test	test	NOUN
ajst-28811	197	38	set	set	VERB
ajst-28811	197	39	to	to	PART
ajst-28811	197	40	ensure	ensure	VERB
ajst-28811	197	41	that	that	SCONJ
ajst-28811	197	42	the	the	DET
ajst-28811	197	43	model	model	NOUN
ajst-28811	197	44	has	have	VERB
ajst-28811	197	45	sufficient	sufficient	ADJ
ajst-28811	197	46	learning	learning	NOUN
ajst-28811	197	47	capacity	capacity	NOUN
ajst-28811	197	48	for	for	ADP
ajst-28811	197	49	generalization	generalization	NOUN
ajst-28811	197	50	.	.	PUNCT
ajst-28811	198	1	after	after	ADP
ajst-28811	198	2	feature	feature	NOUN
ajst-28811	198	3	selection	selection	NOUN
ajst-28811	198	4	through	through	ADP
ajst-28811	198	5	grey	grey	ADJ
ajst-28811	198	6	relational	relational	ADJ
ajst-28811	198	7	analysis	analysis	NOUN
ajst-28811	198	8	,	,	PUNCT
ajst-28811	198	9	there	there	PRON
ajst-28811	198	10	are	be	VERB
ajst-28811	198	11	9	9	NUM
ajst-28811	198	12	input	input	NOUN
ajst-28811	198	13	vectors	vector	NOUN
ajst-28811	198	14	and	and	CCONJ
ajst-28811	198	15	1	1	NUM
ajst-28811	198	16	output	output	NOUN
ajst-28811	198	17	vector	vector	NOUN
ajst-28811	198	18	.	.	PUNCT
ajst-28811	199	1	the	the	DET
ajst-28811	199	2	xgboost	xgboost	PROPN
ajst-28811	199	3	model	model	NOUN
ajst-28811	199	4	for	for	ADP
ajst-28811	199	5	shale	shale	NOUN
ajst-28811	199	6	gas	gas	NOUN
ajst-28811	199	7	production	production	NOUN
ajst-28811	199	8	prediction	prediction	NOUN
ajst-28811	199	9	is	be	AUX
ajst-28811	199	10	constructed	construct	VERB
ajst-28811	199	11	using	use	VERB
ajst-28811	199	12	the	the	DET
ajst-28811	199	13	training	training	NOUN
ajst-28811	199	14	set	set	NOUN
ajst-28811	199	15	,	,	PUNCT
ajst-28811	199	16	and	and	CCONJ
ajst-28811	199	17	the	the	DET
ajst-28811	199	18	ssa	ssa	PROPN
ajst-28811	199	19	algorithm	algorithm	NOUN
ajst-28811	199	20	is	be	AUX
ajst-28811	199	21	applied	apply	VERB
ajst-28811	199	22	to	to	PART
ajst-28811	199	23	optimize	optimize	VERB
ajst-28811	199	24	the	the	DET
ajst-28811	199	25	values	value	NOUN
ajst-28811	199	26	of	of	ADP
ajst-28811	199	27	4	4	NUM
ajst-28811	199	28	hyperparameters	hyperparameter	NOUN
ajst-28811	199	29	in	in	ADP
ajst-28811	199	30	the	the	DET
ajst-28811	199	31	xgboost	xgboost	PROPN
ajst-28811	199	32	model	model	PROPN
ajst-28811	199	33	:	:	PUNCT
ajst-28811	199	34	n_estimators	n_estimator	NOUN
ajst-28811	199	35	,	,	PUNCT
ajst-28811	199	36	max_depth	max_depth	NOUN
ajst-28811	199	37	,	,	PUNCT
ajst-28811	199	38	learning_rate	learning_rate	PROPN
ajst-28811	199	39	,	,	PUNCT
ajst-28811	199	40	and	and	CCONJ
ajst-28811	199	41	subsample	subsample	NOUN
ajst-28811	199	42	.	.	PUNCT
ajst-28811	200	1	the	the	DET
ajst-28811	200	2	sparrow	sparrow	ADJ
ajst-28811	200	3	population	population	NOUN
ajst-28811	200	4	size	size	NOUN
ajst-28811	200	5	is	be	AUX
ajst-28811	200	6	initially	initially	ADV
ajst-28811	200	7	set	set	VERB
ajst-28811	200	8	to	to	ADP
ajst-28811	200	9	30	30	NUM
ajst-28811	200	10	,	,	PUNCT
ajst-28811	200	11	with	with	ADP
ajst-28811	200	12	200	200	NUM
ajst-28811	200	13	iterations	iteration	NOUN
ajst-28811	200	14	.	.	PUNCT
ajst-28811	201	1	the	the	DET
ajst-28811	201	2	mean	mean	ADJ
ajst-28811	201	3	squared	square	VERB
ajst-28811	201	4	error	error	NOUN
ajst-28811	201	5	(	(	PUNCT
ajst-28811	201	6	mse	mse	NOUN
ajst-28811	201	7	)	)	PUNCT
ajst-28811	201	8	is	be	AUX
ajst-28811	201	9	used	use	VERB
ajst-28811	201	10	as	as	ADP
ajst-28811	201	11	the	the	DET
ajst-28811	201	12	fitness	fitness	NOUN
ajst-28811	201	13	evaluation	evaluation	NOUN
ajst-28811	201	14	metric	metric	NOUN
ajst-28811	201	15	for	for	ADP
ajst-28811	201	16	the	the	DET
ajst-28811	201	17	model	model	NOUN
ajst-28811	201	18	during	during	ADP
ajst-28811	201	19	iterative	iterative	NOUN
ajst-28811	201	20	training	training	NOUN
ajst-28811	201	21	.	.	PUNCT
ajst-28811	202	1	the	the	DET
ajst-28811	202	2	curve	curve	NOUN
ajst-28811	202	3	of	of	ADP
ajst-28811	202	4	mse	mse	NOUN
ajst-28811	202	5	values	value	NOUN
ajst-28811	202	6	with	with	ADP
ajst-28811	202	7	respect	respect	NOUN
ajst-28811	202	8	to	to	ADP
ajst-28811	202	9	the	the	DET
ajst-28811	202	10	number	number	NOUN
ajst-28811	202	11	of	of	ADP
ajst-28811	202	12	iterations	iteration	NOUN
ajst-28811	202	13	for	for	ADP
ajst-28811	202	14	the	the	DET
ajst-28811	202	15	xgboost	xgboost	PROPN
ajst-28811	202	16	model	model	PROPN
ajst-28811	202	17	,	,	PUNCT
ajst-28811	202	18	see	see	VERB
ajst-28811	202	19	figure	figure	NOUN
ajst-28811	202	20	3	3	NUM
ajst-28811	202	21	.	.	PUNCT
ajst-28811	203	1	the	the	DET
ajst-28811	203	2	horizontal	horizontal	ADJ
ajst-28811	203	3	axis	axis	NOUN
ajst-28811	203	4	represents	represent	VERB
ajst-28811	203	5	the	the	DET
ajst-28811	203	6	number	number	NOUN
ajst-28811	203	7	of	of	ADP
ajst-28811	203	8	iterations	iteration	NOUN
ajst-28811	203	9	,	,	PUNCT
ajst-28811	203	10	and	and	CCONJ
ajst-28811	203	11	the	the	DET
ajst-28811	203	12	vertical	vertical	ADJ
ajst-28811	203	13	axis	axis	NOUN
ajst-28811	203	14	represents	represent	VERB
ajst-28811	203	15	the	the	DET
ajst-28811	203	16	mse	mse	NOUN
ajst-28811	203	17	value	value	NOUN
ajst-28811	203	18	.	.	PUNCT
ajst-28811	204	1	as	as	SCONJ
ajst-28811	204	2	the	the	DET
ajst-28811	204	3	ssa	ssa	PROPN
ajst-28811	204	4	algorithm	algorithm	NOUN
ajst-28811	204	5	continues	continue	VERB
ajst-28811	204	6	to	to	PART
ajst-28811	204	7	optimize	optimize	VERB
ajst-28811	204	8	through	through	ADP
ajst-28811	204	9	iterations	iteration	NOUN
ajst-28811	204	10	,	,	PUNCT
ajst-28811	204	11	the	the	DET
ajst-28811	204	12	mse	mse	NOUN
ajst-28811	204	13	value	value	NOUN
ajst-28811	204	14	gradually	gradually	ADV
ajst-28811	204	15	decreases	decrease	VERB
ajst-28811	204	16	.	.	PUNCT
ajst-28811	205	1	after	after	ADP
ajst-28811	205	2	approximately	approximately	ADV
ajst-28811	205	3	40	40	NUM
ajst-28811	205	4	iterations	iteration	NOUN
ajst-28811	205	5	,	,	PUNCT
ajst-28811	205	6	the	the	DET
ajst-28811	205	7	mse	mse	NOUN
ajst-28811	205	8	value	value	NOUN
ajst-28811	205	9	stabilizes	stabilize	VERB
ajst-28811	205	10	around	around	ADP
ajst-28811	205	11	0.05	0.05	NUM
ajst-28811	205	12	.	.	PUNCT
ajst-28811	206	1	when	when	SCONJ
ajst-28811	206	2	the	the	DET
ajst-28811	206	3	mse	mse	NOUN
ajst-28811	206	4	value	value	NOUN
ajst-28811	206	5	reaches	reach	VERB
ajst-28811	206	6	its	its	PRON
ajst-28811	206	7	minimum	minimum	NOUN
ajst-28811	206	8	,	,	PUNCT
ajst-28811	206	9	the	the	DET
ajst-28811	206	10	optimal	optimal	ADJ
ajst-28811	206	11	values	value	NOUN
ajst-28811	206	12	for	for	ADP
ajst-28811	206	13	n_estimators	n_estimator	NOUN
ajst-28811	206	14	,	,	PUNCT
ajst-28811	206	15	max_depth	max_depth	NOUN
ajst-28811	206	16	,	,	PUNCT
ajst-28811	206	17	learning_rate	learning_rate	PROPN
ajst-28811	206	18	,	,	PUNCT
ajst-28811	206	19	and	and	CCONJ
ajst-28811	206	20	subsample	subsample	NOUN
ajst-28811	206	21	are	be	AUX
ajst-28811	206	22	obtained	obtain	VERB
ajst-28811	206	23	,	,	PUNCT
ajst-28811	206	24	with	with	ADP
ajst-28811	206	25	the	the	DET
ajst-28811	206	26	optimal	optimal	ADJ
ajst-28811	206	27	results	result	NOUN
ajst-28811	206	28	being	be	AUX
ajst-28811	206	29	230	230	NUM
ajst-28811	206	30	,	,	PUNCT
ajst-28811	206	31	13	13	NUM
ajst-28811	206	32	,	,	PUNCT
ajst-28811	206	33	0.215	0.215	NUM
ajst-28811	206	34	,	,	PUNCT
ajst-28811	206	35	and	and	CCONJ
ajst-28811	206	36	0.8	0.8	NUM
ajst-28811	206	37	,	,	PUNCT
ajst-28811	206	38	respectively	respectively	ADV
ajst-28811	206	39	,	,	PUNCT
ajst-28811	206	40	see	see	VERB
ajst-28811	206	41	figure	figure	NOUN
ajst-28811	206	42	4	4	NUM
ajst-28811	206	43	.	.	PUNCT
ajst-28811	206	44	figure	figure	VERB
ajst-28811	206	45	3	3	NUM
ajst-28811	206	46	.	.	PUNCT
ajst-28811	206	47	xgboost	xgboost	PROPN
ajst-28811	207	1	model	model	PROPN
ajst-28811	207	2	optimization	optimization	NOUN
ajst-28811	207	3	iteration	iteration	NOUN
ajst-28811	207	4	process	process	NOUN
ajst-28811	207	5	graph	graph	NOUN
ajst-28811	207	6	237	237	NUM
ajst-28811	207	7	figure	figure	NOUN
ajst-28811	207	8	4	4	NUM
ajst-28811	207	9	.	.	PUNCT
ajst-28811	207	10	model	model	PROPN
ajst-28811	207	11	hyperparameter	hyperparameter	PROPN
ajst-28811	207	12	optimization	optimization	NOUN
ajst-28811	207	13	process	process	NOUN
ajst-28811	207	14	graph	graph	NOUN
ajst-28811	207	15	after	after	ADP
ajst-28811	207	16	optimizing	optimize	VERB
ajst-28811	207	17	the	the	DET
ajst-28811	207	18	hyperparameters	hyperparameter	NOUN
ajst-28811	207	19	of	of	ADP
ajst-28811	207	20	the	the	DET
ajst-28811	207	21	xgboost	xgboost	PROPN
ajst-28811	207	22	model	model	NOUN
ajst-28811	207	23	using	use	VERB
ajst-28811	207	24	the	the	DET
ajst-28811	207	25	ssa	ssa	NOUN
ajst-28811	207	26	algorithm	algorithm	NOUN
ajst-28811	207	27	,	,	PUNCT
ajst-28811	207	28	the	the	DET
ajst-28811	207	29	ssa	ssa	NOUN
ajst-28811	207	30	-	-	PUNCT
ajst-28811	207	31	xgboost	xgboost	PROPN
ajst-28811	207	32	shale	shale	NOUN
ajst-28811	207	33	gas	gas	NOUN
ajst-28811	207	34	production	production	NOUN
ajst-28811	207	35	prediction	prediction	NOUN
ajst-28811	207	36	model	model	NOUN
ajst-28811	207	37	is	be	AUX
ajst-28811	207	38	successfully	successfully	ADV
ajst-28811	207	39	obtained	obtain	VERB
ajst-28811	207	40	.	.	PUNCT
ajst-28811	208	1	3.4	3.4	NUM
ajst-28811	208	2	.	.	PUNCT
ajst-28811	208	3	prediction	prediction	NOUN
ajst-28811	208	4	results	result	VERB
ajst-28811	208	5	analysis	analysis	NOUN
ajst-28811	208	6	after	after	SCONJ
ajst-28811	208	7	the	the	DET
ajst-28811	208	8	model	model	NOUN
ajst-28811	208	9	was	be	AUX
ajst-28811	208	10	established	establish	VERB
ajst-28811	208	11	,	,	PUNCT
ajst-28811	208	12	to	to	PART
ajst-28811	208	13	validate	validate	VERB
ajst-28811	208	14	the	the	DET
ajst-28811	208	15	performance	performance	NOUN
ajst-28811	208	16	of	of	ADP
ajst-28811	208	17	the	the	DET
ajst-28811	208	18	ssa	ssa	NOUN
ajst-28811	208	19	-	-	PUNCT
ajst-28811	208	20	xgboost	xgboost	PROPN
ajst-28811	208	21	shale	shale	NOUN
ajst-28811	208	22	gas	gas	NOUN
ajst-28811	208	23	production	production	NOUN
ajst-28811	208	24	prediction	prediction	NOUN
ajst-28811	208	25	model	model	NOUN
ajst-28811	208	26	,	,	PUNCT
ajst-28811	208	27	five	five	NUM
ajst-28811	208	28	prediction	prediction	NOUN
ajst-28811	208	29	models	model	NOUN
ajst-28811	208	30	,	,	PUNCT
ajst-28811	208	31	including	include	VERB
ajst-28811	208	32	ssaxgboost	ssaxgboost	NOUN
ajst-28811	208	33	,	,	PUNCT
ajst-28811	208	34	xgboost	xgboost	PROPN
ajst-28811	208	35	(	(	PUNCT
ajst-28811	208	36	default	default	NOUN
ajst-28811	208	37	parameters	parameter	NOUN
ajst-28811	208	38	)	)	PUNCT
ajst-28811	208	39	,	,	PUNCT
ajst-28811	208	40	gradient	gradient	NOUN
ajst-28811	208	41	boosting	boost	VERB
ajst-28811	208	42	decision	decision	NOUN
ajst-28811	208	43	tree	tree	NOUN
ajst-28811	208	44	(	(	PUNCT
ajst-28811	208	45	gbdt	gbdt	PROPN
ajst-28811	208	46	)	)	PUNCT
ajst-28811	208	47	,	,	PUNCT
ajst-28811	208	48	support	support	NOUN
ajst-28811	208	49	vector	vector	NOUN
ajst-28811	208	50	machine	machine	NOUN
ajst-28811	208	51	regression	regression	NOUN
ajst-28811	208	52	(	(	PUNCT
ajst-28811	208	53	svr	svr	PROPN
ajst-28811	208	54	)	)	PUNCT
ajst-28811	208	55	,	,	PUNCT
ajst-28811	208	56	and	and	CCONJ
ajst-28811	208	57	random	random	ADJ
ajst-28811	208	58	forest	forest	NOUN
ajst-28811	208	59	(	(	PUNCT
ajst-28811	208	60	rf	rf	NOUN
ajst-28811	208	61	)	)	PUNCT
ajst-28811	208	62	,	,	PUNCT
ajst-28811	208	63	were	be	AUX
ajst-28811	208	64	used	use	VERB
ajst-28811	208	65	to	to	PART
ajst-28811	208	66	predict	predict	VERB
ajst-28811	208	67	the	the	DET
ajst-28811	208	68	same	same	ADJ
ajst-28811	208	69	daily	daily	ADJ
ajst-28811	208	70	gas	gas	NOUN
ajst-28811	208	71	production	production	NOUN
ajst-28811	208	72	data	datum	NOUN
ajst-28811	208	73	and	and	CCONJ
ajst-28811	208	74	analyze	analyze	VERB
ajst-28811	208	75	their	their	PRON
ajst-28811	208	76	predictive	predictive	ADJ
ajst-28811	208	77	capabilities	capability	NOUN
ajst-28811	208	78	.	.	PUNCT
ajst-28811	209	1	the	the	DET
ajst-28811	209	2	xgboost	xgboost	PROPN
ajst-28811	209	3	model	model	PROPN
ajst-28811	209	4	,	,	PUNCT
ajst-28811	209	5	even	even	ADV
ajst-28811	209	6	without	without	ADP
ajst-28811	209	7	optimization	optimization	NOUN
ajst-28811	209	8	,	,	PUNCT
ajst-28811	209	9	already	already	ADV
ajst-28811	209	10	demonstrated	demonstrate	VERB
ajst-28811	209	11	strong	strong	ADJ
ajst-28811	209	12	predictive	predictive	ADJ
ajst-28811	209	13	ability	ability	NOUN
ajst-28811	209	14	,	,	PUNCT
ajst-28811	209	15	outperforming	outperform	VERB
ajst-28811	209	16	the	the	DET
ajst-28811	209	17	other	other	ADJ
ajst-28811	209	18	three	three	NUM
ajst-28811	209	19	models	model	NOUN
ajst-28811	209	20	.	.	PUNCT
ajst-28811	210	1	after	after	ADP
ajst-28811	210	2	optimization	optimization	NOUN
ajst-28811	210	3	using	use	VERB
ajst-28811	210	4	ssa	ssa	NOUN
ajst-28811	210	5	,	,	PUNCT
ajst-28811	210	6	the	the	DET
ajst-28811	210	7	ssa	ssa	NOUN
ajst-28811	210	8	-	-	PUNCT
ajst-28811	210	9	xgboost	xgboost	PROPN
ajst-28811	210	10	model	model	NOUN
ajst-28811	210	11	exhibited	exhibit	VERB
ajst-28811	210	12	a	a	DET
ajst-28811	210	13	significant	significant	ADJ
ajst-28811	210	14	improvement	improvement	NOUN
ajst-28811	210	15	in	in	ADP
ajst-28811	210	16	prediction	prediction	NOUN
ajst-28811	210	17	accuracy	accuracy	NOUN
ajst-28811	210	18	,	,	PUNCT
ajst-28811	210	19	achieving	achieve	VERB
ajst-28811	210	20	the	the	DET
ajst-28811	210	21	best	good	ADJ
ajst-28811	210	22	performance	performance	NOUN
ajst-28811	210	23	.	.	PUNCT
ajst-28811	211	1	specifically	specifically	ADV
ajst-28811	211	2	,	,	PUNCT
ajst-28811	211	3	the	the	DET
ajst-28811	211	4	mean	mean	NOUN
ajst-28811	211	5	squared	square	VERB
ajst-28811	211	6	error	error	NOUN
ajst-28811	211	7	(	(	PUNCT
ajst-28811	211	8	mse	mse	NOUN
ajst-28811	211	9	)	)	PUNCT
ajst-28811	211	10	and	and	CCONJ
ajst-28811	211	11	mean	mean	VERB
ajst-28811	211	12	relative	relative	ADJ
ajst-28811	211	13	error	error	NOUN
ajst-28811	211	14	(	(	PUNCT
ajst-28811	211	15	mre	mre	NOUN
ajst-28811	211	16	)	)	PUNCT
ajst-28811	211	17	decreased	decrease	VERB
ajst-28811	211	18	by	by	ADP
ajst-28811	211	19	66	66	NUM
ajst-28811	211	20	%	%	NOUN
ajst-28811	211	21	and	and	CCONJ
ajst-28811	211	22	63	63	NUM
ajst-28811	211	23	%	%	NOUN
ajst-28811	211	24	,	,	PUNCT
ajst-28811	211	25	respectively	respectively	ADV
ajst-28811	211	26	,	,	PUNCT
ajst-28811	211	27	while	while	SCONJ
ajst-28811	211	28	the	the	DET
ajst-28811	211	29	coefficient	coefficient	NOUN
ajst-28811	211	30	of	of	ADP
ajst-28811	211	31	determination	determination	NOUN
ajst-28811	211	32	(	(	PUNCT
ajst-28811	211	33	r²	r²	PROPN
ajst-28811	211	34	)	)	PUNCT
ajst-28811	211	35	increased	increase	VERB
ajst-28811	211	36	by	by	ADP
ajst-28811	211	37	5.6	5.6	NUM
ajst-28811	211	38	%	%	NOUN
ajst-28811	211	39	.	.	PUNCT
ajst-28811	212	1	this	this	DET
ajst-28811	212	2	enhancement	enhancement	NOUN
ajst-28811	212	3	provides	provide	VERB
ajst-28811	212	4	more	more	ADV
ajst-28811	212	5	reliable	reliable	ADJ
ajst-28811	212	6	predictive	predictive	ADJ
ajst-28811	212	7	support	support	NOUN
ajst-28811	212	8	for	for	ADP
ajst-28811	212	9	the	the	DET
ajst-28811	212	10	optimization	optimization	NOUN
ajst-28811	212	11	of	of	ADP
ajst-28811	212	12	fracturing	fracture	VERB
ajst-28811	212	13	operation	operation	NOUN
ajst-28811	212	14	schemes	scheme	NOUN
ajst-28811	212	15	,	,	PUNCT
ajst-28811	212	16	see	see	VERB
ajst-28811	212	17	figure	figure	NOUN
ajst-28811	212	18	5	5	NUM
ajst-28811	212	19	/	/	SYM
ajst-28811	212	20	table	table	NOUN
ajst-28811	212	21	1	1	NUM
ajst-28811	212	22	.	.	PUNCT
ajst-28811	213	1	(	(	PUNCT
ajst-28811	213	2	a	a	X
ajst-28811	213	3	)	)	PUNCT
ajst-28811	213	4	(	(	PUNCT
ajst-28811	213	5	b	b	X
ajst-28811	213	6	)	)	PUNCT
ajst-28811	213	7	(	(	PUNCT
ajst-28811	213	8	c	c	X
ajst-28811	213	9	)	)	PUNCT
ajst-28811	213	10	(	(	PUNCT
ajst-28811	213	11	d	d	X
ajst-28811	213	12	)	)	PUNCT
ajst-28811	213	13	(	(	PUNCT
ajst-28811	213	14	e	e	NOUN
ajst-28811	213	15	)	)	PUNCT
ajst-28811	213	16	figure	figure	NOUN
ajst-28811	213	17	5	5	NUM
ajst-28811	213	18	.	.	PUNCT
ajst-28811	213	19	model	model	NOUN
ajst-28811	213	20	test	test	NOUN
ajst-28811	213	21	set	set	VERB
ajst-28811	213	22	prediction	prediction	NOUN
ajst-28811	213	23	results	result	NOUN
ajst-28811	213	24	(	(	PUNCT
ajst-28811	213	25	a)ssa	a)ssa	PROPN
ajst-28811	213	26	-	-	PUNCT
ajst-28811	213	27	xgboost(b)xgboost(c)rf(d)gbdt(e)svr	xgboost(b)xgboost(c)rf(d)gbdt(e)svr	NOUN
ajst-28811	213	28	238	238	NUM
ajst-28811	213	29	table	table	NOUN
ajst-28811	213	30	1	1	NUM
ajst-28811	213	31	.	.	PUNCT
ajst-28811	213	32	model	model	NOUN
ajst-28811	213	33	prediction	prediction	NOUN
ajst-28811	213	34	performance	performance	NOUN
ajst-28811	213	35	numble	numble	ADJ
ajst-28811	213	36	ssa	ssa	NOUN
ajst-28811	213	37	-	-	PUNCT
ajst-28811	213	38	xgboost	xgboost	PROPN
ajst-28811	213	39	xgboost	xgboost	X
ajst-28811	214	1	rf	rf	ADJ
ajst-28811	214	2	gbdt	gbdt	PROPN
ajst-28811	214	3	svr	svr	PROPN
ajst-28811	214	4	mse	mse	PROPN
ajst-28811	214	5	0.050	0.050	NUM
ajst-28811	214	6	0.149	0.149	NUM
ajst-28811	214	7	0.174	0.174	NUM
ajst-28811	214	8	0.231	0.231	NUM
ajst-28811	214	9	0.277	0.277	NUM
ajst-28811	214	10	mre	mre	PROPN
ajst-28811	214	11	0.095	0.095	NUM
ajst-28811	214	12	0.260	0.260	NUM
ajst-28811	214	13	2.237	2.237	NUM
ajst-28811	214	14	1.133	1.133	NUM
ajst-28811	214	15	0.921	0.921	NUM
ajst-28811	214	16	r2	r2	NOUN
ajst-28811	214	17	0.954	0.954	NUM
ajst-28811	214	18	0.904	0.904	NUM
ajst-28811	214	19	0.884	0.884	NUM
ajst-28811	214	20	0.852	0.852	NUM
ajst-28811	214	21	0.837	0.837	NUM
ajst-28811	214	22	to	to	PART
ajst-28811	214	23	further	far	ADV
ajst-28811	214	24	validate	validate	VERB
ajst-28811	214	25	the	the	DET
ajst-28811	214	26	optimization	optimization	NOUN
ajst-28811	214	27	capability	capability	NOUN
ajst-28811	214	28	of	of	ADP
ajst-28811	214	29	the	the	DET
ajst-28811	214	30	sparrow	sparrow	ADJ
ajst-28811	214	31	search	search	NOUN
ajst-28811	214	32	algorithm	algorithm	NOUN
ajst-28811	214	33	(	(	PUNCT
ajst-28811	214	34	ssa	ssa	NOUN
ajst-28811	214	35	)	)	PUNCT
ajst-28811	214	36	in	in	ADP
ajst-28811	214	37	improving	improve	VERB
ajst-28811	214	38	the	the	DET
ajst-28811	214	39	prediction	prediction	NOUN
ajst-28811	214	40	accuracy	accuracy	NOUN
ajst-28811	214	41	of	of	ADP
ajst-28811	214	42	the	the	DET
ajst-28811	214	43	model	model	NOUN
ajst-28811	214	44	,	,	PUNCT
ajst-28811	214	45	three	three	NUM
ajst-28811	214	46	widely	widely	ADV
ajst-28811	214	47	used	use	VERB
ajst-28811	214	48	optimization	optimization	NOUN
ajst-28811	214	49	algorithms	algorithm	NOUN
ajst-28811	214	50	—	—	PUNCT
ajst-28811	214	51	genetic	genetic	ADJ
ajst-28811	214	52	algorithm	algorithm	NOUN
ajst-28811	214	53	(	(	PUNCT
ajst-28811	214	54	ga	ga	PROPN
ajst-28811	214	55	)	)	PUNCT
ajst-28811	214	56	,	,	PUNCT
ajst-28811	214	57	particle	particle	NOUN
ajst-28811	214	58	swarm	swarm	NOUN
ajst-28811	214	59	optimization	optimization	NOUN
ajst-28811	214	60	(	(	PUNCT
ajst-28811	214	61	pso	pso	NOUN
ajst-28811	214	62	)	)	PUNCT
ajst-28811	214	63	,	,	PUNCT
ajst-28811	214	64	and	and	CCONJ
ajst-28811	214	65	ant	ant	ADJ
ajst-28811	214	66	colony	colony	NOUN
ajst-28811	214	67	optimization	optimization	NOUN
ajst-28811	214	68	(	(	PUNCT
ajst-28811	214	69	aco	aco	PROPN
ajst-28811	214	70	)	)	PUNCT
ajst-28811	214	71	—	—	PUNCT
ajst-28811	214	72	were	be	AUX
ajst-28811	214	73	selected	select	VERB
ajst-28811	214	74	as	as	ADP
ajst-28811	214	75	benchmarks	benchmark	NOUN
ajst-28811	214	76	.	.	PUNCT
ajst-28811	215	1	these	these	DET
ajst-28811	215	2	algorithms	algorithm	NOUN
ajst-28811	215	3	were	be	AUX
ajst-28811	215	4	applied	apply	VERB
ajst-28811	215	5	for	for	ADP
ajst-28811	215	6	hyperparameter	hyperparameter	NOUN
ajst-28811	215	7	optimization	optimization	NOUN
ajst-28811	215	8	of	of	ADP
ajst-28811	215	9	the	the	DET
ajst-28811	215	10	xgboost	xgboost	PROPN
ajst-28811	215	11	model	model	NOUN
ajst-28811	215	12	to	to	PART
ajst-28811	215	13	perform	perform	VERB
ajst-28811	215	14	performance	performance	NOUN
ajst-28811	215	15	optimization	optimization	NOUN
ajst-28811	215	16	tests	test	NOUN
ajst-28811	215	17	.	.	PUNCT
ajst-28811	216	1	the	the	DET
ajst-28811	216	2	experimental	experimental	ADJ
ajst-28811	216	3	results	result	NOUN
ajst-28811	216	4	show	show	VERB
ajst-28811	216	5	that	that	SCONJ
ajst-28811	216	6	ssa	ssa	NOUN
ajst-28811	216	7	-	-	PUNCT
ajst-28811	216	8	xgboost	xgboost	NOUN
ajst-28811	216	9	outperforms	outperform	VERB
ajst-28811	216	10	the	the	DET
ajst-28811	216	11	other	other	ADJ
ajst-28811	216	12	three	three	NUM
ajst-28811	216	13	optimization	optimization	NOUN
ajst-28811	216	14	models	model	NOUN
ajst-28811	216	15	in	in	ADP
ajst-28811	216	16	all	all	DET
ajst-28811	216	17	three	three	NUM
ajst-28811	216	18	evaluation	evaluation	NOUN
ajst-28811	216	19	metrics	metric	NOUN
ajst-28811	216	20	,	,	PUNCT
ajst-28811	216	21	demonstrating	demonstrate	VERB
ajst-28811	216	22	the	the	DET
ajst-28811	216	23	strong	strong	ADJ
ajst-28811	216	24	optimization	optimization	NOUN
ajst-28811	216	25	capability	capability	NOUN
ajst-28811	216	26	of	of	ADP
ajst-28811	216	27	ssa	ssa	NOUN
ajst-28811	216	28	.	.	PUNCT
ajst-28811	217	1	it	it	PRON
ajst-28811	217	2	also	also	ADV
ajst-28811	217	3	exhibits	exhibit	VERB
ajst-28811	217	4	superior	superior	ADJ
ajst-28811	217	5	performance	performance	NOUN
ajst-28811	217	6	in	in	ADP
ajst-28811	217	7	improving	improve	VERB
ajst-28811	217	8	prediction	prediction	NOUN
ajst-28811	217	9	accuracy	accuracy	NOUN
ajst-28811	217	10	,	,	PUNCT
ajst-28811	217	11	significantly	significantly	ADV
ajst-28811	217	12	enhancing	enhance	VERB
ajst-28811	217	13	the	the	DET
ajst-28811	217	14	model	model	NOUN
ajst-28811	217	15	’s	’s	PART
ajst-28811	217	16	predictive	predictive	ADJ
ajst-28811	217	17	precision	precision	NOUN
ajst-28811	217	18	and	and	CCONJ
ajst-28811	217	19	proving	prove	VERB
ajst-28811	217	20	its	its	PRON
ajst-28811	217	21	strong	strong	ADJ
ajst-28811	217	22	practical	practical	ADJ
ajst-28811	217	23	value	value	NOUN
ajst-28811	217	24	,	,	PUNCT
ajst-28811	217	25	see	see	VERB
ajst-28811	217	26	figure	figure	NOUN
ajst-28811	217	27	6	6	NUM
ajst-28811	217	28	.	.	PUNCT
ajst-28811	217	29	figure	figure	VERB
ajst-28811	217	30	6	6	NUM
ajst-28811	217	31	.	.	PUNCT
ajst-28811	217	32	comparison	comparison	NOUN
ajst-28811	217	33	of	of	ADP
ajst-28811	217	34	optimization	optimization	NOUN
ajst-28811	217	35	algorithm	algorithm	NOUN
ajst-28811	217	36	performance	performance	NOUN
ajst-28811	217	37	3.5	3.5	NUM
ajst-28811	217	38	.	.	PUNCT
ajst-28811	218	1	optimization	optimization	NOUN
ajst-28811	218	2	of	of	ADP
ajst-28811	218	3	fracturing	fracture	VERB
ajst-28811	218	4	construction	construction	NOUN
ajst-28811	218	5	parameters	parameter	NOUN
ajst-28811	218	6	analysis	analysis	NOUN
ajst-28811	218	7	using	use	VERB
ajst-28811	218	8	the	the	DET
ajst-28811	218	9	trained	train	VERB
ajst-28811	218	10	ssa	ssa	NOUN
ajst-28811	218	11	-	-	PUNCT
ajst-28811	218	12	xgboost	xgboost	PROPN
ajst-28811	218	13	shale	shale	NOUN
ajst-28811	218	14	gas	gas	NOUN
ajst-28811	218	15	production	production	NOUN
ajst-28811	218	16	prediction	prediction	NOUN
ajst-28811	218	17	model	model	NOUN
ajst-28811	218	18	,	,	PUNCT
ajst-28811	218	19	the	the	DET
ajst-28811	218	20	daily	daily	ADJ
ajst-28811	218	21	gas	gas	NOUN
ajst-28811	218	22	production	production	NOUN
ajst-28811	218	23	for	for	ADP
ajst-28811	218	24	different	different	ADJ
ajst-28811	218	25	fracturing	fracturing	NOUN
ajst-28811	218	26	construction	construction	NOUN
ajst-28811	218	27	plans	plan	NOUN
ajst-28811	218	28	was	be	AUX
ajst-28811	218	29	predicted	predict	VERB
ajst-28811	218	30	.	.	PUNCT
ajst-28811	219	1	these	these	DET
ajst-28811	219	2	predictions	prediction	NOUN
ajst-28811	219	3	were	be	AUX
ajst-28811	219	4	compared	compare	VERB
ajst-28811	219	5	to	to	ADP
ajst-28811	219	6	the	the	DET
ajst-28811	219	7	predicted	predict	VERB
ajst-28811	219	8	production	production	NOUN
ajst-28811	219	9	from	from	ADP
ajst-28811	219	10	other	other	ADJ
ajst-28811	219	11	plans	plan	NOUN
ajst-28811	219	12	,	,	PUNCT
ajst-28811	219	13	with	with	ADP
ajst-28811	219	14	the	the	DET
ajst-28811	219	15	top	top	ADV
ajst-28811	219	16	-	-	PUNCT
ajst-28811	219	17	performing	perform	VERB
ajst-28811	219	18	plans	plan	NOUN
ajst-28811	219	19	identified	identify	VERB
ajst-28811	219	20	as	as	ADP
ajst-28811	219	21	the	the	DET
ajst-28811	219	22	optimal	optimal	ADJ
ajst-28811	219	23	ones	one	NOUN
ajst-28811	219	24	.	.	PUNCT
ajst-28811	220	1	with	with	ADP
ajst-28811	220	2	the	the	DET
ajst-28811	220	3	recent	recent	ADJ
ajst-28811	220	4	advancements	advancement	NOUN
ajst-28811	220	5	in	in	ADP
ajst-28811	220	6	fracturing	fracture	VERB
ajst-28811	220	7	technology	technology	NOUN
ajst-28811	220	8	,	,	PUNCT
ajst-28811	220	9	current	current	ADJ
ajst-28811	220	10	construction	construction	NOUN
ajst-28811	220	11	plans	plan	NOUN
ajst-28811	220	12	have	have	AUX
ajst-28811	220	13	undergone	undergo	VERB
ajst-28811	220	14	significant	significant	ADJ
ajst-28811	220	15	changes	change	NOUN
ajst-28811	220	16	compared	compare	VERB
ajst-28811	220	17	to	to	ADP
ajst-28811	220	18	previous	previous	ADJ
ajst-28811	220	19	ones	one	NOUN
ajst-28811	220	20	.	.	PUNCT
ajst-28811	221	1	therefore	therefore	ADV
ajst-28811	221	2	,	,	PUNCT
ajst-28811	221	3	based	base	VERB
ajst-28811	221	4	on	on	ADP
ajst-28811	221	5	the	the	DET
ajst-28811	221	6	fracturing	fracture	VERB
ajst-28811	221	7	operations	operation	NOUN
ajst-28811	221	8	in	in	ADP
ajst-28811	221	9	the	the	DET
ajst-28811	221	10	shallow	shallow	ADJ
ajst-28811	221	11	shale	shale	NOUN
ajst-28811	221	12	gas	gas	NOUN
ajst-28811	221	13	wells	well	NOUN
ajst-28811	221	14	of	of	ADP
ajst-28811	221	15	the	the	DET
ajst-28811	221	16	y	y	PROPN
ajst-28811	221	17	block	block	NOUN
ajst-28811	221	18	from	from	ADP
ajst-28811	221	19	2018	2018	NUM
ajst-28811	221	20	to	to	ADP
ajst-28811	221	21	2022	2022	NUM
ajst-28811	221	22	,	,	PUNCT
ajst-28811	221	23	and	and	CCONJ
ajst-28811	221	24	considering	consider	VERB
ajst-28811	221	25	the	the	DET
ajst-28811	221	26	results	result	NOUN
ajst-28811	221	27	across	across	ADP
ajst-28811	221	28	different	different	ADJ
ajst-28811	221	29	plans	plan	NOUN
ajst-28811	221	30	,	,	PUNCT
ajst-28811	221	31	200	200	NUM
ajst-28811	221	32	construction	construction	NOUN
ajst-28811	221	33	plans	plan	NOUN
ajst-28811	221	34	were	be	AUX
ajst-28811	221	35	designed	design	VERB
ajst-28811	221	36	.	.	PUNCT
ajst-28811	222	1	geological	geological	ADJ
ajst-28811	222	2	parameters	parameter	NOUN
ajst-28811	222	3	(	(	PUNCT
ajst-28811	222	4	toc	toc	PROPN
ajst-28811	222	5	,	,	PUNCT
ajst-28811	222	6	gas	gas	NOUN
ajst-28811	222	7	content	content	NOUN
ajst-28811	222	8	)	)	PUNCT
ajst-28811	222	9	and	and	CCONJ
ajst-28811	222	10	the	the	DET
ajst-28811	222	11	average	average	ADJ
ajst-28811	222	12	horizontal	horizontal	ADJ
ajst-28811	222	13	well	well	INTJ
ajst-28811	222	14	length	length	NOUN
ajst-28811	222	15	and	and	CCONJ
ajst-28811	222	16	number	number	NOUN
ajst-28811	222	17	of	of	ADP
ajst-28811	222	18	stages	stage	NOUN
ajst-28811	222	19	for	for	ADP
ajst-28811	222	20	the	the	DET
ajst-28811	222	21	wells	well	NOUN
ajst-28811	222	22	in	in	ADP
ajst-28811	222	23	the	the	DET
ajst-28811	222	24	block	block	NOUN
ajst-28811	222	25	were	be	AUX
ajst-28811	222	26	used	use	VERB
ajst-28811	222	27	as	as	ADP
ajst-28811	222	28	input	input	NOUN
ajst-28811	222	29	variables	variable	NOUN
ajst-28811	222	30	.	.	PUNCT
ajst-28811	223	1	the	the	DET
ajst-28811	223	2	optimal	optimal	ADJ
ajst-28811	223	3	fracturing	fracturing	NOUN
ajst-28811	223	4	construction	construction	NOUN
ajst-28811	223	5	plans	plan	NOUN
ajst-28811	223	6	were	be	AUX
ajst-28811	223	7	identified	identify	VERB
ajst-28811	223	8	by	by	ADP
ajst-28811	223	9	selecting	select	VERB
ajst-28811	223	10	the	the	DET
ajst-28811	223	11	top	top	ADJ
ajst-28811	223	12	ten	ten	NUM
ajst-28811	223	13	plans	plan	NOUN
ajst-28811	223	14	with	with	ADP
ajst-28811	223	15	the	the	DET
ajst-28811	223	16	highest	high	ADJ
ajst-28811	223	17	predicted	predict	VERB
ajst-28811	223	18	gas	gas	NOUN
ajst-28811	223	19	production	production	NOUN
ajst-28811	223	20	,	,	PUNCT
ajst-28811	223	21	see	see	VERB
ajst-28811	223	22	table	table	NOUN
ajst-28811	223	23	2	2	NUM
ajst-28811	223	24	.	.	PUNCT
ajst-28811	224	1	the	the	DET
ajst-28811	224	2	following	follow	VERB
ajst-28811	224	3	abbreviations	abbreviation	NOUN
ajst-28811	224	4	are	be	AUX
ajst-28811	224	5	used	use	VERB
ajst-28811	224	6	to	to	PART
ajst-28811	224	7	represent	represent	VERB
ajst-28811	224	8	key	key	ADJ
ajst-28811	224	9	parameters	parameter	NOUN
ajst-28811	224	10	in	in	ADP
ajst-28811	224	11	the	the	DET
ajst-28811	224	12	shale	shale	NOUN
ajst-28811	224	13	gas	gas	NOUN
ajst-28811	224	14	fracturing	fracturing	NOUN
ajst-28811	224	15	operation	operation	NOUN
ajst-28811	224	16	:	:	PUNCT
ajst-28811	224	17	1)toc	1)toc	NUM
ajst-28811	224	18	:	:	PUNCT
ajst-28811	224	19	total	total	ADJ
ajst-28811	224	20	organic	organic	ADJ
ajst-28811	224	21	carbon	carbon	NOUN
ajst-28811	224	22	2)gc	2)gc	NOUN
ajst-28811	224	23	:	:	PUNCT
ajst-28811	224	24	gas	gas	NOUN
ajst-28811	224	25	content	content	NOUN
ajst-28811	224	26	3)hsl	3)hsl	NUM
ajst-28811	224	27	:	:	PUNCT
ajst-28811	224	28	horizontal	horizontal	ADJ
ajst-28811	224	29	section	section	NOUN
ajst-28811	224	30	length	length	NOUN
ajst-28811	224	31	4)ns	4)ns	NOUN
ajst-28811	224	32	:	:	PUNCT
ajst-28811	224	33	number	number	NOUN
ajst-28811	224	34	of	of	ADP
ajst-28811	224	35	stages	stage	NOUN
ajst-28811	224	36	5)tff	5)tff	NUM
ajst-28811	224	37	:	:	PUNCT
ajst-28811	224	38	total	total	ADJ
ajst-28811	224	39	fracturing	fracturing	NOUN
ajst-28811	224	40	fluid	fluid	NOUN
ajst-28811	224	41	6)ts	6)ts	NOUN
ajst-28811	224	42	:	:	PUNCT
ajst-28811	224	43	total	total	ADJ
ajst-28811	224	44	sand	sand	NOUN
ajst-28811	225	1	7)40/70	7)40/70	NUM
ajst-28811	225	2	pr	pr	NOUN
ajst-28811	225	3	:	:	PUNCT
ajst-28811	225	4	40/70	40/70	NUM
ajst-28811	225	5	proppant	proppant	NOUN
ajst-28811	225	6	ratio	ratio	NOUN
ajst-28811	225	7	8)fi	8)fi	NUM
ajst-28811	225	8	:	:	PUNCT
ajst-28811	225	9	fluid	fluid	ADJ
ajst-28811	225	10	intensity	intensity	NOUN
ajst-28811	225	11	9)sai	9)sai	NUM
ajst-28811	225	12	:	:	PUNCT
ajst-28811	225	13	sand	sand	NOUN
ajst-28811	225	14	addition	addition	NOUN
ajst-28811	225	15	intensity	intensity	NOUN
ajst-28811	225	16	10)pdgp	10)pdgp	PROPN
ajst-28811	225	17	:	:	PUNCT
ajst-28811	225	18	predicted	predict	VERB
ajst-28811	225	19	daily	daily	ADJ
ajst-28811	225	20	gas	gas	NOUN
ajst-28811	225	21	production	production	NOUN
ajst-28811	225	22	table	table	NOUN
ajst-28811	225	23	2	2	NUM
ajst-28811	225	24	.	.	X
ajst-28811	225	25	optimal	optimal	ADJ
ajst-28811	225	26	scheme	scheme	NOUN
ajst-28811	225	27	for	for	ADP
ajst-28811	225	28	fracturing	fracture	VERB
ajst-28811	225	29	construction	construction	NOUN
ajst-28811	225	30	scheme	scheme	NOUN
ajst-28811	225	31	toc	toc	NOUN
ajst-28811	225	32	(	(	PUNCT
ajst-28811	225	33	%	%	INTJ
ajst-28811	225	34	)	)	PUNCT
ajst-28811	225	35	gc	gc	PROPN
ajst-28811	225	36	(	(	PUNCT
ajst-28811	225	37	m³/t	m³/t	NOUN
ajst-28811	225	38	)	)	PUNCT
ajst-28811	225	39	hsl	hsl	NOUN
ajst-28811	225	40	(	(	PUNCT
ajst-28811	225	41	m	m	NOUN
ajst-28811	225	42	)	)	PUNCT
ajst-28811	225	43	ns	ns	NUM
ajst-28811	225	44	tff	tff	PROPN
ajst-28811	225	45	(	(	PUNCT
ajst-28811	225	46	m³	m³	PROPN
ajst-28811	225	47	)	)	PUNCT
ajst-28811	225	48	ts	ts	X
ajst-28811	225	49	(	(	PUNCT
ajst-28811	225	50	t	t	PROPN
ajst-28811	225	51	)	)	PUNCT
ajst-28811	225	52	40/70pr	40/70pr	NUM
ajst-28811	225	53	(	(	PUNCT
ajst-28811	225	54	%	%	NOUN
ajst-28811	225	55	)	)	PUNCT
ajst-28811	226	1	fi	fi	NOUN
ajst-28811	226	2	(	(	PUNCT
ajst-28811	226	3	m³/m	m³/m	ADJ
ajst-28811	226	4	)	)	PUNCT
ajst-28811	226	5	sai	sai	NOUN
ajst-28811	226	6	(	(	PUNCT
ajst-28811	226	7	t	t	PROPN
ajst-28811	226	8	/	/	SYM
ajst-28811	226	9	m	m	NOUN
ajst-28811	226	10	)	)	PUNCT
ajst-28811	226	11	pdgp	pdgp	NOUN
ajst-28811	226	12	(	(	PUNCT
ajst-28811	226	13	m³	m³	VERB
ajst-28811	226	14	)	)	PUNCT
ajst-28811	226	15	1	1	NUM
ajst-28811	226	16	4.133	4.133	NUM
ajst-28811	226	17	3.675	3.675	NUM
ajst-28811	226	18	926	926	NUM
ajst-28811	226	19	13.2	13.2	NUM
ajst-28811	226	20	21741.13	21741.13	NUM
ajst-28811	226	21	2752.29	2752.29	NUM
ajst-28811	226	22	63.99	63.99	NUM
ajst-28811	226	23	31.20	31.20	NUM
ajst-28811	226	24	3.912	3.912	NUM
ajst-28811	226	25	29318.05	29318.05	NUM
ajst-28811	226	26	2	2	NUM
ajst-28811	226	27	21740.96	21740.96	NUM
ajst-28811	226	28	2752.23	2752.23	NUM
ajst-28811	226	29	70.19	70.19	NUM
ajst-28811	226	30	31.41	31.41	NUM
ajst-28811	226	31	3.90	3.90	NUM
ajst-28811	226	32	29317.87	29317.87	NUM
ajst-28811	226	33	3	3	NUM
ajst-28811	226	34	25814.50	25814.50	NUM
ajst-28811	226	35	3307.60	3307.60	NUM
ajst-28811	226	36	49.26	49.26	NUM
ajst-28811	226	37	33.99	33.99	NUM
ajst-28811	226	38	4.12	4.12	NUM
ajst-28811	226	39	29196.83	29196.83	NUM
ajst-28811	226	40	4	4	NUM
ajst-28811	226	41	34079.02	34079.02	NUM
ajst-28811	226	42	4158.16	4158.16	NUM
ajst-28811	226	43	48.07	48.07	NUM
ajst-28811	226	44	30.51	30.51	NUM
ajst-28811	226	45	3.64	3.64	NUM
ajst-28811	226	46	26140.22	26140.22	NUM
ajst-28811	226	47	5	5	NUM
ajst-28811	226	48	34078.72	34078.72	NUM
ajst-28811	226	49	4158.08	4158.08	NUM
ajst-28811	226	50	63.17	63.17	NUM
ajst-28811	226	51	30.49	30.49	NUM
ajst-28811	226	52	3.62	3.62	NUM
ajst-28811	226	53	26139.94	26139.94	NUM
ajst-28811	226	54	6	6	NUM
ajst-28811	226	55	35429.89	35429.89	NUM
ajst-28811	226	56	4121.10	4121.10	NUM
ajst-28811	226	57	62.40	62.40	NUM
ajst-28811	226	58	30.17	30.17	NUM
ajst-28811	226	59	4.10	4.10	NUM
ajst-28811	226	60	23952.61	23952.61	NUM
ajst-28811	226	61	7	7	NUM
ajst-28811	226	62	24250.25	24250.25	NUM
ajst-28811	226	63	3940.20	3940.20	NUM
ajst-28811	226	64	46.06	46.06	NUM
ajst-28811	226	65	24.84	24.84	NUM
ajst-28811	226	66	4.03	4.03	NUM
ajst-28811	226	67	23872.76	23872.76	NUM
ajst-28811	226	68	8	8	NUM
ajst-28811	226	69	24577.51	24577.51	NUM
ajst-28811	226	70	4004.60	4004.60	NUM
ajst-28811	226	71	52.69	52.69	NUM
ajst-28811	226	72	24.79	24.79	NUM
ajst-28811	226	73	4.03	4.03	NUM
ajst-28811	226	74	23156.99	23156.99	NUM
ajst-28811	226	75	9	9	NUM
ajst-28811	226	76	34397.55	34397.55	NUM
ajst-28811	226	77	3957.20	3957.20	NUM
ajst-28811	226	78	61.42	61.42	NUM
ajst-28811	226	79	32.91	32.91	NUM
ajst-28811	226	80	3.79	3.79	NUM
ajst-28811	226	81	22747.04	22747.04	NUM
ajst-28811	226	82	10	10	NUM
ajst-28811	226	83	23872.53	23872.53	NUM
ajst-28811	226	84	3318.72	3318.72	NUM
ajst-28811	226	85	60.42	60.42	NUM
ajst-28811	226	86	28.89	28.89	NUM
ajst-28811	226	87	4.11	4.11	NUM
ajst-28811	226	88	22303.95	22303.95	NUM
ajst-28811	226	89	239	239	NUM
ajst-28811	226	90	table	table	NOUN
ajst-28811	226	91	3	3	NUM
ajst-28811	226	92	.	.	PUNCT
ajst-28811	227	1	construction	construction	NOUN
ajst-28811	227	2	of	of	ADP
ajst-28811	227	3	the	the	DET
ajst-28811	227	4	standard	standard	ADJ
ajst-28811	227	5	well	well	INTJ
ajst-28811	227	6	scheme	scheme	NOUN
ajst-28811	227	7	toc	toc	NOUN
ajst-28811	227	8	(	(	PUNCT
ajst-28811	227	9	%	%	INTJ
ajst-28811	227	10	)	)	PUNCT
ajst-28811	227	11	gc	gc	PROPN
ajst-28811	227	12	(	(	PUNCT
ajst-28811	227	13	m³/t	m³/t	NOUN
ajst-28811	227	14	)	)	PUNCT
ajst-28811	227	15	hsl	hsl	NOUN
ajst-28811	227	16	(	(	PUNCT
ajst-28811	227	17	m	m	NOUN
ajst-28811	227	18	)	)	PUNCT
ajst-28811	227	19	ns	ns	NUM
ajst-28811	227	20	tff	tff	PROPN
ajst-28811	227	21	(	(	PUNCT
ajst-28811	227	22	m³	m³	PROPN
ajst-28811	227	23	)	)	PUNCT
ajst-28811	227	24	ts	ts	X
ajst-28811	227	25	(	(	PUNCT
ajst-28811	227	26	t	t	PROPN
ajst-28811	227	27	)	)	PUNCT
ajst-28811	227	28	40/70pr	40/70pr	NUM
ajst-28811	227	29	(	(	PUNCT
ajst-28811	227	30	%	%	NOUN
ajst-28811	227	31	)	)	PUNCT
ajst-28811	227	32	fi	fi	NOUN
ajst-28811	227	33	(	(	PUNCT
ajst-28811	227	34	m³/m	m³/m	ADJ
ajst-28811	227	35	)	)	PUNCT
ajst-28811	227	36	sai	sai	NOUN
ajst-28811	227	37	(	(	PUNCT
ajst-28811	227	38	t	t	PROPN
ajst-28811	227	39	/	/	SYM
ajst-28811	227	40	m	m	NOUN
ajst-28811	227	41	)	)	PUNCT
ajst-28811	227	42	pdgp	pdgp	NOUN
ajst-28811	227	43	(	(	PUNCT
ajst-28811	227	44	m³	m³	VERB
ajst-28811	227	45	)	)	PUNCT
ajst-28811	227	46	1	1	NUM
ajst-28811	227	47	4.41	4.41	NUM
ajst-28811	227	48	4.01	4.01	NUM
ajst-28811	227	49	1	1	NUM
ajst-28811	227	50	045	045	NUM
ajst-28811	227	51	14	14	NUM
ajst-28811	227	52	26827.77	26827.77	NUM
ajst-28811	227	53	2322.44	2322.44	NUM
ajst-28811	227	54	57.04	57.04	NUM
ajst-28811	227	55	27.06	27.06	NUM
ajst-28811	227	56	2.34	2.34	NUM
ajst-28811	227	57	22747.04	22747.04	NUM
ajst-28811	227	58	2	2	NUM
ajst-28811	227	59	4.76	4.76	NUM
ajst-28811	227	60	3.77	3.77	NUM
ajst-28811	227	61	1003.9	1003.9	NUM
ajst-28811	227	62	14	14	NUM
ajst-28811	227	63	22608.51	22608.51	NUM
ajst-28811	227	64	3140.94	3140.94	NUM
ajst-28811	227	65	56.92	56.92	NUM
ajst-28811	227	66	22.84	22.84	NUM
ajst-28811	227	67	3.17	3.17	NUM
ajst-28811	227	68	27973.14	27973.14	NUM
ajst-28811	227	69	3	3	NUM
ajst-28811	227	70	3.89	3.89	NUM
ajst-28811	227	71	3.77	3.77	NUM
ajst-28811	227	72	991.24	991.24	NUM
ajst-28811	227	73	11	11	NUM
ajst-28811	227	74	34210.40	34210.40	NUM
ajst-28811	227	75	3740.94	3740.94	NUM
ajst-28811	227	76	56.92	56.92	NUM
ajst-28811	227	77	35.05	35.05	NUM
ajst-28811	227	78	3.83	3.83	NUM
ajst-28811	227	79	29156.99	29156.99	NUM
ajst-28811	227	80	4	4	NUM
ajst-28811	227	81	4.76	4.76	NUM
ajst-28811	227	82	4.05	4.05	NUM
ajst-28811	227	83	989.58	989.58	NUM
ajst-28811	227	84	12	12	NUM
ajst-28811	227	85	21741.03	21741.03	NUM
ajst-28811	227	86	4133.94	4133.94	NUM
ajst-28811	227	87	64.71	64.71	NUM
ajst-28811	227	88	22.29	22.29	NUM
ajst-28811	227	89	4.23	4.23	NUM
ajst-28811	227	90	26432.82	26432.82	NUM
ajst-28811	227	91	5	5	NUM
ajst-28811	227	92	4.04	4.04	NUM
ajst-28811	227	93	3.71	3.71	NUM
ajst-28811	227	94	976	976	NUM
ajst-28811	227	95	10	10	NUM
ajst-28811	227	96	24107.20	24107.20	NUM
ajst-28811	227	97	3768.57	3768.57	NUM
ajst-28811	227	98	57.67	57.67	NUM
ajst-28811	227	99	24.78	24.78	NUM
ajst-28811	227	100	3.86	3.86	NUM
ajst-28811	227	101	28872.76	28872.76	NUM
ajst-28811	227	102	6	6	NUM
ajst-28811	227	103	3.81	3.81	NUM
ajst-28811	227	104	3.73	3.73	NUM
ajst-28811	227	105	975	975	NUM
ajst-28811	227	106	12	12	NUM
ajst-28811	227	107	28801.50	28801.50	NUM
ajst-28811	227	108	3753.38	3753.38	NUM
ajst-28811	227	109	58.81	58.81	NUM
ajst-28811	227	110	29.54	29.54	NUM
ajst-28811	227	111	3.73	3.73	NUM
ajst-28811	227	112	32029.82	32029.82	NUM
ajst-28811	227	113	7	7	NUM
ajst-28811	227	114	4.73	4.73	NUM
ajst-28811	227	115	3.98	3.98	NUM
ajst-28811	227	116	963	963	NUM
ajst-28811	227	117	14	14	NUM
ajst-28811	227	118	22121.89	22121.89	NUM
ajst-28811	227	119	4803.14	4803.14	NUM
ajst-28811	227	120	69.91	69.91	NUM
ajst-28811	227	121	23.75	23.75	NUM
ajst-28811	227	122	5.15	5.15	NUM
ajst-28811	227	123	29658.65	29658.65	NUM
ajst-28811	227	124	8	8	NUM
ajst-28811	227	125	4.35	4.35	NUM
ajst-28811	227	126	4.69	4.69	NUM
ajst-28811	227	127	954.9	954.9	NUM
ajst-28811	227	128	13	13	NUM
ajst-28811	227	129	21564.22	21564.22	NUM
ajst-28811	227	130	3301.51	3301.51	NUM
ajst-28811	227	131	49.53	49.53	NUM
ajst-28811	227	132	23.72	23.72	NUM
ajst-28811	227	133	3.63	3.63	NUM
ajst-28811	227	134	22502.07	22502.07	NUM
ajst-28811	227	135	9	9	NUM
ajst-28811	227	136	4.29	4.29	NUM
ajst-28811	227	137	4.57	4.57	NUM
ajst-28811	227	138	931.4	931.4	NUM
ajst-28811	227	139	12	12	NUM
ajst-28811	227	140	33205.06	33205.06	NUM
ajst-28811	227	141	3523.3	3523.3	NUM
ajst-28811	227	142	67.40	67.40	NUM
ajst-28811	227	143	38.36	38.36	NUM
ajst-28811	227	144	5.22	5.22	NUM
ajst-28811	227	145	25318.03	25318.03	NUM
ajst-28811	227	146	10	10	NUM
ajst-28811	227	147	4.41	4.41	NUM
ajst-28811	227	148	4.70	4.70	NUM
ajst-28811	227	149	909.1	909.1	NUM
ajst-28811	227	150	11	11	NUM
ajst-28811	227	151	22615.75	22615.75	NUM
ajst-28811	227	152	2683.29	2683.29	NUM
ajst-28811	227	153	60.26	60.26	NUM
ajst-28811	227	154	24.87	24.87	NUM
ajst-28811	227	155	2.95	2.95	NUM
ajst-28811	227	156	24748.03	24748.03	NUM
ajst-28811	227	157	11	11	NUM
ajst-28811	227	158	4.32	4.32	NUM
ajst-28811	227	159	4.65	4.65	NUM
ajst-28811	227	160	865.49	865.49	NUM
ajst-28811	227	161	12	12	NUM
ajst-28811	227	162	25082.35	25082.35	NUM
ajst-28811	227	163	3291.7	3291.7	NUM
ajst-28811	227	164	64.43	64.43	NUM
ajst-28811	227	165	29.82	29.82	NUM
ajst-28811	227	166	3.91	3.91	NUM
ajst-28811	227	167	26528.62	26528.62	NUM
ajst-28811	227	168	12	12	NUM
ajst-28811	227	169	4.08	4.08	NUM
ajst-28811	227	170	3.32	3.32	NUM
ajst-28811	227	171	862	862	NUM
ajst-28811	227	172	13	13	NUM
ajst-28811	227	173	24946.31	24946.31	NUM
ajst-28811	227	174	3455.64	3455.64	NUM
ajst-28811	227	175	68.87	68.87	NUM
ajst-28811	227	176	23.87	23.87	NUM
ajst-28811	227	177	4.45	4.45	NUM
ajst-28811	227	178	23901.02	23901.02	NUM
ajst-28811	227	179	13	13	NUM
ajst-28811	227	180	4.10	4.10	NUM
ajst-28811	227	181	4.16	4.16	NUM
ajst-28811	227	182	840.9	840.9	NUM
ajst-28811	227	183	10	10	NUM
ajst-28811	227	184	25814.22	25814.22	NUM
ajst-28811	227	185	2486.03	2486.03	NUM
ajst-28811	227	186	47.29	47.29	NUM
ajst-28811	227	187	25.71	25.71	NUM
ajst-28811	227	188	2.47	2.47	NUM
ajst-28811	227	189	21700.16	21700.16	NUM
ajst-28811	227	190	according	accord	VERB
ajst-28811	227	191	to	to	ADP
ajst-28811	227	192	the	the	DET
ajst-28811	227	193	analysis	analysis	NOUN
ajst-28811	227	194	of	of	ADP
ajst-28811	227	195	the	the	DET
ajst-28811	227	196	results	result	NOUN
ajst-28811	227	197	,	,	PUNCT
ajst-28811	227	198	the	the	DET
ajst-28811	227	199	optimal	optimal	ADJ
ajst-28811	227	200	range	range	NOUN
ajst-28811	227	201	for	for	ADP
ajst-28811	227	202	fracturing	fracture	VERB
ajst-28811	227	203	fluid	fluid	NOUN
ajst-28811	227	204	volume	volume	NOUN
ajst-28811	227	205	is	be	AUX
ajst-28811	227	206	21,741.13–35,429.89	21,741.13–35,429.89	NOUN
ajst-28811	227	207	m³	m³	VERB
ajst-28811	227	208	;	;	PUNCT
ajst-28811	227	209	the	the	DET
ajst-28811	227	210	optimal	optimal	ADJ
ajst-28811	227	211	range	range	NOUN
ajst-28811	227	212	for	for	ADP
ajst-28811	227	213	total	total	ADJ
ajst-28811	227	214	sand	sand	NOUN
ajst-28811	227	215	volume	volume	NOUN
ajst-28811	227	216	is	be	AUX
ajst-28811	227	217	2,752.29–4,158.16	2,752.29–4,158.16	NUM
ajst-28811	227	218	t	t	NOUN
ajst-28811	227	219	;	;	PUNCT
ajst-28811	227	220	the	the	DET
ajst-28811	227	221	optimal	optimal	ADJ
ajst-28811	227	222	range	range	NOUN
ajst-28811	227	223	for	for	ADP
ajst-28811	227	224	40/70	40/70	NUM
ajst-28811	227	225	proppant	proppant	NOUN
ajst-28811	227	226	ratio	ratio	NOUN
ajst-28811	227	227	is	be	AUX
ajst-28811	227	228	46.06–70.19	46.06–70.19	NUM
ajst-28811	227	229	%	%	NOUN
ajst-28811	227	230	;	;	PUNCT
ajst-28811	227	231	the	the	DET
ajst-28811	227	232	optimal	optimal	ADJ
ajst-28811	227	233	range	range	NOUN
ajst-28811	227	234	for	for	ADP
ajst-28811	227	235	fluid	fluid	ADJ
ajst-28811	227	236	intensity	intensity	NOUN
ajst-28811	227	237	is	be	AUX
ajst-28811	227	238	24.79–33.99	24.79–33.99	NOUN
ajst-28811	227	239	m³	m³	ADJ
ajst-28811	227	240	;	;	PUNCT
ajst-28811	227	241	and	and	CCONJ
ajst-28811	227	242	the	the	DET
ajst-28811	227	243	optimal	optimal	ADJ
ajst-28811	227	244	sand	sand	NOUN
ajst-28811	227	245	addition	addition	NOUN
ajst-28811	227	246	intensity	intensity	NOUN
ajst-28811	227	247	is	be	AUX
ajst-28811	227	248	3.62–4.12	3.62–4.12	NUM
ajst-28811	227	249	t	t	PROPN
ajst-28811	227	250	/	/	SYM
ajst-28811	227	251	m	m	PROPN
ajst-28811	227	252	,	,	PUNCT
ajst-28811	227	253	see	see	VERB
ajst-28811	227	254	table	table	NOUN
ajst-28811	227	255	3	3	NUM
ajst-28811	227	256	.	.	PUNCT
ajst-28811	227	257	to	to	PART
ajst-28811	227	258	verify	verify	VERB
ajst-28811	227	259	the	the	DET
ajst-28811	227	260	effectiveness	effectiveness	NOUN
ajst-28811	227	261	of	of	ADP
ajst-28811	227	262	the	the	DET
ajst-28811	227	263	optimized	optimize	VERB
ajst-28811	227	264	plans	plan	NOUN
ajst-28811	227	265	,	,	PUNCT
ajst-28811	227	266	13	13	NUM
ajst-28811	227	267	neighboring	neighboring	NOUN
ajst-28811	227	268	wells	well	NOUN
ajst-28811	227	269	with	with	ADP
ajst-28811	227	270	similar	similar	ADJ
ajst-28811	227	271	geological	geological	ADJ
ajst-28811	227	272	parameters	parameter	NOUN
ajst-28811	227	273	and	and	CCONJ
ajst-28811	227	274	horizontal	horizontal	ADJ
ajst-28811	227	275	well	well	ADJ
ajst-28811	227	276	lengths	length	NOUN
ajst-28811	227	277	to	to	ADP
ajst-28811	227	278	the	the	DET
ajst-28811	227	279	wells	well	NOUN
ajst-28811	227	280	in	in	ADP
ajst-28811	227	281	the	the	DET
ajst-28811	227	282	y	y	PROPN
ajst-28811	227	283	block	block	NOUN
ajst-28811	227	284	were	be	AUX
ajst-28811	227	285	selected	select	VERB
ajst-28811	227	286	for	for	ADP
ajst-28811	227	287	analysis	analysis	NOUN
ajst-28811	227	288	and	and	CCONJ
ajst-28811	227	289	comparison	comparison	NOUN
ajst-28811	227	290	.	.	PUNCT
ajst-28811	228	1	table	table	NOUN
ajst-28811	228	2	3	3	NUM
ajst-28811	228	3	shows	show	VERB
ajst-28811	228	4	the	the	DET
ajst-28811	228	5	construction	construction	NOUN
ajst-28811	228	6	conditions	condition	NOUN
ajst-28811	228	7	for	for	ADP
ajst-28811	228	8	the	the	DET
ajst-28811	228	9	neighboring	neighboring	NOUN
ajst-28811	228	10	wells	well	NOUN
ajst-28811	228	11	.	.	PUNCT
ajst-28811	229	1	the	the	DET
ajst-28811	229	2	results	result	NOUN
ajst-28811	229	3	show	show	VERB
ajst-28811	229	4	that	that	SCONJ
ajst-28811	229	5	well	well	ADV
ajst-28811	229	6	6	6	NUM
ajst-28811	229	7	achieved	achieve	VERB
ajst-28811	229	8	the	the	DET
ajst-28811	229	9	highest	high	ADJ
ajst-28811	229	10	daily	daily	ADJ
ajst-28811	229	11	gas	gas	NOUN
ajst-28811	229	12	production	production	NOUN
ajst-28811	229	13	among	among	ADP
ajst-28811	229	14	the	the	DET
ajst-28811	229	15	13	13	NUM
ajst-28811	229	16	neighboring	neighboring	NOUN
ajst-28811	229	17	wells	well	NOUN
ajst-28811	229	18	,	,	PUNCT
ajst-28811	229	19	exceeding	exceed	VERB
ajst-28811	229	20	the	the	DET
ajst-28811	229	21	average	average	ADJ
ajst-28811	229	22	daily	daily	ADJ
ajst-28811	229	23	production	production	NOUN
ajst-28811	229	24	of	of	ADP
ajst-28811	229	25	the	the	DET
ajst-28811	229	26	13	13	NUM
ajst-28811	229	27	wells	well	NOUN
ajst-28811	229	28	by	by	ADP
ajst-28811	229	29	27.50	27.50	NUM
ajst-28811	229	30	%	%	NOUN
ajst-28811	229	31	.	.	PUNCT
ajst-28811	230	1	therefore	therefore	ADV
ajst-28811	230	2	,	,	PUNCT
ajst-28811	230	3	the	the	DET
ajst-28811	230	4	construction	construction	NOUN
ajst-28811	230	5	parameters	parameter	NOUN
ajst-28811	230	6	of	of	ADP
ajst-28811	230	7	well	well	ADV
ajst-28811	230	8	6	6	NUM
ajst-28811	230	9	were	be	AUX
ajst-28811	230	10	identified	identify	VERB
ajst-28811	230	11	as	as	ADP
ajst-28811	230	12	the	the	DET
ajst-28811	230	13	optimal	optimal	ADJ
ajst-28811	230	14	ones	one	NOUN
ajst-28811	230	15	among	among	ADP
ajst-28811	230	16	the	the	DET
ajst-28811	230	17	13	13	NUM
ajst-28811	230	18	neighboring	neighboring	NOUN
ajst-28811	230	19	wells	well	NOUN
ajst-28811	230	20	.	.	PUNCT
ajst-28811	231	1	additionally	additionally	ADV
ajst-28811	231	2	,	,	PUNCT
ajst-28811	231	3	the	the	DET
ajst-28811	231	4	construction	construction	NOUN
ajst-28811	231	5	parameters	parameter	NOUN
ajst-28811	231	6	of	of	ADP
ajst-28811	231	7	well	well	ADV
ajst-28811	231	8	6	6	NUM
ajst-28811	231	9	were	be	AUX
ajst-28811	231	10	found	find	VERB
ajst-28811	231	11	to	to	PART
ajst-28811	231	12	be	be	AUX
ajst-28811	231	13	very	very	ADV
ajst-28811	231	14	close	close	ADJ
ajst-28811	231	15	to	to	ADP
ajst-28811	231	16	the	the	DET
ajst-28811	231	17	average	average	ADJ
ajst-28811	231	18	values	value	NOUN
ajst-28811	231	19	of	of	ADP
ajst-28811	231	20	the	the	DET
ajst-28811	231	21	optimal	optimal	ADJ
ajst-28811	231	22	plan	plan	NOUN
ajst-28811	231	23	parameters	parameter	NOUN
ajst-28811	231	24	,	,	PUNCT
ajst-28811	231	25	with	with	ADP
ajst-28811	231	26	relative	relative	ADJ
ajst-28811	231	27	errors	error	NOUN
ajst-28811	231	28	within	within	ADP
ajst-28811	231	29	5	5	NUM
ajst-28811	231	30	%	%	NOUN
ajst-28811	231	31	,	,	PUNCT
ajst-28811	231	32	see	see	VERB
ajst-28811	231	33	table	table	NOUN
ajst-28811	231	34	4	4	NUM
ajst-28811	231	35	.	.	PUNCT
ajst-28811	231	36	table	table	NOUN
ajst-28811	231	37	4	4	NUM
ajst-28811	231	38	.	.	PUNCT
ajst-28811	231	39	optimization	optimization	NOUN
ajst-28811	231	40	scheme	scheme	NOUN
ajst-28811	231	41	benchmarking	benchmarking	NOUN
ajst-28811	231	42	analysis	analysis	NOUN
ajst-28811	231	43	fracturing	fracture	VERB
ajst-28811	231	44	parameters	parameter	NOUN
ajst-28811	231	45	average	average	ADJ
ajst-28811	231	46	value	value	NOUN
ajst-28811	231	47	benchmark	benchmark	NOUN
ajst-28811	231	48	well	well	NOUN
ajst-28811	231	49	6	6	NUM
ajst-28811	231	50	fracturing	fracturing	NOUN
ajst-28811	231	51	parameters	parameter	NOUN
ajst-28811	231	52	relative	relative	ADJ
ajst-28811	231	53	error	error	NOUN
ajst-28811	231	54	(	(	PUNCT
ajst-28811	231	55	%	%	INTJ
ajst-28811	231	56	)	)	PUNCT
ajst-28811	231	57	tff	tff	NOUN
ajst-28811	231	58	(	(	PUNCT
ajst-28811	231	59	m³	m³	PROPN
ajst-28811	231	60	)	)	PUNCT
ajst-28811	231	61	27998.21	27998.21	NUM
ajst-28811	231	62	28801.50	28801.50	NUM
ajst-28811	231	63	2.3	2.3	NUM
ajst-28811	231	64	ts	ts	X
ajst-28811	231	65	(	(	PUNCT
ajst-28811	231	66	t	t	PROPN
ajst-28811	231	67	)	)	PUNCT
ajst-28811	231	68	3653.38	3653.38	NUM
ajst-28811	231	69	3642.52	3642.52	NUM
ajst-28811	231	70	2.7	2.7	NUM
ajst-28811	231	71	40/70pr	40/70pr	NUM
ajst-28811	231	72	(	(	PUNCT
ajst-28811	231	73	%	%	NOUN
ajst-28811	231	74	)	)	PUNCT
ajst-28811	231	75	60.17	60.17	NUM
ajst-28811	231	76	58.81	58.81	NUM
ajst-28811	231	77	2.3	2.3	NUM
ajst-28811	231	78	fi	fi	NOUN
ajst-28811	231	79	(	(	PUNCT
ajst-28811	231	80	m³/m	m³/m	ADJ
ajst-28811	231	81	)	)	PUNCT
ajst-28811	231	82	30.52	30.52	NUM
ajst-28811	231	83	29.54	29.54	NUM
ajst-28811	231	84	3.2	3.2	NUM
ajst-28811	231	85	sai(t	sai(t	PROPN
ajst-28811	231	86	/	/	SYM
ajst-28811	231	87	m	m	NOUN
ajst-28811	231	88	)	)	PUNCT
ajst-28811	231	89	4.03	4.03	NUM
ajst-28811	231	90	3.85	3.85	NUM
ajst-28811	231	91	4.4	4.4	NUM
ajst-28811	231	92	since	since	SCONJ
ajst-28811	231	93	the	the	DET
ajst-28811	231	94	selected	select	VERB
ajst-28811	231	95	neighboring	neighboring	NOUN
ajst-28811	231	96	wells	well	NOUN
ajst-28811	231	97	have	have	VERB
ajst-28811	231	98	similar	similar	ADJ
ajst-28811	231	99	geological	geological	ADJ
ajst-28811	231	100	parameters	parameter	NOUN
ajst-28811	231	101	and	and	CCONJ
ajst-28811	231	102	horizontal	horizontal	ADJ
ajst-28811	231	103	well	well	ADJ
ajst-28811	231	104	lengths	length	NOUN
ajst-28811	231	105	to	to	ADP
ajst-28811	231	106	the	the	DET
ajst-28811	231	107	well	well	NOUN
ajst-28811	231	108	in	in	ADP
ajst-28811	231	109	question	question	NOUN
ajst-28811	231	110	,	,	PUNCT
ajst-28811	231	111	the	the	DET
ajst-28811	231	112	daily	daily	ADJ
ajst-28811	231	113	gas	gas	NOUN
ajst-28811	231	114	production	production	NOUN
ajst-28811	231	115	of	of	ADP
ajst-28811	231	116	well	well	ADV
ajst-28811	231	117	6	6	NUM
ajst-28811	231	118	closely	closely	ADV
ajst-28811	231	119	reflects	reflect	VERB
ajst-28811	231	120	the	the	DET
ajst-28811	231	121	rationality	rationality	NOUN
ajst-28811	231	122	of	of	ADP
ajst-28811	231	123	the	the	DET
ajst-28811	231	124	fracturing	fracturing	NOUN
ajst-28811	231	125	construction	construction	NOUN
ajst-28811	231	126	parameters	parameter	NOUN
ajst-28811	231	127	.	.	PUNCT
ajst-28811	232	1	the	the	DET
ajst-28811	232	2	above	above	ADJ
ajst-28811	232	3	results	result	NOUN
ajst-28811	232	4	indicate	indicate	VERB
ajst-28811	232	5	that	that	SCONJ
ajst-28811	232	6	the	the	DET
ajst-28811	232	7	optimized	optimize	VERB
ajst-28811	232	8	construction	construction	NOUN
ajst-28811	232	9	plan	plan	NOUN
ajst-28811	232	10	derived	derive	VERB
ajst-28811	232	11	from	from	ADP
ajst-28811	232	12	the	the	DET
ajst-28811	232	13	ssa	ssa	NOUN
ajst-28811	232	14	-	-	PUNCT
ajst-28811	232	15	xgboost	xgboost	PROPN
ajst-28811	232	16	shale	shale	NOUN
ajst-28811	232	17	gas	gas	NOUN
ajst-28811	232	18	production	production	NOUN
ajst-28811	232	19	prediction	prediction	NOUN
ajst-28811	232	20	model	model	NOUN
ajst-28811	232	21	is	be	AUX
ajst-28811	232	22	highly	highly	ADV
ajst-28811	232	23	accurate	accurate	ADJ
ajst-28811	232	24	.	.	PUNCT
ajst-28811	233	1	4	4	X
ajst-28811	233	2	.	.	X
ajst-28811	233	3	summary	summary	VERB
ajst-28811	233	4	through	through	ADP
ajst-28811	233	5	gray	gray	ADJ
ajst-28811	233	6	relational	relational	ADJ
ajst-28811	233	7	analysis	analysis	NOUN
ajst-28811	233	8	of	of	ADP
ajst-28811	233	9	the	the	DET
ajst-28811	233	10	influencing	influence	VERB
ajst-28811	233	11	factors	factor	NOUN
ajst-28811	233	12	,	,	PUNCT
ajst-28811	233	13	the	the	DET
ajst-28811	233	14	dominant	dominant	ADJ
ajst-28811	233	15	factors	factor	NOUN
ajst-28811	233	16	were	be	AUX
ajst-28811	233	17	selected	select	VERB
ajst-28811	233	18	as	as	ADP
ajst-28811	233	19	input	input	NOUN
ajst-28811	233	20	parameters	parameter	NOUN
ajst-28811	233	21	,	,	PUNCT
ajst-28811	233	22	simplifying	simplify	VERB
ajst-28811	233	23	the	the	DET
ajst-28811	233	24	model	model	NOUN
ajst-28811	233	25	structure	structure	NOUN
ajst-28811	233	26	.	.	PUNCT
ajst-28811	234	1	the	the	DET
ajst-28811	234	2	ssa	ssa	PROPN
ajst-28811	234	3	algorithm	algorithm	NOUN
ajst-28811	234	4	was	be	AUX
ajst-28811	234	5	applied	apply	VERB
ajst-28811	234	6	to	to	PART
ajst-28811	234	7	optimize	optimize	VERB
ajst-28811	234	8	the	the	DET
ajst-28811	234	9	xgboost	xgboost	PROPN
ajst-28811	234	10	model	model	NOUN
ajst-28811	234	11	,	,	PUNCT
ajst-28811	234	12	determining	determine	VERB
ajst-28811	234	13	the	the	DET
ajst-28811	234	14	optimal	optimal	ADJ
ajst-28811	234	15	parameter	parameter	NOUN
ajst-28811	234	16	combination	combination	NOUN
ajst-28811	234	17	.	.	PUNCT
ajst-28811	235	1	as	as	ADP
ajst-28811	235	2	a	a	DET
ajst-28811	235	3	result	result	NOUN
ajst-28811	235	4	,	,	PUNCT
ajst-28811	235	5	the	the	DET
ajst-28811	235	6	ssaxgboost	ssaxgboost	NOUN
ajst-28811	235	7	model	model	NOUN
ajst-28811	235	8	significantly	significantly	ADV
ajst-28811	235	9	improved	improve	VERB
ajst-28811	235	10	the	the	DET
ajst-28811	235	11	accuracy	accuracy	NOUN
ajst-28811	235	12	of	of	ADP
ajst-28811	235	13	shale	shale	NOUN
ajst-28811	235	14	gas	gas	NOUN
ajst-28811	235	15	production	production	NOUN
ajst-28811	235	16	prediction	prediction	NOUN
ajst-28811	235	17	,	,	PUNCT
ajst-28811	235	18	with	with	ADP
ajst-28811	235	19	mse	mse	PROPN
ajst-28811	235	20	and	and	CCONJ
ajst-28811	235	21	mre	mre	NOUN
ajst-28811	235	22	decreasing	decrease	VERB
ajst-28811	235	23	by	by	ADP
ajst-28811	235	24	66	66	NUM
ajst-28811	235	25	%	%	NOUN
ajst-28811	235	26	and	and	CCONJ
ajst-28811	235	27	63	63	NUM
ajst-28811	235	28	%	%	NOUN
ajst-28811	235	29	,	,	PUNCT
ajst-28811	235	30	respectively	respectively	ADV
ajst-28811	235	31	,	,	PUNCT
ajst-28811	235	32	and	and	CCONJ
ajst-28811	235	33	r²increasing	r²increase	VERB
ajst-28811	235	34	by	by	ADP
ajst-28811	235	35	5.6	5.6	NUM
ajst-28811	235	36	%	%	NOUN
ajst-28811	235	37	.	.	PUNCT
ajst-28811	236	1	compared	compare	VERB
ajst-28811	236	2	to	to	ADP
ajst-28811	236	3	four	four	NUM
ajst-28811	236	4	traditional	traditional	ADJ
ajst-28811	236	5	optimization	optimization	NOUN
ajst-28811	236	6	algorithms	algorithm	NOUN
ajst-28811	236	7	,	,	PUNCT
ajst-28811	236	8	the	the	DET
ajst-28811	236	9	ssa	ssa	NOUN
ajst-28811	236	10	-	-	PUNCT
ajst-28811	236	11	optimized	optimize	VERB
ajst-28811	236	12	model	model	NOUN
ajst-28811	236	13	demonstrated	demonstrate	VERB
ajst-28811	236	14	superior	superior	ADJ
ajst-28811	236	15	performance	performance	NOUN
ajst-28811	236	16	,	,	PUNCT
ajst-28811	236	17	confirming	confirm	VERB
ajst-28811	236	18	the	the	DET
ajst-28811	236	19	significant	significant	ADJ
ajst-28811	236	20	effectiveness	effectiveness	NOUN
ajst-28811	236	21	of	of	ADP
ajst-28811	236	22	ssa	ssa	NOUN
ajst-28811	236	23	in	in	ADP
ajst-28811	236	24	optimizing	optimize	VERB
ajst-28811	236	25	xgboost	xgboost	ADP
ajst-28811	236	26	parameters	parameter	NOUN
ajst-28811	236	27	and	and	CCONJ
ajst-28811	236	28	validating	validate	VERB
ajst-28811	236	29	its	its	PRON
ajst-28811	236	30	strong	strong	ADJ
ajst-28811	236	31	practical	practical	ADJ
ajst-28811	236	32	applicability	applicability	NOUN
ajst-28811	236	33	.	.	PUNCT
ajst-28811	237	1	when	when	SCONJ
ajst-28811	237	2	integrated	integrate	VERB
ajst-28811	237	3	with	with	ADP
ajst-28811	237	4	200	200	NUM
ajst-28811	237	5	field	field	NOUN
ajst-28811	237	6	-	-	PUNCT
ajst-28811	237	7	designed	design	VERB
ajst-28811	237	8	fracturing	fracturing	NOUN
ajst-28811	237	9	schemes	scheme	NOUN
ajst-28811	237	10	,	,	PUNCT
ajst-28811	237	11	well	well	ADV
ajst-28811	237	12	benchmarking	benchmarke	VERB
ajst-28811	237	13	experiments	experiment	NOUN
ajst-28811	237	14	indicated	indicate	VERB
ajst-28811	237	15	that	that	SCONJ
ajst-28811	237	16	optimizing	optimize	VERB
ajst-28811	237	17	fracturing	fracturing	NOUN
ajst-28811	237	18	parameters	parameter	NOUN
ajst-28811	237	19	using	use	VERB
ajst-28811	237	20	the	the	DET
ajst-28811	237	21	ssa	ssa	NOUN
ajst-28811	237	22	-	-	PUNCT
ajst-28811	237	23	xgboost	xgboost	PROPN
ajst-28811	237	24	shale	shale	NOUN
ajst-28811	237	25	gas	gas	NOUN
ajst-28811	237	26	production	production	NOUN
ajst-28811	237	27	prediction	prediction	NOUN
ajst-28811	237	28	model	model	NOUN
ajst-28811	237	29	is	be	AUX
ajst-28811	237	30	a	a	DET
ajst-28811	237	31	reliable	reliable	ADJ
ajst-28811	237	32	and	and	CCONJ
ajst-28811	237	33	efficient	efficient	ADJ
ajst-28811	237	34	method	method	NOUN
ajst-28811	237	35	,	,	PUNCT
ajst-28811	237	36	with	with	ADP
ajst-28811	237	37	the	the	DET
ajst-28811	237	38	potential	potential	NOUN
ajst-28811	237	39	to	to	PART
ajst-28811	237	40	achieve	achieve	VERB
ajst-28811	237	41	significant	significant	ADJ
ajst-28811	237	42	production	production	NOUN
ajst-28811	237	43	increases	increase	NOUN
ajst-28811	237	44	in	in	ADP
ajst-28811	237	45	the	the	DET
ajst-28811	237	46	y	y	PROPN
ajst-28811	237	47	block	block	NOUN
ajst-28811	237	48	.	.	PUNCT
ajst-28811	238	1	despite	despite	SCONJ
ajst-28811	238	2	the	the	DET
ajst-28811	238	3	limited	limited	ADJ
ajst-28811	238	4	data	datum	NOUN
ajst-28811	238	5	available	available	ADJ
ajst-28811	238	6	from	from	ADP
ajst-28811	238	7	the	the	DET
ajst-28811	238	8	y	y	PROPN
ajst-28811	238	9	block	block	NOUN
ajst-28811	238	10	,	,	PUNCT
ajst-28811	238	11	future	future	ADJ
ajst-28811	238	12	improvements	improvement	NOUN
ajst-28811	238	13	can	can	AUX
ajst-28811	238	14	incorporate	incorporate	VERB
ajst-28811	238	15	data	datum	NOUN
ajst-28811	238	16	from	from	ADP
ajst-28811	238	17	additional	additional	ADJ
ajst-28811	238	18	wells	well	NOUN
ajst-28811	238	19	,	,	PUNCT
ajst-28811	238	20	further	far	ADV
ajst-28811	238	21	refining	refine	VERB
ajst-28811	238	22	the	the	DET
ajst-28811	238	23	model	model	NOUN
ajst-28811	238	24	to	to	PART
ajst-28811	238	25	accommodate	accommodate	VERB
ajst-28811	238	26	fracturing	fracturing	NOUN
ajst-28811	238	27	wells	well	NOUN
ajst-28811	238	28	in	in	ADP
ajst-28811	238	29	different	different	ADJ
ajst-28811	238	30	blocks	block	NOUN
ajst-28811	238	31	and	and	CCONJ
ajst-28811	238	32	enhancing	enhance	VERB
ajst-28811	238	33	the	the	DET
ajst-28811	238	34	model	model	NOUN
ajst-28811	238	35	's	's	PART
ajst-28811	238	36	generalization	generalization	NOUN
ajst-28811	238	37	ability	ability	NOUN
ajst-28811	238	38	and	and	CCONJ
ajst-28811	238	39	on	on	ADP
ajst-28811	238	40	-	-	PUNCT
ajst-28811	238	41	site	site	NOUN
ajst-28811	238	42	applicability	applicability	NOUN
ajst-28811	238	43	.	.	PUNCT
ajst-28811	239	1	references	reference	NOUN
ajst-28811	239	2	[	[	X
ajst-28811	239	3	1	1	NUM
ajst-28811	239	4	]	]	PUNCT
ajst-28811	239	5	x.s.guo	x.s.guo	PROPN
ajst-28811	239	6	,	,	PUNCT
ajst-28811	239	7	b.j	b.j	PROPN
ajst-28811	239	8	tenger	tenger	NOUN
ajst-28811	239	9	,	,	PUNCT
ajst-28811	239	10	x.f.wei	x.f.wei	PROPN
ajst-28811	239	11	,	,	PUNCT
ajst-28811	239	12	et	et	PROPN
ajst-28811	239	13	al	al	PROPN
ajst-28811	239	14	.	.	PROPN
ajst-28811	239	15	occurrence	occurrence	NOUN
ajst-28811	239	16	mechanism	mechanism	NOUN
ajst-28811	239	17	and	and	CCONJ
ajst-28811	239	18	exploration	exploration	NOUN
ajst-28811	239	19	potential	potential	NOUN
ajst-28811	239	20	of	of	ADP
ajst-28811	239	21	deep	deep	ADJ
ajst-28811	239	22	marine	marine	ADJ
ajst-28811	239	23	shale	shale	NOUN
ajst-28811	239	24	gas	gas	NOUN
ajst-28811	239	25	in	in	ADP
ajst-28811	239	26	sichuan	sichuan	PROPN
ajst-28811	239	27	basin.acta	basin.acta	PROPN
ajst-28811	239	28	petrolei	petrolei	NOUN
ajst-28811	239	29	sinica.2022,vol.43(no.4),p.453	sinica.2022,vol.43(no.4),p.453	NOUN
ajst-28811	239	30	-	-	PUNCT
ajst-28811	239	31	468.(in	468.(in	NUM
ajst-28811	239	32	chinese	chinese	ADJ
ajst-28811	239	33	)	)	PUNCT
ajst-28811	240	1	[	[	X
ajst-28811	240	2	2	2	X
ajst-28811	240	3	]	]	PUNCT
ajst-28811	240	4	h.	h.	PROPN
ajst-28811	240	5	zhang	zhang	PROPN
ajst-28811	240	6	,	,	PUNCT
ajst-28811	240	7	j.	j.	PROPN
ajst-28811	240	8	sheng	sheng	PROPN
ajst-28811	240	9	.	.	PUNCT
ajst-28811	241	1	optimization	optimization	NOUN
ajst-28811	241	2	of	of	ADP
ajst-28811	241	3	horizontal	horizontal	ADJ
ajst-28811	241	4	well	well	NOUN
ajst-28811	241	5	fracturing	fracturing	NOUN
ajst-28811	241	6	in	in	ADP
ajst-28811	241	7	shale	shale	NOUN
ajst-28811	241	8	gas	gas	NOUN
ajst-28811	241	9	reservoir	reservoir	NOUN
ajst-28811	241	10	based	base	VERB
ajst-28811	241	11	on	on	ADP
ajst-28811	241	12	stimulated	stimulate	VERB
ajst-28811	241	13	reservoir	reservoir	NOUN
ajst-28811	241	14	volume.journal	volume.journal	PROPN
ajst-28811	241	15	of	of	ADP
ajst-28811	241	16	petroleum	petroleum	NOUN
ajst-28811	241	17	science	science	NOUN
ajst-28811	241	18	and	and	CCONJ
ajst-28811	241	19	engineering	engineering	NOUN
ajst-28811	241	20	.	.	PUNCT
ajst-28811	242	1	2020	2020	NUM
ajst-28811	242	2	,	,	PUNCT
ajst-28811	242	3	vol.190,p	vol.190,p	NOUN
ajst-28811	242	4	.	.	PUNCT
ajst-28811	242	5	107059	107059	NUM
ajst-28811	243	1	[	[	X
ajst-28811	243	2	3	3	NUM
ajst-28811	243	3	]	]	X
ajst-28811	243	4	t.y	t.y	PROPN
ajst-28811	243	5	.	.	PUNCT
ajst-28811	243	6	luo	luo	PROPN
ajst-28811	243	7	,	,	PUNCT
ajst-28811	243	8	j.z	j.z	PROPN
ajst-28811	243	9	.	.	PROPN
ajst-28811	243	10	zhao	zhao	PROPN
ajst-28811	243	11	,	,	PUNCT
ajst-28811	243	12	j.h	j.h	PROPN
ajst-28811	243	13	.	.	PROPN
ajst-28811	243	14	wang	wang	PROPN
ajst-28811	243	15	,	,	PUNCT
ajst-28811	243	16	et	et	PROPN
ajst-28811	243	17	al	al	PROPN
ajst-28811	243	18	.	.	PUNCT
ajst-28811	243	19	multiple	multiple	ADJ
ajst-28811	243	20	-	-	PUNCT
ajst-28811	243	21	transversefracture	transversefracture	NOUN
ajst-28811	243	22	extension	extension	NOUN
ajst-28811	243	23	model	model	NOUN
ajst-28811	243	24	for	for	ADP
ajst-28811	243	25	hydraulic	hydraulic	ADJ
ajst-28811	243	26	fracturing.natural	fracturing.natural	PROPN
ajst-28811	243	27	gas	gas	NOUN
ajst-28811	243	28	industry.2007,vol	industry.2007,vol	PROPN
ajst-28811	243	29	.	.	PROPN
ajst-28811	243	30	27	27	NUM
ajst-28811	243	31	(	(	PUNCT
ajst-28811	243	32	no	no	NOUN
ajst-28811	243	33	.	.	NOUN
ajst-28811	243	34	10	10	NUM
ajst-28811	243	35	)	)	PUNCT
ajst-28811	243	36	no	no	NOUN
ajst-28811	243	37	.	.	NOUN
ajst-28811	243	38	10	10	NUM
ajst-28811	243	39	,	,	PUNCT
ajst-28811	243	40	p.	p.	NOUN
ajst-28811	243	41	75	75	NUM
ajst-28811	243	42	-	-	SYM
ajst-28811	243	43	78	78	NUM
ajst-28811	243	44	+	+	NUM
ajst-28811	243	45	139	139	NUM
ajst-28811	243	46	.	.	PUNCT
ajst-28811	244	1	(	(	PUNCT
ajst-28811	244	2	in	in	ADP
ajst-28811	244	3	chinese	chinese	PROPN
ajst-28811	244	4	)	)	PUNCT
ajst-28811	245	1	[	[	X
ajst-28811	245	2	4	4	NUM
ajst-28811	245	3	]	]	PUNCT
ajst-28811	245	4	x.	x.	PROPN
ajst-28811	245	5	shi	shi	PROPN
ajst-28811	245	6	,	,	PUNCT
ajst-28811	245	7	y.f	y.f	PROPN
ajst-28811	245	8	.	.	PUNCT
ajst-28811	245	9	cheng	cheng	PROPN
ajst-28811	245	10	,	,	PUNCT
ajst-28811	245	11	x.	x.	PROPN
ajst-28811	245	12	chang	chang	PROPN
ajst-28811	245	13	,	,	PUNCT
ajst-28811	245	14	et	et	PROPN
ajst-28811	245	15	al	al	PROPN
ajst-28811	245	16	.	.	PUNCT
ajst-28811	245	17	establishment	establishment	NOUN
ajst-28811	245	18	and	and	CCONJ
ajst-28811	245	19	application	application	NOUN
ajst-28811	245	20	of	of	ADP
ajst-28811	245	21	the	the	DET
ajst-28811	245	22	model	model	NOUN
ajst-28811	245	23	for	for	ADP
ajst-28811	245	24	the	the	DET
ajst-28811	245	25	synchronous	synchronous	ADJ
ajst-28811	245	26	propagation	propagation	NOUN
ajst-28811	245	27	of	of	ADP
ajst-28811	245	28	multi	multi	ADJ
ajst-28811	245	29	-	-	ADJ
ajst-28811	245	30	cluster	cluster	ADJ
ajst-28811	245	31	fractures	fracture	NOUN
ajst-28811	245	32	in	in	ADP
ajst-28811	245	33	the	the	DET
ajst-28811	245	34	horizontal	horizontal	ADJ
ajst-28811	245	35	section	section	NOUN
ajst-28811	245	36	of	of	ADP
ajst-28811	245	37	shale	shale	NOUN
ajst-28811	245	38	-	-	PUNCT
ajst-28811	245	39	gas	gas	NOUN
ajst-28811	245	40	horizontal	horizontal	ADJ
ajst-28811	245	41	well.oil	well.oil	PRON
ajst-28811	245	42	drilling	drilling	NOUN
ajst-28811	245	43	&	&	CCONJ
ajst-28811	245	44	production	production	NOUN
ajst-28811	245	45	technology	technology	NOUN
ajst-28811	245	46	.	.	PUNCT
ajst-28811	246	1	2018	2018	NUM
ajst-28811	246	2	,	,	PUNCT
ajst-28811	246	3	vol.40	vol.40	NOUN
ajst-28811	246	4	(	(	PUNCT
ajst-28811	246	5	no.2),p	no.2),p	PROPN
ajst-28811	246	6	.	.	PUNCT
ajst-28811	246	7	247	247	NUM
ajst-28811	246	8	-	-	SYM
ajst-28811	246	9	252	252	NUM
ajst-28811	246	10	.	.	PUNCT
ajst-28811	247	1	(	(	PUNCT
ajst-28811	247	2	in	in	ADP
ajst-28811	247	3	chinese	chinese	PROPN
ajst-28811	247	4	)	)	PUNCT
ajst-28811	248	1	[	[	X
ajst-28811	248	2	5	5	X
ajst-28811	248	3	]	]	PUNCT
ajst-28811	248	4	c.	c.	PROPN
ajst-28811	248	5	liu	liu	PROPN
ajst-28811	248	6	.	.	PUNCT
ajst-28811	249	1	numerical	numerical	PROPN
ajst-28811	249	2	investigating	investigate	VERB
ajst-28811	249	3	the	the	DET
ajst-28811	249	4	hydraulic	hydraulic	ADJ
ajst-28811	249	5	fracturing	fracturing	NOUN
ajst-28811	249	6	of	of	ADP
ajst-28811	249	7	horizontal	horizontal	ADJ
ajst-28811	250	1	well	well	ADV
ajst-28811	250	2	and	and	CCONJ
ajst-28811	250	3	the	the	DET
ajst-28811	250	4	optimization	optimization	NOUN
ajst-28811	250	5	of	of	ADP
ajst-28811	250	6	stimulation	stimulation	NOUN
ajst-28811	250	7	parameters	parameter	NOUN
ajst-28811	250	8	,	,	PUNCT
ajst-28811	250	9	240	240	NUM
ajst-28811	250	10	university	university	NOUN
ajst-28811	250	11	of	of	ADP
ajst-28811	250	12	science	science	NOUN
ajst-28811	250	13	and	and	CCONJ
ajst-28811	250	14	technology	technology	NOUN
ajst-28811	250	15	of	of	ADP
ajst-28811	250	16	china	china	PROPN
ajst-28811	250	17	,	,	PUNCT
ajst-28811	250	18	2017	2017	NUM
ajst-28811	250	19	.	.	PUNCT
ajst-28811	251	1	(	(	PUNCT
ajst-28811	251	2	in	in	ADP
ajst-28811	251	3	chinese	chinese	PROPN
ajst-28811	251	4	)	)	PUNCT
ajst-28811	252	1	[	[	X
ajst-28811	252	2	6	6	NUM
ajst-28811	252	3	]	]	X
ajst-28811	252	4	r.h	r.h	PROPN
ajst-28811	252	5	.	.	PROPN
ajst-28811	252	6	zhang	zhang	PROPN
ajst-28811	252	7	,	,	PUNCT
ajst-28811	252	8	l.h	l.h	PROPN
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ajst-28811	253	9	horizontal	horizontal	ADJ
ajst-28811	253	10	well	well	ADV
ajst-28811	253	11	in	in	ADP
ajst-28811	253	12	shale	shale	NOUN
ajst-28811	253	13	gas	gas	NOUN
ajst-28811	253	14	reservoir	reservoir	NOUN
ajst-28811	253	15	considering	consider	VERB
ajst-28811	253	16	complex	complex	ADJ
ajst-28811	253	17	fracture	fracture	NOUN
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ajst-28811	253	19	of	of	ADP
ajst-28811	253	20	natural	natural	ADJ
ajst-28811	253	21	gas	gas	NOUN
ajst-28811	253	22	science	science	NOUN
ajst-28811	253	23	and	and	CCONJ
ajst-28811	253	24	engineering	engineering	NOUN
ajst-28811	253	25	.	.	PUNCT
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ajst-28811	254	2	.	.	PUNCT
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ajst-28811	254	4	,	,	PUNCT
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ajst-28811	254	7	.	.	PUNCT
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ajst-28811	255	3	]	]	X
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ajst-28811	255	5	.	.	PUNCT
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ajst-28811	256	2	,	,	PUNCT
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ajst-28811	256	4	.	.	PUNCT
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ajst-28811	257	2	,	,	PUNCT
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ajst-28811	257	8	.	.	PUNCT
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ajst-28811	257	24	,	,	PUNCT
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ajst-28811	258	9	-	-	SYM
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ajst-28811	259	4	)	)	PUNCT
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ajst-28811	260	3	]	]	SYM
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ajst-28811	260	5	.	.	PROPN
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ajst-28811	260	7	,	,	PUNCT
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ajst-28811	260	11	c.	c.	PROPN
ajst-28811	260	12	jia	jia	PROPN
ajst-28811	260	13	,	,	PUNCT
ajst-28811	260	14	et	et	PROPN
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ajst-28811	260	18	effect	effect	NOUN
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ajst-28811	260	22	sparrow	sparrow	ADJ
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ajst-28811	260	25	and	and	CCONJ
ajst-28811	260	26	bp	bp	PROPN
ajst-28811	260	27	neural	neural	ADJ
ajst-28811	260	28	network	network	NOUN
ajst-28811	260	29	,	,	PUNCT
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ajst-28811	260	31	drilling	drilling	NOUN
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ajst-28811	260	33	production	production	NOUN
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ajst-28811	260	35	,	,	PUNCT
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ajst-28811	260	37	.	.	PROPN
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ajst-28811	260	39	(	(	PUNCT
ajst-28811	260	40	no.42	no.42	PROPN
ajst-28811	260	41	)	)	PUNCT
ajst-28811	260	42	,	,	PUNCT
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ajst-28811	260	45	-	-	SYM
ajst-28811	260	46	528	528	NUM
ajst-28811	260	47	.	.	PUNCT
ajst-28811	261	1	(	(	PUNCT
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ajst-28811	261	4	)	)	PUNCT
ajst-28811	262	1	[	[	X
ajst-28811	262	2	9	9	NUM
ajst-28811	262	3	]	]	PUNCT
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ajst-28811	262	8	.	.	PROPN
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ajst-28811	262	12	.	.	PROPN
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ajst-28811	262	14	,	,	PUNCT
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ajst-28811	262	29	,	,	PUNCT
ajst-28811	262	30	drilling	drilling	NOUN
ajst-28811	262	31	&	&	CCONJ
ajst-28811	262	32	production	production	NOUN
ajst-28811	262	33	technology	technology	NOUN
ajst-28811	262	34	,	,	PUNCT
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ajst-28811	262	36	.	.	PROPN
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ajst-28811	262	39	2022	2022	NUM
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ajst-28811	262	44	,	,	PUNCT
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ajst-28811	262	46	1	1	NUM
ajst-28811	262	47	-	-	SYM
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ajst-28811	262	49	.	.	PUNCT
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ajst-28811	263	7	j.	j.	PROPN
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ajst-28811	263	19	-	-	PUNCT
ajst-28811	263	20	gas	gas	NOUN
ajst-28811	263	21	production	production	NOUN
ajst-28811	263	22	at	at	ADP
ajst-28811	263	23	duvernay	duvernay	ADV
ajst-28811	263	24	formation	formation	NOUN
ajst-28811	263	25	using	use	VERB
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ajst-28811	263	27	-	-	PUNCT
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ajst-28811	263	31	.	.	PROPN
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ajst-28811	264	2	(	(	PUNCT
ajst-28811	264	3	no	no	NOUN
ajst-28811	264	4	.	.	NOUN
ajst-28811	264	5	6	6	NUM
ajst-28811	264	6	)	)	PUNCT
ajst-28811	264	7	,	,	PUNCT
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ajst-28811	264	10	-	-	SYM
ajst-28811	264	11	1325	1325	NUM
ajst-28811	264	12	.	.	PUNCT
ajst-28811	265	1	[	[	X
ajst-28811	265	2	11	11	NUM
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ajst-28811	265	21	prediction	prediction	NOUN
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ajst-28811	266	2	12	12	NUM
ajst-28811	266	3	]	]	PUNCT
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ajst-28811	266	30	.	.	PUNCT
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ajst-28811	267	8	.	.	PUNCT
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ajst-28811	269	2	,	,	PUNCT
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ajst-28811	274	2	in	in	ADP
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ajst-28811	276	4	,	,	PUNCT
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ajst-28811	276	7	-	-	SYM
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ajst-28811	276	9	.	.	PUNCT
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ajst-28811	277	25	evolutionary	evolutionary	ADJ
ajst-28811	277	26	algorithm	algorithm	NOUN
ajst-28811	277	27	methods	method	NOUN
ajst-28811	277	28	.	.	PUNCT
ajst-28811	278	1	energies.2022,vol	energies.2022,vol	PROPN
ajst-28811	278	2	.	.	PROPN
ajst-28811	278	3	15	15	NUM
ajst-28811	278	4	(	(	PUNCT
ajst-28811	278	5	no.16	no.16	NOUN
ajst-28811	278	6	)	)	PUNCT
ajst-28811	278	7	,	,	PUNCT
ajst-28811	278	8	p.	p.	NOUN
ajst-28811	278	9	6063	6063	NUM
ajst-28811	278	10	.	.	PUNCT
ajst-28811	279	1	[	[	X
ajst-28811	279	2	16	16	NUM
ajst-28811	279	3	]	]	PUNCT
ajst-28811	279	4	x.	x.	NOUN
ajst-28811	279	5	zhou	zhou	PROPN
ajst-28811	279	6	,	,	PUNCT
ajst-28811	279	7	q.	q.	PROPN
ajst-28811	279	8	ran	run	VERB
ajst-28811	279	9	.	.	PUNCT
ajst-28811	280	1	optimization	optimization	NOUN
ajst-28811	280	2	of	of	ADP
ajst-28811	280	3	fracturing	fracture	VERB
ajst-28811	280	4	parameters	parameter	NOUN
ajst-28811	280	5	by	by	ADP
ajst-28811	280	6	modified	modify	VERB
ajst-28811	280	7	genetic	genetic	ADJ
ajst-28811	280	8	algorithm	algorithm	NOUN
ajst-28811	280	9	in	in	ADP
ajst-28811	280	10	shale	shale	NOUN
ajst-28811	280	11	gas	gas	NOUN
ajst-28811	280	12	reservoir	reservoir	NOUN
ajst-28811	280	13	.	.	PUNCT
ajst-28811	281	1	energies	energy	NOUN
ajst-28811	281	2	.	.	PUNCT
ajst-28811	282	1	2023	2023	NUM
ajst-28811	282	2	,	,	PUNCT
ajst-28811	282	3	vol	vol	NOUN
ajst-28811	282	4	.	.	PUNCT
ajst-28811	283	1	16	16	NUM
ajst-28811	283	2	(	(	PUNCT
ajst-28811	283	3	no	no	INTJ
ajst-28811	283	4	.	.	NOUN
ajst-28811	283	5	6	6	NUM
ajst-28811	283	6	)	)	PUNCT
ajst-28811	283	7	,	,	PUNCT
ajst-28811	284	1	p.	p.	NOUN
ajst-28811	284	2	2868	2868	NUM
ajst-28811	284	3	.	.	PUNCT
ajst-28811	285	1	[	[	X
ajst-28811	285	2	17	17	NUM
ajst-28811	285	3	]	]	X
ajst-28811	285	4	h.	h.	PROPN
ajst-28811	285	5	yang	yang	PROPN
ajst-28811	285	6	,	,	PUNCT
ajst-28811	285	7	x.	x.	PROPN
ajst-28811	285	8	liu	liu	PROPN
ajst-28811	285	9	,	,	PUNCT
ajst-28811	285	10	x.	x.	PROPN
ajst-28811	285	11	chu	chu	PROPN
ajst-28811	285	12	,	,	PUNCT
ajst-28811	285	13	et	et	PROPN
ajst-28811	285	14	al	al	PROPN
ajst-28811	285	15	.	.	PUNCT
ajst-28811	285	16	optimization	optimization	NOUN
ajst-28811	285	17	of	of	ADP
ajst-28811	285	18	tight	tight	ADJ
ajst-28811	285	19	gas	gas	NOUN
ajst-28811	285	20	reservoir	reservoir	NOUN
ajst-28811	285	21	fracturing	fracturing	NOUN
ajst-28811	285	22	parameters	parameter	NOUN
ajst-28811	285	23	via	via	ADP
ajst-28811	285	24	gradient	gradient	ADJ
ajst-28811	285	25	boosting	boost	VERB
ajst-28811	285	26	regression	regression	NOUN
ajst-28811	285	27	modeling	modeling	NOUN
ajst-28811	285	28	.	.	PUNCT
ajst-28811	286	1	heliyon.2024,vol	heliyon.2024,vol	VERB
ajst-28811	286	2	.	.	PROPN
ajst-28811	286	3	10	10	NUM
ajst-28811	286	4	,	,	PUNCT
ajst-28811	286	5	p.	p.	NOUN
ajst-28811	286	6	e14092	e14092	PROPN
ajst-28811	286	7	.	.	PUNCT
ajst-28811	287	1	[	[	X
ajst-28811	287	2	18	18	NUM
ajst-28811	287	3	]	]	X
ajst-28811	287	4	d.l	d.l	PROPN
ajst-28811	287	5	.	.	PROPN
ajst-28811	287	6	guo	guo	PROPN
ajst-28811	287	7	,	,	PUNCT
ajst-28811	287	8	y.f	y.f	PROPN
ajst-28811	287	9	.	.	PROPN
ajst-28811	287	10	tang	tang	PROPN
ajst-28811	287	11	,	,	PUNCT
ajst-28811	287	12	s.g	s.g	PROPN
ajst-28811	287	13	.	.	PROPN
ajst-28811	287	14	li	li	PROPN
ajst-28811	287	15	,	,	PUNCT
ajst-28811	287	16	et	et	PROPN
ajst-28811	287	17	al	al	PROPN
ajst-28811	287	18	.	.	PUNCT
ajst-28811	287	19	optimization	optimization	NOUN
ajst-28811	287	20	of	of	ADP
ajst-28811	287	21	tight	tight	ADJ
ajst-28811	287	22	gas	gas	NOUN
ajst-28811	287	23	fracturing	fracturing	NOUN
ajst-28811	287	24	operation	operation	NOUN
ajst-28811	287	25	parameters	parameter	NOUN
ajst-28811	287	26	based	base	VERB
ajst-28811	287	27	on	on	ADP
ajst-28811	287	28	bp-pso.science	bp-pso.science	NOUN
ajst-28811	287	29	technology	technology	NOUN
ajst-28811	287	30	and	and	CCONJ
ajst-28811	287	31	engineering.2022,vol	engineering.2022,vol	PROPN
ajst-28811	287	32	.	.	PROPN
ajst-28811	288	1	22	22	NUM
ajst-28811	288	2	(	(	PUNCT
ajst-28811	288	3	no	no	NOUN
ajst-28811	288	4	.	.	NOUN
ajst-28811	288	5	19	19	NUM
ajst-28811	288	6	)	)	PUNCT
ajst-28811	288	7	,	,	PUNCT
ajst-28811	289	1	p.	p.	NOUN
ajst-28811	289	2	83048312	83048312	NUM
ajst-28811	289	3	.	.	PUNCT
ajst-28811	290	1	(	(	PUNCT
ajst-28811	290	2	in	in	ADP
ajst-28811	290	3	chinese	chinese	PROPN
ajst-28811	290	4	)	)	PUNCT
ajst-28811	291	1	[	[	X
ajst-28811	291	2	19	19	NUM
ajst-28811	291	3	]	]	X
ajst-28811	291	4	z.z	z.z	PROPN
ajst-28811	291	5	.	.	PUNCT
ajst-28811	291	6	zhou	zhou	PROPN
ajst-28811	291	7	,	,	PUNCT
ajst-28811	291	8	j.q	j.q	PROPN
ajst-28811	291	9	.	.	PROPN
ajst-28811	291	10	tang	tang	PROPN
ajst-28811	291	11	,	,	PUNCT
ajst-28811	291	12	y.m	y.m	PROPN
ajst-28811	291	13	.	.	PROPN
ajst-28811	291	14	huang	huang	PROPN
ajst-28811	291	15	,	,	PUNCT
ajst-28811	291	16	et	et	PROPN
ajst-28811	291	17	al	al	PROPN
ajst-28811	291	18	.	.	PUNCT
ajst-28811	291	19	optimization	optimization	NOUN
ajst-28811	291	20	of	of	ADP
ajst-28811	291	21	fracturing	fracture	VERB
ajst-28811	291	22	parameters	parameter	NOUN
ajst-28811	291	23	for	for	ADP
ajst-28811	291	24	horizontal	horizontal	ADJ
ajst-28811	291	25	wells	well	NOUN
ajst-28811	291	26	in	in	ADP
ajst-28811	291	27	block	block	NOUN
ajst-28811	291	28	a	a	PRON
ajst-28811	291	29	of	of	ADP
ajst-28811	291	30	aonan	aonan	PROPN
ajst-28811	291	31	oilfield	oilfield	NOUN
ajst-28811	291	32	.	.	PUNCT
ajst-28811	292	1	mathematics	mathematic	NOUN
ajst-28811	292	2	in	in	ADP
ajst-28811	292	3	practice	practice	NOUN
ajst-28811	292	4	and	and	CCONJ
ajst-28811	292	5	theory	theory	NOUN
ajst-28811	292	6	.	.	PUNCT
ajst-28811	293	1	2021,vol	2021,vol	NUM
ajst-28811	293	2	.	.	PUNCT
ajst-28811	294	1	51	51	NUM
ajst-28811	294	2	(	(	PUNCT
ajst-28811	294	3	no	no	INTJ
ajst-28811	294	4	.	.	NOUN
ajst-28811	294	5	20	20	NUM
ajst-28811	294	6	)	)	PUNCT
ajst-28811	294	7	,	,	PUNCT
ajst-28811	294	8	p.	p.	NOUN
ajst-28811	294	9	65	65	NUM
ajst-28811	294	10	-	-	SYM
ajst-28811	294	11	72	72	NUM
ajst-28811	294	12	.	.	PUNCT
ajst-28811	295	1	(	(	PUNCT
ajst-28811	295	2	in	in	ADP
ajst-28811	295	3	chinese	chinese	PROPN
ajst-28811	295	4	)	)	PUNCT
ajst-28811	296	1	[	[	X
ajst-28811	296	2	20	20	NUM
ajst-28811	296	3	]	]	PUNCT
ajst-28811	296	4	m.	m.	NOUN
ajst-28811	296	5	wang	wang	PROPN
ajst-28811	296	6	m	m	PROPN
ajst-28811	296	7	,	,	PUNCT
ajst-28811	296	8	g.	g.	PROPN
ajst-28811	296	9	hui	hui	PROPN
ajst-28811	296	10	g	g	PROPN
ajst-28811	296	11	,	,	PUNCT
ajst-28811	296	12	y.	y.	PROPN
ajst-28811	296	13	pang	pang	PROPN
ajst-28811	296	14	y	y	PROPN
ajst-28811	296	15	,	,	PUNCT
ajst-28811	296	16	et	et	PROPN
ajst-28811	296	17	al	al	PROPN
ajst-28811	296	18	.	.	PUNCT
ajst-28811	296	19	optimization	optimization	NOUN
ajst-28811	296	20	of	of	ADP
ajst-28811	296	21	machine	machine	NOUN
ajst-28811	296	22	learning	learn	VERB
ajst-28811	296	23	approaches	approach	NOUN
ajst-28811	296	24	for	for	ADP
ajst-28811	296	25	shale	shale	NOUN
ajst-28811	296	26	gas	gas	NOUN
ajst-28811	296	27	production	production	NOUN
ajst-28811	296	28	forecast	forecast	NOUN
ajst-28811	296	29	.	.	PUNCT
ajst-28811	297	1	geoenergy	geoenergy	NOUN
ajst-28811	297	2	science	science	NOUN
ajst-28811	297	3	and	and	CCONJ
ajst-28811	297	4	engineering.2023	engineering.2023	PROPN
ajst-28811	297	5	,	,	PUNCT
ajst-28811	297	6	226	226	NUM
ajst-28811	297	7	:	:	PUNCT
ajst-28811	297	8	p.211719	p.211719	X
ajst-28811	297	9	.	.	PUNCT
ajst-28811	298	1	[	[	X
ajst-28811	298	2	21	21	NUM
ajst-28811	298	3	]	]	X
ajst-28811	298	4	q.	q.	PROPN
ajst-28811	298	5	wang	wang	PROPN
ajst-28811	298	6	,	,	PUNCT
ajst-28811	298	7	h.w	h.w	PROPN
ajst-28811	298	8	.	.	PROPN
ajst-28811	298	9	qin	qin	PROPN
ajst-28811	298	10	,	,	PUNCT
ajst-28811	298	11	c.s	c.s	PROPN
ajst-28811	298	12	.	.	PROPN
ajst-28811	298	13	qi	qi	PROPN
ajst-28811	298	14	,	,	PUNCT
ajst-28811	298	15	et	et	PROPN
ajst-28811	298	16	al	al	PROPN
ajst-28811	298	17	.	.	PROPN
ajst-28811	298	18	improved	improve	VERB
ajst-28811	298	19	xgboost	xgboost	X
ajst-28811	298	20	temperature	temperature	NOUN
ajst-28811	298	21	prediction	prediction	NOUN
ajst-28811	298	22	method	method	NOUN
ajst-28811	298	23	based	base	VERB
ajst-28811	298	24	on	on	ADP
ajst-28811	298	25	sa	sa	NOUN
ajst-28811	298	26	-	-	PUNCT
ajst-28811	298	27	pso	pso	NOUN
ajst-28811	298	28	.	.	PUNCT
ajst-28811	299	1	electronic	electronic	ADJ
ajst-28811	299	2	measurement	measurement	NOUN
ajst-28811	299	3	technology.2023,vol	technology.2023,vol	PROPN
ajst-28811	299	4	.	.	PROPN
ajst-28811	300	1	46	46	NUM
ajst-28811	300	2	(	(	PUNCT
ajst-28811	300	3	no.7	no.7	PROPN
ajst-28811	300	4	)	)	PUNCT
ajst-28811	300	5	,	,	PUNCT
ajst-28811	301	1	p.	p.	NOUN
ajst-28811	301	2	67	67	NUM
ajst-28811	301	3	-	-	SYM
ajst-28811	301	4	72	72	NUM
ajst-28811	301	5	.	.	PUNCT
ajst-28811	302	1	[	[	X
ajst-28811	302	2	22	22	NUM
ajst-28811	302	3	]	]	PUNCT
ajst-28811	302	4	j.	j.	PROPN
ajst-28811	302	5	xue	xue	PROPN
ajst-28811	302	6	,	,	PUNCT
ajst-28811	302	7	b.	b.	PROPN
ajst-28811	302	8	shen	shen	PROPN
ajst-28811	302	9	.	.	PUNCT
ajst-28811	303	1	a	a	DET
ajst-28811	303	2	novel	novel	ADJ
ajst-28811	303	3	swarm	swarm	NOUN
ajst-28811	303	4	intelligence	intelligence	NOUN
ajst-28811	303	5	optimization	optimization	NOUN
ajst-28811	303	6	approach	approach	NOUN
ajst-28811	303	7	:	:	PUNCT
ajst-28811	303	8	sparrow	sparrow	NOUN
ajst-28811	303	9	search	search	NOUN
ajst-28811	303	10	algorithm.systems	algorithm.systems	PROPN
ajst-28811	303	11	science	science	PROPN
ajst-28811	303	12	&	&	CCONJ
ajst-28811	303	13	control	control	PROPN
ajst-28811	303	14	engineering	engineering	PROPN
ajst-28811	303	15	:	:	PUNCT
ajst-28811	303	16	an	an	DET
ajst-28811	303	17	open	open	ADJ
ajst-28811	303	18	access	access	NOUN
ajst-28811	303	19	journal	journal	NOUN
ajst-28811	303	20	.	.	PUNCT
ajst-28811	304	1	2020,vol	2020,vol	NUM
ajst-28811	304	2	.	.	NOUN
ajst-28811	304	3	8	8	NUM
ajst-28811	304	4	(	(	PUNCT
ajst-28811	304	5	no.1	no.1	NUM
ajst-28811	304	6	)	)	PUNCT
ajst-28811	304	7	,	,	PUNCT
ajst-28811	304	8	p.	p.	NOUN
ajst-28811	304	9	22	22	NUM
ajst-28811	304	10	-	-	SYM
ajst-28811	304	11	34	34	NUM
ajst-28811	304	12	.	.	PUNCT
ajst-28811	305	1	[	[	X
ajst-28811	305	2	23	23	NUM
ajst-28811	305	3	]	]	X
ajst-28811	305	4	r.c	r.c	PROPN
ajst-28811	305	5	.	.	PROPN
ajst-28811	305	6	liu	liu	PROPN
ajst-28811	305	7	,	,	PUNCT
ajst-28811	305	8	j.x	j.x	PROPN
ajst-28811	305	9	.	.	PROPN
ajst-28811	305	10	li	li	PROPN
ajst-28811	305	11	,	,	PUNCT
ajst-28811	305	12	j.	j.	PROPN
ajst-28811	305	13	liu	liu	PROPN
ajst-28811	305	14	,	,	PUNCT
ajst-28811	305	15	et	et	PROPN
ajst-28811	305	16	al	al	PROPN
ajst-28811	305	17	.	.	PUNCT
ajst-28811	306	1	a	a	DET
ajst-28811	306	2	survey	survey	NOUN
ajst-28811	306	3	on	on	ADP
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ajst-28811	306	5	multi	multi	ADJ
ajst-28811	306	6	objective	objective	ADJ
ajst-28811	306	7	optimization	optimization	NOUN
ajst-28811	306	8	.	.	PUNCT
ajst-28811	307	1	chinese	chinese	ADJ
ajst-28811	307	2	journal	journal	PROPN
ajst-28811	307	3	of	of	ADP
ajst-28811	307	4	computers	computer	NOUN
ajst-28811	307	5	.	.	PUNCT
ajst-28811	308	1	2020	2020	NUM
ajst-28811	308	2	,	,	PUNCT
ajst-28811	308	3	vol	vol	NOUN
ajst-28811	308	4	.	.	PROPN
ajst-28811	309	1	43	43	NUM
ajst-28811	309	2	(	(	PUNCT
ajst-28811	309	3	no	no	INTJ
ajst-28811	309	4	.	.	NOUN
ajst-28811	309	5	7	7	NUM
ajst-28811	309	6	)	)	PUNCT
ajst-28811	309	7	,	,	PUNCT
ajst-28811	310	1	p.	p.	NOUN
ajst-28811	310	2	1246	1246	NUM
ajst-28811	310	3	-	-	SYM
ajst-28811	310	4	1278	1278	NUM
ajst-28811	310	5	.	.	PUNCT
ajst-28811	311	1	[	[	X
ajst-28811	311	2	24	24	NUM
ajst-28811	311	3	]	]	X
ajst-28811	311	4	x.y	x.y	PROPN
ajst-28811	311	5	.	.	PROPN
ajst-28811	311	6	hou	hou	PROPN
ajst-28811	311	7	,	,	PUNCT
ajst-28811	311	8	h.y	h.y	PROPN
ajst-28811	311	9	.	.	PROPN
ajst-28811	311	10	lu	lu	PROPN
ajst-28811	311	11	,	,	PUNCT
ajst-28811	311	12	m.d	m.d	PROPN
ajst-28811	311	13	.	.	PROPN
ajst-28811	311	14	lu	lu	PROPN
ajst-28811	311	15	,	,	PUNCT
ajst-28811	311	16	et	et	PROPN
ajst-28811	311	17	al	al	PROPN
ajst-28811	311	18	.	.	PUNCT
ajst-28811	312	1	bidirectional	bidirectional	PROPN
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ajst-28811	312	3	equilibrium	equilibrium	NOUN
ajst-28811	312	4	optimizer	optimizer	NOUN
ajst-28811	312	5	combining	combine	VERB
ajst-28811	312	6	sparrow	sparrow	NOUN
ajst-28811	312	7	search	search	NOUN
ajst-28811	312	8	and	and	CCONJ
ajst-28811	312	9	random	random	ADJ
ajst-28811	312	10	difference	difference	NOUN
ajst-28811	312	11	.	.	PUNCT
ajst-28811	313	1	computer	computer	NOUN
ajst-28811	313	2	science.2023	science.2023	PROPN
ajst-28811	313	3	,	,	PUNCT
ajst-28811	313	4	vol	vol	NOUN
ajst-28811	313	5	.	.	PROPN
ajst-28811	313	6	50	50	NUM
ajst-28811	313	7	(	(	PUNCT
ajst-28811	313	8	no.11	no.11	PROPN
ajst-28811	313	9	)	)	PUNCT
ajst-28811	313	10	,	,	PUNCT
ajst-28811	313	11	p.	p.	NOUN
ajst-28811	313	12	248	248	NUM
ajst-28811	313	13	-	-	SYM
ajst-28811	313	14	258	258	NUM
ajst-28811	313	15	.	.	PUNCT
ajst-28811	314	1	[	[	X
ajst-28811	314	2	25	25	NUM
ajst-28811	314	3	]	]	X
ajst-28811	314	4	c.	c.	PROPN
ajst-28811	314	5	zhang	zhang	PROPN
ajst-28811	314	6	,	,	PUNCT
ajst-28811	314	7	y.	y.	PROPN
ajst-28811	314	8	he	he	PRON
ajst-28811	314	9	,	,	PUNCT
ajst-28811	314	10	l.	l.	PROPN
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ajst-28811	314	12	,	,	PUNCT
ajst-28811	314	13	et	et	PROPN
ajst-28811	314	14	al	al	PROPN
ajst-28811	314	15	.	.	PUNCT
ajst-28811	315	1	capacity	capacity	NOUN
ajst-28811	315	2	prognostics	prognostic	NOUN
ajst-28811	315	3	of	of	ADP
ajst-28811	315	4	lithium	lithium	NOUN
ajst-28811	315	5	-	-	PUNCT
ajst-28811	315	6	ion	ion	NOUN
ajst-28811	315	7	batteries	battery	NOUN
ajst-28811	315	8	using	use	VERB
ajst-28811	315	9	emd	emd	PROPN
ajst-28811	315	10	denoising	denoising	NOUN
ajst-28811	315	11	and	and	CCONJ
ajst-28811	315	12	multiple	multiple	ADJ
ajst-28811	315	13	kernel	kernel	PROPN
ajst-28811	315	14	rvm.ieee	rvm.ieee	NOUN
ajst-28811	315	15	access.2017	access.2017	PROPN
ajst-28811	315	16	,	,	PUNCT
ajst-28811	315	17	p.1	p.1	NOUN
ajst-28811	315	18	-	-	SYM
ajst-28811	315	19	1	1	NUM