id	sid	tid	token	lemma	pos
iogr-1205	1	1	copyright	copyright	NOUN
iogr-1205	1	2	©	©	ADP
iogr-1205	1	3	the	the	DET
iogr-1205	1	4	author(s	author(s	NOUN
iogr-1205	1	5	)	)	PUNCT
iogr-1205	1	6	.	.	PUNCT
iogr-1205	2	1	this	this	DET
iogr-1205	2	2	work	work	NOUN
iogr-1205	2	3	is	be	AUX
iogr-1205	2	4	licensed	license	VERB
iogr-1205	2	5	under	under	ADP
iogr-1205	2	6	a	a	DET
iogr-1205	2	7	creative	creative	ADJ
iogr-1205	2	8	commons	common	NOUN
iogr-1205	2	9	attribution	attribution	NOUN
iogr-1205	2	10	4.0	4.0	NUM
iogr-1205	2	11	international	international	ADJ
iogr-1205	2	12	license	license	NOUN
iogr-1205	2	13	.	.	PUNCT
iogr-1205	3	1	doi:10.14800	doi:10.14800	NOUN
iogr-1205	3	2	/	/	SYM
iogr-1205	3	3	iogr.1205	iogr.1205	PROPN
iogr-1205	3	4	received	receive	VERB
iogr-1205	3	5	may	may	PROPN
iogr-1205	3	6	10	10	NUM
iogr-1205	3	7	,	,	PUNCT
iogr-1205	3	8	2022	2022	NUM
iogr-1205	3	9	;	;	PUNCT
iogr-1205	3	10	revised	revise	VERB
iogr-1205	3	11	june	june	PROPN
iogr-1205	3	12	20	20	NUM
iogr-1205	3	13	,	,	PUNCT
iogr-1205	3	14	2022	2022	NUM
iogr-1205	3	15	;	;	PUNCT
iogr-1205	3	16	accepted	accept	VERB
iogr-1205	3	17	june	june	PROPN
iogr-1205	3	18	27	27	NUM
iogr-1205	3	19	,	,	PUNCT
iogr-1205	3	20	2022	2022	NUM
iogr-1205	3	21	.	.	PUNCT
iogr-1205	4	1	*	*	PUNCT
iogr-1205	4	2	corresponding	correspond	VERB
iogr-1205	4	3	author	author	NOUN
iogr-1205	4	4	:	:	PUNCT
iogr-1205	4	5	maicaolan@hcmut.edu.vn	maicaolan@hcmut.edu.vn	NOUN
iogr-1205	4	6	1	1	NUM
iogr-1205	4	7	a	a	DET
iogr-1205	4	8	comparative	comparative	ADJ
iogr-1205	4	9	study	study	NOUN
iogr-1205	4	10	on	on	ADP
iogr-1205	4	11	different	different	ADJ
iogr-1205	4	12	machine	machine	NOUN
iogr-1205	4	13	learning	learn	VERB
iogr-1205	4	14	algorithms	algorithm	NOUN
iogr-1205	4	15	for	for	ADP
iogr-1205	4	16	petroleum	petroleum	NOUN
iogr-1205	4	17	production	production	NOUN
iogr-1205	4	18	forecasting	forecasting	NOUN
iogr-1205	4	19	lan	lan	PROPN
iogr-1205	4	20	mai	mai	PROPN
iogr-1205	4	21	-	-	PUNCT
iogr-1205	4	22	cao	cao	PROPN
iogr-1205	4	23	*	*	PROPN
iogr-1205	4	24	,	,	PUNCT
iogr-1205	4	25	ho	ho	PROPN
iogr-1205	4	26	chi	chi	PROPN
iogr-1205	4	27	minh	minh	PROPN
iogr-1205	4	28	city	city	PROPN
iogr-1205	4	29	university	university	PROPN
iogr-1205	4	30	of	of	ADP
iogr-1205	4	31	technology	technology	NOUN
iogr-1205	4	32	(	(	PUNCT
iogr-1205	4	33	hcmut	hcmut	ADJ
iogr-1205	4	34	)	)	PUNCT
iogr-1205	4	35	,	,	PUNCT
iogr-1205	4	36	ho	ho	PROPN
iogr-1205	4	37	chi	chi	PROPN
iogr-1205	4	38	minh	minh	PROPN
iogr-1205	4	39	city	city	PROPN
iogr-1205	4	40	,	,	PUNCT
iogr-1205	4	41	vietnam	vietnam	PROPN
iogr-1205	4	42	and	and	CCONJ
iogr-1205	4	43	hoa	hoa	PROPN
iogr-1205	4	44	truong	truong	PROPN
iogr-1205	4	45	-	-	PUNCT
iogr-1205	4	46	khac	khac	NOUN
iogr-1205	4	47	,	,	PUNCT
iogr-1205	4	48	petrovietnam	petrovietnam	PROPN
iogr-1205	4	49	exploration	exploration	PROPN
iogr-1205	4	50	&	&	CCONJ
iogr-1205	4	51	production	production	NOUN
iogr-1205	4	52	corporation	corporation	NOUN
iogr-1205	4	53	–	–	PUNCT
iogr-1205	4	54	integrated	integrate	VERB
iogr-1205	4	55	technical	technical	ADJ
iogr-1205	4	56	center	center	NOUN
iogr-1205	4	57	(	(	PUNCT
iogr-1205	4	58	pvep	pvep	NOUN
iogr-1205	4	59	-	-	PUNCT
iogr-1205	4	60	itc	itc	PROPN
iogr-1205	4	61	)	)	PUNCT
iogr-1205	4	62	,	,	PUNCT
iogr-1205	4	63	ho	ho	PROPN
iogr-1205	4	64	chi	chi	PROPN
iogr-1205	4	65	minh	minh	PROPN
iogr-1205	4	66	city	city	PROPN
iogr-1205	4	67	,	,	PUNCT
iogr-1205	4	68	vietnam	vietnam	PROPN
iogr-1205	4	69	abstract	abstract	NOUN
iogr-1205	4	70	in	in	ADP
iogr-1205	4	71	the	the	DET
iogr-1205	4	72	recent	recent	ADJ
iogr-1205	4	73	years	year	NOUN
iogr-1205	4	74	,	,	PUNCT
iogr-1205	4	75	machine	machine	NOUN
iogr-1205	4	76	learning	learning	NOUN
iogr-1205	4	77	and	and	CCONJ
iogr-1205	4	78	its	its	PRON
iogr-1205	4	79	subset	subset	NOUN
iogr-1205	4	80	,	,	PUNCT
iogr-1205	4	81	deep	deep	ADJ
iogr-1205	4	82	learning	learning	NOUN
iogr-1205	4	83	,	,	PUNCT
iogr-1205	4	84	have	have	AUX
iogr-1205	4	85	been	be	AUX
iogr-1205	4	86	quickly	quickly	ADV
iogr-1205	4	87	developed	develop	VERB
iogr-1205	4	88	and	and	CCONJ
iogr-1205	4	89	applied	apply	VERB
iogr-1205	4	90	with	with	ADP
iogr-1205	4	91	great	great	ADJ
iogr-1205	4	92	success	success	NOUN
iogr-1205	4	93	in	in	ADP
iogr-1205	4	94	various	various	ADJ
iogr-1205	4	95	areas	area	NOUN
iogr-1205	4	96	of	of	ADP
iogr-1205	4	97	petroleum	petroleum	NOUN
iogr-1205	4	98	engineering	engineering	NOUN
iogr-1205	4	99	.	.	PUNCT
iogr-1205	5	1	different	different	ADJ
iogr-1205	5	2	machine	machine	NOUN
iogr-1205	5	3	learning	learn	VERB
iogr-1205	5	4	algorithms	algorithm	NOUN
iogr-1205	5	5	for	for	ADP
iogr-1205	5	6	petroleum	petroleum	NOUN
iogr-1205	5	7	production	production	NOUN
iogr-1205	5	8	forecast	forecast	NOUN
iogr-1205	5	9	are	be	AUX
iogr-1205	5	10	studied	study	VERB
iogr-1205	5	11	in	in	ADP
iogr-1205	5	12	this	this	DET
iogr-1205	5	13	work	work	NOUN
iogr-1205	5	14	for	for	ADP
iogr-1205	5	15	efficiency	efficiency	NOUN
iogr-1205	5	16	comparison	comparison	NOUN
iogr-1205	5	17	purpose	purpose	NOUN
iogr-1205	5	18	.	.	PUNCT
iogr-1205	6	1	historical	historical	ADJ
iogr-1205	6	2	production	production	NOUN
iogr-1205	6	3	data	datum	NOUN
iogr-1205	6	4	from	from	ADP
iogr-1205	6	5	an	an	DET
iogr-1205	6	6	oil	oil	NOUN
iogr-1205	6	7	well	well	NOUN
iogr-1205	6	8	currently	currently	ADV
iogr-1205	6	9	producing	produce	VERB
iogr-1205	6	10	in	in	ADP
iogr-1205	6	11	the	the	DET
iogr-1205	6	12	oilfield	oilfield	NOUN
iogr-1205	6	13	x	x	NOUN
iogr-1205	6	14	,	,	PUNCT
iogr-1205	6	15	southern	southern	ADJ
iogr-1205	6	16	vietnam	vietnam	PROPN
iogr-1205	6	17	has	have	AUX
iogr-1205	6	18	been	be	AUX
iogr-1205	6	19	first	first	ADV
iogr-1205	6	20	preprocessed	preprocesse	VERB
iogr-1205	6	21	to	to	PART
iogr-1205	6	22	construct	construct	VERB
iogr-1205	6	23	eight	eight	NUM
iogr-1205	6	24	different	different	ADJ
iogr-1205	6	25	predictive	predictive	ADJ
iogr-1205	6	26	models	model	NOUN
iogr-1205	6	27	for	for	ADP
iogr-1205	6	28	production	production	NOUN
iogr-1205	6	29	forecast	forecast	NOUN
iogr-1205	6	30	on	on	ADP
iogr-1205	6	31	the	the	DET
iogr-1205	6	32	oil	oil	NOUN
iogr-1205	6	33	well	well	ADV
iogr-1205	6	34	under	under	ADP
iogr-1205	6	35	consideration	consideration	NOUN
iogr-1205	6	36	.	.	PUNCT
iogr-1205	7	1	the	the	DET
iogr-1205	7	2	algorithms	algorithm	NOUN
iogr-1205	7	3	under	under	ADP
iogr-1205	7	4	consideration	consideration	NOUN
iogr-1205	7	5	in	in	ADP
iogr-1205	7	6	this	this	DET
iogr-1205	7	7	work	work	NOUN
iogr-1205	7	8	are	be	AUX
iogr-1205	7	9	:	:	PUNCT
iogr-1205	7	10	(	(	PUNCT
iogr-1205	7	11	1	1	X
iogr-1205	7	12	)	)	PUNCT
iogr-1205	7	13	the	the	DET
iogr-1205	7	14	classical	classical	ADJ
iogr-1205	7	15	machine	machine	NOUN
iogr-1205	7	16	learning	learn	VERB
iogr-1205	7	17	algorithms	algorithm	NOUN
iogr-1205	7	18	,	,	PUNCT
iogr-1205	7	19	including	include	VERB
iogr-1205	7	20	random	random	ADJ
iogr-1205	7	21	forest	forest	NOUN
iogr-1205	7	22	,	,	PUNCT
iogr-1205	7	23	gradient	gradient	NOUN
iogr-1205	7	24	boosting	boosting	NOUN
iogr-1205	7	25	,	,	PUNCT
iogr-1205	7	26	k	k	X
iogr-1205	7	27	-	-	PUNCT
iogr-1205	7	28	nearest	near	ADJ
iogr-1205	7	29	neighbor	neighbor	NOUN
iogr-1205	7	30	,	,	PUNCT
iogr-1205	7	31	support	support	NOUN
iogr-1205	7	32	vector	vector	NOUN
iogr-1205	7	33	regression	regression	NOUN
iogr-1205	7	34	;	;	PUNCT
iogr-1205	7	35	and	and	CCONJ
iogr-1205	7	36	(	(	PUNCT
iogr-1205	7	37	2	2	X
iogr-1205	7	38	)	)	PUNCT
iogr-1205	7	39	the	the	DET
iogr-1205	7	40	deep	deep	ADJ
iogr-1205	7	41	learning	learning	NOUN
iogr-1205	7	42	algorithms	algorithm	NOUN
iogr-1205	7	43	,	,	PUNCT
iogr-1205	7	44	including	include	VERB
iogr-1205	7	45	multilayer	multilayer	PROPN
iogr-1205	7	46	perceptron	perceptron	PROPN
iogr-1205	7	47	,	,	PUNCT
iogr-1205	7	48	convolutional	convolutional	ADJ
iogr-1205	7	49	neural	neural	ADJ
iogr-1205	7	50	network	network	NOUN
iogr-1205	7	51	,	,	PUNCT
iogr-1205	7	52	long	long	ADJ
iogr-1205	7	53	short	short	ADJ
iogr-1205	7	54	-	-	PUNCT
iogr-1205	7	55	term	term	NOUN
iogr-1205	7	56	memory	memory	NOUN
iogr-1205	7	57	,	,	PUNCT
iogr-1205	7	58	and	and	CCONJ
iogr-1205	7	59	gated	gate	VERB
iogr-1205	7	60	recurrent	recurrent	ADJ
iogr-1205	7	61	unit	unit	NOUN
iogr-1205	7	62	.	.	PUNCT
iogr-1205	8	1	the	the	DET
iogr-1205	8	2	results	result	NOUN
iogr-1205	8	3	from	from	ADP
iogr-1205	8	4	this	this	DET
iogr-1205	8	5	comparative	comparative	ADJ
iogr-1205	8	6	study	study	NOUN
iogr-1205	8	7	show	show	VERB
iogr-1205	8	8	that	that	SCONJ
iogr-1205	8	9	in	in	ADP
iogr-1205	8	10	spite	spite	NOUN
iogr-1205	8	11	of	of	ADP
iogr-1205	8	12	their	their	PRON
iogr-1205	8	13	simplicity	simplicity	NOUN
iogr-1205	8	14	,	,	PUNCT
iogr-1205	8	15	some	some	DET
iogr-1205	8	16	classical	classical	ADJ
iogr-1205	8	17	machine	machine	NOUN
iogr-1205	8	18	learning	learn	VERB
iogr-1205	8	19	algorithms	algorithm	NOUN
iogr-1205	8	20	,	,	PUNCT
iogr-1205	8	21	especially	especially	ADV
iogr-1205	8	22	the	the	DET
iogr-1205	8	23	support	support	NOUN
iogr-1205	8	24	vector	vector	NOUN
iogr-1205	8	25	regression	regression	NOUN
iogr-1205	8	26	shows	show	VERB
iogr-1205	8	27	its	its	PRON
iogr-1205	8	28	high	high	ADJ
iogr-1205	8	29	efficiency	efficiency	NOUN
iogr-1205	8	30	in	in	ADP
iogr-1205	8	31	performing	perform	VERB
iogr-1205	8	32	the	the	DET
iogr-1205	8	33	prediction	prediction	NOUN
iogr-1205	8	34	tests	test	NOUN
iogr-1205	8	35	.	.	PUNCT
iogr-1205	9	1	in	in	ADP
iogr-1205	9	2	addition	addition	NOUN
iogr-1205	9	3	,	,	PUNCT
iogr-1205	9	4	it	it	PRON
iogr-1205	9	5	can	can	AUX
iogr-1205	9	6	be	be	AUX
iogr-1205	9	7	found	find	VERB
iogr-1205	9	8	from	from	ADP
iogr-1205	9	9	this	this	DET
iogr-1205	9	10	work	work	NOUN
iogr-1205	9	11	that	that	SCONJ
iogr-1205	9	12	preprocessing	preprocessing	NOUN
iogr-1205	9	13	of	of	ADP
iogr-1205	9	14	the	the	DET
iogr-1205	9	15	historical	historical	ADJ
iogr-1205	9	16	production	production	NOUN
iogr-1205	9	17	data	datum	NOUN
iogr-1205	9	18	is	be	AUX
iogr-1205	9	19	crucial	crucial	ADJ
iogr-1205	9	20	to	to	ADP
iogr-1205	9	21	the	the	DET
iogr-1205	9	22	success	success	NOUN
iogr-1205	9	23	of	of	ADP
iogr-1205	9	24	the	the	DET
iogr-1205	9	25	application	application	NOUN
iogr-1205	9	26	of	of	ADP
iogr-1205	9	27	artificial	artificial	ADJ
iogr-1205	9	28	neural	neural	ADJ
iogr-1205	9	29	networks	network	NOUN
iogr-1205	9	30	to	to	ADP
iogr-1205	9	31	production	production	NOUN
iogr-1205	9	32	forecasting	forecasting	NOUN
iogr-1205	9	33	.	.	PUNCT
iogr-1205	10	1	introduction	introduction	NOUN
iogr-1205	10	2	production	production	NOUN
iogr-1205	10	3	forecast	forecast	NOUN
iogr-1205	10	4	is	be	AUX
iogr-1205	10	5	an	an	DET
iogr-1205	10	6	important	important	ADJ
iogr-1205	10	7	task	task	NOUN
iogr-1205	10	8	to	to	PART
iogr-1205	10	9	perform	perform	VERB
iogr-1205	10	10	economic	economic	ADJ
iogr-1205	10	11	evaluation	evaluation	NOUN
iogr-1205	10	12	and	and	CCONJ
iogr-1205	10	13	production	production	NOUN
iogr-1205	10	14	optimization	optimization	NOUN
iogr-1205	10	15	for	for	ADP
iogr-1205	10	16	oil	oil	NOUN
iogr-1205	10	17	and	and	CCONJ
iogr-1205	10	18	gas	gas	NOUN
iogr-1205	10	19	reservoirs	reservoir	NOUN
iogr-1205	10	20	.	.	PUNCT
iogr-1205	11	1	one	one	NUM
iogr-1205	11	2	of	of	ADP
iogr-1205	11	3	the	the	DET
iogr-1205	11	4	most	most	ADV
iogr-1205	11	5	popular	popular	ADJ
iogr-1205	11	6	methods	method	NOUN
iogr-1205	11	7	for	for	ADP
iogr-1205	11	8	production	production	NOUN
iogr-1205	11	9	forecasting	forecasting	NOUN
iogr-1205	11	10	is	be	AUX
iogr-1205	11	11	decline	decline	NOUN
iogr-1205	11	12	curve	curve	NOUN
iogr-1205	11	13	analysis	analysis	NOUN
iogr-1205	11	14	(	(	PUNCT
iogr-1205	11	15	dca	dca	PROPN
iogr-1205	11	16	)	)	PUNCT
iogr-1205	11	17	thanks	thank	NOUN
iogr-1205	11	18	to	to	ADP
iogr-1205	11	19	its	its	PRON
iogr-1205	11	20	simplicity	simplicity	NOUN
iogr-1205	11	21	with	with	ADP
iogr-1205	11	22	the	the	DET
iogr-1205	11	23	empirical	empirical	ADJ
iogr-1205	11	24	observation	observation	NOUN
iogr-1205	11	25	of	of	ADP
iogr-1205	11	26	production	production	NOUN
iogr-1205	11	27	decline	decline	NOUN
iogr-1205	11	28	and	and	CCONJ
iogr-1205	11	29	the	the	DET
iogr-1205	11	30	basic	basic	ADJ
iogr-1205	11	31	assumption	assumption	NOUN
iogr-1205	11	32	about	about	ADP
iogr-1205	11	33	the	the	DET
iogr-1205	11	34	preserved	preserve	VERB
iogr-1205	11	35	trend	trend	NOUN
iogr-1205	11	36	of	of	ADP
iogr-1205	11	37	the	the	DET
iogr-1205	11	38	rate	rate	NOUN
iogr-1205	11	39	decline	decline	NOUN
iogr-1205	11	40	curve	curve	NOUN
iogr-1205	11	41	in	in	ADP
iogr-1205	11	42	the	the	DET
iogr-1205	11	43	future	future	NOUN
iogr-1205	11	44	(	(	PUNCT
iogr-1205	11	45	arps	arps	PROPN
iogr-1205	11	46	1945	1945	NUM
iogr-1205	11	47	)	)	PUNCT
iogr-1205	11	48	.	.	PUNCT
iogr-1205	12	1	since	since	SCONJ
iogr-1205	12	2	the	the	DET
iogr-1205	12	3	physics	physics	NOUN
iogr-1205	12	4	associated	associate	VERB
iogr-1205	12	5	with	with	ADP
iogr-1205	12	6	the	the	DET
iogr-1205	12	7	hydrocarbon	hydrocarbon	NOUN
iogr-1205	12	8	recovery	recovery	NOUN
iogr-1205	12	9	process	process	NOUN
iogr-1205	12	10	are	be	AUX
iogr-1205	12	11	not	not	PART
iogr-1205	12	12	fully	fully	ADV
iogr-1205	12	13	captured	capture	VERB
iogr-1205	12	14	by	by	ADP
iogr-1205	12	15	dca	dca	PROPN
iogr-1205	12	16	,	,	PUNCT
iogr-1205	12	17	prediction	prediction	NOUN
iogr-1205	12	18	results	result	NOUN
iogr-1205	12	19	of	of	ADP
iogr-1205	12	20	the	the	DET
iogr-1205	12	21	method	method	NOUN
iogr-1205	12	22	are	be	AUX
iogr-1205	12	23	usually	usually	ADV
iogr-1205	12	24	not	not	PART
iogr-1205	12	25	robust	robust	ADJ
iogr-1205	12	26	(	(	PUNCT
iogr-1205	12	27	satter	satter	ADJ
iogr-1205	12	28	and	and	CCONJ
iogr-1205	12	29	iqbal	iqbal	PROPN
iogr-1205	12	30	2016	2016	NUM
iogr-1205	12	31	)	)	PUNCT
iogr-1205	12	32	.	.	PUNCT
iogr-1205	13	1	a	a	DET
iogr-1205	13	2	more	more	ADV
iogr-1205	13	3	comprehensive	comprehensive	ADJ
iogr-1205	13	4	approach	approach	NOUN
iogr-1205	13	5	to	to	ADP
iogr-1205	13	6	oil	oil	NOUN
iogr-1205	13	7	and	and	CCONJ
iogr-1205	13	8	gas	gas	NOUN
iogr-1205	13	9	production	production	NOUN
iogr-1205	13	10	prediction	prediction	NOUN
iogr-1205	13	11	is	be	AUX
iogr-1205	13	12	reservoir	reservoir	NOUN
iogr-1205	13	13	simulation	simulation	NOUN
iogr-1205	13	14	.	.	PUNCT
iogr-1205	14	1	although	although	SCONJ
iogr-1205	14	2	this	this	DET
iogr-1205	14	3	approach	approach	NOUN
iogr-1205	14	4	yields	yield	VERB
iogr-1205	14	5	more	more	ADV
iogr-1205	14	6	reliable	reliable	ADJ
iogr-1205	14	7	prediction	prediction	NOUN
iogr-1205	14	8	results	result	NOUN
iogr-1205	14	9	,	,	PUNCT
iogr-1205	14	10	it	it	PRON
iogr-1205	14	11	requires	require	VERB
iogr-1205	14	12	much	much	ADV
iogr-1205	14	13	more	more	ADJ
iogr-1205	14	14	data	datum	NOUN
iogr-1205	14	15	and	and	CCONJ
iogr-1205	14	16	effort	effort	NOUN
iogr-1205	14	17	as	as	ADV
iogr-1205	14	18	well	well	ADV
iogr-1205	14	19	as	as	ADP
iogr-1205	14	20	advanced	advanced	ADJ
iogr-1205	14	21	domain	domain	NOUN
iogr-1205	14	22	knowledge	knowledge	NOUN
iogr-1205	14	23	for	for	ADP
iogr-1205	14	24	a	a	DET
iogr-1205	14	25	valid	valid	ADJ
iogr-1205	14	26	reservoir	reservoir	NOUN
iogr-1205	14	27	model	model	NOUN
iogr-1205	14	28	(	(	PUNCT
iogr-1205	14	29	islam	islam	PROPN
iogr-1205	14	30	et	et	PROPN
iogr-1205	14	31	al	al	PROPN
iogr-1205	14	32	.	.	PROPN
iogr-1205	14	33	2016	2016	NUM
iogr-1205	14	34	)	)	PUNCT
iogr-1205	14	35	.	.	PUNCT
iogr-1205	15	1	with	with	ADP
iogr-1205	15	2	the	the	DET
iogr-1205	15	3	rapid	rapid	ADJ
iogr-1205	15	4	development	development	NOUN
iogr-1205	15	5	of	of	ADP
iogr-1205	15	6	computing	compute	VERB
iogr-1205	15	7	technology	technology	NOUN
iogr-1205	15	8	and	and	CCONJ
iogr-1205	15	9	data	datum	NOUN
iogr-1205	15	10	analytics	analytic	NOUN
iogr-1205	15	11	,	,	PUNCT
iogr-1205	15	12	machine	machine	NOUN
iogr-1205	15	13	learning	learning	NOUN
iogr-1205	15	14	(	(	PUNCT
iogr-1205	15	15	ml	ml	NOUN
iogr-1205	15	16	)	)	PUNCT
iogr-1205	15	17	and	and	CCONJ
iogr-1205	15	18	its	its	PRON
iogr-1205	15	19	special	special	ADJ
iogr-1205	15	20	subset	subset	NOUN
iogr-1205	15	21	,	,	PUNCT
iogr-1205	15	22	deep	deep	ADJ
iogr-1205	15	23	learning	learning	NOUN
iogr-1205	15	24	(	(	PUNCT
iogr-1205	15	25	dl	dl	PROPN
iogr-1205	15	26	)	)	PUNCT
iogr-1205	15	27	,	,	PUNCT
iogr-1205	15	28	have	have	AUX
iogr-1205	15	29	emerged	emerge	VERB
iogr-1205	15	30	as	as	ADP
iogr-1205	15	31	an	an	DET
iogr-1205	15	32	advancement	advancement	NOUN
iogr-1205	15	33	of	of	ADP
iogr-1205	15	34	data	data	NOUN
iogr-1205	15	35	-	-	PUNCT
iogr-1205	15	36	driven	drive	VERB
iogr-1205	15	37	approach	approach	NOUN
iogr-1205	15	38	based	base	VERB
iogr-1205	15	39	on	on	ADP
iogr-1205	15	40	artificial	artificial	ADJ
iogr-1205	15	41	intelligence	intelligence	NOUN
iogr-1205	15	42	(	(	PUNCT
iogr-1205	15	43	yucel	yucel	PROPN
iogr-1205	15	44	et	et	NOUN
iogr-1205	15	45	al	al	PROPN
iogr-1205	15	46	2020	2020	NUM
iogr-1205	15	47	)	)	PUNCT
iogr-1205	15	48	.	.	PUNCT
iogr-1205	16	1	in	in	ADP
iogr-1205	16	2	principle	principle	NOUN
iogr-1205	16	3	,	,	PUNCT
iogr-1205	16	4	the	the	DET
iogr-1205	16	5	ml	ml	NOUN
iogr-1205	16	6	approach	approach	NOUN
iogr-1205	16	7	is	be	AUX
iogr-1205	16	8	well	well	ADV
iogr-1205	16	9	suited	suited	ADJ
iogr-1205	16	10	for	for	ADP
iogr-1205	16	11	problems	problem	NOUN
iogr-1205	16	12	which	which	PRON
iogr-1205	16	13	require	require	VERB
iogr-1205	16	14	advanced	advanced	ADJ
iogr-1205	16	15	domain	domain	NOUN
iogr-1205	16	16	knowledge	knowledge	NOUN
iogr-1205	16	17	that	that	PRON
iogr-1205	16	18	is	be	AUX
iogr-1205	16	19	hard	hard	ADJ
iogr-1205	16	20	to	to	PART
iogr-1205	16	21	gain	gain	VERB
iogr-1205	16	22	but	but	CCONJ
iogr-1205	16	23	for	for	ADP
iogr-1205	16	24	which	which	PRON
iogr-1205	16	25	plenty	plenty	NOUN
iogr-1205	16	26	of	of	ADP
iogr-1205	16	27	observed	observed	ADJ
iogr-1205	16	28	data	datum	NOUN
iogr-1205	16	29	is	be	AUX
iogr-1205	16	30	available	available	ADJ
iogr-1205	16	31	.	.	PUNCT
iogr-1205	17	1	in	in	ADP
iogr-1205	17	2	recent	recent	ADJ
iogr-1205	17	3	years	year	NOUN
iogr-1205	17	4	,	,	PUNCT
iogr-1205	17	5	various	various	ADJ
iogr-1205	17	6	ml	ml	NOUN
iogr-1205	17	7	and	and	CCONJ
iogr-1205	17	8	dl	dl	PROPN
iogr-1205	17	9	applications	application	NOUN
iogr-1205	17	10	have	have	AUX
iogr-1205	17	11	been	be	AUX
iogr-1205	17	12	applied	apply	VERB
iogr-1205	17	13	with	with	ADP
iogr-1205	17	14	great	great	ADJ
iogr-1205	17	15	success	success	NOUN
iogr-1205	17	16	in	in	ADP
iogr-1205	17	17	different	different	ADJ
iogr-1205	17	18	areas	area	NOUN
iogr-1205	17	19	of	of	ADP
iogr-1205	17	20	mailto:maicaolan@hcmut.edu.vn	mailto:maicaolan@hcmut.edu.vn	PROPN
iogr-1205	17	21	2	2	PROPN
iogr-1205	17	22	petroleum	petroleum	NOUN
iogr-1205	17	23	engineering	engineering	NOUN
iogr-1205	17	24	such	such	ADJ
iogr-1205	17	25	as	as	ADP
iogr-1205	17	26	oil	oil	NOUN
iogr-1205	17	27	production	production	NOUN
iogr-1205	17	28	optimization	optimization	NOUN
iogr-1205	17	29	(	(	PUNCT
iogr-1205	17	30	shirangi	shirangi	NOUN
iogr-1205	17	31	2012	2012	NUM
iogr-1205	17	32	)	)	PUNCT
iogr-1205	17	33	,	,	PUNCT
iogr-1205	17	34	drilling	drill	VERB
iogr-1205	17	35	hydraulics	hydraulic	NOUN
iogr-1205	17	36	prediction	prediction	NOUN
iogr-1205	17	37	and	and	CCONJ
iogr-1205	17	38	optimization	optimization	NOUN
iogr-1205	17	39	(	(	PUNCT
iogr-1205	17	40	wang	wang	PROPN
iogr-1205	17	41	and	and	CCONJ
iogr-1205	17	42	saeed	saeed	PROPN
iogr-1205	17	43	2015	2015	NUM
iogr-1205	17	44	)	)	PUNCT
iogr-1205	17	45	,	,	PUNCT
iogr-1205	17	46	ann	ann	PROPN
iogr-1205	17	47	-	-	PUNCT
iogr-1205	17	48	based	base	VERB
iogr-1205	17	49	screening	screening	NOUN
iogr-1205	17	50	tool	tool	NOUN
iogr-1205	17	51	for	for	ADP
iogr-1205	17	52	co2	co2	NOUN
iogr-1205	17	53	injection	injection	NOUN
iogr-1205	17	54	in	in	ADP
iogr-1205	17	55	naturally	naturally	ADV
iogr-1205	17	56	fractured	fracture	VERB
iogr-1205	17	57	reservoirs	reservoir	NOUN
iogr-1205	17	58	(	(	PUNCT
iogr-1205	17	59	hamam	hamam	PROPN
iogr-1205	17	60	and	and	CCONJ
iogr-1205	17	61	ertekin	ertekin	ADJ
iogr-1205	17	62	2018	2018	NUM
iogr-1205	17	63	)	)	PUNCT
iogr-1205	17	64	,	,	PUNCT
iogr-1205	17	65	interpretation	interpretation	NOUN
iogr-1205	17	66	of	of	ADP
iogr-1205	17	67	flow	flow	NOUN
iogr-1205	17	68	-	-	PUNCT
iogr-1205	17	69	rate	rate	NOUN
iogr-1205	17	70	,	,	PUNCT
iogr-1205	17	71	pressure	pressure	NOUN
iogr-1205	17	72	and	and	CCONJ
iogr-1205	17	73	temperature	temperature	NOUN
iogr-1205	17	74	data	datum	NOUN
iogr-1205	17	75	(	(	PUNCT
iogr-1205	17	76	tian	tian	ADJ
iogr-1205	17	77	and	and	CCONJ
iogr-1205	17	78	horne	horne	ADJ
iogr-1205	17	79	2019	2019	NUM
iogr-1205	17	80	)	)	PUNCT
iogr-1205	17	81	,	,	PUNCT
iogr-1205	17	82	monitoring	monitor	VERB
iogr-1205	17	83	oi	oi	ADP
iogr-1205	17	84	production	production	NOUN
iogr-1205	17	85	rate	rate	NOUN
iogr-1205	17	86	(	(	PUNCT
iogr-1205	17	87	khan	khan	PROPN
iogr-1205	17	88	et	et	PROPN
iogr-1205	17	89	al	al	PROPN
iogr-1205	17	90	.	.	PROPN
iogr-1205	17	91	2019	2019	NUM
iogr-1205	17	92	)	)	PUNCT
iogr-1205	17	93	,	,	PUNCT
iogr-1205	17	94	reservoir	reservoir	NOUN
iogr-1205	17	95	characterization	characterization	NOUN
iogr-1205	17	96	and	and	CCONJ
iogr-1205	17	97	modeling	modeling	NOUN
iogr-1205	17	98	(	(	PUNCT
iogr-1205	17	99	lan	lan	NOUN
iogr-1205	17	100	and	and	CCONJ
iogr-1205	17	101	le	le	SYM
iogr-1205	17	102	2019	2019	NUM
iogr-1205	17	103	;	;	PUNCT
iogr-1205	17	104	lan	lan	PROPN
iogr-1205	17	105	and	and	CCONJ
iogr-1205	17	106	hoa	hoa	NOUN
iogr-1205	17	107	2021	2021	NUM
iogr-1205	17	108	)	)	PUNCT
iogr-1205	17	109	,	,	PUNCT
iogr-1205	17	110	enhancement	enhancement	NOUN
iogr-1205	17	111	of	of	ADP
iogr-1205	17	112	production	production	NOUN
iogr-1205	17	113	forecast	forecast	NOUN
iogr-1205	17	114	(	(	PUNCT
iogr-1205	17	115	doan	doan	NOUN
iogr-1205	17	116	and	and	CCONJ
iogr-1205	17	117	vo	vo	NOUN
iogr-1205	17	118	2021	2021	NUM
iogr-1205	17	119	)	)	PUNCT
iogr-1205	17	120	,	,	PUNCT
iogr-1205	17	121	to	to	PART
iogr-1205	17	122	name	name	VERB
iogr-1205	17	123	just	just	ADV
iogr-1205	17	124	a	a	DET
iogr-1205	17	125	few	few	ADJ
iogr-1205	17	126	.	.	PUNCT
iogr-1205	18	1	the	the	DET
iogr-1205	18	2	objective	objective	NOUN
iogr-1205	18	3	of	of	ADP
iogr-1205	18	4	this	this	DET
iogr-1205	18	5	work	work	NOUN
iogr-1205	18	6	is	be	AUX
iogr-1205	18	7	to	to	PART
iogr-1205	18	8	examine	examine	VERB
iogr-1205	18	9	the	the	DET
iogr-1205	18	10	ability	ability	NOUN
iogr-1205	18	11	of	of	ADP
iogr-1205	18	12	different	different	ADJ
iogr-1205	18	13	machine	machine	NOUN
iogr-1205	18	14	learning	learn	VERB
iogr-1205	18	15	algorithms	algorithm	NOUN
iogr-1205	18	16	to	to	PART
iogr-1205	18	17	predict	predict	VERB
iogr-1205	18	18	oil	oil	NOUN
iogr-1205	18	19	and	and	CCONJ
iogr-1205	18	20	gas	gas	NOUN
iogr-1205	18	21	production	production	NOUN
iogr-1205	18	22	from	from	ADP
iogr-1205	18	23	historical	historical	ADJ
iogr-1205	18	24	data	datum	NOUN
iogr-1205	18	25	of	of	ADP
iogr-1205	18	26	a	a	DET
iogr-1205	18	27	well	well	ADV
iogr-1205	18	28	currently	currently	ADV
iogr-1205	18	29	producing	produce	VERB
iogr-1205	18	30	oil	oil	NOUN
iogr-1205	18	31	from	from	ADP
iogr-1205	18	32	the	the	DET
iogr-1205	18	33	field	field	NOUN
iogr-1205	18	34	x	x	PUNCT
iogr-1205	18	35	(	(	PUNCT
iogr-1205	18	36	due	due	ADP
iogr-1205	18	37	to	to	ADP
iogr-1205	18	38	the	the	DET
iogr-1205	18	39	operator	operator	NOUN
iogr-1205	18	40	’s	’s	PART
iogr-1205	18	41	requirements	requirement	NOUN
iogr-1205	18	42	,	,	PUNCT
iogr-1205	18	43	the	the	DET
iogr-1205	18	44	real	real	ADJ
iogr-1205	18	45	name	name	NOUN
iogr-1205	18	46	of	of	ADP
iogr-1205	18	47	the	the	DET
iogr-1205	18	48	field	field	NOUN
iogr-1205	18	49	of	of	ADP
iogr-1205	18	50	interest	interest	NOUN
iogr-1205	18	51	is	be	AUX
iogr-1205	18	52	not	not	PART
iogr-1205	18	53	shared	share	VERB
iogr-1205	18	54	)	)	PUNCT
iogr-1205	18	55	in	in	ADP
iogr-1205	18	56	southern	southern	ADJ
iogr-1205	18	57	vietnam	vietnam	PROPN
iogr-1205	18	58	.	.	PUNCT
iogr-1205	19	1	in	in	ADP
iogr-1205	19	2	particular	particular	ADJ
iogr-1205	19	3	,	,	PUNCT
iogr-1205	19	4	four	four	NUM
iogr-1205	19	5	classical	classical	ADJ
iogr-1205	19	6	machine	machine	NOUN
iogr-1205	19	7	learning	learn	VERB
iogr-1205	19	8	algorithms	algorithm	NOUN
iogr-1205	19	9	,	,	PUNCT
iogr-1205	19	10	including	include	VERB
iogr-1205	19	11	random	random	ADJ
iogr-1205	19	12	forest	forest	NOUN
iogr-1205	19	13	(	(	PUNCT
iogr-1205	19	14	rf	rf	NOUN
iogr-1205	19	15	)	)	PUNCT
iogr-1205	19	16	,	,	PUNCT
iogr-1205	19	17	gradient	gradient	NOUN
iogr-1205	19	18	boosting	boosting	NOUN
iogr-1205	19	19	(	(	PUNCT
iogr-1205	19	20	gb	gb	NOUN
iogr-1205	19	21	)	)	PUNCT
iogr-1205	19	22	,	,	PUNCT
iogr-1205	19	23	k	k	X
iogr-1205	19	24	-	-	PUNCT
iogr-1205	19	25	nearest	near	ADJ
iogr-1205	19	26	neighbor	neighbor	NOUN
iogr-1205	19	27	(	(	PUNCT
iogr-1205	19	28	k	k	NOUN
iogr-1205	19	29	-	-	PUNCT
iogr-1205	19	30	nn	nn	NOUN
iogr-1205	19	31	)	)	PUNCT
iogr-1205	19	32	,	,	PUNCT
iogr-1205	19	33	and	and	CCONJ
iogr-1205	19	34	support	support	VERB
iogr-1205	19	35	vector	vector	NOUN
iogr-1205	19	36	regression	regression	NOUN
iogr-1205	19	37	(	(	PUNCT
iogr-1205	19	38	svr	svr	PROPN
iogr-1205	19	39	)	)	PUNCT
iogr-1205	19	40	together	together	ADV
iogr-1205	19	41	with	with	ADP
iogr-1205	19	42	four	four	NUM
iogr-1205	19	43	advanced	advanced	ADJ
iogr-1205	19	44	models	model	NOUN
iogr-1205	19	45	,	,	PUNCT
iogr-1205	19	46	namely	namely	ADV
iogr-1205	19	47	multilayer	multilayer	ADJ
iogr-1205	19	48	perceptron	perceptron	PROPN
iogr-1205	19	49	(	(	PUNCT
iogr-1205	19	50	mlp	mlp	PROPN
iogr-1205	19	51	)	)	PUNCT
iogr-1205	19	52	,	,	PUNCT
iogr-1205	19	53	convolutional	convolutional	ADJ
iogr-1205	19	54	neural	neural	ADJ
iogr-1205	19	55	network	network	NOUN
iogr-1205	19	56	(	(	PUNCT
iogr-1205	19	57	cnn	cnn	PROPN
iogr-1205	19	58	)	)	PUNCT
iogr-1205	19	59	,	,	PUNCT
iogr-1205	19	60	recurrent	recurrent	ADJ
iogr-1205	19	61	neural	neural	ADJ
iogr-1205	19	62	network	network	NOUN
iogr-1205	19	63	(	(	PUNCT
iogr-1205	19	64	rnn	rnn	PROPN
iogr-1205	19	65	)	)	PUNCT
iogr-1205	19	66	,	,	PUNCT
iogr-1205	19	67	long	long	ADJ
iogr-1205	19	68	short	short	ADJ
iogr-1205	19	69	-	-	PUNCT
iogr-1205	19	70	term	term	NOUN
iogr-1205	19	71	memory	memory	NOUN
iogr-1205	19	72	(	(	PUNCT
iogr-1205	19	73	lstm	lstm	NOUN
iogr-1205	19	74	)	)	PUNCT
iogr-1205	19	75	,	,	PUNCT
iogr-1205	19	76	and	and	CCONJ
iogr-1205	19	77	gated	gate	VERB
iogr-1205	19	78	recurrent	recurrent	ADJ
iogr-1205	19	79	unit	unit	NOUN
iogr-1205	19	80	(	(	PUNCT
iogr-1205	19	81	gru	gru	PROPN
iogr-1205	19	82	)	)	PUNCT
iogr-1205	19	83	have	have	AUX
iogr-1205	19	84	been	be	AUX
iogr-1205	19	85	studied	study	VERB
iogr-1205	19	86	for	for	ADP
iogr-1205	19	87	efficiency	efficiency	NOUN
iogr-1205	19	88	comparison	comparison	NOUN
iogr-1205	19	89	.	.	PUNCT
iogr-1205	20	1	the	the	DET
iogr-1205	20	2	remaining	remain	VERB
iogr-1205	20	3	parts	part	NOUN
iogr-1205	20	4	of	of	ADP
iogr-1205	20	5	this	this	DET
iogr-1205	20	6	paper	paper	NOUN
iogr-1205	20	7	is	be	AUX
iogr-1205	20	8	organized	organize	VERB
iogr-1205	20	9	as	as	SCONJ
iogr-1205	20	10	follows	follow	VERB
iogr-1205	20	11	.	.	PUNCT
iogr-1205	21	1	section	section	NOUN
iogr-1205	21	2	2	2	NUM
iogr-1205	21	3	briefly	briefly	NOUN
iogr-1205	21	4	presents	present	VERB
iogr-1205	21	5	the	the	DET
iogr-1205	21	6	background	background	NOUN
iogr-1205	21	7	and	and	CCONJ
iogr-1205	21	8	workflow	workflow	NOUN
iogr-1205	21	9	to	to	PART
iogr-1205	21	10	implement	implement	VERB
iogr-1205	21	11	machine	machine	NOUN
iogr-1205	21	12	learning	learn	VERB
iogr-1205	21	13	algorithms	algorithm	NOUN
iogr-1205	21	14	for	for	ADP
iogr-1205	21	15	petroleum	petroleum	NOUN
iogr-1205	21	16	production	production	NOUN
iogr-1205	21	17	forecasting	forecasting	NOUN
iogr-1205	21	18	.	.	PUNCT
iogr-1205	22	1	section	section	NOUN
iogr-1205	22	2	3	3	NUM
iogr-1205	22	3	presents	present	NOUN
iogr-1205	22	4	and	and	CCONJ
iogr-1205	22	5	discusses	discuss	VERB
iogr-1205	22	6	the	the	DET
iogr-1205	22	7	results	result	NOUN
iogr-1205	22	8	from	from	ADP
iogr-1205	22	9	this	this	DET
iogr-1205	22	10	comparative	comparative	ADJ
iogr-1205	22	11	study	study	NOUN
iogr-1205	22	12	.	.	PUNCT
iogr-1205	23	1	section	section	NOUN
iogr-1205	23	2	4	4	NUM
iogr-1205	23	3	summarizes	summarize	NOUN
iogr-1205	23	4	the	the	DET
iogr-1205	23	5	main	main	ADJ
iogr-1205	23	6	points	point	NOUN
iogr-1205	23	7	of	of	ADP
iogr-1205	23	8	this	this	DET
iogr-1205	23	9	study	study	NOUN
iogr-1205	23	10	along	along	ADP
iogr-1205	23	11	with	with	ADP
iogr-1205	23	12	some	some	DET
iogr-1205	23	13	concluding	conclude	VERB
iogr-1205	23	14	remarks	remark	NOUN
iogr-1205	23	15	on	on	ADP
iogr-1205	23	16	the	the	DET
iogr-1205	23	17	performance	performance	NOUN
iogr-1205	23	18	of	of	ADP
iogr-1205	23	19	the	the	DET
iogr-1205	23	20	different	different	ADJ
iogr-1205	23	21	algorithms	algorithm	NOUN
iogr-1205	23	22	under	under	ADP
iogr-1205	23	23	consideration	consideration	NOUN
iogr-1205	23	24	.	.	PUNCT
iogr-1205	24	1	methodology	methodology	NOUN
iogr-1205	24	2	this	this	DET
iogr-1205	24	3	section	section	NOUN
iogr-1205	24	4	briefly	briefly	NOUN
iogr-1205	24	5	presents	present	VERB
iogr-1205	24	6	the	the	DET
iogr-1205	24	7	background	background	NOUN
iogr-1205	24	8	of	of	ADP
iogr-1205	24	9	the	the	DET
iogr-1205	24	10	machine	machine	NOUN
iogr-1205	24	11	learning	learn	VERB
iogr-1205	24	12	algorithms	algorithm	NOUN
iogr-1205	24	13	used	use	VERB
iogr-1205	24	14	in	in	ADP
iogr-1205	24	15	this	this	DET
iogr-1205	24	16	work	work	NOUN
iogr-1205	24	17	.	.	PUNCT
iogr-1205	25	1	the	the	DET
iogr-1205	25	2	classical	classical	ADJ
iogr-1205	25	3	ml	ml	NOUN
iogr-1205	25	4	algorithms	algorithm	NOUN
iogr-1205	25	5	under	under	ADP
iogr-1205	25	6	consideration	consideration	NOUN
iogr-1205	25	7	include	include	VERB
iogr-1205	25	8	:	:	PUNCT
iogr-1205	25	9			X
iogr-1205	26	1	k	k	X
iogr-1205	26	2	-	-	PUNCT
iogr-1205	26	3	nearest	near	ADJ
iogr-1205	26	4	neighbors	neighbor	NOUN
iogr-1205	26	5	,	,	PUNCT
iogr-1205	26	6	k	k	PROPN
iogr-1205	26	7	-	-	PUNCT
iogr-1205	26	8	nn	nn	ADJ
iogr-1205	26	9	(	(	PUNCT
iogr-1205	26	10	cover	cover	NOUN
iogr-1205	26	11	and	and	CCONJ
iogr-1205	26	12	hart	hart	PROPN
iogr-1205	26	13	1967	1967	NUM
iogr-1205	26	14	)	)	PUNCT
iogr-1205	27	1			NOUN
iogr-1205	27	2	random	random	ADJ
iogr-1205	27	3	forest	forest	NOUN
iogr-1205	27	4	,	,	PUNCT
iogr-1205	27	5	rf	rf	ADJ
iogr-1205	27	6	(	(	PUNCT
iogr-1205	27	7	breiman	breiman	NOUN
iogr-1205	27	8	2001	2001	NUM
iogr-1205	27	9	)	)	PUNCT
iogr-1205	27	10			NOUN
iogr-1205	27	11	gradient	gradient	NOUN
iogr-1205	27	12	boosting	boosting	NOUN
iogr-1205	27	13	,	,	PUNCT
iogr-1205	27	14	gb	gb	PRON
iogr-1205	27	15	(	(	PUNCT
iogr-1205	27	16	friedman	friedman	PROPN
iogr-1205	27	17	2001	2001	NUM
iogr-1205	27	18	)	)	PUNCT
iogr-1205	27	19			NOUN
iogr-1205	28	1	support	support	NOUN
iogr-1205	28	2	vector	vector	NOUN
iogr-1205	28	3	regression	regression	NOUN
iogr-1205	28	4	,	,	PUNCT
iogr-1205	28	5	svr	svr	PROPN
iogr-1205	28	6	(	(	PUNCT
iogr-1205	28	7	drucker	drucker	NOUN
iogr-1205	28	8	et	et	PROPN
iogr-1205	28	9	al	al	PROPN
iogr-1205	28	10	.	.	PROPN
iogr-1205	28	11	1997	1997	NUM
iogr-1205	28	12	)	)	PUNCT
iogr-1205	28	13	the	the	DET
iogr-1205	28	14	more	more	ADV
iogr-1205	28	15	advanced	advanced	ADJ
iogr-1205	28	16	algorithms	algorithm	NOUN
iogr-1205	28	17	associated	associate	VERB
iogr-1205	28	18	with	with	ADP
iogr-1205	28	19	the	the	DET
iogr-1205	28	20	following	follow	VERB
iogr-1205	28	21	deep	deep	ADJ
iogr-1205	28	22	neural	neural	ADJ
iogr-1205	28	23	networks	network	NOUN
iogr-1205	28	24	are	be	AUX
iogr-1205	28	25	also	also	ADV
iogr-1205	28	26	studied	study	VERB
iogr-1205	28	27	in	in	ADP
iogr-1205	28	28	this	this	DET
iogr-1205	28	29	work	work	NOUN
iogr-1205	28	30	:	:	PUNCT
iogr-1205	28	31			NOUN
iogr-1205	28	32	multilayer	multilayer	PROPN
iogr-1205	28	33	perceptron	perceptron	PROPN
iogr-1205	28	34	,	,	PUNCT
iogr-1205	28	35	mlp	mlp	PROPN
iogr-1205	28	36	(	(	PUNCT
iogr-1205	28	37	cheng	cheng	PROPN
iogr-1205	28	38	and	and	CCONJ
iogr-1205	28	39	titterington	titterington	PROPN
iogr-1205	28	40	1994	1994	NUM
iogr-1205	28	41	)	)	PUNCT
iogr-1205	29	1			NOUN
iogr-1205	29	2	convolutional	convolutional	ADJ
iogr-1205	29	3	neural	neural	ADJ
iogr-1205	29	4	network	network	NOUN
iogr-1205	29	5	,	,	PUNCT
iogr-1205	29	6	cnn	cnn	PROPN
iogr-1205	29	7	(	(	PUNCT
iogr-1205	29	8	lecun	lecun	PROPN
iogr-1205	29	9	1989	1989	NUM
iogr-1205	29	10	)	)	PUNCT
iogr-1205	29	11			PUNCT
iogr-1205	30	1	long	long	ADJ
iogr-1205	30	2	short	short	ADJ
iogr-1205	30	3	-	-	PUNCT
iogr-1205	30	4	term	term	NOUN
iogr-1205	30	5	memory	memory	NOUN
iogr-1205	30	6	,	,	PUNCT
iogr-1205	30	7	lstm	lstm	NOUN
iogr-1205	30	8	(	(	PUNCT
iogr-1205	30	9	hochreiter	hochreiter	PROPN
iogr-1205	30	10	and	and	CCONJ
iogr-1205	30	11	schmidhuber	schmidhuber	NOUN
iogr-1205	30	12	1997	1997	NUM
iogr-1205	30	13	)	)	PUNCT
iogr-1205	31	1			NOUN
iogr-1205	31	2	gated	gate	VERB
iogr-1205	31	3	recurrent	recurrent	ADJ
iogr-1205	31	4	unit	unit	NOUN
iogr-1205	31	5	,	,	PUNCT
iogr-1205	31	6	gru	gru	PROPN
iogr-1205	31	7	(	(	PUNCT
iogr-1205	31	8	chung	chung	PROPN
iogr-1205	31	9	et	et	PROPN
iogr-1205	31	10	al	al	PROPN
iogr-1205	31	11	.	.	PROPN
iogr-1205	31	12	2014	2014	NUM
iogr-1205	31	13	)	)	PUNCT
iogr-1205	31	14	the	the	DET
iogr-1205	31	15	workflow	workflow	NOUN
iogr-1205	31	16	for	for	ADP
iogr-1205	31	17	our	our	PRON
iogr-1205	31	18	comparative	comparative	ADJ
iogr-1205	31	19	study	study	NOUN
iogr-1205	31	20	on	on	ADP
iogr-1205	31	21	aforementioned	aforementioned	ADJ
iogr-1205	31	22	algorithms	algorithm	NOUN
iogr-1205	31	23	in	in	ADP
iogr-1205	31	24	this	this	DET
iogr-1205	31	25	study	study	NOUN
iogr-1205	31	26	consists	consist	VERB
iogr-1205	31	27	of	of	ADP
iogr-1205	31	28	the	the	DET
iogr-1205	31	29	following	follow	VERB
iogr-1205	31	30	steps	step	NOUN
iogr-1205	31	31	:	:	PUNCT
iogr-1205	31	32	step	step	NOUN
iogr-1205	31	33	1	1	NUM
iogr-1205	31	34	:	:	PUNCT
iogr-1205	31	35	data	datum	NOUN
iogr-1205	31	36	preparation	preparation	NOUN
iogr-1205	31	37			NOUN
iogr-1205	31	38	outlier	outlier	NOUN
iogr-1205	31	39	detection	detection	NOUN
iogr-1205	31	40	:	:	PUNCT
iogr-1205	31	41	this	this	DET
iogr-1205	31	42	task	task	NOUN
iogr-1205	31	43	is	be	AUX
iogr-1205	31	44	to	to	PART
iogr-1205	31	45	properly	properly	ADV
iogr-1205	31	46	detect	detect	VERB
iogr-1205	31	47	and	and	CCONJ
iogr-1205	31	48	handle	handle	VERB
iogr-1205	31	49	outliers	outlier	NOUN
iogr-1205	31	50	to	to	PART
iogr-1205	31	51	ensure	ensure	VERB
iogr-1205	31	52	that	that	SCONJ
iogr-1205	31	53	our	our	PRON
iogr-1205	31	54	data	datum	NOUN
iogr-1205	31	55	is	be	AUX
iogr-1205	31	56	statistically	statistically	ADV
iogr-1205	31	57	significant	significant	ADJ
iogr-1205	31	58	.	.	PUNCT
iogr-1205	32	1			PRON
iogr-1205	32	2	data	datum	NOUN
iogr-1205	32	3	scaling	scale	VERB
iogr-1205	32	4	:	:	PUNCT
iogr-1205	32	5	all	all	DET
iogr-1205	32	6	data	datum	NOUN
iogr-1205	32	7	values	value	NOUN
iogr-1205	32	8	are	be	AUX
iogr-1205	32	9	scaled	scale	VERB
iogr-1205	32	10	into	into	ADP
iogr-1205	32	11	the	the	DET
iogr-1205	32	12	fixed	fix	VERB
iogr-1205	32	13	range	range	NOUN
iogr-1205	32	14	to	to	PART
iogr-1205	32	15	prevent	prevent	VERB
iogr-1205	32	16	the	the	DET
iogr-1205	32	17	learning	learn	VERB
iogr-1205	32	18	algorithms	algorithm	NOUN
iogr-1205	32	19	from	from	ADP
iogr-1205	32	20	being	be	AUX
iogr-1205	32	21	biased	bias	VERB
iogr-1205	32	22	to	to	ADP
iogr-1205	32	23	greater	great	ADJ
iogr-1205	32	24	magnitudes	magnitude	NOUN
iogr-1205	32	25	of	of	ADP
iogr-1205	32	26	the	the	DET
iogr-1205	32	27	data	datum	NOUN
iogr-1205	32	28	,	,	PUNCT
iogr-1205	32	29	especially	especially	ADV
iogr-1205	32	30	in	in	ADP
iogr-1205	32	31	those	those	DET
iogr-1205	32	32	algorithms	algorithm	NOUN
iogr-1205	32	33	that	that	PRON
iogr-1205	32	34	leverage	leverage	NOUN
iogr-1205	32	35	similarities	similarity	NOUN
iogr-1205	32	36	between	between	ADP
iogr-1205	32	37	samples	sample	NOUN
iogr-1205	32	38	such	such	ADJ
iogr-1205	32	39	as	as	ADP
iogr-1205	32	40	k	k	PROPN
iogr-1205	32	41	-	-	PUNCT
iogr-1205	32	42	nn	nn	PROPN
iogr-1205	32	43	,	,	PUNCT
iogr-1205	32	44	svr	svr	PROPN
iogr-1205	32	45	,	,	PUNCT
iogr-1205	32	46	etc	etc	X
iogr-1205	32	47	.	.	X
iogr-1205	32	48	…	…	PUNCT
iogr-1205	32	49			PRON
iogr-1205	32	50	cross	cross	VERB
iogr-1205	32	51	validation	validation	NOUN
iogr-1205	32	52	:	:	PUNCT
iogr-1205	32	53	the	the	DET
iogr-1205	32	54	main	main	ADJ
iogr-1205	32	55	concern	concern	NOUN
iogr-1205	32	56	in	in	ADP
iogr-1205	32	57	regression	regression	NOUN
iogr-1205	32	58	is	be	AUX
iogr-1205	32	59	the	the	DET
iogr-1205	32	60	ability	ability	NOUN
iogr-1205	32	61	of	of	ADP
iogr-1205	32	62	the	the	DET
iogr-1205	32	63	trained	train	VERB
iogr-1205	32	64	model	model	NOUN
iogr-1205	32	65	to	to	PART
iogr-1205	32	66	perform	perform	VERB
iogr-1205	32	67	on	on	ADP
iogr-1205	32	68	unseen	unseen	ADJ
iogr-1205	32	69	data	datum	NOUN
iogr-1205	32	70	.	.	PUNCT
iogr-1205	33	1	for	for	ADP
iogr-1205	33	2	a	a	DET
iogr-1205	33	3	valid	valid	ADJ
iogr-1205	33	4	performance	performance	NOUN
iogr-1205	33	5	evaluation	evaluation	NOUN
iogr-1205	33	6	,	,	PUNCT
iogr-1205	33	7	the	the	DET
iogr-1205	33	8	dataset	dataset	NOUN
iogr-1205	33	9	is	be	AUX
iogr-1205	33	10	splitted	splitte	VERB
iogr-1205	33	11	into	into	ADP
iogr-1205	33	12	training	training	NOUN
iogr-1205	33	13	,	,	PUNCT
iogr-1205	33	14	validating	validate	VERB
iogr-1205	33	15	and	and	CCONJ
iogr-1205	33	16	testing	testing	NOUN
iogr-1205	33	17	subsets	subset	NOUN
iogr-1205	33	18	.	.	PUNCT
iogr-1205	34	1	in	in	ADP
iogr-1205	34	2	addition	addition	NOUN
iogr-1205	34	3	,	,	PUNCT
iogr-1205	34	4	the	the	DET
iogr-1205	34	5	testing	testing	NOUN
iogr-1205	34	6	set	set	NOUN
iogr-1205	34	7	is	be	AUX
iogr-1205	34	8	not	not	PART
iogr-1205	34	9	used	use	VERB
iogr-1205	34	10	for	for	ADP
iogr-1205	34	11	model	model	NOUN
iogr-1205	34	12	construction	construction	NOUN
iogr-1205	34	13	.	.	PUNCT
iogr-1205	35	1			PRON
iogr-1205	35	2	autoregression	autoregression	NOUN
iogr-1205	35	3	modeling	modeling	NOUN
iogr-1205	35	4	:	:	PUNCT
iogr-1205	35	5	for	for	ADP
iogr-1205	35	6	time	time	NOUN
iogr-1205	35	7	series	series	PROPN
iogr-1205	35	8	data	data	PROPN
iogr-1205	35	9	,	,	PUNCT
iogr-1205	35	10	the	the	DET
iogr-1205	35	11	future	future	ADJ
iogr-1205	35	12	value	value	NOUN
iogr-1205	35	13	of	of	ADP
iogr-1205	35	14	a	a	DET
iogr-1205	35	15	variable	variable	NOUN
iogr-1205	35	16	,	,	PUNCT
iogr-1205	35	17	yt	yt	PROPN
iogr-1205	35	18	,	,	PUNCT
iogr-1205	35	19	can	can	AUX
iogr-1205	35	20	be	be	AUX
iogr-1205	35	21	predicted	predict	VERB
iogr-1205	35	22	using	use	VERB
iogr-1205	35	23	a	a	DET
iogr-1205	35	24	linear	linear	ADJ
iogr-1205	35	25	combination	combination	NOUN
iogr-1205	35	26	of	of	ADP
iogr-1205	35	27	its	its	PRON
iogr-1205	35	28	past	past	ADJ
iogr-1205	35	29	values	value	NOUN
iogr-1205	35	30	as	as	SCONJ
iogr-1205	35	31	follows	follow	VERB
iogr-1205	35	32	(	(	PUNCT
iogr-1205	35	33	paolella	paolella	NOUN
iogr-1205	35	34	2019	2019	NUM
iogr-1205	35	35	)	)	PUNCT
iogr-1205	35	36	.	.	PUNCT
iogr-1205	36	1	yt	yt	PROPN
iogr-1205	37	1	=	=	SYM
iogr-1205	37	2	β0	β0	PROPN
iogr-1205	37	3	+	+	NUM
iogr-1205	37	4	β1yt−1	β1yt−1	X
iogr-1205	38	1	+	+	CCONJ
iogr-1205	38	2	β2yt−2	β2yt−2	NUM
iogr-1205	38	3	+	+	NOUN
iogr-1205	38	4	⋯+	⋯+	NOUN
iogr-1205	38	5	βpyt−p	βpyt−p	VERB
iogr-1205	38	6	+	+	CCONJ
iogr-1205	38	7	ϵt	ϵt	ADP
iogr-1205	38	8	,	,	PUNCT
iogr-1205	38	9	.................................................................................	.................................................................................	PUNCT
iogr-1205	38	10	(	(	PUNCT
iogr-1205	38	11	1	1	X
iogr-1205	38	12	)	)	PUNCT
iogr-1205	38	13	where	where	SCONJ
iogr-1205	38	14	βi	βi	PROPN
iogr-1205	38	15	(	(	PUNCT
iogr-1205	38	16	i=0	i=0	PROPN
iogr-1205	38	17	,	,	PUNCT
iogr-1205	38	18	1	1	NUM
iogr-1205	38	19	,	,	PUNCT
iogr-1205	38	20	2	2	NUM
iogr-1205	38	21	...	...	PUNCT
iogr-1205	38	22	p	p	X
iogr-1205	38	23	)	)	PUNCT
iogr-1205	38	24	are	be	AUX
iogr-1205	38	25	regression	regression	NOUN
iogr-1205	38	26	constants	constant	NOUN
iogr-1205	38	27	,	,	PUNCT
iogr-1205	38	28	yt−p	yt−p	PROPN
iogr-1205	38	29	is	be	AUX
iogr-1205	38	30	the	the	DET
iogr-1205	38	31	value	value	NOUN
iogr-1205	38	32	of	of	ADP
iogr-1205	38	33	y	y	PROPN
iogr-1205	38	34	at	at	ADP
iogr-1205	38	35	time	time	NOUN
iogr-1205	38	36	(	(	PUNCT
iogr-1205	38	37	t	t	NOUN
iogr-1205	38	38	-	-	PUNCT
iogr-1205	38	39	p	p	NOUN
iogr-1205	38	40	)	)	PUNCT
iogr-1205	38	41	in	in	ADP
iogr-1205	38	42	the	the	DET
iogr-1205	38	43	past	past	NOUN
iogr-1205	38	44	,	,	PUNCT
iogr-1205	38	45	and	and	CCONJ
iogr-1205	38	46	ϵt	ϵt	NOUN
iogr-1205	38	47	is	be	AUX
iogr-1205	38	48	the	the	DET
iogr-1205	38	49	noise	noise	NOUN
iogr-1205	38	50	.	.	PUNCT
iogr-1205	39	1	3	3	NUM
iogr-1205	39	2	step	step	NOUN
iogr-1205	39	3	2	2	NUM
iogr-1205	39	4	:	:	PUNCT
iogr-1205	39	5	model	model	NOUN
iogr-1205	39	6	construction	construction	NOUN
iogr-1205	39	7	in	in	ADP
iogr-1205	39	8	this	this	DET
iogr-1205	39	9	step	step	NOUN
iogr-1205	39	10	,	,	PUNCT
iogr-1205	39	11	several	several	ADJ
iogr-1205	39	12	classical	classical	ADJ
iogr-1205	39	13	ml	ml	NOUN
iogr-1205	39	14	and	and	CCONJ
iogr-1205	39	15	dl	dl	PROPN
iogr-1205	39	16	networks	network	NOUN
iogr-1205	39	17	are	be	AUX
iogr-1205	39	18	constructed	construct	VERB
iogr-1205	39	19	with	with	ADP
iogr-1205	39	20	the	the	DET
iogr-1205	39	21	training	training	NOUN
iogr-1205	39	22	dataset	dataset	VERB
iogr-1205	39	23	through	through	ADP
iogr-1205	39	24	which	which	PRON
iogr-1205	39	25	the	the	DET
iogr-1205	39	26	model	model	NOUN
iogr-1205	39	27	parameters	parameter	NOUN
iogr-1205	39	28	are	be	AUX
iogr-1205	39	29	tuned	tune	VERB
iogr-1205	39	30	to	to	PART
iogr-1205	39	31	minimize	minimize	VERB
iogr-1205	39	32	the	the	DET
iogr-1205	39	33	loss	loss	NOUN
iogr-1205	39	34	functions	function	NOUN
iogr-1205	39	35	.	.	PUNCT
iogr-1205	40	1	the	the	DET
iogr-1205	40	2	validation	validation	NOUN
iogr-1205	40	3	set	set	NOUN
iogr-1205	40	4	is	be	AUX
iogr-1205	40	5	used	use	VERB
iogr-1205	40	6	to	to	PART
iogr-1205	40	7	adjust	adjust	VERB
iogr-1205	40	8	the	the	DET
iogr-1205	40	9	hyperparameters	hyperparameter	NOUN
iogr-1205	40	10	of	of	ADP
iogr-1205	40	11	the	the	DET
iogr-1205	40	12	network	network	NOUN
iogr-1205	40	13	during	during	ADP
iogr-1205	40	14	the	the	DET
iogr-1205	40	15	training	training	NOUN
iogr-1205	40	16	process	process	NOUN
iogr-1205	40	17	.	.	PUNCT
iogr-1205	41	1	step	step	NOUN
iogr-1205	41	2	3	3	NUM
iogr-1205	41	3	:	:	PUNCT
iogr-1205	41	4	model	model	NOUN
iogr-1205	41	5	testing	test	VERB
iogr-1205	41	6	the	the	DET
iogr-1205	41	7	trained	train	VERB
iogr-1205	41	8	models	model	NOUN
iogr-1205	41	9	are	be	AUX
iogr-1205	41	10	tested	test	VERB
iogr-1205	41	11	in	in	ADP
iogr-1205	41	12	this	this	DET
iogr-1205	41	13	step	step	NOUN
iogr-1205	41	14	with	with	ADP
iogr-1205	41	15	the	the	DET
iogr-1205	41	16	blind	blind	ADJ
iogr-1205	41	17	test	test	NOUN
iogr-1205	41	18	dataset	dataset	VERB
iogr-1205	41	19	for	for	ADP
iogr-1205	41	20	performance	performance	NOUN
iogr-1205	41	21	evaluation	evaluation	NOUN
iogr-1205	41	22	.	.	PUNCT
iogr-1205	42	1	different	different	ADJ
iogr-1205	42	2	performance	performance	NOUN
iogr-1205	42	3	metrics	metric	NOUN
iogr-1205	42	4	are	be	AUX
iogr-1205	42	5	calculated	calculate	VERB
iogr-1205	42	6	including	include	VERB
iogr-1205	42	7	the	the	DET
iogr-1205	42	8	mean	mean	ADJ
iogr-1205	42	9	squared	square	VERB
iogr-1205	42	10	error	error	NOUN
iogr-1205	42	11	(	(	PUNCT
iogr-1205	42	12	mse	mse	NOUN
iogr-1205	42	13	)	)	PUNCT
iogr-1205	42	14	,	,	PUNCT
iogr-1205	42	15	mean	mean	VERB
iogr-1205	42	16	absolute	absolute	ADJ
iogr-1205	42	17	error	error	NOUN
iogr-1205	42	18	(	(	PUNCT
iogr-1205	42	19	mae	mae	PROPN
iogr-1205	42	20	)	)	PUNCT
iogr-1205	42	21	.	.	PUNCT
iogr-1205	43	1	results	result	NOUN
iogr-1205	43	2	and	and	CCONJ
iogr-1205	43	3	discussion	discussion	NOUN
iogr-1205	43	4	three	three	NUM
iogr-1205	43	5	test	test	NOUN
iogr-1205	43	6	cases	case	NOUN
iogr-1205	43	7	have	have	AUX
iogr-1205	43	8	been	be	AUX
iogr-1205	43	9	performed	perform	VERB
iogr-1205	43	10	with	with	ADP
iogr-1205	43	11	different	different	ADJ
iogr-1205	43	12	classical	classical	ADJ
iogr-1205	43	13	machine	machine	NOUN
iogr-1205	43	14	learning	learning	NOUN
iogr-1205	43	15	and	and	CCONJ
iogr-1205	43	16	deep	deep	ADJ
iogr-1205	43	17	learning	learning	NOUN
iogr-1205	43	18	algorithms	algorithm	NOUN
iogr-1205	43	19	in	in	ADP
iogr-1205	43	20	this	this	DET
iogr-1205	43	21	work	work	NOUN
iogr-1205	43	22	.	.	PUNCT
iogr-1205	44	1	the	the	DET
iogr-1205	44	2	objective	objective	NOUN
iogr-1205	44	3	of	of	ADP
iogr-1205	44	4	these	these	DET
iogr-1205	44	5	test	test	NOUN
iogr-1205	44	6	cases	case	NOUN
iogr-1205	44	7	is	be	AUX
iogr-1205	44	8	to	to	PART
iogr-1205	44	9	examine	examine	VERB
iogr-1205	44	10	the	the	DET
iogr-1205	44	11	performance	performance	NOUN
iogr-1205	44	12	efficiency	efficiency	NOUN
iogr-1205	44	13	of	of	ADP
iogr-1205	44	14	those	those	DET
iogr-1205	44	15	algorithms	algorithm	NOUN
iogr-1205	44	16	in	in	ADP
iogr-1205	44	17	production	production	NOUN
iogr-1205	44	18	forecasting	forecasting	NOUN
iogr-1205	44	19	on	on	ADP
iogr-1205	44	20	an	an	DET
iogr-1205	44	21	oil	oil	NOUN
iogr-1205	44	22	well	well	NOUN
iogr-1205	44	23	currently	currently	ADV
iogr-1205	44	24	producing	produce	VERB
iogr-1205	44	25	from	from	ADP
iogr-1205	44	26	the	the	DET
iogr-1205	44	27	oilfield	oilfield	NOUN
iogr-1205	44	28	x	x	PUNCT
iogr-1205	44	29	in	in	ADP
iogr-1205	44	30	southern	southern	ADJ
iogr-1205	44	31	vietnam	vietnam	PROPN
iogr-1205	44	32	.	.	PUNCT
iogr-1205	45	1	the	the	DET
iogr-1205	45	2	historical	historical	ADJ
iogr-1205	45	3	production	production	NOUN
iogr-1205	45	4	data	datum	NOUN
iogr-1205	45	5	includes	include	VERB
iogr-1205	45	6	the	the	DET
iogr-1205	45	7	flow	flow	NOUN
iogr-1205	45	8	rates	rate	NOUN
iogr-1205	45	9	of	of	ADP
iogr-1205	45	10	oil	oil	NOUN
iogr-1205	45	11	,	,	PUNCT
iogr-1205	45	12	gas	gas	NOUN
iogr-1205	45	13	,	,	PUNCT
iogr-1205	45	14	water	water	NOUN
iogr-1205	45	15	and	and	CCONJ
iogr-1205	45	16	the	the	DET
iogr-1205	45	17	bottom	bottom	ADJ
iogr-1205	45	18	-	-	PUNCT
iogr-1205	45	19	hole	hole	NOUN
iogr-1205	45	20	pressures	pressure	NOUN
iogr-1205	45	21	collected	collect	VERB
iogr-1205	45	22	at	at	ADP
iogr-1205	45	23	more	more	ADJ
iogr-1205	45	24	than	than	ADP
iogr-1205	45	25	a	a	DET
iogr-1205	45	26	thousand	thousand	NUM
iogr-1205	45	27	points	point	NOUN
iogr-1205	45	28	in	in	ADP
iogr-1205	45	29	time	time	NOUN
iogr-1205	45	30	.	.	PUNCT
iogr-1205	46	1	test	test	NOUN
iogr-1205	46	2	case	case	NOUN
iogr-1205	46	3	1	1	NUM
iogr-1205	46	4	:	:	PUNCT
iogr-1205	46	5	four	four	NUM
iogr-1205	46	6	classical	classical	ADJ
iogr-1205	46	7	machine	machine	NOUN
iogr-1205	46	8	learning	learn	VERB
iogr-1205	46	9	algorithms	algorithm	NOUN
iogr-1205	46	10	including	include	VERB
iogr-1205	46	11	k	k	PROPN
iogr-1205	46	12	-	-	PUNCT
iogr-1205	46	13	nn	nn	ADJ
iogr-1205	46	14	,	,	PUNCT
iogr-1205	46	15	rf	rf	NOUN
iogr-1205	46	16	,	,	PUNCT
iogr-1205	46	17	gb	gb	PRON
iogr-1205	46	18	,	,	PUNCT
iogr-1205	46	19	svr	svr	PROPN
iogr-1205	46	20	have	have	AUX
iogr-1205	46	21	been	be	AUX
iogr-1205	46	22	studied	study	VERB
iogr-1205	46	23	in	in	ADP
iogr-1205	46	24	this	this	DET
iogr-1205	46	25	test	test	NOUN
iogr-1205	46	26	case	case	NOUN
iogr-1205	46	27	.	.	PUNCT
iogr-1205	47	1	all	all	DET
iogr-1205	47	2	models	model	NOUN
iogr-1205	47	3	have	have	VERB
iogr-1205	47	4	one	one	NUM
iogr-1205	47	5	single	single	ADJ
iogr-1205	47	6	output	output	NOUN
iogr-1205	47	7	which	which	PRON
iogr-1205	47	8	is	be	AUX
iogr-1205	47	9	the	the	DET
iogr-1205	47	10	bottom	bottom	ADJ
iogr-1205	47	11	-	-	PUNCT
iogr-1205	47	12	hole	hole	NOUN
iogr-1205	47	13	pressure	pressure	NOUN
iogr-1205	47	14	difference	difference	NOUN
iogr-1205	47	15	between	between	ADP
iogr-1205	47	16	a	a	DET
iogr-1205	47	17	particular	particular	ADJ
iogr-1205	47	18	time	time	NOUN
iogr-1205	47	19	of	of	ADP
iogr-1205	47	20	interest	interest	NOUN
iogr-1205	47	21	and	and	CCONJ
iogr-1205	47	22	the	the	DET
iogr-1205	47	23	initial	initial	ADJ
iogr-1205	47	24	time	time	NOUN
iogr-1205	47	25	(	(	PUNCT
iogr-1205	47	26	δ	δ	PROPN
iogr-1205	47	27	�	�	PROPN
iogr-1205	47	28	)	)	PUNCT
iogr-1205	47	29	.	.	PUNCT
iogr-1205	48	1	as	as	SCONJ
iogr-1205	48	2	can	can	AUX
iogr-1205	48	3	be	be	AUX
iogr-1205	48	4	seen	see	VERB
iogr-1205	48	5	from	from	ADP
iogr-1205	48	6	figure	figure	NOUN
iogr-1205	48	7	1	1	NUM
iogr-1205	48	8	,	,	PUNCT
iogr-1205	48	9	all	all	DET
iogr-1205	48	10	models	model	NOUN
iogr-1205	48	11	fit	fit	VERB
iogr-1205	48	12	quite	quite	ADV
iogr-1205	48	13	well	well	ADV
iogr-1205	48	14	with	with	ADP
iogr-1205	48	15	the	the	DET
iogr-1205	48	16	training	training	NOUN
iogr-1205	48	17	dataset	dataset	NOUN
iogr-1205	48	18	(	(	PUNCT
iogr-1205	48	19	the	the	DET
iogr-1205	48	20	left	left	ADJ
iogr-1205	48	21	figure	figure	NOUN
iogr-1205	48	22	)	)	PUNCT
iogr-1205	48	23	.	.	PUNCT
iogr-1205	49	1	for	for	ADP
iogr-1205	49	2	the	the	DET
iogr-1205	49	3	test	test	NOUN
iogr-1205	49	4	dataset	dataset	NOUN
iogr-1205	49	5	,	,	PUNCT
iogr-1205	49	6	however	however	ADV
iogr-1205	49	7	,	,	PUNCT
iogr-1205	49	8	some	some	DET
iogr-1205	49	9	algorithms	algorithm	NOUN
iogr-1205	49	10	including	include	VERB
iogr-1205	49	11	rf	rf	ADJ
iogr-1205	49	12	and	and	CCONJ
iogr-1205	49	13	gb	gb	PRON
iogr-1205	49	14	provide	provide	VERB
iogr-1205	49	15	the	the	DET
iogr-1205	49	16	predicted	predict	VERB
iogr-1205	49	17	values	value	NOUN
iogr-1205	49	18	with	with	ADP
iogr-1205	49	19	high	high	ADJ
iogr-1205	49	20	deviation	deviation	NOUN
iogr-1205	49	21	from	from	ADP
iogr-1205	49	22	the	the	DET
iogr-1205	49	23	measured	measure	VERB
iogr-1205	49	24	data	datum	NOUN
iogr-1205	49	25	(	(	PUNCT
iogr-1205	49	26	the	the	DET
iogr-1205	49	27	right	right	ADJ
iogr-1205	49	28	figure	figure	NOUN
iogr-1205	49	29	)	)	PUNCT
iogr-1205	49	30	.	.	PUNCT
iogr-1205	50	1	among	among	ADP
iogr-1205	50	2	the	the	DET
iogr-1205	50	3	others	other	NOUN
iogr-1205	50	4	,	,	PUNCT
iogr-1205	50	5	svr	svr	PROPN
iogr-1205	50	6	yields	yield	VERB
iogr-1205	50	7	excellent	excellent	ADJ
iogr-1205	50	8	results	result	NOUN
iogr-1205	50	9	that	that	PRON
iogr-1205	50	10	match	match	VERB
iogr-1205	50	11	very	very	ADV
iogr-1205	50	12	well	well	ADV
iogr-1205	50	13	with	with	ADP
iogr-1205	50	14	the	the	DET
iogr-1205	50	15	observed	observe	VERB
iogr-1205	50	16	data	datum	NOUN
iogr-1205	50	17	throughout	throughout	ADP
iogr-1205	50	18	the	the	DET
iogr-1205	50	19	full	full	ADJ
iogr-1205	50	20	time	time	NOUN
iogr-1205	50	21	range	range	NOUN
iogr-1205	50	22	of	of	ADP
iogr-1205	50	23	interest	interest	NOUN
iogr-1205	50	24	.	.	PUNCT
iogr-1205	51	1	especially	especially	ADV
iogr-1205	51	2	,	,	PUNCT
iogr-1205	51	3	svr	svr	PROPN
iogr-1205	51	4	shows	show	VERB
iogr-1205	51	5	its	its	PRON
iogr-1205	51	6	ability	ability	NOUN
iogr-1205	51	7	to	to	PART
iogr-1205	51	8	capture	capture	VERB
iogr-1205	51	9	stiff	stiff	ADJ
iogr-1205	51	10	changes	change	NOUN
iogr-1205	51	11	of	of	ADP
iogr-1205	51	12	pressure	pressure	NOUN
iogr-1205	51	13	occurring	occur	VERB
iogr-1205	51	14	in	in	ADP
iogr-1205	51	15	the	the	DET
iogr-1205	51	16	middle	middle	NOUN
iogr-1205	51	17	of	of	ADP
iogr-1205	51	18	the	the	DET
iogr-1205	51	19	testing	testing	NOUN
iogr-1205	51	20	period	period	NOUN
iogr-1205	51	21	.	.	PUNCT
iogr-1205	52	1	figure	figure	NOUN
iogr-1205	52	2	1	1	NUM
iogr-1205	52	3	—	—	PUNCT
iogr-1205	52	4	the	the	DET
iogr-1205	52	5	results	result	NOUN
iogr-1205	52	6	in	in	ADP
iogr-1205	52	7	the	the	DET
iogr-1205	52	8	full	full	ADJ
iogr-1205	52	9	time	time	NOUN
iogr-1205	52	10	range	range	NOUN
iogr-1205	52	11	(	(	PUNCT
iogr-1205	52	12	left	left	ADV
iogr-1205	52	13	)	)	PUNCT
iogr-1205	52	14	;	;	PUNCT
iogr-1205	52	15	the	the	DET
iogr-1205	52	16	results	result	NOUN
iogr-1205	52	17	in	in	ADP
iogr-1205	52	18	the	the	DET
iogr-1205	52	19	test	test	NOUN
iogr-1205	52	20	dataset	dataset	NOUN
iogr-1205	52	21	interval	interval	NOUN
iogr-1205	52	22	(	(	PUNCT
iogr-1205	52	23	right	right	NOUN
iogr-1205	52	24	)	)	PUNCT
iogr-1205	52	25	.	.	PUNCT
iogr-1205	53	1	the	the	DET
iogr-1205	53	2	vertical	vertical	ADJ
iogr-1205	53	3	dash	dash	NOUN
iogr-1205	53	4	line	line	NOUN
iogr-1205	53	5	represents	represent	VERB
iogr-1205	53	6	the	the	DET
iogr-1205	53	7	time	time	NOUN
iogr-1205	53	8	where	where	SCONJ
iogr-1205	53	9	the	the	DET
iogr-1205	53	10	dataset	dataset	NOUN
iogr-1205	53	11	is	be	AUX
iogr-1205	53	12	splitted	splitte	VERB
iogr-1205	53	13	into	into	ADP
iogr-1205	53	14	2	2	NUM
iogr-1205	53	15	subsets	subset	NOUN
iogr-1205	53	16	:	:	PUNCT
iogr-1205	53	17	the	the	DET
iogr-1205	53	18	training	training	NOUN
iogr-1205	53	19	dataset	dataset	NOUN
iogr-1205	53	20	is	be	AUX
iogr-1205	53	21	located	locate	VERB
iogr-1205	53	22	to	to	ADP
iogr-1205	53	23	the	the	DET
iogr-1205	53	24	left	left	NOUN
iogr-1205	53	25	of	of	ADP
iogr-1205	53	26	the	the	DET
iogr-1205	53	27	line	line	NOUN
iogr-1205	53	28	whereas	whereas	SCONJ
iogr-1205	53	29	the	the	DET
iogr-1205	53	30	test	test	NOUN
iogr-1205	53	31	dataset	dataset	NOUN
iogr-1205	53	32	is	be	AUX
iogr-1205	53	33	located	locate	VERB
iogr-1205	53	34	to	to	ADP
iogr-1205	53	35	its	its	PRON
iogr-1205	53	36	right	right	NOUN
iogr-1205	53	37	.	.	PUNCT
iogr-1205	54	1	4	4	NUM
iogr-1205	54	2	(	(	PUNCT
iogr-1205	54	3	a	a	X
iogr-1205	54	4	)	)	PUNCT
iogr-1205	54	5	rf	rf	ADJ
iogr-1205	54	6	(	(	PUNCT
iogr-1205	54	7	b	b	NOUN
iogr-1205	54	8	)	)	PUNCT
iogr-1205	54	9	gb	gb	PROPN
iogr-1205	54	10	(	(	PUNCT
iogr-1205	54	11	c	c	NOUN
iogr-1205	54	12	)	)	PUNCT
iogr-1205	54	13	k	k	PROPN
iogr-1205	54	14	-	-	PUNCT
iogr-1205	54	15	nn	nn	PROPN
iogr-1205	54	16	(	(	PUNCT
iogr-1205	54	17	d	d	NOUN
iogr-1205	54	18	)	)	PUNCT
iogr-1205	54	19	svr	svr	PROPN
iogr-1205	54	20	figure	figure	NOUN
iogr-1205	54	21	2	2	NUM
iogr-1205	54	22	—	—	PUNCT
iogr-1205	54	23	cross	cross	NOUN
iogr-1205	54	24	plots	plot	NOUN
iogr-1205	54	25	of	of	ADP
iogr-1205	54	26	the	the	DET
iogr-1205	54	27	bottom	bottom	ADJ
iogr-1205	54	28	-	-	PUNCT
iogr-1205	54	29	hole	hole	NOUN
iogr-1205	54	30	pressure	pressure	NOUN
iogr-1205	54	31	from	from	ADP
iogr-1205	54	32	the	the	DET
iogr-1205	54	33	four	four	NUM
iogr-1205	54	34	classical	classical	ADJ
iogr-1205	54	35	ml	ml	NOUN
iogr-1205	54	36	algorithms	algorithms	NOUN
iogr-1205	54	37	(	(	PUNCT
iogr-1205	54	38	test	test	NOUN
iogr-1205	54	39	case	case	NOUN
iogr-1205	54	40	1	1	NUM
iogr-1205	54	41	)	)	PUNCT
iogr-1205	54	42	.	.	PUNCT
iogr-1205	55	1	(	(	PUNCT
iogr-1205	55	2	a	a	X
iogr-1205	55	3	)	)	PUNCT
iogr-1205	55	4	random	random	ADJ
iogr-1205	55	5	forest	forest	NOUN
iogr-1205	55	6	;	;	PUNCT
iogr-1205	55	7	(	(	PUNCT
iogr-1205	55	8	b	b	X
iogr-1205	55	9	)	)	PUNCT
iogr-1205	55	10	gradient	gradient	NOUN
iogr-1205	55	11	boosting	boosting	NOUN
iogr-1205	55	12	;	;	PUNCT
iogr-1205	55	13	(	(	PUNCT
iogr-1205	55	14	c	c	X
iogr-1205	55	15	)	)	PUNCT
iogr-1205	55	16	k	k	NOUN
iogr-1205	55	17	-	-	PUNCT
iogr-1205	55	18	nearest	near	ADJ
iogr-1205	55	19	neighbor	neighbor	NOUN
iogr-1205	55	20	;	;	PUNCT
iogr-1205	55	21	(	(	PUNCT
iogr-1205	55	22	d	d	X
iogr-1205	55	23	)	)	PUNCT
iogr-1205	55	24	support	support	NOUN
iogr-1205	55	25	vector	vector	NOUN
iogr-1205	55	26	regression	regression	NOUN
iogr-1205	55	27	.	.	PUNCT
iogr-1205	56	1	the	the	DET
iogr-1205	56	2	cross	cross	NOUN
iogr-1205	56	3	plots	plot	NOUN
iogr-1205	56	4	in	in	ADP
iogr-1205	56	5	figure	figure	NOUN
iogr-1205	56	6	2	2	NUM
iogr-1205	56	7	show	show	VERB
iogr-1205	56	8	how	how	SCONJ
iogr-1205	56	9	the	the	DET
iogr-1205	56	10	predicted	predict	VERB
iogr-1205	56	11	bottom	bottom	ADJ
iogr-1205	56	12	-	-	PUNCT
iogr-1205	56	13	hole	hole	NOUN
iogr-1205	56	14	pressures	pressure	NOUN
iogr-1205	56	15	deviate	deviate	VERB
iogr-1205	56	16	from	from	ADP
iogr-1205	56	17	between	between	ADP
iogr-1205	56	18	the	the	DET
iogr-1205	56	19	measured	measure	VERB
iogr-1205	56	20	and	and	CCONJ
iogr-1205	56	21	predicted	predict	VERB
iogr-1205	56	22	values	value	NOUN
iogr-1205	56	23	.	.	PUNCT
iogr-1205	57	1	as	as	SCONJ
iogr-1205	57	2	can	can	AUX
iogr-1205	57	3	be	be	AUX
iogr-1205	57	4	seen	see	VERB
iogr-1205	57	5	from	from	ADP
iogr-1205	57	6	the	the	DET
iogr-1205	57	7	figure	figure	NOUN
iogr-1205	57	8	,	,	PUNCT
iogr-1205	57	9	the	the	DET
iogr-1205	57	10	four	four	NUM
iogr-1205	57	11	algorithms	algorithm	NOUN
iogr-1205	57	12	under	under	ADP
iogr-1205	57	13	consideration	consideration	NOUN
iogr-1205	57	14	yield	yield	NOUN
iogr-1205	57	15	very	very	ADV
iogr-1205	57	16	good	good	ADJ
iogr-1205	57	17	match	match	NOUN
iogr-1205	57	18	with	with	ADP
iogr-1205	57	19	the	the	DET
iogr-1205	57	20	training	training	NOUN
iogr-1205	57	21	dataset	dataset	NOUN
iogr-1205	57	22	.	.	PUNCT
iogr-1205	58	1	the	the	DET
iogr-1205	58	2	performance	performance	NOUN
iogr-1205	58	3	metrics	metric	NOUN
iogr-1205	58	4	of	of	ADP
iogr-1205	58	5	the	the	DET
iogr-1205	58	6	four	four	NUM
iogr-1205	58	7	classical	classical	ADJ
iogr-1205	58	8	ml	ml	NOUN
iogr-1205	58	9	algorithms	algorithm	NOUN
iogr-1205	58	10	are	be	AUX
iogr-1205	58	11	shown	show	VERB
iogr-1205	58	12	in	in	ADP
iogr-1205	58	13	table	table	NOUN
iogr-1205	58	14	1	1	NUM
iogr-1205	58	15	for	for	ADP
iogr-1205	58	16	test	test	NOUN
iogr-1205	58	17	case	case	NOUN
iogr-1205	58	18	1	1	NUM
iogr-1205	58	19	.	.	PUNCT
iogr-1205	59	1	as	as	SCONJ
iogr-1205	59	2	can	can	AUX
iogr-1205	59	3	be	be	AUX
iogr-1205	59	4	seen	see	VERB
iogr-1205	59	5	from	from	ADP
iogr-1205	59	6	table	table	NOUN
iogr-1205	59	7	1	1	NUM
iogr-1205	59	8	,	,	PUNCT
iogr-1205	59	9	all	all	DET
iogr-1205	59	10	algorithms	algorithm	NOUN
iogr-1205	59	11	yield	yield	VERB
iogr-1205	59	12	quite	quite	ADV
iogr-1205	59	13	good	good	ADJ
iogr-1205	59	14	performance	performance	NOUN
iogr-1205	59	15	metrics	metric	NOUN
iogr-1205	59	16	,	,	PUNCT
iogr-1205	59	17	and	and	CCONJ
iogr-1205	59	18	the	the	DET
iogr-1205	59	19	svr	svr	PROPN
iogr-1205	59	20	algorithm	algorithm	PROPN
iogr-1205	59	21	shows	show	VERB
iogr-1205	59	22	its	its	PRON
iogr-1205	59	23	superior	superior	ADJ
iogr-1205	59	24	with	with	ADP
iogr-1205	59	25	the	the	DET
iogr-1205	59	26	highest	high	ADJ
iogr-1205	59	27	r2	r2	NOUN
iogr-1205	59	28	and	and	CCONJ
iogr-1205	59	29	lowest	low	ADJ
iogr-1205	59	30	errors	error	NOUN
iogr-1205	59	31	.	.	PUNCT
iogr-1205	60	1	table	table	NOUN
iogr-1205	60	2	1	1	NUM
iogr-1205	60	3	—	—	PUNCT
iogr-1205	60	4	performance	performance	NOUN
iogr-1205	60	5	metrics	metric	NOUN
iogr-1205	60	6	of	of	ADP
iogr-1205	60	7	the	the	DET
iogr-1205	60	8	four	four	NUM
iogr-1205	60	9	classical	classical	ADJ
iogr-1205	60	10	ml	ml	NOUN
iogr-1205	60	11	algorithms	algorithms	NOUN
iogr-1205	60	12	(	(	PUNCT
iogr-1205	60	13	test	test	NOUN
iogr-1205	60	14	case	case	NOUN
iogr-1205	60	15	1	1	NUM
iogr-1205	60	16	)	)	PUNCT
iogr-1205	60	17	algorithm	algorithm	NOUN
iogr-1205	60	18	/	/	SYM
iogr-1205	60	19	model	model	NOUN
iogr-1205	60	20	mse	mse	PROPN
iogr-1205	60	21	(	(	PUNCT
iogr-1205	60	22	psia	psia	PROPN
iogr-1205	60	23	)	)	PUNCT
iogr-1205	60	24	mae	mae	PROPN
iogr-1205	60	25	(	(	PUNCT
iogr-1205	60	26	psia	psia	NOUN
iogr-1205	60	27	)	)	PUNCT
iogr-1205	60	28	r2	r2	PROPN
iogr-1205	60	29	random	random	ADJ
iogr-1205	60	30	forest	forest	NOUN
iogr-1205	60	31	(	(	PUNCT
iogr-1205	60	32	rf	rf	NOUN
iogr-1205	60	33	)	)	PUNCT
iogr-1205	60	34	3894.56	3894.56	NUM
iogr-1205	60	35	40.11	40.11	NUM
iogr-1205	60	36	0.87	0.87	NUM
iogr-1205	60	37	gradient	gradient	NOUN
iogr-1205	60	38	boosting	boost	VERB
iogr-1205	60	39	(	(	PUNCT
iogr-1205	60	40	gb	gb	NOUN
iogr-1205	60	41	)	)	PUNCT
iogr-1205	60	42	4500.84	4500.84	NUM
iogr-1205	60	43	44.68	44.68	NUM
iogr-1205	60	44	0.85	0.85	NUM
iogr-1205	60	45	k	k	X
iogr-1205	60	46	-	-	PUNCT
iogr-1205	60	47	nearest	near	ADJ
iogr-1205	60	48	neighbor	neighbor	NOUN
iogr-1205	60	49	(	(	PUNCT
iogr-1205	60	50	k	k	NOUN
iogr-1205	60	51	-	-	PUNCT
iogr-1205	60	52	nn	nn	NOUN
iogr-1205	60	53	)	)	PUNCT
iogr-1205	60	54	2612.07	2612.07	NUM
iogr-1205	60	55	37.13	37.13	NUM
iogr-1205	60	56	0.91	0.91	NUM
iogr-1205	60	57	support	support	NOUN
iogr-1205	60	58	vector	vector	NOUN
iogr-1205	60	59	regression	regression	NOUN
iogr-1205	60	60	(	(	PUNCT
iogr-1205	60	61	svr	svr	PROPN
iogr-1205	60	62	)	)	PUNCT
iogr-1205	60	63	1194.33	1194.33	NUM
iogr-1205	60	64	15.84	15.84	NUM
iogr-1205	60	65	0.96	0.96	NUM
iogr-1205	60	66	5	5	NUM
iogr-1205	60	67	test	test	NOUN
iogr-1205	60	68	case	case	NOUN
iogr-1205	60	69	2	2	NUM
iogr-1205	60	70	:	:	PUNCT
iogr-1205	60	71	the	the	DET
iogr-1205	60	72	objective	objective	NOUN
iogr-1205	60	73	of	of	ADP
iogr-1205	60	74	this	this	DET
iogr-1205	60	75	test	test	NOUN
iogr-1205	60	76	case	case	NOUN
iogr-1205	60	77	is	be	AUX
iogr-1205	60	78	to	to	PART
iogr-1205	60	79	check	check	VERB
iogr-1205	60	80	the	the	DET
iogr-1205	60	81	model	model	NOUN
iogr-1205	60	82	ability	ability	NOUN
iogr-1205	60	83	to	to	PART
iogr-1205	60	84	perform	perform	VERB
iogr-1205	60	85	time	time	NOUN
iogr-1205	60	86	-	-	PUNCT
iogr-1205	60	87	series	series	NOUN
iogr-1205	60	88	forecast	forecast	NOUN
iogr-1205	60	89	with	with	ADP
iogr-1205	60	90	multiple	multiple	ADJ
iogr-1205	60	91	network	network	NOUN
iogr-1205	60	92	outputs	output	NOUN
iogr-1205	60	93	.	.	PUNCT
iogr-1205	61	1	the	the	DET
iogr-1205	61	2	same	same	ADJ
iogr-1205	61	3	classical	classical	ADJ
iogr-1205	61	4	machine	machine	NOUN
iogr-1205	61	5	learning	learn	VERB
iogr-1205	61	6	algorithms	algorithm	NOUN
iogr-1205	61	7	,	,	PUNCT
iogr-1205	61	8	i.e.	i.e.	X
iogr-1205	61	9	rf	rf	ADJ
iogr-1205	61	10	,	,	PUNCT
iogr-1205	61	11	gb	gb	ADP
iogr-1205	61	12	,	,	PUNCT
iogr-1205	61	13	k	k	PROPN
iogr-1205	61	14	-	-	PUNCT
iogr-1205	61	15	nn	nn	PROPN
iogr-1205	61	16	,	,	PUNCT
iogr-1205	61	17	svr	svr	PROPN
iogr-1205	61	18	have	have	AUX
iogr-1205	61	19	been	be	AUX
iogr-1205	61	20	studied	study	VERB
iogr-1205	61	21	in	in	ADP
iogr-1205	61	22	this	this	DET
iogr-1205	61	23	test	test	NOUN
iogr-1205	61	24	case	case	NOUN
iogr-1205	61	25	with	with	ADP
iogr-1205	61	26	the	the	DET
iogr-1205	61	27	two	two	NUM
iogr-1205	61	28	outputs	output	NOUN
iogr-1205	61	29	which	which	PRON
iogr-1205	61	30	are	be	AUX
iogr-1205	61	31	the	the	DET
iogr-1205	61	32	bottom	bottom	ADJ
iogr-1205	61	33	-	-	PUNCT
iogr-1205	61	34	hole	hole	NOUN
iogr-1205	61	35	pressure	pressure	NOUN
iogr-1205	61	36	and	and	CCONJ
iogr-1205	61	37	oil	oil	NOUN
iogr-1205	61	38	rate	rate	NOUN
iogr-1205	61	39	.	.	PUNCT
iogr-1205	62	1	compared	compare	VERB
iogr-1205	62	2	to	to	ADP
iogr-1205	62	3	the	the	DET
iogr-1205	62	4	single	single	ADJ
iogr-1205	62	5	output	output	NOUN
iogr-1205	62	6	case	case	NOUN
iogr-1205	62	7	,	,	PUNCT
iogr-1205	62	8	good	good	ADJ
iogr-1205	62	9	matches	match	NOUN
iogr-1205	62	10	can	can	AUX
iogr-1205	62	11	also	also	ADV
iogr-1205	62	12	be	be	AUX
iogr-1205	62	13	observed	observe	VERB
iogr-1205	62	14	in	in	ADP
iogr-1205	62	15	this	this	DET
iogr-1205	62	16	test	test	NOUN
iogr-1205	62	17	case	case	NOUN
iogr-1205	62	18	with	with	ADP
iogr-1205	62	19	the	the	DET
iogr-1205	62	20	training	training	NOUN
iogr-1205	62	21	dataset	dataset	NOUN
iogr-1205	62	22	whereas	whereas	SCONJ
iogr-1205	62	23	further	further	ADJ
iogr-1205	62	24	deviation	deviation	NOUN
iogr-1205	62	25	from	from	ADP
iogr-1205	62	26	the	the	DET
iogr-1205	62	27	measured	measure	VERB
iogr-1205	62	28	data	datum	NOUN
iogr-1205	62	29	can	can	AUX
iogr-1205	62	30	be	be	AUX
iogr-1205	62	31	noticed	notice	VERB
iogr-1205	62	32	,	,	PUNCT
iogr-1205	62	33	especially	especially	ADV
iogr-1205	62	34	with	with	ADP
iogr-1205	62	35	the	the	DET
iogr-1205	62	36	predicted	predict	VERB
iogr-1205	62	37	oil	oil	NOUN
iogr-1205	62	38	rate	rate	NOUN
iogr-1205	62	39	.	.	PUNCT
iogr-1205	63	1	figure	figure	NOUN
iogr-1205	63	2	3	3	NUM
iogr-1205	63	3	show	show	VERB
iogr-1205	63	4	that	that	SCONJ
iogr-1205	63	5	among	among	ADP
iogr-1205	63	6	the	the	DET
iogr-1205	63	7	others	other	NOUN
iogr-1205	63	8	,	,	PUNCT
iogr-1205	63	9	the	the	DET
iogr-1205	63	10	svr	svr	PROPN
iogr-1205	63	11	again	again	ADV
iogr-1205	63	12	is	be	AUX
iogr-1205	63	13	the	the	DET
iogr-1205	63	14	most	most	ADV
iogr-1205	63	15	efficient	efficient	ADJ
iogr-1205	63	16	algorithm	algorithm	NOUN
iogr-1205	63	17	for	for	ADP
iogr-1205	63	18	time	time	NOUN
iogr-1205	63	19	-	-	PUNCT
iogr-1205	63	20	series	series	NOUN
iogr-1205	63	21	forecasting	forecasting	NOUN
iogr-1205	63	22	.	.	PUNCT
iogr-1205	64	1	while	while	SCONJ
iogr-1205	64	2	the	the	DET
iogr-1205	64	3	other	other	ADJ
iogr-1205	64	4	algorithms	algorithm	NOUN
iogr-1205	64	5	tend	tend	VERB
iogr-1205	64	6	to	to	PART
iogr-1205	64	7	yield	yield	VERB
iogr-1205	64	8	big	big	ADJ
iogr-1205	64	9	errors	error	NOUN
iogr-1205	64	10	at	at	ADP
iogr-1205	64	11	some	some	DET
iogr-1205	64	12	points	point	NOUN
iogr-1205	64	13	in	in	ADP
iogr-1205	64	14	time	time	NOUN
iogr-1205	64	15	when	when	SCONJ
iogr-1205	64	16	high	high	ADJ
iogr-1205	64	17	peaks	peak	NOUN
iogr-1205	64	18	occur	occur	VERB
iogr-1205	64	19	,	,	PUNCT
iogr-1205	64	20	svr	svr	PROPN
iogr-1205	64	21	shows	show	VERB
iogr-1205	64	22	its	its	PRON
iogr-1205	64	23	ability	ability	NOUN
iogr-1205	64	24	to	to	PART
iogr-1205	64	25	capture	capture	VERB
iogr-1205	64	26	stiff	stiff	ADJ
iogr-1205	64	27	changes	change	NOUN
iogr-1205	64	28	in	in	ADP
iogr-1205	64	29	bottom	bottom	ADJ
iogr-1205	64	30	-	-	PUNCT
iogr-1205	64	31	hole	hole	NOUN
iogr-1205	64	32	pressure	pressure	NOUN
iogr-1205	64	33	and	and	CCONJ
iogr-1205	64	34	oil	oil	NOUN
iogr-1205	64	35	rate	rate	NOUN
iogr-1205	64	36	.	.	PUNCT
iogr-1205	65	1	figure	figure	NOUN
iogr-1205	65	2	3	3	NUM
iogr-1205	65	3	—	—	PUNCT
iogr-1205	65	4	test	test	NOUN
iogr-1205	65	5	case	case	NOUN
iogr-1205	65	6	2	2	NUM
iogr-1205	65	7	with	with	ADP
iogr-1205	65	8	classical	classical	ADJ
iogr-1205	65	9	ml	ml	NOUN
iogr-1205	65	10	algorithms	algorithm	NOUN
iogr-1205	65	11	.	.	PUNCT
iogr-1205	66	1	�	�	PROPN
iogr-1205	66	2	p	p	NOUN
iogr-1205	66	3	vs	vs	ADP
iogr-1205	66	4	time	time	NOUN
iogr-1205	66	5	full	full	ADJ
iogr-1205	66	6	dataset	dataset	NOUN
iogr-1205	66	7	(	(	PUNCT
iogr-1205	66	8	top	top	ADJ
iogr-1205	66	9	left	left	ADJ
iogr-1205	66	10	)	)	PUNCT
iogr-1205	66	11	;	;	PUNCT
iogr-1205	66	12	�	�	PROPN
iogr-1205	66	13	p	p	NOUN
iogr-1205	66	14	vs	vs	ADP
iogr-1205	66	15	time	time	NOUN
iogr-1205	66	16	test	test	NOUN
iogr-1205	66	17	dataset	dataset	NOUN
iogr-1205	66	18	(	(	PUNCT
iogr-1205	66	19	top	top	ADJ
iogr-1205	66	20	right	right	NOUN
iogr-1205	66	21	)	)	PUNCT
iogr-1205	66	22	;	;	PUNCT
iogr-1205	66	23	oil	oil	NOUN
iogr-1205	66	24	rate	rate	NOUN
iogr-1205	66	25	vs	vs	ADP
iogr-1205	66	26	time	time	NOUN
iogr-1205	66	27	–	–	PUNCT
iogr-1205	66	28	full	full	ADJ
iogr-1205	66	29	dataset	dataset	NOUN
iogr-1205	66	30	(	(	PUNCT
iogr-1205	66	31	bottom	bottom	NOUN
iogr-1205	66	32	left	left	ADJ
iogr-1205	66	33	)	)	PUNCT
iogr-1205	66	34	;	;	PUNCT
iogr-1205	66	35	oil	oil	NOUN
iogr-1205	66	36	rate	rate	NOUN
iogr-1205	66	37	vs	vs	ADP
iogr-1205	66	38	time	time	NOUN
iogr-1205	66	39	–	–	PUNCT
iogr-1205	66	40	test	test	NOUN
iogr-1205	66	41	dataset	dataset	NOUN
iogr-1205	66	42	(	(	PUNCT
iogr-1205	66	43	bottom	bottom	ADJ
iogr-1205	66	44	right	right	NOUN
iogr-1205	66	45	)	)	PUNCT
iogr-1205	66	46	.	.	PUNCT
iogr-1205	67	1	it	it	PRON
iogr-1205	67	2	can	can	AUX
iogr-1205	67	3	be	be	AUX
iogr-1205	67	4	seen	see	VERB
iogr-1205	67	5	from	from	ADP
iogr-1205	67	6	figure	figure	NOUN
iogr-1205	67	7	3	3	NUM
iogr-1205	67	8	that	that	SCONJ
iogr-1205	67	9	the	the	DET
iogr-1205	67	10	predicted	predict	VERB
iogr-1205	67	11	values	value	NOUN
iogr-1205	67	12	by	by	ADP
iogr-1205	67	13	the	the	DET
iogr-1205	67	14	models	model	NOUN
iogr-1205	67	15	with	with	ADP
iogr-1205	67	16	multiple	multiple	ADJ
iogr-1205	67	17	outputs	output	NOUN
iogr-1205	67	18	are	be	AUX
iogr-1205	67	19	not	not	PART
iogr-1205	67	20	as	as	ADV
iogr-1205	67	21	good	good	ADJ
iogr-1205	67	22	as	as	ADP
iogr-1205	67	23	those	those	PRON
iogr-1205	67	24	having	have	VERB
iogr-1205	67	25	single	single	ADJ
iogr-1205	67	26	output	output	NOUN
iogr-1205	67	27	.	.	PUNCT
iogr-1205	68	1	since	since	SCONJ
iogr-1205	68	2	the	the	DET
iogr-1205	68	3	loss	loss	NOUN
iogr-1205	68	4	function	function	NOUN
iogr-1205	68	5	is	be	AUX
iogr-1205	68	6	formulated	formulate	VERB
iogr-1205	68	7	as	as	ADP
iogr-1205	68	8	the	the	DET
iogr-1205	68	9	weighted	weighted	ADJ
iogr-1205	68	10	average	average	NOUN
iogr-1205	68	11	of	of	ADP
iogr-1205	68	12	the	the	DET
iogr-1205	68	13	component	component	NOUN
iogr-1205	68	14	losses	loss	NOUN
iogr-1205	68	15	,	,	PUNCT
iogr-1205	68	16	the	the	DET
iogr-1205	68	17	loss	loss	NOUN
iogr-1205	68	18	function	function	NOUN
iogr-1205	68	19	evaluation	evaluation	NOUN
iogr-1205	68	20	can	can	AUX
iogr-1205	68	21	be	be	AUX
iogr-1205	68	22	adjusted	adjust	VERB
iogr-1205	68	23	with	with	ADP
iogr-1205	68	24	the	the	DET
iogr-1205	68	25	weight	weight	NOUN
iogr-1205	68	26	values	value	NOUN
iogr-1205	68	27	.	.	PUNCT
iogr-1205	69	1	in	in	ADP
iogr-1205	69	2	principle	principle	ADJ
iogr-1205	69	3	,	,	PUNCT
iogr-1205	69	4	small	small	ADJ
iogr-1205	69	5	weight	weight	NOUN
iogr-1205	69	6	is	be	AUX
iogr-1205	69	7	used	use	VERB
iogr-1205	69	8	for	for	ADP
iogr-1205	69	9	data	datum	NOUN
iogr-1205	69	10	with	with	ADP
iogr-1205	69	11	high	high	ADJ
iogr-1205	69	12	uncertainty	uncertainty	NOUN
iogr-1205	69	13	.	.	PUNCT
iogr-1205	70	1	since	since	SCONJ
iogr-1205	70	2	the	the	DET
iogr-1205	70	3	bottom	bottom	ADJ
iogr-1205	70	4	-	-	PUNCT
iogr-1205	70	5	hole	hole	NOUN
iogr-1205	70	6	pressure	pressure	NOUN
iogr-1205	70	7	is	be	AUX
iogr-1205	70	8	measured	measure	VERB
iogr-1205	70	9	by	by	ADP
iogr-1205	70	10	a	a	DET
iogr-1205	70	11	permanent	permanent	ADJ
iogr-1205	70	12	downhole	downhole	NOUN
iogr-1205	70	13	gauge	gauge	NOUN
iogr-1205	70	14	with	with	ADP
iogr-1205	70	15	high	high	ADJ
iogr-1205	70	16	reliability	reliability	NOUN
iogr-1205	70	17	in	in	ADP
iogr-1205	70	18	our	our	PRON
iogr-1205	70	19	case	case	NOUN
iogr-1205	70	20	,	,	PUNCT
iogr-1205	70	21	its	its	PRON
iogr-1205	70	22	weight	weight	NOUN
iogr-1205	70	23	is	be	AUX
iogr-1205	70	24	greater	great	ADJ
iogr-1205	70	25	than	than	ADP
iogr-1205	70	26	that	that	PRON
iogr-1205	70	27	of	of	ADP
iogr-1205	70	28	the	the	DET
iogr-1205	70	29	oil	oil	NOUN
iogr-1205	70	30	rate	rate	NOUN
iogr-1205	70	31	.	.	PUNCT
iogr-1205	71	1	test	test	NOUN
iogr-1205	71	2	case	case	NOUN
iogr-1205	71	3	3	3	NUM
iogr-1205	71	4	:	:	SYM
iogr-1205	71	5	four	four	NUM
iogr-1205	71	6	deep	deep	ADJ
iogr-1205	71	7	learning	learning	NOUN
iogr-1205	71	8	models	model	NOUN
iogr-1205	71	9	including	include	VERB
iogr-1205	71	10	multilayer	multilayer	ADJ
iogr-1205	71	11	perceptron	perceptron	PROPN
iogr-1205	71	12	(	(	PUNCT
iogr-1205	71	13	mlp	mlp	PROPN
iogr-1205	71	14	)	)	PUNCT
iogr-1205	71	15	,	,	PUNCT
iogr-1205	71	16	convolutional	convolutional	ADJ
iogr-1205	71	17	neural	neural	ADJ
iogr-1205	71	18	network	network	NOUN
iogr-1205	71	19	(	(	PUNCT
iogr-1205	71	20	cnn	cnn	PROPN
iogr-1205	71	21	)	)	PUNCT
iogr-1205	71	22	,	,	PUNCT
iogr-1205	71	23	long	long	ADJ
iogr-1205	71	24	short	short	ADJ
iogr-1205	71	25	-	-	PUNCT
iogr-1205	71	26	term	term	NOUN
iogr-1205	71	27	memory	memory	NOUN
iogr-1205	71	28	(	(	PUNCT
iogr-1205	71	29	lstm	lstm	NOUN
iogr-1205	71	30	)	)	PUNCT
iogr-1205	71	31	and	and	CCONJ
iogr-1205	71	32	gated	gate	VERB
iogr-1205	71	33	recurrent	recurrent	ADJ
iogr-1205	71	34	unit	unit	NOUN
iogr-1205	71	35	(	(	PUNCT
iogr-1205	71	36	gru	gru	PROPN
iogr-1205	71	37	)	)	PUNCT
iogr-1205	71	38	have	have	AUX
iogr-1205	71	39	been	be	AUX
iogr-1205	71	40	studied	study	VERB
iogr-1205	71	41	in	in	ADP
iogr-1205	71	42	this	this	DET
iogr-1205	71	43	test	test	NOUN
iogr-1205	71	44	case	case	NOUN
iogr-1205	71	45	.	.	PUNCT
iogr-1205	72	1	all	all	DET
iogr-1205	72	2	models	model	NOUN
iogr-1205	72	3	have	have	VERB
iogr-1205	72	4	two	two	NUM
iogr-1205	72	5	outputs	output	NOUN
iogr-1205	72	6	,	,	PUNCT
iogr-1205	72	7	the	the	DET
iogr-1205	72	8	bottom	bottom	ADJ
iogr-1205	72	9	-	-	PUNCT
iogr-1205	72	10	hole	hole	NOUN
iogr-1205	72	11	pressure	pressure	NOUN
iogr-1205	72	12	difference	difference	NOUN
iogr-1205	72	13	(	(	PUNCT
iogr-1205	72	14	δ	δ	PROPN
iogr-1205	72	15	�	�	PROPN
iogr-1205	72	16	)	)	PUNCT
iogr-1205	72	17	and	and	CCONJ
iogr-1205	72	18	the	the	DET
iogr-1205	72	19	oil	oil	NOUN
iogr-1205	72	20	rate	rate	NOUN
iogr-1205	72	21	of	of	ADP
iogr-1205	72	22	the	the	DET
iogr-1205	72	23	well	well	NOUN
iogr-1205	72	24	under	under	ADP
iogr-1205	72	25	consideration	consideration	NOUN
iogr-1205	72	26	.	.	PUNCT
iogr-1205	73	1	as	as	SCONJ
iogr-1205	73	2	can	can	AUX
iogr-1205	73	3	be	be	AUX
iogr-1205	73	4	seen	see	VERB
iogr-1205	73	5	from	from	ADP
iogr-1205	73	6	figure	figure	NOUN
iogr-1205	73	7	4	4	NUM
iogr-1205	73	8	,	,	PUNCT
iogr-1205	73	9	the	the	DET
iogr-1205	73	10	predicted	predict	VERB
iogr-1205	73	11	values	value	NOUN
iogr-1205	73	12	are	be	AUX
iogr-1205	73	13	in	in	ADP
iogr-1205	73	14	good	good	ADJ
iogr-1205	73	15	agreement	agreement	NOUN
iogr-1205	73	16	with	with	ADP
iogr-1205	73	17	the	the	DET
iogr-1205	73	18	measured	measure	VERB
iogr-1205	73	19	data	datum	NOUN
iogr-1205	73	20	for	for	ADP
iogr-1205	73	21	most	most	ADJ
iogr-1205	73	22	of	of	ADP
iogr-1205	73	23	the	the	DET
iogr-1205	73	24	cases	case	NOUN
iogr-1205	73	25	in	in	ADP
iogr-1205	73	26	a	a	DET
iogr-1205	73	27	global	global	ADJ
iogr-1205	73	28	sense	sense	NOUN
iogr-1205	73	29	.	.	PUNCT
iogr-1205	74	1	for	for	ADP
iogr-1205	74	2	the	the	DET
iogr-1205	74	3	test	test	NOUN
iogr-1205	74	4	dataset	dataset	NOUN
iogr-1205	74	5	,	,	PUNCT
iogr-1205	74	6	however	however	ADV
iogr-1205	74	7	,	,	PUNCT
iogr-1205	74	8	deviations	deviation	NOUN
iogr-1205	74	9	of	of	ADP
iogr-1205	74	10	the	the	DET
iogr-1205	74	11	predicted	predict	VERB
iogr-1205	74	12	values	value	NOUN
iogr-1205	74	13	from	from	ADP
iogr-1205	74	14	the	the	DET
iogr-1205	74	15	measured	measure	VERB
iogr-1205	74	16	data	datum	NOUN
iogr-1205	74	17	are	be	AUX
iogr-1205	74	18	observed	observe	VERB
iogr-1205	74	19	.	.	PUNCT
iogr-1205	75	1	in	in	ADP
iogr-1205	75	2	this	this	DET
iogr-1205	75	3	test	test	NOUN
iogr-1205	75	4	case	case	NOUN
iogr-1205	75	5	,	,	PUNCT
iogr-1205	75	6	the	the	DET
iogr-1205	75	7	predicted	predict	VERB
iogr-1205	75	8	pressures	pressure	NOUN
iogr-1205	75	9	are	be	AUX
iogr-1205	75	10	not	not	PART
iogr-1205	75	11	much	much	ADV
iogr-1205	75	12	different	different	ADJ
iogr-1205	75	13	among	among	ADP
iogr-1205	75	14	the	the	DET
iogr-1205	75	15	four	four	NUM
iogr-1205	75	16	deep	deep	ADJ
iogr-1205	75	17	neural	neural	ADJ
iogr-1205	75	18	network	network	NOUN
iogr-1205	75	19	models	model	NOUN
iogr-1205	75	20	.	.	PUNCT
iogr-1205	76	1	on	on	ADP
iogr-1205	76	2	the	the	DET
iogr-1205	76	3	other	other	ADJ
iogr-1205	76	4	hand	hand	NOUN
iogr-1205	76	5	,	,	PUNCT
iogr-1205	76	6	greater	great	ADJ
iogr-1205	76	7	oil	oil	NOUN
iogr-1205	76	8	rate	rate	NOUN
iogr-1205	76	9	differences	difference	NOUN
iogr-1205	76	10	between	between	ADP
iogr-1205	76	11	the	the	DET
iogr-1205	76	12	models	model	NOUN
iogr-1205	76	13	are	be	AUX
iogr-1205	76	14	observed	observe	VERB
iogr-1205	76	15	.	.	PUNCT
iogr-1205	77	1	6	6	NUM
iogr-1205	77	2	it	it	PRON
iogr-1205	77	3	should	should	AUX
iogr-1205	77	4	be	be	AUX
iogr-1205	77	5	noted	note	VERB
iogr-1205	77	6	from	from	ADP
iogr-1205	77	7	figure	figure	NOUN
iogr-1205	77	8	4	4	NUM
iogr-1205	77	9	that	that	SCONJ
iogr-1205	77	10	the	the	DET
iogr-1205	77	11	deep	deep	ADJ
iogr-1205	77	12	neural	neural	ADJ
iogr-1205	77	13	networks	network	NOUN
iogr-1205	77	14	studied	study	VERB
iogr-1205	77	15	in	in	ADP
iogr-1205	77	16	this	this	DET
iogr-1205	77	17	test	test	NOUN
iogr-1205	77	18	case	case	NOUN
iogr-1205	77	19	do	do	AUX
iogr-1205	77	20	not	not	PART
iogr-1205	77	21	show	show	VERB
iogr-1205	77	22	their	their	PRON
iogr-1205	77	23	ability	ability	NOUN
iogr-1205	77	24	to	to	PART
iogr-1205	77	25	capture	capture	VERB
iogr-1205	77	26	stiff	stiff	ADJ
iogr-1205	77	27	changes	change	NOUN
iogr-1205	77	28	,	,	PUNCT
iogr-1205	77	29	such	such	ADJ
iogr-1205	77	30	as	as	ADP
iogr-1205	77	31	the	the	DET
iogr-1205	77	32	two	two	NUM
iogr-1205	77	33	peaks	peak	NOUN
iogr-1205	77	34	in	in	ADP
iogr-1205	77	35	the	the	DET
iogr-1205	77	36	pressure	pressure	NOUN
iogr-1205	77	37	profile	profile	NOUN
iogr-1205	77	38	(	(	PUNCT
iogr-1205	77	39	the	the	DET
iogr-1205	77	40	top	top	ADJ
iogr-1205	77	41	-	-	PUNCT
iogr-1205	77	42	right	right	ADJ
iogr-1205	77	43	figure	figure	NOUN
iogr-1205	77	44	)	)	PUNCT
iogr-1205	77	45	and	and	CCONJ
iogr-1205	77	46	some	some	PRON
iogr-1205	77	47	drop	drop	VERB
iogr-1205	77	48	down	down	ADP
iogr-1205	77	49	in	in	ADP
iogr-1205	77	50	the	the	DET
iogr-1205	77	51	oil	oil	NOUN
iogr-1205	77	52	rate	rate	NOUN
iogr-1205	77	53	profile	profile	NOUN
iogr-1205	77	54	(	(	PUNCT
iogr-1205	77	55	the	the	DET
iogr-1205	77	56	bottom	bottom	ADJ
iogr-1205	77	57	-	-	PUNCT
iogr-1205	77	58	right	right	ADJ
iogr-1205	77	59	figure	figure	NOUN
iogr-1205	77	60	)	)	PUNCT
iogr-1205	77	61	.	.	PUNCT
iogr-1205	78	1	figure	figure	VERB
iogr-1205	78	2	4	4	NUM
iogr-1205	78	3	—	—	PUNCT
iogr-1205	78	4	test	test	NOUN
iogr-1205	78	5	case	case	NOUN
iogr-1205	78	6	3	3	NUM
iogr-1205	78	7	with	with	ADP
iogr-1205	78	8	deep	deep	ADJ
iogr-1205	78	9	learning	learning	NOUN
iogr-1205	78	10	algorithms	algorithm	NOUN
iogr-1205	78	11	:	:	PUNCT
iogr-1205	78	12	�	�	PROPN
iogr-1205	78	13	p	p	NOUN
iogr-1205	78	14	vs	vs	ADP
iogr-1205	78	15	time	time	NOUN
iogr-1205	78	16	full	full	ADJ
iogr-1205	78	17	dataset	dataset	NOUN
iogr-1205	78	18	(	(	PUNCT
iogr-1205	78	19	top	top	ADJ
iogr-1205	78	20	left	left	ADJ
iogr-1205	78	21	)	)	PUNCT
iogr-1205	78	22	;	;	PUNCT
iogr-1205	78	23	�	�	PROPN
iogr-1205	78	24	p	p	NOUN
iogr-1205	78	25	vs	vs	ADP
iogr-1205	78	26	time	time	NOUN
iogr-1205	78	27	test	test	NOUN
iogr-1205	78	28	dataset	dataset	NOUN
iogr-1205	78	29	(	(	PUNCT
iogr-1205	78	30	top	top	ADJ
iogr-1205	78	31	right	right	NOUN
iogr-1205	78	32	)	)	PUNCT
iogr-1205	78	33	;	;	PUNCT
iogr-1205	78	34	oil	oil	NOUN
iogr-1205	78	35	rate	rate	NOUN
iogr-1205	78	36	vs	vs	ADP
iogr-1205	78	37	time	time	NOUN
iogr-1205	78	38	–	–	PUNCT
iogr-1205	78	39	full	full	ADJ
iogr-1205	78	40	dataset	dataset	NOUN
iogr-1205	78	41	(	(	PUNCT
iogr-1205	78	42	bottom	bottom	NOUN
iogr-1205	78	43	left	left	ADJ
iogr-1205	78	44	)	)	PUNCT
iogr-1205	78	45	;	;	PUNCT
iogr-1205	78	46	oil	oil	NOUN
iogr-1205	78	47	rate	rate	NOUN
iogr-1205	78	48	vs	vs	ADP
iogr-1205	78	49	time	time	NOUN
iogr-1205	78	50	–	–	PUNCT
iogr-1205	78	51	test	test	NOUN
iogr-1205	78	52	dataset	dataset	NOUN
iogr-1205	78	53	(	(	PUNCT
iogr-1205	78	54	bottom	bottom	ADJ
iogr-1205	78	55	right	right	NOUN
iogr-1205	78	56	)	)	PUNCT
iogr-1205	78	57	.	.	PUNCT
iogr-1205	79	1	table	table	NOUN
iogr-1205	79	2	2	2	NUM
iogr-1205	79	3	—	—	PUNCT
iogr-1205	79	4	performance	performance	NOUN
iogr-1205	79	5	metrics	metric	NOUN
iogr-1205	79	6	for	for	ADP
iogr-1205	79	7	the	the	DET
iogr-1205	79	8	four	four	NUM
iogr-1205	79	9	deep	deep	ADJ
iogr-1205	79	10	neural	neural	ADJ
iogr-1205	79	11	networks	network	NOUN
iogr-1205	79	12	(	(	PUNCT
iogr-1205	79	13	test	test	NOUN
iogr-1205	79	14	case	case	NOUN
iogr-1205	79	15	3	3	NUM
iogr-1205	79	16	)	)	PUNCT
iogr-1205	79	17	algorithm	algorithm	NOUN
iogr-1205	79	18	/	/	SYM
iogr-1205	79	19	model	model	NOUN
iogr-1205	79	20	mse	mse	PROPN
iogr-1205	79	21	(	(	PUNCT
iogr-1205	79	22	psia	psia	PROPN
iogr-1205	79	23	)	)	PUNCT
iogr-1205	79	24	mae	mae	PROPN
iogr-1205	79	25	(	(	PUNCT
iogr-1205	79	26	psia	psia	NOUN
iogr-1205	79	27	)	)	PUNCT
iogr-1205	79	28	r2	r2	PROPN
iogr-1205	79	29	multilayer	multilayer	PROPN
iogr-1205	79	30	perceptron	perceptron	PROPN
iogr-1205	79	31	(	(	PUNCT
iogr-1205	79	32	mlp	mlp	PROPN
iogr-1205	79	33	)	)	PUNCT
iogr-1205	79	34	2064.24	2064.24	NUM
iogr-1205	79	35	25.93	25.93	NUM
iogr-1205	79	36	0.93	0.93	NUM
iogr-1205	79	37	convolutional	convolutional	ADJ
iogr-1205	79	38	neural	neural	ADJ
iogr-1205	79	39	network	network	NOUN
iogr-1205	79	40	(	(	PUNCT
iogr-1205	79	41	cnn	cnn	PROPN
iogr-1205	79	42	)	)	PUNCT
iogr-1205	79	43	3620.19	3620.19	NUM
iogr-1205	79	44	41.63	41.63	NUM
iogr-1205	79	45	0.88	0.88	NUM
iogr-1205	79	46	long	long	ADJ
iogr-1205	79	47	short	short	ADJ
iogr-1205	79	48	-	-	PUNCT
iogr-1205	79	49	term	term	NOUN
iogr-1205	79	50	memory	memory	NOUN
iogr-1205	79	51	(	(	PUNCT
iogr-1205	79	52	lstm	lstm	NOUN
iogr-1205	79	53	)	)	PUNCT
iogr-1205	79	54	2914.20	2914.20	NUM
iogr-1205	79	55	33.21	33.21	NUM
iogr-1205	79	56	0.90	0.90	NUM
iogr-1205	79	57	gated	gate	VERB
iogr-1205	79	58	recurrent	recurrent	ADJ
iogr-1205	79	59	unit	unit	NOUN
iogr-1205	79	60	(	(	PUNCT
iogr-1205	79	61	gru	gru	PROPN
iogr-1205	79	62	)	)	PUNCT
iogr-1205	79	63	2481.41	2481.41	NUM
iogr-1205	79	64	37.29	37.29	NUM
iogr-1205	79	65	0.92	0.92	NUM
iogr-1205	79	66	conclusions	conclusion	NOUN
iogr-1205	79	67	this	this	DET
iogr-1205	79	68	paper	paper	NOUN
iogr-1205	79	69	reports	report	VERB
iogr-1205	79	70	a	a	DET
iogr-1205	79	71	comparative	comparative	ADJ
iogr-1205	79	72	study	study	NOUN
iogr-1205	79	73	on	on	ADP
iogr-1205	79	74	different	different	ADJ
iogr-1205	79	75	machine	machine	NOUN
iogr-1205	79	76	learning	learn	VERB
iogr-1205	79	77	algorithms	algorithm	NOUN
iogr-1205	79	78	for	for	ADP
iogr-1205	79	79	petroleum	petroleum	NOUN
iogr-1205	79	80	production	production	NOUN
iogr-1205	79	81	forecasting	forecasting	NOUN
iogr-1205	79	82	.	.	PUNCT
iogr-1205	80	1	in	in	ADP
iogr-1205	80	2	particular	particular	ADJ
iogr-1205	80	3	,	,	PUNCT
iogr-1205	80	4	four	four	NUM
iogr-1205	80	5	classical	classical	ADJ
iogr-1205	80	6	machine	machine	NOUN
iogr-1205	80	7	learning	learning	NOUN
iogr-1205	80	8	models	model	NOUN
iogr-1205	80	9	(	(	PUNCT
iogr-1205	80	10	k	k	X
iogr-1205	80	11	-	-	PUNCT
iogr-1205	80	12	nearest	near	ADJ
iogr-1205	80	13	neighbor	neighbor	NOUN
iogr-1205	80	14	,	,	PUNCT
iogr-1205	80	15	random	random	ADJ
iogr-1205	80	16	forest	forest	NOUN
iogr-1205	80	17	,	,	PUNCT
iogr-1205	80	18	gradient	gradient	NOUN
iogr-1205	80	19	boosting	boosting	NOUN
iogr-1205	80	20	,	,	PUNCT
iogr-1205	80	21	support	support	NOUN
iogr-1205	80	22	vector	vector	NOUN
iogr-1205	80	23	regression	regression	NOUN
iogr-1205	80	24	)	)	PUNCT
iogr-1205	80	25	and	and	CCONJ
iogr-1205	80	26	four	four	NUM
iogr-1205	80	27	deep	deep	ADJ
iogr-1205	80	28	neural	neural	ADJ
iogr-1205	80	29	networks	network	NOUN
iogr-1205	80	30	(	(	PUNCT
iogr-1205	80	31	multilayer	multilayer	PROPN
iogr-1205	80	32	perceptron	perceptron	PROPN
iogr-1205	80	33	,	,	PUNCT
iogr-1205	80	34	convolutional	convolutional	ADJ
iogr-1205	80	35	neural	neural	ADJ
iogr-1205	80	36	network	network	NOUN
iogr-1205	80	37	,	,	PUNCT
iogr-1205	80	38	long	long	ADJ
iogr-1205	80	39	short	short	ADJ
iogr-1205	80	40	-	-	PUNCT
iogr-1205	80	41	term	term	NOUN
iogr-1205	80	42	memory	memory	NOUN
iogr-1205	80	43	,	,	PUNCT
iogr-1205	80	44	and	and	CCONJ
iogr-1205	80	45	gated	gate	VERB
iogr-1205	80	46	recurrent	recurrent	ADJ
iogr-1205	80	47	unit	unit	NOUN
iogr-1205	80	48	)	)	PUNCT
iogr-1205	80	49	have	have	AUX
iogr-1205	80	50	been	be	AUX
iogr-1205	80	51	studied	study	VERB
iogr-1205	80	52	for	for	ADP
iogr-1205	80	53	their	their	PRON
iogr-1205	80	54	ability	ability	NOUN
iogr-1205	80	55	to	to	PART
iogr-1205	80	56	perform	perform	VERB
iogr-1205	80	57	prediction	prediction	NOUN
iogr-1205	80	58	on	on	ADP
iogr-1205	80	59	a	a	DET
iogr-1205	80	60	time	time	NOUN
iogr-1205	80	61	-	-	PUNCT
iogr-1205	80	62	series	series	NOUN
iogr-1205	80	63	data	datum	NOUN
iogr-1205	80	64	.	.	PUNCT
iogr-1205	81	1	the	the	DET
iogr-1205	81	2	results	result	NOUN
iogr-1205	81	3	from	from	ADP
iogr-1205	81	4	this	this	DET
iogr-1205	81	5	work	work	NOUN
iogr-1205	81	6	show	show	VERB
iogr-1205	81	7	that	that	SCONJ
iogr-1205	81	8	unlike	unlike	ADP
iogr-1205	81	9	in	in	ADP
iogr-1205	81	10	image	image	NOUN
iogr-1205	81	11	processing	processing	NOUN
iogr-1205	81	12	,	,	PUNCT
iogr-1205	81	13	voice	voice	NOUN
iogr-1205	81	14	recognition	recognition	NOUN
iogr-1205	81	15	or	or	CCONJ
iogr-1205	81	16	object	object	VERB
iogr-1205	81	17	detection	detection	NOUN
iogr-1205	81	18	where	where	SCONJ
iogr-1205	81	19	complicated	complicated	ADJ
iogr-1205	81	20	deep	deep	ADJ
iogr-1205	81	21	neural	neural	ADJ
iogr-1205	81	22	networks	network	NOUN
iogr-1205	81	23	proved	prove	VERB
iogr-1205	81	24	to	to	PART
iogr-1205	81	25	be	be	AUX
iogr-1205	81	26	highly	highly	ADV
iogr-1205	81	27	powerful	powerful	ADJ
iogr-1205	81	28	,	,	PUNCT
iogr-1205	81	29	the	the	DET
iogr-1205	81	30	classical	classical	ADJ
iogr-1205	81	31	machine	machine	NOUN
iogr-1205	81	32	learning	learn	VERB
iogr-1205	81	33	approach	approach	NOUN
iogr-1205	81	34	with	with	ADP
iogr-1205	81	35	the	the	DET
iogr-1205	81	36	support	support	NOUN
iogr-1205	81	37	machine	machine	NOUN
iogr-1205	81	38	regression	regression	NOUN
iogr-1205	81	39	is	be	AUX
iogr-1205	81	40	computationally	computationally	ADV
iogr-1205	81	41	efficient	efficient	ADJ
iogr-1205	81	42	with	with	ADP
iogr-1205	81	43	good	good	ADJ
iogr-1205	81	44	performance	performance	NOUN
iogr-1205	81	45	metrics	metric	NOUN
iogr-1205	81	46	and	and	CCONJ
iogr-1205	81	47	short	short	ADJ
iogr-1205	81	48	computation	computation	NOUN
iogr-1205	81	49	time	time	NOUN
iogr-1205	81	50	in	in	ADP
iogr-1205	81	51	all	all	DET
iogr-1205	81	52	test	test	NOUN
iogr-1205	81	53	cases	case	NOUN
iogr-1205	81	54	performed	perform	VERB
iogr-1205	81	55	in	in	ADP
iogr-1205	81	56	this	this	DET
iogr-1205	81	57	work	work	NOUN
iogr-1205	81	58	for	for	ADP
iogr-1205	81	59	petroleum	petroleum	NOUN
iogr-1205	81	60	production	production	NOUN
iogr-1205	81	61	forecasting	forecasting	NOUN
iogr-1205	81	62	from	from	ADP
iogr-1205	81	63	historical	historical	ADJ
iogr-1205	81	64	production	production	NOUN
iogr-1205	81	65	data	datum	NOUN
iogr-1205	81	66	of	of	ADP
iogr-1205	81	67	the	the	DET
iogr-1205	81	68	oil	oil	NOUN
iogr-1205	81	69	well	well	NOUN
iogr-1205	81	70	of	of	ADP
iogr-1205	81	71	interest	interest	NOUN
iogr-1205	81	72	.	.	PUNCT
iogr-1205	82	1	7	7	NUM
iogr-1205	82	2	acknowledgement	acknowledgement	NOUN
iogr-1205	82	3	we	we	PRON
iogr-1205	82	4	would	would	AUX
iogr-1205	82	5	like	like	VERB
iogr-1205	82	6	to	to	PART
iogr-1205	82	7	thank	thank	VERB
iogr-1205	82	8	ho	ho	PROPN
iogr-1205	82	9	chi	chi	PROPN
iogr-1205	82	10	minh	minh	PROPN
iogr-1205	82	11	city	city	PROPN
iogr-1205	82	12	university	university	PROPN
iogr-1205	82	13	of	of	ADP
iogr-1205	82	14	technology	technology	NOUN
iogr-1205	82	15	(	(	PUNCT
iogr-1205	82	16	hcmut	hcmut	NOUN
iogr-1205	82	17	)	)	PUNCT
iogr-1205	82	18	,	,	PUNCT
iogr-1205	82	19	vnu	vnu	PROPN
iogr-1205	82	20	-	-	PUNCT
iogr-1205	82	21	hcm	hcm	PROPN
iogr-1205	82	22	for	for	ADP
iogr-1205	82	23	the	the	DET
iogr-1205	82	24	support	support	NOUN
iogr-1205	82	25	of	of	ADP
iogr-1205	82	26	time	time	NOUN
iogr-1205	82	27	and	and	CCONJ
iogr-1205	82	28	facilities	facility	NOUN
iogr-1205	82	29	for	for	ADP
iogr-1205	82	30	this	this	DET
iogr-1205	82	31	study	study	NOUN
iogr-1205	82	32	.	.	PUNCT
iogr-1205	83	1	conflicting	conflict	VERB
iogr-1205	83	2	interests	interest	NOUN
iogr-1205	83	3	the	the	DET
iogr-1205	83	4	authors	author	NOUN
iogr-1205	83	5	declare	declare	VERB
iogr-1205	83	6	that	that	SCONJ
iogr-1205	83	7	they	they	PRON
iogr-1205	83	8	have	have	VERB
iogr-1205	83	9	no	no	DET
iogr-1205	83	10	conflicting	conflict	VERB
iogr-1205	83	11	interests	interest	NOUN
iogr-1205	83	12	.	.	PUNCT
iogr-1205	84	1	nomenclature	nomenclature	ADJ
iogr-1205	84	2	cnn	cnn	PROPN
iogr-1205	84	3	:	:	PUNCT
iogr-1205	84	4	convolutional	convolutional	ADJ
iogr-1205	84	5	neural	neural	ADJ
iogr-1205	84	6	network	network	NOUN
iogr-1205	84	7	dca	dca	PROPN
iogr-1205	84	8	:	:	PUNCT
iogr-1205	84	9	decline	decline	AUX
iogr-1205	84	10	curve	curve	VERB
iogr-1205	84	11	analysis	analysis	NOUN
iogr-1205	84	12	dl	dl	X
iogr-1205	84	13	:	:	PUNCT
iogr-1205	84	14	deep	deep	ADJ
iogr-1205	84	15	learning	learn	VERB
iogr-1205	84	16	gb	gb	ADP
iogr-1205	84	17	:	:	PUNCT
iogr-1205	84	18	gradient	gradient	NOUN
iogr-1205	84	19	boosting	boost	VERB
iogr-1205	84	20	gru	gru	NOUN
iogr-1205	84	21	:	:	PUNCT
iogr-1205	84	22	gated	gate	VERB
iogr-1205	84	23	recurrent	recurrent	ADJ
iogr-1205	84	24	unit	unit	NOUN
iogr-1205	84	25	k	k	PROPN
iogr-1205	84	26	-	-	PUNCT
iogr-1205	84	27	nn	nn	ADJ
iogr-1205	84	28	:	:	PUNCT
iogr-1205	84	29	k	k	ADJ
iogr-1205	84	30	-	-	PUNCT
iogr-1205	84	31	nearest	near	ADJ
iogr-1205	84	32	neighbor	neighbor	NOUN
iogr-1205	84	33	lstm	lstm	PROPN
iogr-1205	84	34	:	:	PUNCT
iogr-1205	84	35	long	long	ADJ
iogr-1205	84	36	short	short	ADJ
iogr-1205	84	37	-	-	PUNCT
iogr-1205	84	38	term	term	NOUN
iogr-1205	84	39	memory	memory	NOUN
iogr-1205	84	40	ml	ml	NOUN
iogr-1205	84	41	:	:	PUNCT
iogr-1205	84	42	machine	machine	NOUN
iogr-1205	84	43	learning	learn	VERB
iogr-1205	84	44	rf	rf	ADJ
iogr-1205	84	45	:	:	PUNCT
iogr-1205	84	46	random	random	ADJ
iogr-1205	84	47	forest	forest	NOUN
iogr-1205	84	48	rnn	rnn	PROPN
iogr-1205	84	49	:	:	PUNCT
iogr-1205	84	50	recurrent	recurrent	ADJ
iogr-1205	84	51	neural	neural	ADJ
iogr-1205	84	52	network	network	NOUN
iogr-1205	84	53	svr	svr	PROPN
iogr-1205	84	54	:	:	PUNCT
iogr-1205	84	55	support	support	NOUN
iogr-1205	84	56	vector	vector	NOUN
iogr-1205	84	57	regression	regression	NOUN
iogr-1205	84	58	references	reference	NOUN
iogr-1205	84	59	arps	arps	PROPN
iogr-1205	84	60	,	,	PUNCT
iogr-1205	84	61	j.j	j.j	PROPN
iogr-1205	84	62	.	.	PROPN
iogr-1205	84	63	1945	1945	NUM
iogr-1205	84	64	.	.	PUNCT
iogr-1205	85	1	analysis	analysis	NOUN
iogr-1205	85	2	of	of	ADP
iogr-1205	85	3	decline	decline	NOUN
iogr-1205	85	4	curves	curve	NOUN
iogr-1205	85	5	.	.	PUNCT
iogr-1205	86	1	transactions	transaction	NOUN
iogr-1205	86	2	of	of	ADP
iogr-1205	86	3	the	the	DET
iogr-1205	86	4	aime	aime	NOUN
iogr-1205	86	5	160(1	160(1	NUM
iogr-1205	86	6	):	):	PUNCT
iogr-1205	86	7	228–247	228–247	NUM
iogr-1205	86	8	.	.	PUNCT
iogr-1205	86	9	breiman	breiman	NOUN
iogr-1205	86	10	,	,	PUNCT
iogr-1205	86	11	l.	l.	PROPN
iogr-1205	86	12	2001	2001	NUM
iogr-1205	86	13	.	.	PUNCT
iogr-1205	87	1	random	random	ADJ
iogr-1205	87	2	forests.machine	forests.machine	NOUN
iogr-1205	87	3	learning	learning	NOUN
iogr-1205	87	4	45(1	45(1	NOUN
iogr-1205	87	5	):	):	PUNCT
iogr-1205	87	6	5–32	5–32	NOUN
iogr-1205	87	7	.	.	PUNCT
iogr-1205	88	1	cheng	cheng	PROPN
iogr-1205	88	2	,	,	PUNCT
iogr-1205	88	3	b.	b.	PROPN
iogr-1205	88	4	and	and	CCONJ
iogr-1205	88	5	titterington	titterington	PROPN
iogr-1205	88	6	,	,	PUNCT
iogr-1205	88	7	d.m	d.m	PROPN
iogr-1205	88	8	.	.	PROPN
iogr-1205	88	9	1994	1994	NUM
iogr-1205	88	10	.	.	PUNCT
iogr-1205	89	1	neural	neural	ADJ
iogr-1205	89	2	networks	network	NOUN
iogr-1205	89	3	:	:	PUNCT
iogr-1205	89	4	a	a	DET
iogr-1205	89	5	review	review	NOUN
iogr-1205	89	6	from	from	ADP
iogr-1205	89	7	a	a	DET
iogr-1205	89	8	statistical	statistical	ADJ
iogr-1205	89	9	perspective	perspective	NOUN
iogr-1205	89	10	.	.	PUNCT
iogr-1205	90	1	statistical	statistical	ADJ
iogr-1205	90	2	science	science	NOUN
iogr-1205	90	3	9(1	9(1	NUM
iogr-1205	90	4	):	):	PUNCT
iogr-1205	90	5	2–54	2–54	PROPN
iogr-1205	90	6	.	.	PUNCT
iogr-1205	91	1	chung	chung	PROPN
iogr-1205	91	2	,	,	PUNCT
iogr-1205	91	3	j.	j.	PROPN
iogr-1205	91	4	,	,	PUNCT
iogr-1205	91	5	gulcehre	gulcehre	PROPN
iogr-1205	91	6	,	,	PUNCT
iogr-1205	91	7	c.	c.	PROPN
iogr-1205	91	8	,	,	PUNCT
iogr-1205	91	9	cho	cho	PROPN
iogr-1205	91	10	,	,	PUNCT
iogr-1205	91	11	k.	k.	PROPN
iogr-1205	91	12	,	,	PUNCT
iogr-1205	91	13	et	et	PROPN
iogr-1205	91	14	al	al	PROPN
iogr-1205	91	15	.	.	PROPN
iogr-1205	91	16	2014	2014	NUM
iogr-1205	91	17	.	.	PUNCT
iogr-1205	92	1	empirical	empirical	ADJ
iogr-1205	92	2	evaluation	evaluation	NOUN
iogr-1205	92	3	of	of	ADP
iogr-1205	92	4	gated	gate	VERB
iogr-1205	92	5	recurrent	recurrent	ADJ
iogr-1205	92	6	neural	neural	ADJ
iogr-1205	92	7	networks	network	NOUN
iogr-1205	92	8	on	on	ADP
iogr-1205	92	9	sequence	sequence	NOUN
iogr-1205	92	10	modeling	modeling	NOUN
iogr-1205	92	11	.	.	PUNCT
iogr-1205	93	1	arxiv	arxiv	PROPN
iogr-1205	93	2	preprint	preprint	NOUN
iogr-1205	93	3	:	:	PUNCT
iogr-1205	93	4	1–9	1–9	NOUN
iogr-1205	93	5	.	.	NOUN
iogr-1205	93	6	cover	cover	NOUN
iogr-1205	93	7	,	,	PUNCT
iogr-1205	93	8	t.m	t.m	PROPN
iogr-1205	93	9	.	.	PROPN
iogr-1205	93	10	and	and	CCONJ
iogr-1205	93	11	hart	hart	PROPN
iogr-1205	93	12	,	,	PUNCT
iogr-1205	93	13	p.e	p.e	PROPN
iogr-1205	93	14	.	.	PROPN
iogr-1205	93	15	1967	1967	NUM
iogr-1205	93	16	.	.	PUNCT
iogr-1205	94	1	nearest	near	ADJ
iogr-1205	94	2	neighbor	neighbor	NOUN
iogr-1205	94	3	pattern	pattern	NOUN
iogr-1205	94	4	classification	classification	NOUN
iogr-1205	94	5	.	.	PUNCT
iogr-1205	95	1	ieee	ieee	NOUN
iogr-1205	95	2	transactions	transaction	NOUN
iogr-1205	95	3	on	on	ADP
iogr-1205	95	4	information	information	NOUN
iogr-1205	95	5	theory	theory	NOUN
iogr-1205	95	6	13(1	13(1	NUM
iogr-1205	95	7	):	):	PUNCT
iogr-1205	95	8	21–27	21–27	NUM
iogr-1205	95	9	.	.	PUNCT
iogr-1205	96	1	doan	doan	PROPN
iogr-1205	96	2	,	,	PUNCT
iogr-1205	96	3	t.	t.	NOUN
iogr-1205	96	4	and	and	CCONJ
iogr-1205	96	5	vo	vo	PROPN
iogr-1205	96	6	,	,	PUNCT
iogr-1205	96	7	m.v	m.v	PROPN
iogr-1205	96	8	.	.	PROPN
iogr-1205	96	9	2021	2021	NUM
iogr-1205	96	10	.	.	PUNCT
iogr-1205	97	1	using	use	VERB
iogr-1205	97	2	machine	machine	NOUN
iogr-1205	97	3	learning	learn	VERB
iogr-1205	97	4	techniques	technique	NOUN
iogr-1205	97	5	for	for	ADP
iogr-1205	97	6	enhancing	enhance	VERB
iogr-1205	97	7	production	production	NOUN
iogr-1205	97	8	forecast	forecast	NOUN
iogr-1205	97	9	in	in	ADP
iogr-1205	97	10	north	north	PROPN
iogr-1205	97	11	malay	malay	PROPN
iogr-1205	97	12	basin	basin	PROPN
iogr-1205	97	13	.	.	PUNCT
iogr-1205	98	1	improved	improve	VERB
iogr-1205	98	2	oil	oil	NOUN
iogr-1205	98	3	and	and	CCONJ
iogr-1205	98	4	gas	gas	NOUN
iogr-1205	98	5	recovery	recovery	NOUN
iogr-1205	98	6	5(1	5(1	NUM
iogr-1205	98	7	):	):	PUNCT
iogr-1205	98	8	1–6	1–6	NUM
iogr-1205	98	9	.	.	PUNCT
iogr-1205	99	1	drucker	drucker	PROPN
iogr-1205	99	2	,	,	PUNCT
iogr-1205	99	3	h.	h.	PROPN
iogr-1205	99	4	,	,	PUNCT
iogr-1205	99	5	burges	burge	NOUN
iogr-1205	99	6	,	,	PUNCT
iogr-1205	99	7	c.j.c	c.j.c	PROPN
iogr-1205	99	8	.	.	PROPN
iogr-1205	99	9	,	,	PUNCT
iogr-1205	99	10	kaufman	kaufman	PROPN
iogr-1205	99	11	,	,	PUNCT
iogr-1205	99	12	l.	l.	PROPN
iogr-1205	99	13	,	,	PUNCT
iogr-1205	99	14	et	et	PROPN
iogr-1205	99	15	al	al	PROPN
iogr-1205	99	16	.	.	PROPN
iogr-1205	99	17	1997	1997	NUM
iogr-1205	99	18	.	.	PUNCT
iogr-1205	100	1	support	support	NOUN
iogr-1205	100	2	vector	vector	NOUN
iogr-1205	100	3	regression	regression	NOUN
iogr-1205	100	4	machines	machine	NOUN
iogr-1205	100	5	.	.	PUNCT
iogr-1205	101	1	advances	advance	NOUN
iogr-1205	101	2	in	in	ADP
iogr-1205	101	3	neural	neural	ADJ
iogr-1205	101	4	information	information	NOUN
iogr-1205	101	5	processing	processing	NOUN
iogr-1205	101	6	systems	system	NOUN
iogr-1205	101	7	1	1	NUM
iogr-1205	101	8	:	:	PUNCT
iogr-1205	101	9	155–61	155–61	NUM
iogr-1205	101	10	.	.	PUNCT
iogr-1205	102	1	friedman	friedman	PROPN
iogr-1205	102	2	,	,	PUNCT
iogr-1205	102	3	j.h	j.h	PROPN
iogr-1205	102	4	.	.	PROPN
iogr-1205	102	5	2001	2001	NUM
iogr-1205	102	6	.	.	PUNCT
iogr-1205	103	1	greedy	greedy	ADJ
iogr-1205	103	2	function	function	NOUN
iogr-1205	103	3	approximation	approximation	NOUN
iogr-1205	103	4	:	:	PUNCT
iogr-1205	103	5	a	a	DET
iogr-1205	103	6	gradient	gradient	ADJ
iogr-1205	103	7	boosting	boost	VERB
iogr-1205	103	8	machine	machine	NOUN
iogr-1205	103	9	.	.	PUNCT
iogr-1205	104	1	the	the	DET
iogr-1205	104	2	annals	annal	NOUN
iogr-1205	104	3	of	of	ADP
iogr-1205	104	4	statistics	statistic	NOUN
iogr-1205	104	5	29(5	29(5	NUM
iogr-1205	104	6	):	):	PUNCT
iogr-1205	104	7	1189–1232	1189–1232	NUM
iogr-1205	104	8	.	.	PUNCT
iogr-1205	105	1	hamam	hamam	PROPN
iogr-1205	105	2	,	,	PUNCT
iogr-1205	105	3	h.	h.	PROPN
iogr-1205	105	4	and	and	CCONJ
iogr-1205	105	5	ertekin	ertekin	PROPN
iogr-1205	105	6	,	,	PUNCT
iogr-1205	105	7	t.	t.	PROPN
iogr-1205	105	8	2018	2018	NUM
iogr-1205	105	9	.	.	PUNCT
iogr-1205	106	1	a	a	DET
iogr-1205	106	2	generalized	generalized	ADJ
iogr-1205	106	3	varying	vary	VERB
iogr-1205	106	4	oil	oil	NOUN
iogr-1205	106	5	compositions	composition	NOUN
iogr-1205	106	6	and	and	CCONJ
iogr-1205	106	7	relative	relative	ADJ
iogr-1205	106	8	permeability	permeability	NOUN
iogr-1205	106	9	screening	screen	VERB
iogr-1205	106	10	tool	tool	NOUN
iogr-1205	106	11	for	for	ADP
iogr-1205	106	12	continuous	continuous	ADJ
iogr-1205	106	13	carbon	carbon	NOUN
iogr-1205	106	14	dioxide	dioxide	NOUN
iogr-1205	106	15	injection	injection	NOUN
iogr-1205	106	16	in	in	ADP
iogr-1205	106	17	naturally	naturally	ADV
iogr-1205	106	18	fractured	fracture	VERB
iogr-1205	106	19	reservoirs	reservoir	NOUN
iogr-1205	106	20	.	.	PUNCT
iogr-1205	107	1	paper	paper	NOUN
iogr-1205	107	2	spe-192194	spe-192194	NOUN
iogr-1205	107	3	-	-	PUNCT
iogr-1205	107	4	ms	ms	PROPN
iogr-1205	107	5	presented	present	VERB
iogr-1205	107	6	at	at	ADP
iogr-1205	107	7	the	the	DET
iogr-1205	107	8	spe	spe	ADJ
iogr-1205	107	9	kingdom	kingdom	NOUN
iogr-1205	107	10	of	of	ADP
iogr-1205	107	11	saudi	saudi	PROPN
iogr-1205	107	12	arabia	arabia	PROPN
iogr-1205	107	13	annual	annual	ADJ
iogr-1205	107	14	technical	technical	ADJ
iogr-1205	107	15	symposium	symposium	NOUN
iogr-1205	107	16	and	and	CCONJ
iogr-1205	107	17	exhibition	exhibition	NOUN
iogr-1205	107	18	,	,	PUNCT
iogr-1205	107	19	dammam	dammam	PROPN
iogr-1205	107	20	,	,	PUNCT
iogr-1205	107	21	saudi	saudi	PROPN
iogr-1205	107	22	arabia	arabia	PROPN
iogr-1205	107	23	,	,	PUNCT
iogr-1205	107	24	23	23	NUM
iogr-1205	107	25	-	-	SYM
iogr-1205	107	26	26	26	NUM
iogr-1205	107	27	april	april	NOUN
iogr-1205	107	28	.	.	PUNCT
iogr-1205	108	1	hochreiter	hochreiter	PROPN
iogr-1205	108	2	,	,	PUNCT
iogr-1205	108	3	s.	s.	PROPN
iogr-1205	108	4	and	and	CCONJ
iogr-1205	108	5	schmidhuber	schmidhuber	PROPN
iogr-1205	108	6	,	,	PUNCT
iogr-1205	108	7	s.	s.	PROPN
iogr-1205	108	8	1997	1997	NUM
iogr-1205	108	9	.	.	PUNCT
iogr-1205	109	1	long	long	ADJ
iogr-1205	109	2	short	short	ADJ
iogr-1205	109	3	-	-	PUNCT
iogr-1205	109	4	term	term	NOUN
iogr-1205	109	5	memory	memory	NOUN
iogr-1205	109	6	.	.	PUNCT
iogr-1205	110	1	neural	neural	ADJ
iogr-1205	110	2	computation	computation	NOUN
iogr-1205	110	3	9(8	9(8	NUM
iogr-1205	110	4	):	):	PUNCT
iogr-1205	110	5	1735–80	1735–80	NOUN
iogr-1205	110	6	.	.	PUNCT
iogr-1205	111	1	islam	islam	PROPN
iogr-1205	111	2	,	,	PUNCT
iogr-1205	111	3	m.r	m.r	PROPN
iogr-1205	111	4	.	.	PROPN
iogr-1205	111	5	,	,	PUNCT
iogr-1205	111	6	mousavizadegan	mousavizadegan	PROPN
iogr-1205	111	7	,	,	PUNCT
iogr-1205	111	8	s.h	s.h	PROPN
iogr-1205	111	9	.	.	PROPN
iogr-1205	111	10	,	,	PUNCT
iogr-1205	111	11	mustafiz	mustafiz	PROPN
iogr-1205	111	12	,	,	PUNCT
iogr-1205	111	13	s.	s.	PROPN
iogr-1205	111	14	,	,	PUNCT
iogr-1205	111	15	et	et	PROPN
iogr-1205	111	16	al	al	PROPN
iogr-1205	111	17	.	.	PROPN
iogr-1205	111	18	2016	2016	NUM
iogr-1205	111	19	.	.	PUNCT
iogr-1205	112	1	advanced	advanced	ADJ
iogr-1205	112	2	petroleum	petroleum	NOUN
iogr-1205	112	3	reservoir	reservoir	PROPN
iogr-1205	112	4	simulation	simulation	NOUN
iogr-1205	112	5	,	,	PUNCT
iogr-1205	112	6	second	second	ADJ
iogr-1205	112	7	edition	edition	NOUN
iogr-1205	112	8	.	.	PUNCT
iogr-1205	113	1	beverly	beverly	PROPN
iogr-1205	113	2	,	,	PUNCT
iogr-1205	113	3	ma	ma	PROPN
iogr-1205	113	4	,	,	PUNCT
iogr-1205	113	5	usa	usa	PROPN
iogr-1205	113	6	:	:	PUNCT
iogr-1205	113	7	scivener	scivener	ADJ
iogr-1205	113	8	publishing	publishing	NOUN
iogr-1205	113	9	.	.	PUNCT
iogr-1205	114	1	8	8	NUM
iogr-1205	114	2	khan	khan	PROPN
iogr-1205	114	3	,	,	PUNCT
iogr-1205	114	4	m.r	m.r	ADJ
iogr-1205	114	5	,	,	PUNCT
iogr-1205	114	6	alnuaim	alnuaim	NOUN
iogr-1205	114	7	,	,	PUNCT
iogr-1205	114	8	s.	s.	PROPN
iogr-1205	114	9	,	,	PUNCT
iogr-1205	114	10	tariq	tariq	PROPN
iogr-1205	114	11	,	,	PUNCT
iogr-1205	114	12	z.	z.	PROPN
iogr-1205	114	13	,	,	PUNCT
iogr-1205	114	14	et	et	PROPN
iogr-1205	114	15	al	al	PROPN
iogr-1205	114	16	.	.	PROPN
iogr-1205	114	17	2019	2019	NUM
iogr-1205	114	18	.	.	PUNCT
iogr-1205	115	1	machine	machine	NOUN
iogr-1205	115	2	learning	learn	VERB
iogr-1205	115	3	application	application	NOUN
iogr-1205	115	4	for	for	ADP
iogr-1205	115	5	oil	oil	NOUN
iogr-1205	115	6	rate	rate	NOUN
iogr-1205	115	7	prediction	prediction	NOUN
iogr-1205	115	8	in	in	ADP
iogr-1205	115	9	artificial	artificial	ADJ
iogr-1205	115	10	gas	gas	NOUN
iogr-1205	115	11	lift	lift	NOUN
iogr-1205	115	12	wells	well	NOUN
iogr-1205	115	13	.	.	PUNCT
iogr-1205	116	1	paper	paper	NOUN
iogr-1205	116	2	spe-194713	spe-194713	NOUN
iogr-1205	116	3	-	-	PUNCT
iogr-1205	116	4	ms	ms	PROPN
iogr-1205	116	5	presented	present	VERB
iogr-1205	116	6	at	at	ADP
iogr-1205	116	7	the	the	DET
iogr-1205	116	8	spe	spe	PROPN
iogr-1205	116	9	middle	middle	PROPN
iogr-1205	116	10	east	east	PROPN
iogr-1205	116	11	oil	oil	NOUN
iogr-1205	116	12	and	and	CCONJ
iogr-1205	116	13	gas	gas	NOUN
iogr-1205	116	14	show	show	NOUN
iogr-1205	116	15	and	and	CCONJ
iogr-1205	116	16	conference	conference	NOUN
iogr-1205	116	17	,	,	PUNCT
iogr-1205	116	18	manama	manama	PROPN
iogr-1205	116	19	,	,	PUNCT
iogr-1205	116	20	bahrain	bahrain	NOUN
iogr-1205	116	21	,	,	PUNCT
iogr-1205	116	22	21	21	NUM
iogr-1205	116	23	-	-	SYM
iogr-1205	116	24	23	23	NUM
iogr-1205	116	25	march	march	NOUN
iogr-1205	116	26	.	.	PUNCT
iogr-1205	117	1	lecun	lecun	ADJ
iogr-1205	117	2	,	,	PUNCT
iogr-1205	117	3	y.	y.	PROPN
iogr-1205	117	4	1989	1989	NUM
iogr-1205	117	5	.	.	PUNCT
iogr-1205	118	1	generalization	generalization	NOUN
iogr-1205	118	2	and	and	CCONJ
iogr-1205	118	3	network	network	NOUN
iogr-1205	118	4	design	design	NOUN
iogr-1205	118	5	strategies	strategy	NOUN
iogr-1205	118	6	.	.	PUNCT
iogr-1205	119	1	paper	paper	NOUN
iogr-1205	119	2	presented	present	VERB
iogr-1205	119	3	at	at	ADP
iogr-1205	119	4	the	the	DET
iogr-1205	119	5	connectionism	connectionism	NOUN
iogr-1205	119	6	in	in	ADP
iogr-1205	119	7	perspective	perspective	NOUN
iogr-1205	119	8	,	,	PUNCT
iogr-1205	119	9	elsevier	elsevier	NOUN
iogr-1205	119	10	.	.	PUNCT
iogr-1205	120	1	lan	lan	PROPN
iogr-1205	120	2	,	,	PUNCT
iogr-1205	120	3	m.c	m.c	PROPN
iogr-1205	120	4	.	.	PROPN
iogr-1205	120	5	and	and	CCONJ
iogr-1205	120	6	le	le	PROPN
iogr-1205	120	7	,	,	PUNCT
iogr-1205	120	8	c.	c.	PROPN
iogr-1205	120	9	2019	2019	NUM
iogr-1205	120	10	.	.	PUNCT
iogr-1205	121	1	a	a	DET
iogr-1205	121	2	self	self	NOUN
iogr-1205	121	3	-	-	PUNCT
iogr-1205	121	4	organizing	organize	VERB
iogr-1205	121	5	map	map	NOUN
iogr-1205	121	6	,	,	PUNCT
iogr-1205	121	7	machine	machine	NOUN
iogr-1205	121	8	learning	learn	VERB
iogr-1205	121	9	approach	approach	NOUN
iogr-1205	121	10	to	to	ADP
iogr-1205	121	11	lithofacies	lithofacie	NOUN
iogr-1205	121	12	classification	classification	NOUN
iogr-1205	121	13	.	.	PUNCT
iogr-1205	122	1	international	international	ADJ
iogr-1205	122	2	journal	journal	PROPN
iogr-1205	122	3	of	of	ADP
iogr-1205	122	4	simulation	simulation	NOUN
iogr-1205	122	5	:	:	PUNCT
iogr-1205	122	6	systems	system	NOUN
iogr-1205	122	7	,	,	PUNCT
iogr-1205	122	8	science	science	NOUN
iogr-1205	122	9	&	&	CCONJ
iogr-1205	122	10	technology	technology	NOUN
iogr-1205	122	11	19(3	19(3	NUM
iogr-1205	122	12	):	):	PUNCT
iogr-1205	122	13	1	1	NUM
iogr-1205	122	14	-	-	SYM
iogr-1205	122	15	16	16	NUM
iogr-1205	122	16	.	.	PUNCT
iogr-1205	123	1	lan	lan	PROPN
iogr-1205	123	2	,	,	PUNCT
iogr-1205	123	3	m.c	m.c	PROPN
iogr-1205	123	4	.	.	PROPN
iogr-1205	123	5	and	and	CCONJ
iogr-1205	123	6	hoa	hoa	PROPN
iogr-1205	123	7	,	,	PUNCT
iogr-1205	123	8	t.k	t.k	PROPN
iogr-1205	123	9	.	.	PROPN
iogr-1205	123	10	2021	2021	NUM
iogr-1205	123	11	.	.	PUNCT
iogr-1205	124	1	reservoir	reservoir	NOUN
iogr-1205	124	2	property	property	NOUN
iogr-1205	124	3	modeling	modeling	NOUN
iogr-1205	124	4	with	with	ADP
iogr-1205	124	5	seismic	seismic	ADJ
iogr-1205	124	6	attributes	attribute	NOUN
iogr-1205	124	7	and	and	CCONJ
iogr-1205	124	8	artificial	artificial	ADJ
iogr-1205	124	9	neural	neural	ADJ
iogr-1205	124	10	network	network	NOUN
iogr-1205	124	11	.	.	PUNCT
iogr-1205	125	1	science	science	PROPN
iogr-1205	125	2	&	&	CCONJ
iogr-1205	125	3	technology	technology	PROPN
iogr-1205	125	4	development	development	PROPN
iogr-1205	125	5	journal	journal	NOUN
iogr-1205	125	6	-	-	PUNCT
iogr-1205	125	7	engineering	engineering	NOUN
iogr-1205	125	8	and	and	CCONJ
iogr-1205	125	9	technology	technology	NOUN
iogr-1205	125	10	4(3	4(3	NUM
iogr-1205	125	11	):	):	PUNCT
iogr-1205	125	12	61	61	NUM
iogr-1205	125	13	-	-	SYM
iogr-1205	125	14	69	69	NUM
iogr-1205	125	15	(	(	PUNCT
iogr-1205	125	16	vietnamese	vietnamese	PROPN
iogr-1205	125	17	)	)	PUNCT
iogr-1205	125	18	.	.	PUNCT
iogr-1205	126	1	paolella	paolella	NOUN
iogr-1205	126	2	,	,	PUNCT
iogr-1205	126	3	m.s	m.s	PROPN
iogr-1205	126	4	.	.	PROPN
iogr-1205	126	5	2019	2019	NUM
iogr-1205	126	6	.	.	PUNCT
iogr-1205	127	1	linear	linear	ADJ
iogr-1205	127	2	models	model	NOUN
iogr-1205	127	3	and	and	CCONJ
iogr-1205	127	4	time	time	NOUN
iogr-1205	127	5	-	-	PUNCT
iogr-1205	127	6	series	series	NOUN
iogr-1205	127	7	analysis	analysis	NOUN
iogr-1205	127	8	:	:	PUNCT
iogr-1205	127	9	regression	regression	NOUN
iogr-1205	127	10	,	,	PUNCT
iogr-1205	127	11	anova	anova	PROPN
iogr-1205	127	12	,	,	PUNCT
iogr-1205	127	13	arma	arma	NOUN
iogr-1205	127	14	and	and	CCONJ
iogr-1205	127	15	garch	garch	NOUN
iogr-1205	127	16	.	.	PUNCT
iogr-1205	128	1	new	new	PROPN
iogr-1205	128	2	york	york	PROPN
iogr-1205	128	3	city	city	PROPN
iogr-1205	128	4	:	:	PUNCT
iogr-1205	128	5	john	john	PROPN
iogr-1205	128	6	wiley	wiley	PROPN
iogr-1205	128	7	&	&	CCONJ
iogr-1205	128	8	sons	sons	PROPN
iogr-1205	128	9	inc	inc	PROPN
iogr-1205	128	10	.	.	PROPN
iogr-1205	129	1	satter	satter	PROPN
iogr-1205	129	2	,	,	PUNCT
iogr-1205	129	3	a.	a.	NOUN
iogr-1205	129	4	and	and	CCONJ
iogr-1205	129	5	iqbal	iqbal	PROPN
iogr-1205	129	6	,	,	PUNCT
iogr-1205	129	7	g.m	g.m	PROPN
iogr-1205	129	8	.	.	PROPN
iogr-1205	129	9	2016	2016	NUM
iogr-1205	129	10	.	.	PUNCT
iogr-1205	130	1	decline	decline	AUX
iogr-1205	130	2	curve	curve	NOUN
iogr-1205	130	3	analysis	analysis	NOUN
iogr-1205	130	4	for	for	ADP
iogr-1205	130	5	conventional	conventional	ADJ
iogr-1205	130	6	and	and	CCONJ
iogr-1205	130	7	unconventional	unconventional	ADJ
iogr-1205	130	8	reservoirs	reservoir	NOUN
iogr-1205	130	9	.	.	PUNCT
iogr-1205	131	1	reservoir	reservoir	PROPN
iogr-1205	131	2	engineering	engineering	PROPN
iogr-1205	131	3	:	:	PUNCT
iogr-1205	132	1	211–232	211–232	NUM
iogr-1205	132	2	.	.	PUNCT
iogr-1205	133	1	shirangi	shirangi	PROPN
iogr-1205	133	2	,	,	PUNCT
iogr-1205	133	3	m.g	m.g	PROPN
iogr-1205	133	4	.	.	PROPN
iogr-1205	133	5	2012	2012	NUM
iogr-1205	133	6	.	.	PUNCT
iogr-1205	134	1	applying	apply	VERB
iogr-1205	134	2	machine	machine	NOUN
iogr-1205	134	3	learning	learn	VERB
iogr-1205	134	4	algorithms	algorithm	NOUN
iogr-1205	134	5	to	to	ADP
iogr-1205	134	6	oil	oil	NOUN
iogr-1205	134	7	reservoir	reservoir	NOUN
iogr-1205	134	8	production	production	NOUN
iogr-1205	134	9	optimization	optimization	NOUN
iogr-1205	134	10	.	.	PUNCT
iogr-1205	135	1	paper	paper	NOUN
iogr-1205	135	2	presented	present	VERB
iogr-1205	135	3	at	at	ADP
iogr-1205	135	4	the	the	DET
iogr-1205	135	5	stanford	stanford	PROPN
iogr-1205	135	6	machine	machine	PROPN
iogr-1205	135	7	learning	learning	PROPN
iogr-1205	135	8	conference	conference	PROPN
iogr-1205	135	9	,	,	PUNCT
iogr-1205	135	10	stanford	stanford	PROPN
iogr-1205	135	11	,	,	PUNCT
iogr-1205	135	12	california	california	PROPN
iogr-1205	135	13	,	,	PUNCT
iogr-1205	135	14	usa	usa	PROPN
iogr-1205	135	15	,	,	PUNCT
iogr-1205	135	16	12	12	NUM
iogr-1205	135	17	december	december	NOUN
iogr-1205	135	18	.	.	PUNCT
iogr-1205	136	1	tian	tian	ADJ
iogr-1205	136	2	,	,	PUNCT
iogr-1205	136	3	c.	c.	PROPN
iogr-1205	136	4	and	and	CCONJ
iogr-1205	136	5	horne	horne	PROPN
iogr-1205	136	6	,	,	PUNCT
iogr-1205	136	7	r.h	r.h	PROPN
iogr-1205	136	8	.	.	PROPN
iogr-1205	136	9	2019	2019	NUM
iogr-1205	136	10	.	.	PUNCT
iogr-1205	137	1	applying	apply	VERB
iogr-1205	137	2	machine	machine	NOUN
iogr-1205	137	3	-	-	PUNCT
iogr-1205	137	4	learning	learn	VERB
iogr-1205	137	5	techniques	technique	NOUN
iogr-1205	137	6	to	to	PART
iogr-1205	137	7	interpret	interpret	VERB
iogr-1205	137	8	flow	flow	NOUN
iogr-1205	137	9	-	-	PUNCT
iogr-1205	137	10	rate	rate	NOUN
iogr-1205	137	11	,	,	PUNCT
iogr-1205	137	12	pressure	pressure	NOUN
iogr-1205	137	13	,	,	PUNCT
iogr-1205	137	14	and	and	CCONJ
iogr-1205	137	15	temperature	temperature	NOUN
iogr-1205	137	16	data	datum	NOUN
iogr-1205	137	17	from	from	ADP
iogr-1205	137	18	permanent	permanent	ADJ
iogr-1205	137	19	downhole	downhole	NOUN
iogr-1205	137	20	gauges	gauge	NOUN
iogr-1205	137	21	.	.	PUNCT
iogr-1205	138	1	spe	spe	PROPN
iogr-1205	138	2	reservoir	reservoir	PROPN
iogr-1205	138	3	evaluation	evaluation	NOUN
iogr-1205	138	4	and	and	CCONJ
iogr-1205	138	5	engineering	engineering	NOUN
iogr-1205	138	6	22(2	22(2	NUM
iogr-1205	138	7	):	):	PUNCT
iogr-1205	138	8	386	386	NUM
iogr-1205	138	9	–	–	PUNCT
iogr-1205	138	10	401	401	NUM
iogr-1205	138	11	.	.	PUNCT
iogr-1205	138	12	spe-174034	spe-174034	PROPN
iogr-1205	138	13	-	-	PUNCT
iogr-1205	138	14	pa	pa	PROPN
iogr-1205	138	15	.	.	PROPN
iogr-1205	138	16	wang	wang	PROPN
iogr-1205	138	17	,	,	PUNCT
iogr-1205	138	18	y.	y.	PROPN
iogr-1205	138	19	and	and	CCONJ
iogr-1205	138	20	saeed	saeed	PROPN
iogr-1205	138	21	s.	s.	PROPN
iogr-1205	138	22	2015	2015	NUM
iogr-1205	138	23	.	.	PUNCT
iogr-1205	139	1	drilling	drill	VERB
iogr-1205	139	2	hydraulics	hydraulic	NOUN
iogr-1205	139	3	optimization	optimization	NOUN
iogr-1205	139	4	using	use	VERB
iogr-1205	139	5	neural	neural	ADJ
iogr-1205	139	6	networks	network	NOUN
iogr-1205	139	7	.	.	PUNCT
iogr-1205	140	1	paper	paper	NOUN
iogr-1205	140	2	spe-173420	spe-173420	NOUN
iogr-1205	140	3	-	-	PUNCT
iogr-1205	140	4	ms	ms	PROPN
iogr-1205	140	5	presented	present	VERB
iogr-1205	140	6	at	at	ADP
iogr-1205	140	7	the	the	DET
iogr-1205	140	8	spe	spe	PROPN
iogr-1205	140	9	digital	digital	ADJ
iogr-1205	140	10	energy	energy	NOUN
iogr-1205	140	11	conference	conference	NOUN
iogr-1205	140	12	and	and	CCONJ
iogr-1205	140	13	exhibition	exhibition	NOUN
iogr-1205	140	14	,	,	PUNCT
iogr-1205	140	15	the	the	DET
iogr-1205	140	16	woodlands	woodland	NOUN
iogr-1205	140	17	,	,	PUNCT
iogr-1205	140	18	texas	texas	PROPN
iogr-1205	140	19	,	,	PUNCT
iogr-1205	140	20	usa	usa	PROPN
iogr-1205	140	21	,	,	PUNCT
iogr-1205	140	22	3	3	NUM
iogr-1205	140	23	-	-	SYM
iogr-1205	140	24	5	5	NUM
iogr-1205	140	25	march	march	NOUN
iogr-1205	140	26	.	.	PUNCT
iogr-1205	141	1	yucel	yucel	PROPN
iogr-1205	141	2	,	,	PUNCT
iogr-1205	141	3	m.	m.	NOUN
iogr-1205	141	4	,	,	PUNCT
iogr-1205	141	5	bekda	bekda	NOUN
iogr-1205	141	6	,	,	PUNCT
iogr-1205	141	7	g.	g.	PROPN
iogr-1205	141	8	,	,	PUNCT
iogr-1205	141	9	nigdeli	nigdeli	ADV
iogr-1205	141	10	,	,	PUNCT
iogr-1205	141	11	s.m	s.m	PROPN
iogr-1205	141	12	.	.	PROPN
iogr-1205	141	13	2020	2020	NUM
iogr-1205	141	14	.	.	PUNCT
iogr-1205	142	1	review	review	NOUN
iogr-1205	142	2	and	and	CCONJ
iogr-1205	142	3	applications	application	NOUN
iogr-1205	142	4	of	of	ADP
iogr-1205	142	5	machine	machine	NOUN
iogr-1205	142	6	learning	learning	NOUN
iogr-1205	142	7	and	and	CCONJ
iogr-1205	142	8	artificial	artificial	ADJ
iogr-1205	142	9	intelligence	intelligence	NOUN
iogr-1205	142	10	in	in	ADP
iogr-1205	142	11	engineering	engineering	NOUN
iogr-1205	142	12	:	:	PUNCT
iogr-1205	142	13	overview	overview	NOUN
iogr-1205	142	14	for	for	ADP
iogr-1205	142	15	machine	machine	NOUN
iogr-1205	142	16	learning	learning	NOUN
iogr-1205	142	17	and	and	CCONJ
iogr-1205	142	18	ai	ai	VERB
iogr-1205	142	19	.	.	PROPN
iogr-1205	142	20	in	in	ADP
iogr-1205	142	21	artificial	artificial	ADJ
iogr-1205	142	22	intelligence	intelligence	NOUN
iogr-1205	142	23	and	and	CCONJ
iogr-1205	142	24	machine	machine	NOUN
iogr-1205	142	25	learning	learning	NOUN
iogr-1205	142	26	applications	application	NOUN
iogr-1205	142	27	in	in	ADP
iogr-1205	142	28	civil	civil	ADJ
iogr-1205	142	29	,	,	PUNCT
iogr-1205	142	30	mechanical	mechanical	ADJ
iogr-1205	142	31	,	,	PUNCT
iogr-1205	142	32	and	and	CCONJ
iogr-1205	142	33	industrial	industrial	ADJ
iogr-1205	142	34	engineering	engineering	NOUN
iogr-1205	142	35	,	,	PUNCT
iogr-1205	142	36	ed	ed	NOUN
iogr-1205	142	37	.	.	PUNCT
iogr-1205	142	38	bekdas	bekdas	PROPN
iogr-1205	142	39	,	,	PUNCT
iogr-1205	142	40	g.	g.	PROPN
iogr-1205	142	41	,	,	PUNCT
iogr-1205	142	42	nigdeli	nigdeli	ADV
iogr-1205	142	43	,	,	PUNCT
iogr-1205	142	44	s.m	s.m	PROPN
iogr-1205	142	45	.	.	PROPN
iogr-1205	142	46	,	,	PUNCT
iogr-1205	142	47	and	and	CCONJ
iogr-1205	142	48	yucel	yucel	PROPN
iogr-1205	142	49	m.	m.	NOUN
iogr-1205	142	50	,	,	PUNCT
iogr-1205	142	51	chap	chap	NOUN
iogr-1205	142	52	.	.	PUNCT
iogr-1205	143	1	1	1	NUM
iogr-1205	143	2	,	,	PUNCT
iogr-1205	143	3	1	1	NUM
iogr-1205	143	4	-	-	SYM
iogr-1205	143	5	12	12	NUM
iogr-1205	143	6	.	.	PUNCT
iogr-1205	144	1	hershey	hershey	PROPN
iogr-1205	144	2	,	,	PUNCT
iogr-1205	144	3	pennsylvania	pennsylvania	PROPN
iogr-1205	144	4	,	,	PUNCT
iogr-1205	144	5	usa	usa	PROPN
iogr-1205	144	6	:	:	PUNCT
iogr-1205	144	7	igi	igi	PROPN
iogr-1205	144	8	global	global	PROPN
iogr-1205	144	9	.	.	PUNCT
iogr-1205	145	1	mai	mai	PROPN
iogr-1205	145	2	-	-	PUNCT
iogr-1205	145	3	cao	cao	PROPN
iogr-1205	145	4	lan	lan	PROPN
iogr-1205	145	5	received	receive	VERB
iogr-1205	145	6	b.e	b.e	PROPN
iogr-1205	145	7	.	.	PROPN
iogr-1205	145	8	degree	degree	NOUN
iogr-1205	145	9	(	(	PUNCT
iogr-1205	145	10	1991	1991	NUM
iogr-1205	145	11	)	)	PUNCT
iogr-1205	145	12	in	in	ADP
iogr-1205	145	13	mechanical	mechanical	ADJ
iogr-1205	145	14	engineering	engineering	NOUN
iogr-1205	145	15	from	from	ADP
iogr-1205	145	16	hcmut	hcmut	ADJ
iogr-1205	145	17	,	,	PUNCT
iogr-1205	145	18	vietnam	vietnam	PROPN
iogr-1205	145	19	,	,	PUNCT
iogr-1205	145	20	m.e	m.e	PROPN
iogr-1205	145	21	.	.	PROPN
iogr-1205	145	22	degree	degree	NOUN
iogr-1205	145	23	(	(	PUNCT
iogr-1205	145	24	1998	1998	NUM
iogr-1205	145	25	)	)	PUNCT
iogr-1205	145	26	in	in	ADP
iogr-1205	145	27	systems	system	NOUN
iogr-1205	145	28	engineering	engineering	NOUN
iogr-1205	145	29	from	from	ADP
iogr-1205	145	30	royal	royal	PROPN
iogr-1205	145	31	melbourne	melbourne	PROPN
iogr-1205	145	32	institute	institute	PROPN
iogr-1205	145	33	of	of	ADP
iogr-1205	145	34	technology	technology	PROPN
iogr-1205	145	35	,	,	PUNCT
iogr-1205	145	36	australia	australia	PROPN
iogr-1205	145	37	,	,	PUNCT
iogr-1205	145	38	and	and	CCONJ
iogr-1205	145	39	ph.d	ph.d	PROPN
iogr-1205	145	40	.	.	PROPN
iogr-1205	145	41	degree	degree	NOUN
iogr-1205	145	42	(	(	PUNCT
iogr-1205	145	43	2009	2009	NUM
iogr-1205	145	44	)	)	PUNCT
iogr-1205	145	45	in	in	ADP
iogr-1205	145	46	computational	computational	ADJ
iogr-1205	145	47	mechanics	mechanic	NOUN
iogr-1205	145	48	from	from	ADP
iogr-1205	145	49	the	the	DET
iogr-1205	145	50	university	university	PROPN
iogr-1205	145	51	of	of	ADP
iogr-1205	145	52	southern	southern	PROPN
iogr-1205	145	53	queensland	queensland	PROPN
iogr-1205	145	54	,	,	PUNCT
iogr-1205	145	55	australia	australia	PROPN
iogr-1205	145	56	.	.	PUNCT
iogr-1205	146	1	currently	currently	ADV
iogr-1205	146	2	,	,	PUNCT
iogr-1205	146	3	dr	dr	PROPN
iogr-1205	146	4	.	.	PROPN
iogr-1205	146	5	lan	lan	PROPN
iogr-1205	146	6	is	be	AUX
iogr-1205	146	7	the	the	DET
iogr-1205	146	8	head	head	NOUN
iogr-1205	146	9	of	of	ADP
iogr-1205	146	10	the	the	DET
iogr-1205	146	11	department	department	NOUN
iogr-1205	146	12	of	of	ADP
iogr-1205	146	13	drilling	drilling	PROPN
iogr-1205	146	14	&	&	CCONJ
iogr-1205	146	15	production	production	PROPN
iogr-1205	146	16	engineering	engineering	NOUN
iogr-1205	146	17	,	,	PUNCT
iogr-1205	146	18	faculty	faculty	NOUN
iogr-1205	146	19	of	of	ADP
iogr-1205	146	20	geology	geology	NOUN
iogr-1205	146	21	and	and	CCONJ
iogr-1205	146	22	petroleum	petroleum	NOUN
iogr-1205	146	23	engineering	engineering	NOUN
iogr-1205	146	24	,	,	PUNCT
iogr-1205	146	25	ho	ho	PROPN
iogr-1205	146	26	chi	chi	PROPN
iogr-1205	146	27	minh	minh	PROPN
iogr-1205	146	28	city	city	PROPN
iogr-1205	146	29	university	university	PROPN
iogr-1205	146	30	of	of	ADP
iogr-1205	146	31	technology	technology	PROPN
iogr-1205	146	32	,	,	PUNCT
iogr-1205	146	33	vietnam	vietnam	PROPN
iogr-1205	146	34	.	.	PUNCT
iogr-1205	147	1	his	his	PRON
iogr-1205	147	2	current	current	ADJ
iogr-1205	147	3	research	research	NOUN
iogr-1205	147	4	mainly	mainly	ADV
iogr-1205	147	5	focuses	focus	VERB
iogr-1205	147	6	on	on	ADP
iogr-1205	147	7	enhanced	enhance	VERB
iogr-1205	147	8	/	/	SYM
iogr-1205	147	9	improved	improve	VERB
iogr-1205	147	10	oil	oil	NOUN
iogr-1205	147	11	recovery	recovery	NOUN
iogr-1205	147	12	(	(	PUNCT
iogr-1205	147	13	eor	eor	PROPN
iogr-1205	147	14	/	/	SYM
iogr-1205	147	15	ior	ior	PROPN
iogr-1205	147	16	)	)	PUNCT
iogr-1205	147	17	,	,	PUNCT
iogr-1205	147	18	integrated	integrate	VERB
iogr-1205	147	19	production	production	NOUN
iogr-1205	147	20	modeling	modeling	NOUN
iogr-1205	147	21	,	,	PUNCT
iogr-1205	147	22	flow	flow	NOUN
iogr-1205	147	23	assurance	assurance	NOUN
iogr-1205	147	24	and	and	CCONJ
iogr-1205	147	25	machine	machine	NOUN
iogr-1205	147	26	learning	learn	VERB
iogr-1205	147	27	applications	application	NOUN
iogr-1205	147	28	in	in	ADP
iogr-1205	147	29	petroleum	petroleum	NOUN
iogr-1205	147	30	industry	industry	NOUN
iogr-1205	147	31	.	.	PUNCT
iogr-1205	148	1	truong	truong	PROPN
iogr-1205	148	2	-	-	PUNCT
iogr-1205	148	3	khac	khac	PROPN
iogr-1205	148	4	hoa	hoa	PROPN
iogr-1205	148	5	graduated	graduate	VERB
iogr-1205	148	6	with	with	ADP
iogr-1205	148	7	a	a	DET
iogr-1205	148	8	bachelor	bachelor	NOUN
iogr-1205	148	9	's	's	PART
iogr-1205	148	10	degree	degree	NOUN
iogr-1205	148	11	from	from	ADP
iogr-1205	148	12	the	the	DET
iogr-1205	148	13	university	university	NOUN
iogr-1205	148	14	of	of	ADP
iogr-1205	148	15	natural	natural	ADJ
iogr-1205	148	16	sciences	science	NOUN
iogr-1205	148	17	,	,	PUNCT
iogr-1205	148	18	ho	ho	PROPN
iogr-1205	148	19	chi	chi	PROPN
iogr-1205	148	20	minh	minh	PROPN
iogr-1205	148	21	city	city	PROPN
iogr-1205	148	22	,	,	PUNCT
iogr-1205	148	23	majoring	major	VERB
iogr-1205	148	24	in	in	ADP
iogr-1205	148	25	applied	applied	ADJ
iogr-1205	148	26	mathematics	mathematic	NOUN
iogr-1205	148	27	in	in	ADP
iogr-1205	148	28	2002	2002	NUM
iogr-1205	148	29	.	.	PUNCT
iogr-1205	149	1	completed	complete	VERB
iogr-1205	149	2	the	the	DET
iogr-1205	149	3	master	master	NOUN
iogr-1205	149	4	's	's	PART
iogr-1205	149	5	program	program	NOUN
iogr-1205	149	6	at	at	ADP
iogr-1205	149	7	ho	ho	PROPN
iogr-1205	149	8	chi	chi	PROPN
iogr-1205	149	9	minh	minh	PROPN
iogr-1205	149	10	city	city	PROPN
iogr-1205	149	11	university	university	PROPN
iogr-1205	149	12	of	of	ADP
iogr-1205	149	13	technology	technology	NOUN
iogr-1205	149	14	,	,	PUNCT
iogr-1205	149	15	majoring	major	VERB
iogr-1205	149	16	in	in	ADP
iogr-1205	149	17	petroleum	petroleum	NOUN
iogr-1205	149	18	engineering	engineering	NOUN
iogr-1205	149	19	in	in	ADP
iogr-1205	149	20	july	july	PROPN
iogr-1205	149	21	2019	2019	NUM
iogr-1205	149	22	.	.	PUNCT
iogr-1205	150	1	msc	msc	PROPN
iogr-1205	150	2	.	.	PUNCT
iogr-1205	151	1	truong	truong	PROPN
iogr-1205	151	2	khac	khac	PROPN
iogr-1205	151	3	hoa	hoa	PROPN
iogr-1205	151	4	is	be	AUX
iogr-1205	151	5	currently	currently	ADV
iogr-1205	151	6	working	work	VERB
iogr-1205	151	7	at	at	ADP
iogr-1205	151	8	the	the	DET
iogr-1205	151	9	integrated	integrate	VERB
iogr-1205	151	10	technical	technical	ADJ
iogr-1205	151	11	center	center	NOUN
iogr-1205	151	12	of	of	ADP
iogr-1205	151	13	petrovietnam	petrovietnam	PROPN
iogr-1205	151	14	exploration	exploration	PROPN
iogr-1205	151	15	&	&	CCONJ
iogr-1205	151	16	production	production	NOUN
iogr-1205	151	17	corporation	corporation	NOUN
iogr-1205	151	18	pvep	pvep	NOUN
iogr-1205	151	19	.	.	PUNCT
iogr-1205	152	1	abstract	abstract	ADJ
iogr-1205	152	2	introduction	introduction	NOUN
iogr-1205	152	3	methodology	methodology	NOUN
iogr-1205	152	4	results	result	NOUN
iogr-1205	152	5	and	and	CCONJ
iogr-1205	152	6	discussion	discussion	NOUN
iogr-1205	152	7	conclusions	conclusion	NOUN
iogr-1205	152	8	acknowledgement	acknowledgement	NOUN
iogr-1205	152	9	conflicting	conflict	VERB
iogr-1205	152	10	interests	interest	NOUN
iogr-1205	152	11	nomenclature	nomenclature	NOUN
iogr-1205	152	12	references	reference	NOUN