id	sid	tid	token	lemma	pos
iogr-1312	1	1	copyright	copyright	NOUN
iogr-1312	1	2	©	©	ADP
iogr-1312	1	3	the	the	DET
iogr-1312	1	4	author(s	author(s	NOUN
iogr-1312	1	5	)	)	PUNCT
iogr-1312	1	6	.	.	PUNCT
iogr-1312	2	1	this	this	DET
iogr-1312	2	2	work	work	NOUN
iogr-1312	2	3	is	be	AUX
iogr-1312	2	4	licensed	license	VERB
iogr-1312	2	5	under	under	ADP
iogr-1312	2	6	a	a	DET
iogr-1312	2	7	creative	creative	ADJ
iogr-1312	2	8	commons	common	NOUN
iogr-1312	2	9	attribution	attribution	NOUN
iogr-1312	2	10	4.0	4.0	NUM
iogr-1312	2	11	international	international	ADJ
iogr-1312	2	12	license	license	NOUN
iogr-1312	2	13	.	.	PUNCT
iogr-1312	3	1	improved	improve	VERB
iogr-1312	3	2	oil	oil	NOUN
iogr-1312	3	3	and	and	CCONJ
iogr-1312	3	4	gas	gas	NOUN
iogr-1312	3	5	recovery	recovery	NOUN
iogr-1312	3	6	doi	doi	NOUN
iogr-1312	3	7	:	:	PUNCT
iogr-1312	3	8	10.14800	10.14800	NUM
iogr-1312	3	9	/	/	SYM
iogr-1312	3	10	iogr.1312	iogr.1312	PROPN
iogr-1312	3	11	received	receive	VERB
iogr-1312	3	12	september	september	PROPN
iogr-1312	3	13	12	12	NUM
iogr-1312	3	14	,	,	PUNCT
iogr-1312	3	15	2024	2024	NUM
iogr-1312	3	16	;	;	PUNCT
iogr-1312	3	17	revised	revise	VERB
iogr-1312	3	18	october	october	PROPN
iogr-1312	3	19	12	12	NUM
iogr-1312	3	20	,	,	PUNCT
iogr-1312	3	21	2024	2024	NUM
iogr-1312	3	22	;	;	PUNCT
iogr-1312	3	23	accepted	accept	VERB
iogr-1312	3	24	november	november	PROPN
iogr-1312	3	25	10	10	NUM
iogr-1312	3	26	,	,	PUNCT
iogr-1312	3	27	2024	2024	NUM
iogr-1312	3	28	.	.	PUNCT
iogr-1312	4	1	*	*	PUNCT
iogr-1312	4	2	corresponding	correspond	VERB
iogr-1312	4	3	author	author	NOUN
iogr-1312	4	4	:	:	PUNCT
iogr-1312	4	5	christian.okalla@futo.edu.ng	christian.okalla@futo.edu.ng	NOUN
iogr-1312	4	6	1	1	NUM
iogr-1312	4	7	comparative	comparative	ADJ
iogr-1312	4	8	analysis	analysis	NOUN
iogr-1312	4	9	of	of	ADP
iogr-1312	4	10	linear	linear	ADJ
iogr-1312	4	11	regression	regression	NOUN
iogr-1312	4	12	and	and	CCONJ
iogr-1312	4	13	artificial	artificial	ADJ
iogr-1312	4	14	neural	neural	ADJ
iogr-1312	4	15	networks	network	NOUN
iogr-1312	4	16	for	for	ADP
iogr-1312	4	17	permeability	permeability	NOUN
iogr-1312	4	18	prediction	prediction	NOUN
iogr-1312	4	19	charlie	charlie	PROPN
iogr-1312	4	20	iyke	iyke	PROPN
iogr-1312	4	21	anyadiegwu	anyadiegwu	PROPN
iogr-1312	4	22	,	,	PUNCT
iogr-1312	4	23	christian	christian	PROPN
iogr-1312	4	24	emelu	emelu	PROPN
iogr-1312	4	25	okalla	okalla	PROPN
iogr-1312	4	26	*	*	PROPN
iogr-1312	4	27	,	,	PUNCT
iogr-1312	4	28	anthony	anthony	PROPN
iogr-1312	4	29	kerunwa	kerunwa	PROPN
iogr-1312	4	30	,	,	PUNCT
iogr-1312	4	31	solomon	solomon	PROPN
iogr-1312	4	32	chukwuebuka	chukwuebuka	PROPN
iogr-1312	4	33	igbo	igbo	PROPN
iogr-1312	4	34	,	,	PUNCT
iogr-1312	4	35	joshua	joshua	PROPN
iogr-1312	4	36	abiodun	abiodun	PROPN
iogr-1312	4	37	abah	abah	PROPN
iogr-1312	4	38	,	,	PUNCT
iogr-1312	4	39	federal	federal	ADJ
iogr-1312	4	40	university	university	PROPN
iogr-1312	4	41	of	of	ADP
iogr-1312	4	42	technology	technology	PROPN
iogr-1312	4	43	owerri	owerri	PROPN
iogr-1312	4	44	abstract	abstract	ADJ
iogr-1312	4	45	permeability	permeability	NOUN
iogr-1312	4	46	prediction	prediction	NOUN
iogr-1312	4	47	from	from	ADP
iogr-1312	4	48	well	well	ADV
iogr-1312	4	49	log	log	PROPN
iogr-1312	4	50	data	data	NOUN
iogr-1312	4	51	is	be	AUX
iogr-1312	4	52	a	a	DET
iogr-1312	4	53	critical	critical	ADJ
iogr-1312	4	54	aspect	aspect	NOUN
iogr-1312	4	55	of	of	ADP
iogr-1312	4	56	reservoir	reservoir	NOUN
iogr-1312	4	57	characterization	characterization	NOUN
iogr-1312	4	58	,	,	PUNCT
iogr-1312	4	59	providing	provide	VERB
iogr-1312	4	60	essential	essential	ADJ
iogr-1312	4	61	insights	insight	NOUN
iogr-1312	4	62	for	for	ADP
iogr-1312	4	63	effective	effective	ADJ
iogr-1312	4	64	reservoir	reservoir	NOUN
iogr-1312	4	65	management	management	NOUN
iogr-1312	4	66	and	and	CCONJ
iogr-1312	4	67	hydrocarbon	hydrocarbon	NOUN
iogr-1312	4	68	recovery	recovery	NOUN
iogr-1312	4	69	.	.	PUNCT
iogr-1312	5	1	this	this	DET
iogr-1312	5	2	study	study	NOUN
iogr-1312	5	3	investigates	investigate	VERB
iogr-1312	5	4	the	the	DET
iogr-1312	5	5	efficacy	efficacy	NOUN
iogr-1312	5	6	of	of	ADP
iogr-1312	5	7	two	two	NUM
iogr-1312	5	8	distinct	distinct	ADJ
iogr-1312	5	9	modeling	modeling	NOUN
iogr-1312	5	10	approaches	approach	NOUN
iogr-1312	5	11	—	—	PUNCT
iogr-1312	5	12	linear	linear	ADJ
iogr-1312	5	13	regression	regression	NOUN
iogr-1312	5	14	and	and	CCONJ
iogr-1312	5	15	artificial	artificial	ADJ
iogr-1312	5	16	neural	neural	ADJ
iogr-1312	5	17	networks	network	NOUN
iogr-1312	5	18	(	(	PUNCT
iogr-1312	5	19	ann)—in	ann)—in	PROPN
iogr-1312	5	20	predicting	predict	VERB
iogr-1312	5	21	permeability	permeability	NOUN
iogr-1312	5	22	from	from	ADP
iogr-1312	5	23	well	well	INTJ
iogr-1312	5	24	log	log	PROPN
iogr-1312	5	25	data	datum	NOUN
iogr-1312	5	26	.	.	PUNCT
iogr-1312	6	1	the	the	DET
iogr-1312	6	2	linear	linear	ADJ
iogr-1312	6	3	regression	regression	NOUN
iogr-1312	6	4	models	model	NOUN
iogr-1312	6	5	explored	explore	VERB
iogr-1312	6	6	include	include	VERB
iogr-1312	6	7	standard	standard	ADJ
iogr-1312	6	8	linear	linear	ADJ
iogr-1312	6	9	regression	regression	NOUN
iogr-1312	6	10	,	,	PUNCT
iogr-1312	6	11	interactions	interaction	NOUN
iogr-1312	6	12	linear	linear	PROPN
iogr-1312	6	13	regression	regression	NOUN
iogr-1312	6	14	,	,	PUNCT
iogr-1312	6	15	robust	robust	ADJ
iogr-1312	6	16	linear	linear	NOUN
iogr-1312	6	17	regression	regression	NOUN
iogr-1312	6	18	,	,	PUNCT
iogr-1312	6	19	while	while	SCONJ
iogr-1312	6	20	the	the	DET
iogr-1312	6	21	ann	ann	PROPN
iogr-1312	6	22	approach	approach	NOUN
iogr-1312	6	23	focuses	focus	VERB
iogr-1312	6	24	on	on	ADP
iogr-1312	6	25	varying	vary	VERB
iogr-1312	6	26	network	network	NOUN
iogr-1312	6	27	structures	structure	NOUN
iogr-1312	6	28	to	to	PART
iogr-1312	6	29	optimize	optimize	VERB
iogr-1312	6	30	performance	performance	NOUN
iogr-1312	6	31	.	.	PUNCT
iogr-1312	7	1	the	the	DET
iogr-1312	7	2	interactions	interaction	NOUN
iogr-1312	7	3	linear	linear	PROPN
iogr-1312	7	4	regression	regression	NOUN
iogr-1312	7	5	model	model	NOUN
iogr-1312	7	6	demonstrated	demonstrate	VERB
iogr-1312	7	7	strong	strong	ADJ
iogr-1312	7	8	predictive	predictive	ADJ
iogr-1312	7	9	capabilities	capability	NOUN
iogr-1312	7	10	,	,	PUNCT
iogr-1312	7	11	with	with	ADP
iogr-1312	7	12	root	root	NOUN
iogr-1312	7	13	mean	mean	VERB
iogr-1312	7	14	square	square	ADJ
iogr-1312	7	15	error	error	NOUN
iogr-1312	7	16	(	(	PUNCT
iogr-1312	7	17	rmse	rmse	ADJ
iogr-1312	7	18	)	)	PUNCT
iogr-1312	7	19	values	value	NOUN
iogr-1312	7	20	of	of	ADP
iogr-1312	7	21	4.47	4.47	NUM
iogr-1312	7	22	and	and	CCONJ
iogr-1312	7	23	an	an	DET
iogr-1312	7	24	r	r	NOUN
iogr-1312	7	25	-	-	PUNCT
iogr-1312	7	26	squared	square	VERB
iogr-1312	7	27	(	(	PUNCT
iogr-1312	7	28	r²	r²	NOUN
iogr-1312	7	29	)	)	PUNCT
iogr-1312	7	30	value	value	NOUN
iogr-1312	7	31	of	of	ADP
iogr-1312	7	32	0.98	0.98	NUM
iogr-1312	7	33	,	,	PUNCT
iogr-1312	7	34	indicating	indicate	VERB
iogr-1312	7	35	a	a	DET
iogr-1312	7	36	robust	robust	ADJ
iogr-1312	7	37	fit	fit	NOUN
iogr-1312	7	38	between	between	ADP
iogr-1312	7	39	the	the	DET
iogr-1312	7	40	predicted	predict	VERB
iogr-1312	7	41	and	and	CCONJ
iogr-1312	7	42	actual	actual	ADJ
iogr-1312	7	43	permeability	permeability	NOUN
iogr-1312	7	44	values	value	NOUN
iogr-1312	7	45	.	.	PUNCT
iogr-1312	8	1	however	however	ADV
iogr-1312	8	2	,	,	PUNCT
iogr-1312	8	3	the	the	DET
iogr-1312	8	4	ann	ann	PROPN
iogr-1312	8	5	model	model	NOUN
iogr-1312	8	6	,	,	PUNCT
iogr-1312	8	7	particularly	particularly	ADV
iogr-1312	8	8	with	with	ADP
iogr-1312	8	9	a	a	DET
iogr-1312	8	10	structure	structure	NOUN
iogr-1312	8	11	of	of	ADP
iogr-1312	8	12	10	10	NUM
iogr-1312	8	13	neurons	neuron	NOUN
iogr-1312	8	14	in	in	ADP
iogr-1312	8	15	the	the	DET
iogr-1312	8	16	hidden	hide	VERB
iogr-1312	8	17	layer	layer	NOUN
iogr-1312	8	18	(	(	PUNCT
iogr-1312	8	19	n-10	n-10	NOUN
iogr-1312	8	20	)	)	PUNCT
iogr-1312	8	21	,	,	PUNCT
iogr-1312	8	22	outperformed	outperform	VERB
iogr-1312	8	23	the	the	DET
iogr-1312	8	24	linear	linear	PROPN
iogr-1312	8	25	models	model	NOUN
iogr-1312	8	26	,	,	PUNCT
iogr-1312	8	27	achieving	achieve	VERB
iogr-1312	8	28	an	an	DET
iogr-1312	8	29	rmse	rmse	NOUN
iogr-1312	8	30	of	of	ADP
iogr-1312	8	31	29.90	29.90	NUM
iogr-1312	8	32	and	and	CCONJ
iogr-1312	8	33	a	a	DET
iogr-1312	8	34	remarkably	remarkably	ADV
iogr-1312	8	35	high	high	ADJ
iogr-1312	8	36	r²	r²	NOUN
iogr-1312	8	37	value	value	NOUN
iogr-1312	8	38	of	of	ADP
iogr-1312	8	39	0.9996	0.9996	NUM
iogr-1312	8	40	.	.	PUNCT
iogr-1312	9	1	this	this	PRON
iogr-1312	9	2	underscores	underscore	VERB
iogr-1312	9	3	the	the	DET
iogr-1312	9	4	ann	ann	PROPN
iogr-1312	9	5	’s	’s	PART
iogr-1312	9	6	superior	superior	ADJ
iogr-1312	9	7	ability	ability	NOUN
iogr-1312	9	8	to	to	PART
iogr-1312	9	9	capture	capture	VERB
iogr-1312	9	10	complex	complex	ADJ
iogr-1312	9	11	,	,	PUNCT
iogr-1312	9	12	nonlinear	nonlinear	ADJ
iogr-1312	9	13	relationships	relationship	NOUN
iogr-1312	9	14	within	within	ADP
iogr-1312	9	15	the	the	DET
iogr-1312	9	16	data	datum	NOUN
iogr-1312	9	17	.	.	PUNCT
iogr-1312	10	1	the	the	DET
iogr-1312	10	2	study	study	NOUN
iogr-1312	10	3	provides	provide	VERB
iogr-1312	10	4	a	a	DET
iogr-1312	10	5	detailed	detailed	ADJ
iogr-1312	10	6	analysis	analysis	NOUN
iogr-1312	10	7	of	of	ADP
iogr-1312	10	8	model	model	NOUN
iogr-1312	10	9	performance	performance	NOUN
iogr-1312	10	10	,	,	PUNCT
iogr-1312	10	11	highlighting	highlight	VERB
iogr-1312	10	12	the	the	DET
iogr-1312	10	13	strengths	strength	NOUN
iogr-1312	10	14	and	and	CCONJ
iogr-1312	10	15	limitations	limitation	NOUN
iogr-1312	10	16	of	of	ADP
iogr-1312	10	17	each	each	DET
iogr-1312	10	18	approach	approach	NOUN
iogr-1312	10	19	.	.	PUNCT
iogr-1312	11	1	the	the	DET
iogr-1312	11	2	ann	ann	PROPN
iogr-1312	11	3	model	model	PROPN
iogr-1312	11	4	’s	’s	PART
iogr-1312	11	5	superior	superior	ADJ
iogr-1312	11	6	accuracy	accuracy	NOUN
iogr-1312	11	7	makes	make	VERB
iogr-1312	11	8	it	it	PRON
iogr-1312	11	9	particularly	particularly	ADV
iogr-1312	11	10	suited	suit	VERB
iogr-1312	11	11	for	for	ADP
iogr-1312	11	12	complex	complex	ADJ
iogr-1312	11	13	reservoirs	reservoir	NOUN
iogr-1312	11	14	where	where	SCONJ
iogr-1312	11	15	non	non	ADJ
iogr-1312	11	16	-	-	ADJ
iogr-1312	11	17	linear	linear	ADJ
iogr-1312	11	18	interactions	interaction	NOUN
iogr-1312	11	19	are	be	AUX
iogr-1312	11	20	prevalent	prevalent	ADJ
iogr-1312	11	21	,	,	PUNCT
iogr-1312	11	22	while	while	SCONJ
iogr-1312	11	23	the	the	DET
iogr-1312	11	24	interactions	interaction	NOUN
iogr-1312	11	25	linear	linear	VERB
iogr-1312	11	26	regression	regression	NOUN
iogr-1312	11	27	model	model	NOUN
iogr-1312	11	28	offers	offer	VERB
iogr-1312	11	29	a	a	DET
iogr-1312	11	30	simpler	simple	ADJ
iogr-1312	11	31	,	,	PUNCT
iogr-1312	11	32	more	more	ADV
iogr-1312	11	33	interpretable	interpretable	ADJ
iogr-1312	11	34	alternative	alternative	NOUN
iogr-1312	11	35	for	for	ADP
iogr-1312	11	36	less	less	ADJ
iogr-1312	11	37	complex	complex	ADJ
iogr-1312	11	38	scenarios	scenario	NOUN
iogr-1312	11	39	.	.	PUNCT
iogr-1312	12	1	based	base	VERB
iogr-1312	12	2	on	on	ADP
iogr-1312	12	3	these	these	DET
iogr-1312	12	4	findings	finding	NOUN
iogr-1312	12	5	,	,	PUNCT
iogr-1312	12	6	the	the	DET
iogr-1312	12	7	study	study	NOUN
iogr-1312	12	8	recommends	recommend	VERB
iogr-1312	12	9	the	the	DET
iogr-1312	12	10	adoption	adoption	NOUN
iogr-1312	12	11	of	of	ADP
iogr-1312	12	12	ann	ann	PROPN
iogr-1312	12	13	models	model	NOUN
iogr-1312	12	14	for	for	ADP
iogr-1312	12	15	intricate	intricate	ADJ
iogr-1312	12	16	reservoir	reservoir	NOUN
iogr-1312	12	17	characterization	characterization	NOUN
iogr-1312	12	18	tasks	task	NOUN
iogr-1312	12	19	,	,	PUNCT
iogr-1312	12	20	while	while	SCONJ
iogr-1312	12	21	linear	linear	ADJ
iogr-1312	12	22	regression	regression	NOUN
iogr-1312	12	23	models	model	NOUN
iogr-1312	12	24	can	can	AUX
iogr-1312	12	25	be	be	AUX
iogr-1312	12	26	utilized	utilize	VERB
iogr-1312	12	27	for	for	ADP
iogr-1312	12	28	quicker	quick	ADJ
iogr-1312	12	29	,	,	PUNCT
iogr-1312	12	30	more	more	ADV
iogr-1312	12	31	straightforward	straightforward	ADJ
iogr-1312	12	32	predictions	prediction	NOUN
iogr-1312	12	33	.	.	PUNCT
iogr-1312	13	1	furthermore	furthermore	ADV
iogr-1312	13	2	,	,	PUNCT
iogr-1312	13	3	comparison	comparison	NOUN
iogr-1312	13	4	of	of	ADP
iogr-1312	13	5	this	this	DET
iogr-1312	13	6	model	model	NOUN
iogr-1312	13	7	with	with	ADP
iogr-1312	13	8	other	other	ADJ
iogr-1312	13	9	existing	exist	VERB
iogr-1312	13	10	models	model	NOUN
iogr-1312	13	11	were	be	AUX
iogr-1312	13	12	made	make	VERB
iogr-1312	13	13	and	and	CCONJ
iogr-1312	13	14	this	this	DET
iogr-1312	13	15	study	study	NOUN
iogr-1312	13	16	’s	’s	PART
iogr-1312	13	17	model	model	PROPN
iogr-1312	13	18	outperformed	outperform	VERB
iogr-1312	13	19	.	.	PUNCT
iogr-1312	14	1	introduction	introduction	NOUN
iogr-1312	14	2	the	the	DET
iogr-1312	14	3	prediction	prediction	NOUN
iogr-1312	14	4	of	of	ADP
iogr-1312	14	5	subsurface	subsurface	NOUN
iogr-1312	14	6	physical	physical	ADJ
iogr-1312	14	7	properties	property	NOUN
iogr-1312	14	8	,	,	PUNCT
iogr-1312	14	9	such	such	ADJ
iogr-1312	14	10	as	as	ADP
iogr-1312	14	11	permeability	permeability	NOUN
iogr-1312	14	12	and	and	CCONJ
iogr-1312	14	13	porosity	porosity	NOUN
iogr-1312	14	14	,	,	PUNCT
iogr-1312	14	15	is	be	AUX
iogr-1312	14	16	a	a	DET
iogr-1312	14	17	fundamental	fundamental	ADJ
iogr-1312	14	18	challenge	challenge	NOUN
iogr-1312	14	19	in	in	ADP
iogr-1312	14	20	reservoir	reservoir	NOUN
iogr-1312	14	21	characterization	characterization	NOUN
iogr-1312	14	22	,	,	PUNCT
iogr-1312	14	23	influencing	influence	VERB
iogr-1312	14	24	decisions	decision	NOUN
iogr-1312	14	25	related	relate	VERB
iogr-1312	14	26	to	to	ADP
iogr-1312	14	27	exploration	exploration	NOUN
iogr-1312	14	28	,	,	PUNCT
iogr-1312	14	29	drilling	drilling	NOUN
iogr-1312	14	30	,	,	PUNCT
iogr-1312	14	31	and	and	CCONJ
iogr-1312	14	32	production	production	NOUN
iogr-1312	14	33	in	in	ADP
iogr-1312	14	34	the	the	DET
iogr-1312	14	35	oil	oil	NOUN
iogr-1312	14	36	and	and	CCONJ
iogr-1312	14	37	gas	gas	NOUN
iogr-1312	14	38	industry	industry	NOUN
iogr-1312	14	39	(	(	PUNCT
iogr-1312	14	40	nelson	nelson	PROPN
iogr-1312	14	41	1994	1994	NUM
iogr-1312	14	42	;	;	PUNCT
iogr-1312	14	43	ezekwe	ezekwe	NOUN
iogr-1312	14	44	2010	2010	NUM
iogr-1312	14	45	;	;	PUNCT
iogr-1312	14	46	edlmann	edlmann	PROPN
iogr-1312	14	47	et	et	PROPN
iogr-1312	14	48	al	al	PROPN
iogr-1312	14	49	.	.	PROPN
iogr-1312	14	50	1996	1996	NUM
iogr-1312	14	51	;	;	PUNCT
iogr-1312	14	52	zhang	zhang	PROPN
iogr-1312	14	53	2013	2013	NUM
iogr-1312	14	54	;	;	PUNCT
iogr-1312	14	55	zhang	zhang	PROPN
iogr-1312	14	56	et	et	PROPN
iogr-1312	14	57	al	al	PROPN
iogr-1312	14	58	.	.	PROPN
iogr-1312	14	59	1996	1996	NUM
iogr-1312	14	60	;	;	PUNCT
iogr-1312	14	61	johnson	johnson	PROPN
iogr-1312	14	62	1963	1963	NUM
iogr-1312	14	63	;	;	PUNCT
iogr-1312	14	64	ahmed	ahmed	PROPN
iogr-1312	14	65	2006	2006	NUM
iogr-1312	14	66	;	;	PUNCT
iogr-1312	14	67	newman	newman	PROPN
iogr-1312	14	68	and	and	CCONJ
iogr-1312	14	69	martin	martin	PROPN
iogr-1312	14	70	1977	1977	NUM
iogr-1312	14	71	;	;	PUNCT
iogr-1312	14	72	dullien	dullien	NOUN
iogr-1312	14	73	1992	1992	NUM
iogr-1312	14	74	;	;	PUNCT
iogr-1312	14	75	byrnes	byrnes	PROPN
iogr-1312	14	76	1994	1994	NUM
iogr-1312	14	77	)	)	PUNCT
iogr-1312	14	78	.	.	PUNCT
iogr-1312	15	1	accurate	accurate	ADJ
iogr-1312	15	2	permeability	permeability	NOUN
iogr-1312	15	3	prediction	prediction	NOUN
iogr-1312	15	4	from	from	ADP
iogr-1312	15	5	well	well	ADV
iogr-1312	15	6	log	log	PROPN
iogr-1312	15	7	data	datum	NOUN
iogr-1312	15	8	can	can	AUX
iogr-1312	15	9	significantly	significantly	ADV
iogr-1312	15	10	enhance	enhance	VERB
iogr-1312	15	11	reservoir	reservoir	NOUN
iogr-1312	15	12	management	management	NOUN
iogr-1312	15	13	by	by	ADP
iogr-1312	15	14	providing	provide	VERB
iogr-1312	15	15	critical	critical	ADJ
iogr-1312	15	16	insights	insight	NOUN
iogr-1312	15	17	into	into	ADP
iogr-1312	15	18	fluid	fluid	ADJ
iogr-1312	15	19	flow	flow	NOUN
iogr-1312	15	20	and	and	CCONJ
iogr-1312	15	21	reservoir	reservoir	NOUN
iogr-1312	15	22	performance	performance	NOUN
iogr-1312	15	23	.	.	PUNCT
iogr-1312	16	1	traditional	traditional	ADJ
iogr-1312	16	2	methods	method	NOUN
iogr-1312	16	3	for	for	ADP
iogr-1312	16	4	predicting	predict	VERB
iogr-1312	16	5	these	these	DET
iogr-1312	16	6	properties	property	NOUN
iogr-1312	16	7	often	often	ADV
iogr-1312	16	8	rely	rely	VERB
iogr-1312	16	9	on	on	ADP
iogr-1312	16	10	linear	linear	ADJ
iogr-1312	16	11	regression	regression	NOUN
iogr-1312	16	12	models	model	NOUN
iogr-1312	16	13	,	,	PUNCT
iogr-1312	16	14	which	which	PRON
iogr-1312	16	15	,	,	PUNCT
iogr-1312	16	16	while	while	SCONJ
iogr-1312	16	17	straightforward	straightforward	ADJ
iogr-1312	16	18	and	and	CCONJ
iogr-1312	16	19	interpretable	interpretable	ADJ
iogr-1312	16	20	,	,	PUNCT
iogr-1312	16	21	may	may	AUX
iogr-1312	16	22	not	not	PART
iogr-1312	16	23	fully	fully	ADV
iogr-1312	16	24	capture	capture	VERB
iogr-1312	16	25	the	the	DET
iogr-1312	16	26	complex	complex	ADJ
iogr-1312	16	27	,	,	PUNCT
iogr-1312	16	28	non	non	ADJ
iogr-1312	16	29	-	-	ADJ
iogr-1312	16	30	linear	linear	ADJ
iogr-1312	16	31	relationships	relationship	NOUN
iogr-1312	16	32	present	present	ADJ
iogr-1312	16	33	in	in	ADP
iogr-1312	16	34	subsurface	subsurface	NOUN
iogr-1312	16	35	geological	geological	ADJ
iogr-1312	16	36	formations	formation	NOUN
iogr-1312	16	37	(	(	PUNCT
iogr-1312	16	38	leiphart	leiphart	NOUN
iogr-1312	16	39	and	and	CCONJ
iogr-1312	16	40	hart	hart	PROPN
iogr-1312	16	41	2001	2001	NUM
iogr-1312	16	42	)	)	PUNCT
iogr-1312	16	43	.	.	PUNCT
iogr-1312	17	1	recent	recent	ADJ
iogr-1312	17	2	advancements	advancement	NOUN
iogr-1312	17	3	in	in	ADP
iogr-1312	17	4	machine	machine	NOUN
iogr-1312	17	5	learning	learning	NOUN
iogr-1312	17	6	have	have	AUX
iogr-1312	17	7	introduced	introduce	VERB
iogr-1312	17	8	more	more	ADV
iogr-1312	17	9	sophisticated	sophisticated	ADJ
iogr-1312	17	10	approaches	approach	NOUN
iogr-1312	17	11	,	,	PUNCT
iogr-1312	17	12	such	such	ADJ
iogr-1312	17	13	as	as	ADP
iogr-1312	17	14	artificial	artificial	ADJ
iogr-1312	17	15	neural	neural	ADJ
iogr-1312	17	16	networks	network	NOUN
iogr-1312	17	17	(	(	PUNCT
iogr-1312	17	18	anns	anns	PROPN
iogr-1312	17	19	)	)	PUNCT
iogr-1312	17	20	,	,	PUNCT
iogr-1312	17	21	which	which	PRON
iogr-1312	17	22	have	have	AUX
iogr-1312	17	23	shown	show	VERB
iogr-1312	17	24	promise	promise	NOUN
iogr-1312	17	25	in	in	ADP
iogr-1312	17	26	improving	improve	VERB
iogr-1312	17	27	the	the	DET
iogr-1312	17	28	accuracy	accuracy	NOUN
iogr-1312	17	29	of	of	ADP
iogr-1312	17	30	subsurface	subsurface	NOUN
iogr-1312	17	31	property	property	NOUN
iogr-1312	17	32	predictions	prediction	NOUN
iogr-1312	17	33	.	.	PUNCT
iogr-1312	18	1	the	the	DET
iogr-1312	18	2	artificial	artificial	ADJ
iogr-1312	18	3	neural	neural	ADJ
iogr-1312	18	4	network	network	NOUN
iogr-1312	18	5	(	(	PUNCT
iogr-1312	18	6	ann	ann	PROPN
iogr-1312	18	7	)	)	PUNCT
iogr-1312	18	8	technique	technique	NOUN
iogr-1312	18	9	is	be	AUX
iogr-1312	18	10	one	one	NUM
iogr-1312	18	11	of	of	ADP
iogr-1312	18	12	the	the	DET
iogr-1312	18	13	latest	late	ADJ
iogr-1312	18	14	techniques	technique	NOUN
iogr-1312	18	15	available	available	ADJ
iogr-1312	18	16	to	to	ADP
iogr-1312	18	17	the	the	DET
iogr-1312	18	18	petroleum	petroleum	NOUN
iogr-1312	18	19	industry	industry	NOUN
iogr-1312	18	20	for	for	ADP
iogr-1312	18	21	porosity	porosity	NOUN
iogr-1312	18	22	and	and	CCONJ
iogr-1312	18	23	permeability	permeability	NOUN
iogr-1312	18	24	prediction	prediction	NOUN
iogr-1312	18	25	(	(	PUNCT
iogr-1312	18	26	wills	will	NOUN
iogr-1312	18	27	2019	2019	NUM
iogr-1312	18	28	;	;	PUNCT
iogr-1312	18	29	jakhar	jakhar	PROPN
iogr-1312	18	30	and	and	CCONJ
iogr-1312	18	31	kaur	kaur	PROPN
iogr-1312	18	32	2020	2020	NUM
iogr-1312	18	33	;	;	PUNCT
iogr-1312	18	34	azim	azim	PROPN
iogr-1312	18	35	2020	2020	NUM
iogr-1312	18	36	and	and	CCONJ
iogr-1312	18	37	mailto:annagderyaev@outlook.com	mailto:annagderyaev@outlook.com	NOUN
iogr-1312	18	38	improved	improve	VERB
iogr-1312	18	39	oil	oil	NOUN
iogr-1312	18	40	and	and	CCONJ
iogr-1312	18	41	gas	gas	NOUN
iogr-1312	18	42	recovery	recovery	NOUN
iogr-1312	18	43	2	2	NUM
iogr-1312	18	44	2021	2021	NUM
iogr-1312	18	45	)	)	PUNCT
iogr-1312	18	46	.	.	PUNCT
iogr-1312	19	1	anns	anns	PROPN
iogr-1312	19	2	are	be	AUX
iogr-1312	19	3	particularly	particularly	ADV
iogr-1312	19	4	effective	effective	ADJ
iogr-1312	19	5	in	in	ADP
iogr-1312	19	6	modeling	model	VERB
iogr-1312	19	7	non	non	ADJ
iogr-1312	19	8	-	-	ADJ
iogr-1312	19	9	linear	linear	ADJ
iogr-1312	19	10	relationships	relationship	NOUN
iogr-1312	19	11	,	,	PUNCT
iogr-1312	19	12	making	make	VERB
iogr-1312	19	13	them	they	PRON
iogr-1312	19	14	a	a	DET
iogr-1312	19	15	powerful	powerful	ADJ
iogr-1312	19	16	tool	tool	NOUN
iogr-1312	19	17	for	for	ADP
iogr-1312	19	18	predicting	predict	VERB
iogr-1312	19	19	properties	property	NOUN
iogr-1312	19	20	like	like	ADP
iogr-1312	19	21	permeability	permeability	NOUN
iogr-1312	19	22	in	in	ADP
iogr-1312	19	23	geologically	geologically	ADV
iogr-1312	19	24	complex	complex	ADJ
iogr-1312	19	25	reservoirs	reservoir	NOUN
iogr-1312	19	26	.	.	PUNCT
iogr-1312	20	1	the	the	DET
iogr-1312	20	2	flexibility	flexibility	NOUN
iogr-1312	20	3	of	of	ADP
iogr-1312	20	4	anns	anns	NOUN
iogr-1312	20	5	allows	allow	VERB
iogr-1312	20	6	them	they	PRON
iogr-1312	20	7	to	to	PART
iogr-1312	20	8	learn	learn	VERB
iogr-1312	20	9	intricate	intricate	ADJ
iogr-1312	20	10	patterns	pattern	NOUN
iogr-1312	20	11	in	in	ADP
iogr-1312	20	12	data	datum	NOUN
iogr-1312	20	13	that	that	PRON
iogr-1312	20	14	linear	linear	PROPN
iogr-1312	20	15	models	model	NOUN
iogr-1312	20	16	might	might	AUX
iogr-1312	20	17	overlook	overlook	VERB
iogr-1312	20	18	,	,	PUNCT
iogr-1312	20	19	offering	offer	VERB
iogr-1312	20	20	a	a	DET
iogr-1312	20	21	more	more	ADV
iogr-1312	20	22	nuanced	nuanced	ADJ
iogr-1312	20	23	understanding	understanding	NOUN
iogr-1312	20	24	of	of	ADP
iogr-1312	20	25	reservoir	reservoir	PROPN
iogr-1312	20	26	characteristics	characteristic	NOUN
iogr-1312	20	27	(	(	PUNCT
iogr-1312	20	28	leiphart	leiphart	NOUN
iogr-1312	20	29	and	and	CCONJ
iogr-1312	20	30	hart	hart	PROPN
iogr-1312	20	31	2001	2001	NUM
iogr-1312	20	32	)	)	PUNCT
iogr-1312	20	33	.	.	PUNCT
iogr-1312	21	1	the	the	DET
iogr-1312	21	2	choice	choice	NOUN
iogr-1312	21	3	between	between	ADP
iogr-1312	21	4	linear	linear	PROPN
iogr-1312	21	5	regression	regression	NOUN
iogr-1312	21	6	models	model	NOUN
iogr-1312	21	7	and	and	CCONJ
iogr-1312	21	8	anns	anns	NOUN
iogr-1312	21	9	is	be	AUX
iogr-1312	21	10	not	not	PART
iogr-1312	21	11	merely	merely	ADV
iogr-1312	21	12	a	a	DET
iogr-1312	21	13	technical	technical	ADJ
iogr-1312	21	14	decision	decision	NOUN
iogr-1312	21	15	but	but	CCONJ
iogr-1312	21	16	one	one	NUM
iogr-1312	21	17	that	that	PRON
iogr-1312	21	18	can	can	AUX
iogr-1312	21	19	significantly	significantly	ADV
iogr-1312	21	20	impact	impact	VERB
iogr-1312	21	21	the	the	DET
iogr-1312	21	22	accuracy	accuracy	NOUN
iogr-1312	21	23	and	and	CCONJ
iogr-1312	21	24	reliability	reliability	NOUN
iogr-1312	21	25	of	of	ADP
iogr-1312	21	26	permeability	permeability	NOUN
iogr-1312	21	27	predictions	prediction	NOUN
iogr-1312	21	28	.	.	PUNCT
iogr-1312	22	1	leiphart	leiphart	NOUN
iogr-1312	22	2	and	and	CCONJ
iogr-1312	22	3	hart	hart	PROPN
iogr-1312	22	4	(	(	PUNCT
iogr-1312	22	5	2001	2001	NUM
iogr-1312	22	6	)	)	PUNCT
iogr-1312	22	7	compared	compare	VERB
iogr-1312	22	8	the	the	DET
iogr-1312	22	9	performance	performance	NOUN
iogr-1312	22	10	of	of	ADP
iogr-1312	22	11	linear	linear	ADJ
iogr-1312	22	12	regression	regression	NOUN
iogr-1312	22	13	models	model	NOUN
iogr-1312	22	14	and	and	CCONJ
iogr-1312	22	15	a	a	DET
iogr-1312	22	16	probabilistic	probabilistic	ADJ
iogr-1312	22	17	neural	neural	ADJ
iogr-1312	22	18	network	network	NOUN
iogr-1312	22	19	(	(	PUNCT
iogr-1312	22	20	pnn	pnn	PROPN
iogr-1312	22	21	)	)	PUNCT
iogr-1312	22	22	in	in	ADP
iogr-1312	22	23	predicting	predict	VERB
iogr-1312	22	24	porosity	porosity	NOUN
iogr-1312	22	25	from	from	ADP
iogr-1312	22	26	3	3	NUM
iogr-1312	22	27	-	-	PUNCT
iogr-1312	22	28	d	d	NOUN
iogr-1312	22	29	seismic	seismic	ADJ
iogr-1312	22	30	attributes	attribute	NOUN
iogr-1312	22	31	.	.	PUNCT
iogr-1312	23	1	they	they	PRON
iogr-1312	23	2	found	find	VERB
iogr-1312	23	3	that	that	SCONJ
iogr-1312	23	4	while	while	SCONJ
iogr-1312	23	5	the	the	DET
iogr-1312	23	6	linear	linear	ADJ
iogr-1312	23	7	regression	regression	NOUN
iogr-1312	23	8	model	model	NOUN
iogr-1312	23	9	provided	provide	VERB
iogr-1312	23	10	a	a	DET
iogr-1312	23	11	reasonable	reasonable	ADJ
iogr-1312	23	12	prediction	prediction	NOUN
iogr-1312	23	13	with	with	ADP
iogr-1312	23	14	an	an	DET
iogr-1312	23	15	r²	r²	NOUN
iogr-1312	23	16	of	of	ADP
iogr-1312	23	17	0.74	0.74	NUM
iogr-1312	23	18	,	,	PUNCT
iogr-1312	23	19	the	the	DET
iogr-1312	23	20	pnn	pnn	PROPN
iogr-1312	23	21	offered	offer	VERB
iogr-1312	23	22	a	a	DET
iogr-1312	23	23	better	well	ADJ
iogr-1312	23	24	correlation	correlation	NOUN
iogr-1312	23	25	(	(	PUNCT
iogr-1312	23	26	r²	r²	NOUN
iogr-1312	23	27	of	of	ADP
iogr-1312	23	28	0.82	0.82	NUM
iogr-1312	23	29	)	)	PUNCT
iogr-1312	23	30	and	and	CCONJ
iogr-1312	23	31	more	more	ADV
iogr-1312	23	32	geologically	geologically	ADV
iogr-1312	23	33	realistic	realistic	ADJ
iogr-1312	23	34	porosity	porosity	NOUN
iogr-1312	23	35	distribution	distribution	NOUN
iogr-1312	23	36	,	,	PUNCT
iogr-1312	23	37	particularly	particularly	ADV
iogr-1312	23	38	in	in	ADP
iogr-1312	23	39	complex	complex	ADJ
iogr-1312	23	40	geological	geological	ADJ
iogr-1312	23	41	settings	setting	NOUN
iogr-1312	23	42	(	(	PUNCT
iogr-1312	23	43	leiphart	leiphart	VERB
iogr-1312	23	44	and	and	CCONJ
iogr-1312	23	45	hart	hart	PROPN
iogr-1312	23	46	2001	2001	NUM
iogr-1312	23	47	)	)	PUNCT
iogr-1312	23	48	.	.	PUNCT
iogr-1312	24	1	smith	smith	PROPN
iogr-1312	24	2	et	et	PROPN
iogr-1312	24	3	al	al	PROPN
iogr-1312	24	4	.	.	PROPN
iogr-1312	24	5	(	(	PUNCT
iogr-1312	24	6	1999	1999	NUM
iogr-1312	24	7	)	)	PUNCT
iogr-1312	24	8	introduced	introduce	VERB
iogr-1312	24	9	a	a	DET
iogr-1312	24	10	neural	neural	ADJ
iogr-1312	24	11	network	network	NOUN
iogr-1312	24	12	algorithm	algorithm	NOUN
iogr-1312	24	13	designed	design	VERB
iogr-1312	24	14	to	to	PART
iogr-1312	24	15	predict	predict	VERB
iogr-1312	24	16	porosity	porosity	NOUN
iogr-1312	24	17	,	,	PUNCT
iogr-1312	24	18	permeability	permeability	NOUN
iogr-1312	24	19	,	,	PUNCT
iogr-1312	24	20	and	and	CCONJ
iogr-1312	24	21	grain	grain	NOUN
iogr-1312	24	22	density	density	NOUN
iogr-1312	24	23	.	.	PUNCT
iogr-1312	25	1	their	their	PRON
iogr-1312	25	2	approach	approach	NOUN
iogr-1312	25	3	utilized	utilize	VERB
iogr-1312	25	4	gamma	gamma	PROPN
iogr-1312	25	5	ray	ray	PROPN
iogr-1312	25	6	,	,	PUNCT
iogr-1312	25	7	neutron	neutron	NOUN
iogr-1312	25	8	porosity	porosity	NOUN
iogr-1312	25	9	,	,	PUNCT
iogr-1312	25	10	and	and	CCONJ
iogr-1312	25	11	sonic	sonic	ADJ
iogr-1312	25	12	travel	travel	NOUN
iogr-1312	25	13	time	time	NOUN
iogr-1312	25	14	as	as	ADP
iogr-1312	25	15	input	input	NOUN
iogr-1312	25	16	variables	variable	NOUN
iogr-1312	25	17	,	,	PUNCT
iogr-1312	25	18	and	and	CCONJ
iogr-1312	25	19	the	the	DET
iogr-1312	25	20	predicted	predict	VERB
iogr-1312	25	21	results	result	NOUN
iogr-1312	25	22	were	be	AUX
iogr-1312	25	23	compared	compare	VERB
iogr-1312	25	24	to	to	ADP
iogr-1312	25	25	actual	actual	ADJ
iogr-1312	25	26	core	core	NOUN
iogr-1312	25	27	data	datum	NOUN
iogr-1312	25	28	,	,	PUNCT
iogr-1312	25	29	with	with	ADP
iogr-1312	25	30	errors	error	NOUN
iogr-1312	25	31	assessed	assess	VERB
iogr-1312	25	32	against	against	ADP
iogr-1312	25	33	specified	specified	ADJ
iogr-1312	25	34	tolerances	tolerance	NOUN
iogr-1312	25	35	.	.	PUNCT
iogr-1312	26	1	similarly	similarly	ADV
iogr-1312	26	2	,	,	PUNCT
iogr-1312	26	3	osborne	osborne	PROPN
iogr-1312	26	4	(	(	PUNCT
iogr-1312	26	5	1992	1992	NUM
iogr-1312	26	6	)	)	PUNCT
iogr-1312	26	7	employed	employ	VERB
iogr-1312	26	8	a	a	DET
iogr-1312	26	9	back	back	ADJ
iogr-1312	26	10	propagation	propagation	NOUN
iogr-1312	26	11	neural	neural	ADJ
iogr-1312	26	12	network	network	NOUN
iogr-1312	26	13	to	to	PART
iogr-1312	26	14	estimate	estimate	VERB
iogr-1312	26	15	permeability	permeability	NOUN
iogr-1312	26	16	using	use	VERB
iogr-1312	26	17	porosity	porosity	NOUN
iogr-1312	26	18	and	and	CCONJ
iogr-1312	26	19	reservoir	reservoir	NOUN
iogr-1312	26	20	flow	flow	NOUN
iogr-1312	26	21	units	unit	NOUN
iogr-1312	26	22	as	as	ADP
iogr-1312	26	23	inputs	input	NOUN
iogr-1312	26	24	.	.	PUNCT
iogr-1312	27	1	however	however	ADV
iogr-1312	27	2	,	,	PUNCT
iogr-1312	27	3	the	the	DET
iogr-1312	27	4	robustness	robustness	NOUN
iogr-1312	27	5	of	of	ADP
iogr-1312	27	6	the	the	DET
iogr-1312	27	7	model	model	NOUN
iogr-1312	27	8	was	be	AUX
iogr-1312	27	9	questionable	questionable	ADJ
iogr-1312	27	10	as	as	SCONJ
iogr-1312	27	11	it	it	PRON
iogr-1312	27	12	was	be	AUX
iogr-1312	27	13	developed	develop	VERB
iogr-1312	27	14	using	use	VERB
iogr-1312	27	15	the	the	DET
iogr-1312	27	16	same	same	ADJ
iogr-1312	27	17	data	datum	NOUN
iogr-1312	27	18	for	for	ADP
iogr-1312	27	19	both	both	DET
iogr-1312	27	20	training	training	NOUN
iogr-1312	27	21	and	and	CCONJ
iogr-1312	27	22	testing	testing	NOUN
iogr-1312	27	23	,	,	PUNCT
iogr-1312	27	24	with	with	ADP
iogr-1312	27	25	only	only	ADV
iogr-1312	27	26	about	about	ADV
iogr-1312	27	27	10	10	NUM
iogr-1312	27	28	%	%	NOUN
iogr-1312	27	29	of	of	ADP
iogr-1312	27	30	the	the	DET
iogr-1312	27	31	data	datum	NOUN
iogr-1312	27	32	used	use	VERB
iogr-1312	27	33	for	for	ADP
iogr-1312	27	34	these	these	DET
iogr-1312	27	35	purposes	purpose	NOUN
iogr-1312	27	36	.	.	PUNCT
iogr-1312	28	1	despite	despite	SCONJ
iogr-1312	28	2	this	this	DET
iogr-1312	28	3	limitation	limitation	NOUN
iogr-1312	28	4	,	,	PUNCT
iogr-1312	28	5	osborne	osborne	PROPN
iogr-1312	28	6	found	find	VERB
iogr-1312	28	7	that	that	SCONJ
iogr-1312	28	8	the	the	DET
iogr-1312	28	9	neural	neural	ADJ
iogr-1312	28	10	network	network	NOUN
iogr-1312	28	11	model	model	NOUN
iogr-1312	28	12	's	's	PART
iogr-1312	28	13	permeability	permeability	NOUN
iogr-1312	28	14	predictions	prediction	NOUN
iogr-1312	28	15	were	be	AUX
iogr-1312	28	16	superior	superior	ADJ
iogr-1312	28	17	to	to	ADP
iogr-1312	28	18	those	those	PRON
iogr-1312	28	19	obtained	obtain	VERB
iogr-1312	28	20	from	from	ADP
iogr-1312	28	21	a	a	DET
iogr-1312	28	22	regression	regression	NOUN
iogr-1312	28	23	model	model	NOUN
iogr-1312	28	24	.	.	PUNCT
iogr-1312	29	1	jian	jian	PROPN
iogr-1312	29	2	et	et	PROPN
iogr-1312	29	3	al	al	PROPN
iogr-1312	29	4	.	.	PROPN
iogr-1312	30	1	(	(	PUNCT
iogr-1312	30	2	1995	1995	NUM
iogr-1312	30	3	)	)	PUNCT
iogr-1312	30	4	conducted	conduct	VERB
iogr-1312	30	5	a	a	DET
iogr-1312	30	6	case	case	NOUN
iogr-1312	30	7	study	study	NOUN
iogr-1312	30	8	comparing	compare	VERB
iogr-1312	30	9	genetic	genetic	ADJ
iogr-1312	30	10	and	and	CCONJ
iogr-1312	30	11	non	non	ADJ
iogr-1312	30	12	-	-	ADJ
iogr-1312	30	13	genetic	genetic	ADJ
iogr-1312	30	14	approaches	approach	NOUN
iogr-1312	30	15	for	for	ADP
iogr-1312	30	16	predicting	predict	VERB
iogr-1312	30	17	porosity	porosity	NOUN
iogr-1312	30	18	and	and	CCONJ
iogr-1312	30	19	permeability	permeability	NOUN
iogr-1312	30	20	.	.	PUNCT
iogr-1312	31	1	additionally	additionally	ADV
iogr-1312	31	2	,	,	PUNCT
iogr-1312	31	3	other	other	ADJ
iogr-1312	31	4	research	research	NOUN
iogr-1312	31	5	has	have	AUX
iogr-1312	31	6	employed	employ	VERB
iogr-1312	31	7	various	various	ADJ
iogr-1312	31	8	machine	machine	NOUN
iogr-1312	31	9	learning	learn	VERB
iogr-1312	31	10	techniques	technique	NOUN
iogr-1312	31	11	to	to	PART
iogr-1312	31	12	predict	predict	VERB
iogr-1312	31	13	porosity	porosity	NOUN
iogr-1312	31	14	and	and	CCONJ
iogr-1312	31	15	permeability	permeability	NOUN
iogr-1312	31	16	at	at	ADP
iogr-1312	31	17	different	different	ADJ
iogr-1312	31	18	depths	depth	NOUN
iogr-1312	31	19	(	(	PUNCT
iogr-1312	31	20	huang	huang	PROPN
iogr-1312	31	21	et	et	PROPN
iogr-1312	31	22	al	al	PROPN
iogr-1312	31	23	.	.	PROPN
iogr-1312	31	24	1996	1996	NUM
iogr-1312	31	25	;	;	PUNCT
iogr-1312	31	26	huang	huang	PROPN
iogr-1312	31	27	and	and	CCONJ
iogr-1312	31	28	williamson	williamson	PROPN
iogr-1312	31	29	1997	1997	NUM
iogr-1312	31	30	;	;	PUNCT
iogr-1312	31	31	helle	helle	PROPN
iogr-1312	31	32	et	et	PROPN
iogr-1312	31	33	al	al	PROPN
iogr-1312	31	34	.	.	PROPN
iogr-1312	31	35	2001	2001	NUM
iogr-1312	31	36	;	;	PUNCT
iogr-1312	31	37	rwechungura	rwechungura	PROPN
iogr-1312	31	38	et	et	PROPN
iogr-1312	31	39	al	al	PROPN
iogr-1312	31	40	.	.	PROPN
iogr-1312	31	41	2011	2011	NUM
iogr-1312	31	42	;	;	PUNCT
iogr-1312	31	43	saputro	saputro	VERB
iogr-1312	31	44	et	et	PROPN
iogr-1312	31	45	al	al	PROPN
iogr-1312	31	46	.	.	PROPN
iogr-1312	31	47	2016	2016	NUM
iogr-1312	31	48	;	;	PUNCT
iogr-1312	31	49	ahmadi	ahmadi	PROPN
iogr-1312	31	50	and	and	CCONJ
iogr-1312	31	51	chen	chen	PROPN
iogr-1312	31	52	2019	2019	NUM
iogr-1312	31	53	)	)	PUNCT
iogr-1312	31	54	.	.	PUNCT
iogr-1312	32	1	the	the	DET
iogr-1312	32	2	growing	grow	VERB
iogr-1312	32	3	interest	interest	NOUN
iogr-1312	32	4	in	in	ADP
iogr-1312	32	5	machine	machine	NOUN
iogr-1312	32	6	learning	learn	VERB
iogr-1312	32	7	techniques	technique	NOUN
iogr-1312	32	8	,	,	PUNCT
iogr-1312	32	9	such	such	ADJ
iogr-1312	32	10	as	as	ADP
iogr-1312	32	11	anns	ann	NOUN
iogr-1312	32	12	,	,	PUNCT
iogr-1312	32	13	reflects	reflect	VERB
iogr-1312	32	14	their	their	PRON
iogr-1312	32	15	potential	potential	NOUN
iogr-1312	32	16	to	to	PART
iogr-1312	32	17	enhance	enhance	VERB
iogr-1312	32	18	reservoir	reservoir	NOUN
iogr-1312	32	19	characterization	characterization	NOUN
iogr-1312	32	20	.	.	PUNCT
iogr-1312	33	1	these	these	DET
iogr-1312	33	2	models	model	NOUN
iogr-1312	33	3	can	can	AUX
iogr-1312	33	4	handle	handle	VERB
iogr-1312	33	5	large	large	ADJ
iogr-1312	33	6	datasets	dataset	NOUN
iogr-1312	33	7	with	with	ADP
iogr-1312	33	8	multiple	multiple	ADJ
iogr-1312	33	9	variables	variable	NOUN
iogr-1312	33	10	,	,	PUNCT
iogr-1312	33	11	identifying	identify	VERB
iogr-1312	33	12	patterns	pattern	NOUN
iogr-1312	33	13	and	and	CCONJ
iogr-1312	33	14	correlations	correlation	NOUN
iogr-1312	33	15	that	that	PRON
iogr-1312	33	16	may	may	AUX
iogr-1312	33	17	not	not	PART
iogr-1312	33	18	be	be	AUX
iogr-1312	33	19	apparent	apparent	ADJ
iogr-1312	33	20	with	with	ADP
iogr-1312	33	21	traditional	traditional	ADJ
iogr-1312	33	22	statistical	statistical	ADJ
iogr-1312	33	23	methods	method	NOUN
iogr-1312	33	24	.	.	PUNCT
iogr-1312	34	1	this	this	DET
iogr-1312	34	2	capability	capability	NOUN
iogr-1312	34	3	is	be	AUX
iogr-1312	34	4	particularly	particularly	ADV
iogr-1312	34	5	useful	useful	ADJ
iogr-1312	34	6	in	in	ADP
iogr-1312	34	7	the	the	DET
iogr-1312	34	8	oil	oil	NOUN
iogr-1312	34	9	and	and	CCONJ
iogr-1312	34	10	gas	gas	NOUN
iogr-1312	34	11	industry	industry	NOUN
iogr-1312	34	12	,	,	PUNCT
iogr-1312	34	13	where	where	SCONJ
iogr-1312	34	14	datasets	dataset	NOUN
iogr-1312	34	15	are	be	AUX
iogr-1312	34	16	often	often	ADV
iogr-1312	34	17	extensive	extensive	ADJ
iogr-1312	34	18	and	and	CCONJ
iogr-1312	34	19	complex	complex	ADJ
iogr-1312	34	20	,	,	PUNCT
iogr-1312	34	21	requiring	require	VERB
iogr-1312	34	22	advanced	advanced	ADJ
iogr-1312	34	23	techniques	technique	NOUN
iogr-1312	34	24	for	for	ADP
iogr-1312	34	25	effective	effective	ADJ
iogr-1312	34	26	analysis	analysis	NOUN
iogr-1312	34	27	and	and	CCONJ
iogr-1312	34	28	interpretation	interpretation	NOUN
iogr-1312	34	29	(	(	PUNCT
iogr-1312	34	30	leiphart	leiphart	NOUN
iogr-1312	34	31	2001	2001	NUM
iogr-1312	34	32	)	)	PUNCT
iogr-1312	34	33	.	.	PUNCT
iogr-1312	35	1	despite	despite	SCONJ
iogr-1312	35	2	the	the	DET
iogr-1312	35	3	advantages	advantage	NOUN
iogr-1312	35	4	of	of	ADP
iogr-1312	35	5	anns	ann	NOUN
iogr-1312	35	6	,	,	PUNCT
iogr-1312	35	7	their	their	PRON
iogr-1312	35	8	application	application	NOUN
iogr-1312	35	9	in	in	ADP
iogr-1312	35	10	reservoir	reservoir	NOUN
iogr-1312	35	11	characterization	characterization	NOUN
iogr-1312	35	12	is	be	AUX
iogr-1312	35	13	not	not	PART
iogr-1312	35	14	without	without	ADP
iogr-1312	35	15	challenges	challenge	NOUN
iogr-1312	35	16	.	.	PUNCT
iogr-1312	36	1	the	the	DET
iogr-1312	36	2	"	"	PUNCT
iogr-1312	36	3	black	black	ADJ
iogr-1312	36	4	box	box	NOUN
iogr-1312	36	5	"	"	PUNCT
iogr-1312	36	6	nature	nature	NOUN
iogr-1312	36	7	of	of	ADP
iogr-1312	36	8	these	these	DET
iogr-1312	36	9	models	model	NOUN
iogr-1312	36	10	can	can	AUX
iogr-1312	36	11	make	make	VERB
iogr-1312	36	12	them	they	PRON
iogr-1312	36	13	less	less	ADV
iogr-1312	36	14	interpretable	interpretable	ADJ
iogr-1312	36	15	compared	compare	VERB
iogr-1312	36	16	to	to	ADP
iogr-1312	36	17	linear	linear	ADJ
iogr-1312	36	18	regression	regression	NOUN
iogr-1312	36	19	models	model	NOUN
iogr-1312	36	20	,	,	PUNCT
iogr-1312	36	21	posing	pose	VERB
iogr-1312	36	22	a	a	DET
iogr-1312	36	23	challenge	challenge	NOUN
iogr-1312	36	24	for	for	ADP
iogr-1312	36	25	geologists	geologist	NOUN
iogr-1312	36	26	and	and	CCONJ
iogr-1312	36	27	engineers	engineer	NOUN
iogr-1312	36	28	who	who	PRON
iogr-1312	36	29	need	need	VERB
iogr-1312	36	30	to	to	PART
iogr-1312	36	31	understand	understand	VERB
iogr-1312	36	32	the	the	DET
iogr-1312	36	33	rationale	rationale	NOUN
iogr-1312	36	34	behind	behind	ADP
iogr-1312	36	35	predictions	prediction	NOUN
iogr-1312	36	36	.	.	PUNCT
iogr-1312	37	1	however	however	ADV
iogr-1312	37	2	,	,	PUNCT
iogr-1312	37	3	when	when	SCONJ
iogr-1312	37	4	applied	apply	VERB
iogr-1312	37	5	correctly	correctly	ADV
iogr-1312	37	6	and	and	CCONJ
iogr-1312	37	7	validated	validate	VERB
iogr-1312	37	8	against	against	ADP
iogr-1312	37	9	geological	geological	ADJ
iogr-1312	37	10	data	datum	NOUN
iogr-1312	37	11	,	,	PUNCT
iogr-1312	37	12	anns	anns	PROPN
iogr-1312	37	13	can	can	AUX
iogr-1312	37	14	provide	provide	VERB
iogr-1312	37	15	significant	significant	ADJ
iogr-1312	37	16	improvements	improvement	NOUN
iogr-1312	37	17	in	in	ADP
iogr-1312	37	18	prediction	prediction	NOUN
iogr-1312	37	19	accuracy	accuracy	NOUN
iogr-1312	37	20	,	,	PUNCT
iogr-1312	37	21	as	as	SCONJ
iogr-1312	37	22	demonstrated	demonstrate	VERB
iogr-1312	37	23	in	in	ADP
iogr-1312	37	24	various	various	ADJ
iogr-1312	37	25	case	case	NOUN
iogr-1312	37	26	studies	study	NOUN
iogr-1312	37	27	and	and	CCONJ
iogr-1312	37	28	research	research	NOUN
iogr-1312	37	29	(	(	PUNCT
iogr-1312	37	30	leiphart	leiphart	NOUN
iogr-1312	37	31	and	and	CCONJ
iogr-1312	37	32	hart	hart	PROPN
iogr-1312	37	33	2001	2001	NUM
iogr-1312	37	34	)	)	PUNCT
iogr-1312	37	35	.	.	PUNCT
iogr-1312	38	1	in	in	ADP
iogr-1312	38	2	this	this	DET
iogr-1312	38	3	study	study	NOUN
iogr-1312	38	4	,	,	PUNCT
iogr-1312	38	5	we	we	PRON
iogr-1312	38	6	aim	aim	VERB
iogr-1312	38	7	to	to	PART
iogr-1312	38	8	explore	explore	VERB
iogr-1312	38	9	and	and	CCONJ
iogr-1312	38	10	compare	compare	VERB
iogr-1312	38	11	the	the	DET
iogr-1312	38	12	efficacy	efficacy	NOUN
iogr-1312	38	13	of	of	ADP
iogr-1312	38	14	linear	linear	PROPN
iogr-1312	38	15	regression	regression	NOUN
iogr-1312	38	16	and	and	CCONJ
iogr-1312	38	17	ann	ann	NOUN
iogr-1312	38	18	models	model	NOUN
iogr-1312	38	19	in	in	ADP
iogr-1312	38	20	predicting	predict	VERB
iogr-1312	38	21	permeability	permeability	NOUN
iogr-1312	38	22	from	from	ADP
iogr-1312	38	23	well	well	INTJ
iogr-1312	38	24	log	log	PROPN
iogr-1312	38	25	data	datum	NOUN
iogr-1312	38	26	.	.	PUNCT
iogr-1312	39	1	by	by	ADP
iogr-1312	39	2	evaluating	evaluate	VERB
iogr-1312	39	3	these	these	DET
iogr-1312	39	4	two	two	NUM
iogr-1312	39	5	approaches	approach	NOUN
iogr-1312	39	6	in	in	ADP
iogr-1312	39	7	a	a	DET
iogr-1312	39	8	real	real	ADJ
iogr-1312	39	9	-	-	PUNCT
iogr-1312	39	10	world	world	NOUN
iogr-1312	39	11	scenario	scenario	NOUN
iogr-1312	39	12	,	,	PUNCT
iogr-1312	39	13	we	we	PRON
iogr-1312	39	14	seek	seek	VERB
iogr-1312	39	15	to	to	PART
iogr-1312	39	16	identify	identify	VERB
iogr-1312	39	17	the	the	DET
iogr-1312	39	18	strengths	strength	NOUN
iogr-1312	39	19	and	and	CCONJ
iogr-1312	39	20	limitations	limitation	NOUN
iogr-1312	39	21	of	of	ADP
iogr-1312	39	22	each	each	DET
iogr-1312	39	23	method	method	NOUN
iogr-1312	39	24	,	,	PUNCT
iogr-1312	39	25	providing	provide	VERB
iogr-1312	39	26	insights	insight	NOUN
iogr-1312	39	27	that	that	PRON
iogr-1312	39	28	can	can	AUX
iogr-1312	39	29	guide	guide	VERB
iogr-1312	39	30	the	the	DET
iogr-1312	39	31	selection	selection	NOUN
iogr-1312	39	32	of	of	ADP
iogr-1312	39	33	appropriate	appropriate	ADJ
iogr-1312	39	34	modeling	modeling	NOUN
iogr-1312	39	35	techniques	technique	NOUN
iogr-1312	39	36	for	for	ADP
iogr-1312	39	37	reservoir	reservoir	NOUN
iogr-1312	39	38	characterization	characterization	NOUN
iogr-1312	39	39	.	.	PUNCT
iogr-1312	40	1	the	the	DET
iogr-1312	40	2	results	result	NOUN
iogr-1312	40	3	of	of	ADP
iogr-1312	40	4	this	this	DET
iogr-1312	40	5	comparison	comparison	NOUN
iogr-1312	40	6	will	will	AUX
iogr-1312	40	7	contribute	contribute	VERB
iogr-1312	40	8	to	to	ADP
iogr-1312	40	9	the	the	DET
iogr-1312	40	10	ongoing	ongoing	ADJ
iogr-1312	40	11	discourse	discourse	NOUN
iogr-1312	40	12	on	on	ADP
iogr-1312	40	13	the	the	DET
iogr-1312	40	14	application	application	NOUN
iogr-1312	40	15	of	of	ADP
iogr-1312	40	16	machine	machine	NOUN
iogr-1312	40	17	learning	learning	NOUN
iogr-1312	40	18	in	in	ADP
iogr-1312	40	19	the	the	DET
iogr-1312	40	20	geosciences	geoscience	NOUN
iogr-1312	40	21	,	,	PUNCT
iogr-1312	40	22	offering	offer	VERB
iogr-1312	40	23	practical	practical	ADJ
iogr-1312	40	24	recommendations	recommendation	NOUN
iogr-1312	40	25	for	for	ADP
iogr-1312	40	26	enhancing	enhance	VERB
iogr-1312	40	27	prediction	prediction	NOUN
iogr-1312	40	28	accuracy	accuracy	NOUN
iogr-1312	40	29	in	in	ADP
iogr-1312	40	30	complex	complex	ADJ
iogr-1312	40	31	reservoir	reservoir	NOUN
iogr-1312	40	32	environments	environment	NOUN
iogr-1312	40	33	.	.	PUNCT
iogr-1312	41	1	materials	material	NOUN
iogr-1312	41	2	and	and	CCONJ
iogr-1312	41	3	method	method	NOUN
iogr-1312	41	4	software	software	NOUN
iogr-1312	41	5	suites	suite	NOUN
iogr-1312	41	6	.	.	PUNCT
iogr-1312	42	1	for	for	ADP
iogr-1312	42	2	this	this	DET
iogr-1312	42	3	study	study	NOUN
iogr-1312	42	4	,	,	PUNCT
iogr-1312	42	5	two	two	NUM
iogr-1312	42	6	primary	primary	ADJ
iogr-1312	42	7	software	software	NOUN
iogr-1312	42	8	suites	suite	NOUN
iogr-1312	42	9	were	be	AUX
iogr-1312	42	10	employed	employ	VERB
iogr-1312	42	11	:	:	PUNCT
iogr-1312	42	12	1	1	X
iogr-1312	42	13	.	.	X
iogr-1312	42	14	matlab	matlab	PROPN
iogr-1312	42	15	(	(	PUNCT
iogr-1312	42	16	version	version	NOUN
iogr-1312	42	17	2024	2024	NUM
iogr-1312	42	18	):	):	PUNCT
iogr-1312	42	19	matlab	matlab	PROPN
iogr-1312	42	20	was	be	AUX
iogr-1312	42	21	utilized	utilize	VERB
iogr-1312	42	22	for	for	ADP
iogr-1312	42	23	various	various	ADJ
iogr-1312	42	24	tasks	task	NOUN
iogr-1312	42	25	,	,	PUNCT
iogr-1312	42	26	including	include	VERB
iogr-1312	42	27	the	the	DET
iogr-1312	42	28	development	development	NOUN
iogr-1312	42	29	of	of	ADP
iogr-1312	42	30	linear	linear	PROPN
iogr-1312	42	31	regression	regression	NOUN
iogr-1312	42	32	models	model	NOUN
iogr-1312	42	33	and	and	CCONJ
iogr-1312	42	34	artificial	artificial	ADJ
iogr-1312	42	35	neural	neural	ADJ
iogr-1312	42	36	networks	network	NOUN
iogr-1312	42	37	(	(	PUNCT
iogr-1312	42	38	anns	anns	PROPN
iogr-1312	42	39	)	)	PUNCT
iogr-1312	42	40	.	.	PUNCT
iogr-1312	43	1	the	the	DET
iogr-1312	43	2	neural	neural	ADJ
iogr-1312	43	3	network	network	NOUN
iogr-1312	43	4	toolbox	toolbox	NOUN
iogr-1312	43	5	in	in	ADP
iogr-1312	43	6	matlab	matlab	PROPN
iogr-1312	43	7	played	play	VERB
iogr-1312	43	8	a	a	DET
iogr-1312	43	9	crucial	crucial	ADJ
iogr-1312	43	10	role	role	NOUN
iogr-1312	43	11	in	in	ADP
iogr-1312	43	12	training	training	NOUN
iogr-1312	43	13	,	,	PUNCT
iogr-1312	43	14	validating	validate	VERB
iogr-1312	43	15	,	,	PUNCT
iogr-1312	43	16	and	and	CCONJ
iogr-1312	43	17	testing	test	VERB
iogr-1312	43	18	the	the	DET
iogr-1312	43	19	ann	ann	PROPN
iogr-1312	43	20	for	for	ADP
iogr-1312	43	21	permeability	permeability	NOUN
iogr-1312	43	22	prediction	prediction	NOUN
iogr-1312	43	23	.	.	PUNCT
iogr-1312	44	1	2	2	X
iogr-1312	44	2	.	.	X
iogr-1312	44	3	microsoft	microsoft	PROPN
iogr-1312	44	4	office	office	PROPN
iogr-1312	44	5	excel	excel	VERB
iogr-1312	44	6	(	(	PUNCT
iogr-1312	44	7	version	version	NOUN
iogr-1312	44	8	2013	2013	NUM
iogr-1312	44	9	):	):	PUNCT
iogr-1312	44	10	excel	excel	PROPN
iogr-1312	44	11	was	be	AUX
iogr-1312	44	12	used	use	VERB
iogr-1312	44	13	for	for	ADP
iogr-1312	44	14	data	datum	NOUN
iogr-1312	44	15	collation	collation	NOUN
iogr-1312	44	16	,	,	PUNCT
iogr-1312	44	17	computation	computation	NOUN
iogr-1312	44	18	of	of	ADP
iogr-1312	44	19	statistical	statistical	ADJ
iogr-1312	44	20	performance	performance	NOUN
iogr-1312	44	21	indicators	indicator	NOUN
iogr-1312	44	22	,	,	PUNCT
iogr-1312	44	23	and	and	CCONJ
iogr-1312	44	24	cross	cross	ADJ
iogr-1312	44	25	-	-	ADJ
iogr-1312	44	26	plot	plot	ADJ
iogr-1312	44	27	generation	generation	NOUN
iogr-1312	44	28	for	for	ADP
iogr-1312	44	29	model	model	NOUN
iogr-1312	44	30	validation	validation	NOUN
iogr-1312	44	31	.	.	PUNCT
iogr-1312	45	1	the	the	DET
iogr-1312	45	2	data	datum	NOUN
iogr-1312	45	3	analysis	analysis	NOUN
iogr-1312	45	4	toolpak	toolpak	NOUN
iogr-1312	45	5	within	within	ADP
iogr-1312	45	6	excel	excel	NOUN
iogr-1312	45	7	was	be	AUX
iogr-1312	45	8	specifically	specifically	ADV
iogr-1312	45	9	employed	employ	VERB
iogr-1312	45	10	for	for	ADP
iogr-1312	45	11	plotting	plot	VERB
iogr-1312	45	12	pearson	pearson	NOUN
iogr-1312	45	13	’s	’s	PART
iogr-1312	45	14	correlation	correlation	NOUN
iogr-1312	45	15	matrix	matrix	NOUN
iogr-1312	45	16	,	,	PUNCT
iogr-1312	45	17	aiding	aid	VERB
iogr-1312	45	18	in	in	ADP
iogr-1312	45	19	feature	feature	NOUN
iogr-1312	45	20	selection	selection	NOUN
iogr-1312	45	21	.	.	PUNCT
iogr-1312	46	1	improved	improve	VERB
iogr-1312	46	2	oil	oil	NOUN
iogr-1312	46	3	and	and	CCONJ
iogr-1312	46	4	gas	gas	NOUN
iogr-1312	46	5	recovery	recovery	NOUN
iogr-1312	46	6	3	3	NUM
iogr-1312	46	7	data	data	NOUN
iogr-1312	46	8	collection	collection	NOUN
iogr-1312	46	9	and	and	CCONJ
iogr-1312	46	10	description	description	NOUN
iogr-1312	46	11	.	.	PUNCT
iogr-1312	47	1	the	the	DET
iogr-1312	47	2	dataset	dataset	NOUN
iogr-1312	47	3	used	use	VERB
iogr-1312	47	4	in	in	ADP
iogr-1312	47	5	this	this	DET
iogr-1312	47	6	study	study	NOUN
iogr-1312	47	7	was	be	AUX
iogr-1312	47	8	obtained	obtain	VERB
iogr-1312	47	9	from	from	ADP
iogr-1312	47	10	open	open	ADJ
iogr-1312	47	11	source	source	NOUN
iogr-1312	47	12	(	(	PUNCT
iogr-1312	47	13	kaggle	kaggle	PROPN
iogr-1312	47	14	)	)	PUNCT
iogr-1312	47	15	.	.	PUNCT
iogr-1312	48	1	the	the	DET
iogr-1312	48	2	dataset	dataset	NOUN
iogr-1312	48	3	consists	consist	VERB
iogr-1312	48	4	of	of	ADP
iogr-1312	48	5	log	log	NOUN
iogr-1312	48	6	data	datum	NOUN
iogr-1312	48	7	and	and	CCONJ
iogr-1312	48	8	core	core	NOUN
iogr-1312	48	9	data	datum	NOUN
iogr-1312	48	10	,	,	PUNCT
iogr-1312	48	11	with	with	ADP
iogr-1312	48	12	a	a	DET
iogr-1312	48	13	total	total	NOUN
iogr-1312	48	14	of	of	ADP
iogr-1312	48	15	8,739	8,739	NUM
iogr-1312	48	16	data	datum	NOUN
iogr-1312	48	17	points	point	NOUN
iogr-1312	48	18	.	.	PUNCT
iogr-1312	49	1	the	the	DET
iogr-1312	49	2	available	available	ADJ
iogr-1312	49	3	log	log	NOUN
iogr-1312	49	4	data	datum	NOUN
iogr-1312	49	5	includes	include	VERB
iogr-1312	49	6	gamma	gamma	PROPN
iogr-1312	49	7	ray	ray	PROPN
iogr-1312	49	8	(	(	PUNCT
iogr-1312	49	9	gr	gr	NOUN
iogr-1312	49	10	)	)	PUNCT
iogr-1312	49	11	,	,	PUNCT
iogr-1312	49	12	bulk	bulk	ADJ
iogr-1312	49	13	density	density	NOUN
iogr-1312	49	14	(	(	PUNCT
iogr-1312	49	15	rhob	rhob	NOUN
iogr-1312	49	16	)	)	PUNCT
iogr-1312	49	17	,	,	PUNCT
iogr-1312	49	18	and	and	CCONJ
iogr-1312	49	19	deep	deep	ADJ
iogr-1312	49	20	induction	induction	NOUN
iogr-1312	49	21	resistivity	resistivity	NOUN
iogr-1312	49	22	(	(	PUNCT
iogr-1312	49	23	rild	rild	NOUN
iogr-1312	49	24	)	)	PUNCT
iogr-1312	49	25	.	.	PUNCT
iogr-1312	50	1	corresponding	correspond	VERB
iogr-1312	50	2	core	core	NOUN
iogr-1312	50	3	data	datum	NOUN
iogr-1312	50	4	for	for	ADP
iogr-1312	50	5	each	each	DET
iogr-1312	50	6	log	log	NOUN
iogr-1312	50	7	data	data	NOUN
iogr-1312	50	8	point	point	NOUN
iogr-1312	50	9	includes	include	VERB
iogr-1312	50	10	core	core	ADJ
iogr-1312	50	11	permeability	permeability	NOUN
iogr-1312	50	12	values	value	NOUN
iogr-1312	50	13	.	.	PUNCT
iogr-1312	51	1	table	table	NOUN
iogr-1312	51	2	1	1	NUM
iogr-1312	51	3	shows	show	VERB
iogr-1312	51	4	a	a	DET
iogr-1312	51	5	summary	summary	NOUN
iogr-1312	51	6	of	of	ADP
iogr-1312	51	7	the	the	DET
iogr-1312	51	8	data	datum	NOUN
iogr-1312	51	9	used	use	VERB
iogr-1312	51	10	in	in	ADP
iogr-1312	51	11	this	this	DET
iogr-1312	51	12	study	study	NOUN
iogr-1312	51	13	.	.	PUNCT
iogr-1312	52	1	table	table	NOUN
iogr-1312	52	2	2	2	NUM
iogr-1312	52	3	shows	show	VERB
iogr-1312	52	4	the	the	DET
iogr-1312	52	5	statistical	statistical	ADJ
iogr-1312	52	6	analysis	analysis	NOUN
iogr-1312	52	7	of	of	ADP
iogr-1312	52	8	the	the	DET
iogr-1312	52	9	dataset	dataset	NOUN
iogr-1312	52	10	used	use	VERB
iogr-1312	52	11	in	in	ADP
iogr-1312	52	12	this	this	DET
iogr-1312	52	13	study	study	NOUN
iogr-1312	52	14	.	.	PUNCT
iogr-1312	53	1	table	table	NOUN
iogr-1312	53	2	1	1	NUM
iogr-1312	53	3	—	—	PUNCT
iogr-1312	53	4	summary	summary	NOUN
iogr-1312	53	5	of	of	ADP
iogr-1312	53	6	well	well	ADV
iogr-1312	53	7	log	log	NOUN
iogr-1312	53	8	data	datum	NOUN
iogr-1312	53	9	used	use	VERB
iogr-1312	53	10	.	.	PUNCT
iogr-1312	54	1	factor	factor	NOUN
iogr-1312	54	2	type	type	NOUN
iogr-1312	54	3	sub	sub	ADJ
iogr-1312	54	4	-	-	ADJ
iogr-1312	54	5	type	type	ADJ
iogr-1312	54	6	minimum	minimum	ADJ
iogr-1312	54	7	maximum	maximum	ADJ
iogr-1312	54	8	mean	mean	ADJ
iogr-1312	54	9	std	std	PROPN
iogr-1312	54	10	.	.	PROPN
iogr-1312	55	1	dev	dev	PROPN
iogr-1312	55	2	.	.	PUNCT
iogr-1312	55	3	gamma	gamma	PROPN
iogr-1312	55	4	ray	ray	PROPN
iogr-1312	55	5	numeric	numeric	ADP
iogr-1312	55	6	continuous	continuous	ADJ
iogr-1312	55	7	0.0058	0.0058	NUM
iogr-1312	55	8	404.29	404.29	NUM
iogr-1312	55	9	76.95	76.95	NUM
iogr-1312	55	10	33.86	33.86	NUM
iogr-1312	55	11	bulk	bulk	ADJ
iogr-1312	55	12	density	density	NOUN
iogr-1312	55	13	numeric	numeric	ADP
iogr-1312	55	14	continuous	continuous	ADJ
iogr-1312	55	15	1.19	1.19	NUM
iogr-1312	55	16	2.74	2.74	NUM
iogr-1312	55	17	2.03	2.03	NUM
iogr-1312	55	18	0.4157	0.4157	NUM
iogr-1312	55	19	deep	deep	ADJ
iogr-1312	55	20	induction	induction	NOUN
iogr-1312	55	21	resistivity	resistivity	NOUN
iogr-1312	55	22	numeric	numeric	ADP
iogr-1312	55	23	continuous	continuous	ADJ
iogr-1312	55	24	0.2104	0.2104	NUM
iogr-1312	55	25	11510.6	11510.6	NUM
iogr-1312	55	26	34.51	34.51	NUM
iogr-1312	55	27	251.24	251.24	NUM
iogr-1312	55	28	table	table	NOUN
iogr-1312	55	29	2	2	NUM
iogr-1312	55	30	—	—	PUNCT
iogr-1312	55	31	statistical	statistical	ADJ
iogr-1312	55	32	analysis	analysis	NOUN
iogr-1312	55	33	of	of	ADP
iogr-1312	55	34	the	the	DET
iogr-1312	55	35	dataset	dataset	NOUN
iogr-1312	55	36	employed	employ	VERB
iogr-1312	55	37	in	in	ADP
iogr-1312	55	38	this	this	DET
iogr-1312	55	39	study	study	NOUN
iogr-1312	55	40	.	.	PUNCT
iogr-1312	56	1	s	s	X
iogr-1312	56	2	/	/	SYM
iogr-1312	56	3	n	n	CCONJ
iogr-1312	56	4	parameters	parameter	NOUN
iogr-1312	56	5	units	unit	NOUN
iogr-1312	56	6	min	min	PROPN
iogr-1312	56	7	max	max	PROPN
iogr-1312	56	8	average	average	ADJ
iogr-1312	56	9	std	std	NOUN
iogr-1312	56	10	1	1	NUM
iogr-1312	56	11	gamma	gamma	NOUN
iogr-1312	56	12	ray	ray	NOUN
iogr-1312	56	13	,	,	PUNCT
iogr-1312	56	14	𝛾	𝛾	ADP
iogr-1312	56	15	api	api	NOUN
iogr-1312	56	16	units	unit	NOUN
iogr-1312	56	17	0.006	0.006	NUM
iogr-1312	56	18	404.288	404.288	NUM
iogr-1312	56	19	76.949	76.949	NUM
iogr-1312	56	20	33.859	33.859	NUM
iogr-1312	56	21	2	2	NUM
iogr-1312	56	22	bulk	bulk	ADJ
iogr-1312	56	23	density	density	NOUN
iogr-1312	56	24	,	,	PUNCT
iogr-1312	56	25	𝜌𝐷	𝜌𝐷	VERB
iogr-1312	56	26	g	g	NOUN
iogr-1312	56	27	/	/	SYM
iogr-1312	56	28	cm3	cm3	NOUN
iogr-1312	56	29	1.191	1.191	NUM
iogr-1312	56	30	2.742	2.742	NUM
iogr-1312	56	31	2.034	2.034	NUM
iogr-1312	56	32	0.416	0.416	NUM
iogr-1312	56	33	3	3	NUM
iogr-1312	56	34	deep	deep	ADJ
iogr-1312	56	35	induction	induction	NOUN
iogr-1312	56	36	,	,	PUNCT
iogr-1312	56	37	𝐼𝐷	𝐼𝐷	PROPN
iogr-1312	56	38	ohm	ohm	PROPN
iogr-1312	56	39	-	-	PUNCT
iogr-1312	56	40	m	m	PROPN
iogr-1312	56	41	0.210	0.210	NUM
iogr-1312	56	42	11510.642	11510.642	NUM
iogr-1312	56	43	34.512	34.512	NUM
iogr-1312	56	44	251.238	251.238	NUM
iogr-1312	56	45	4	4	NUM
iogr-1312	56	46	permeability	permeability	NOUN
iogr-1312	56	47	,	,	PUNCT
iogr-1312	56	48	k	k	PROPN
iogr-1312	56	49	md	md	PROPN
iogr-1312	56	50	0.001	0.001	NUM
iogr-1312	56	51	782.431	782.431	NUM
iogr-1312	56	52	27.628	27.628	NUM
iogr-1312	56	53	25.561	25.561	NUM
iogr-1312	56	54	linear	linear	ADJ
iogr-1312	56	55	regression	regression	NOUN
iogr-1312	56	56	model	model	NOUN
iogr-1312	56	57	.	.	PUNCT
iogr-1312	57	1	the	the	DET
iogr-1312	57	2	first	first	ADJ
iogr-1312	57	3	approach	approach	NOUN
iogr-1312	57	4	involved	involve	VERB
iogr-1312	57	5	the	the	DET
iogr-1312	57	6	development	development	NOUN
iogr-1312	57	7	of	of	ADP
iogr-1312	57	8	linear	linear	PROPN
iogr-1312	57	9	regression	regression	NOUN
iogr-1312	57	10	models	model	NOUN
iogr-1312	57	11	using	use	VERB
iogr-1312	57	12	matlab	matlab	PROPN
iogr-1312	57	13	.	.	PUNCT
iogr-1312	58	1	the	the	DET
iogr-1312	58	2	well	well	INTJ
iogr-1312	58	3	log	log	NOUN
iogr-1312	58	4	data	datum	NOUN
iogr-1312	58	5	,	,	PUNCT
iogr-1312	58	6	collected	collect	VERB
iogr-1312	58	7	from	from	ADP
iogr-1312	58	8	literature	literature	NOUN
iogr-1312	58	9	,	,	PUNCT
iogr-1312	58	10	was	be	AUX
iogr-1312	58	11	used	use	VERB
iogr-1312	58	12	to	to	PART
iogr-1312	58	13	train	train	VERB
iogr-1312	58	14	various	various	ADJ
iogr-1312	58	15	forms	form	NOUN
iogr-1312	58	16	of	of	ADP
iogr-1312	58	17	linear	linear	ADJ
iogr-1312	58	18	regression	regression	NOUN
iogr-1312	58	19	models	model	NOUN
iogr-1312	58	20	,	,	PUNCT
iogr-1312	58	21	including	include	VERB
iogr-1312	58	22	linear	linear	PROPN
iogr-1312	58	23	,	,	PUNCT
iogr-1312	58	24	interactions	interaction	NOUN
iogr-1312	58	25	linear	linear	ADJ
iogr-1312	58	26	,	,	PUNCT
iogr-1312	58	27	robust	robust	ADJ
iogr-1312	58	28	linear	linear	NOUN
iogr-1312	58	29	,	,	PUNCT
iogr-1312	58	30	and	and	CCONJ
iogr-1312	58	31	interactions	interaction	NOUN
iogr-1312	58	32	linear	linear	NOUN
iogr-1312	58	33	models	model	NOUN
iogr-1312	58	34	.	.	PUNCT
iogr-1312	59	1	each	each	DET
iogr-1312	59	2	model	model	NOUN
iogr-1312	59	3	's	's	PART
iogr-1312	59	4	performance	performance	NOUN
iogr-1312	59	5	was	be	AUX
iogr-1312	59	6	evaluated	evaluate	VERB
iogr-1312	59	7	to	to	PART
iogr-1312	59	8	identify	identify	VERB
iogr-1312	59	9	the	the	DET
iogr-1312	59	10	best	well	ADV
iogr-1312	59	11	-	-	PUNCT
iogr-1312	59	12	fitting	fit	VERB
iogr-1312	59	13	model	model	NOUN
iogr-1312	59	14	.	.	PUNCT
iogr-1312	60	1	the	the	DET
iogr-1312	60	2	general	general	ADJ
iogr-1312	60	3	form	form	NOUN
iogr-1312	60	4	of	of	ADP
iogr-1312	60	5	the	the	DET
iogr-1312	60	6	linear	linear	PROPN
iogr-1312	60	7	regression	regression	NOUN
iogr-1312	60	8	model	model	NOUN
iogr-1312	60	9	used	use	VERB
iogr-1312	60	10	in	in	ADP
iogr-1312	60	11	this	this	DET
iogr-1312	60	12	study	study	NOUN
iogr-1312	60	13	is	be	AUX
iogr-1312	60	14	given	give	VERB
iogr-1312	60	15	by	by	ADP
iogr-1312	60	16	:	:	PUNCT
iogr-1312	60	17	y=	y=	PROPN
iogr-1312	60	18	βo+ʃ𝑖=1	βo+ʃ𝑖=1	PROPN
iogr-1312	61	1	𝑘	𝑘	DET
iogr-1312	61	2	βixi+ʃ𝑖=1	βixi+ʃ𝑖=1	NOUN
iogr-1312	61	3	𝑘	𝑘	DET
iogr-1312	61	4	βii𝑋𝑖𝑖	βii𝑋𝑖𝑖	NOUN
iogr-1312	62	1	2+ʃ𝑖≠𝑗	2+ʃ𝑖≠𝑗	NOUN
iogr-1312	62	2	𝑘	𝑘	PRON
iogr-1312	62	3	βijxij+ϵ,	βijxij+ϵ,	NOUN
iogr-1312	62	4	...........................................................................................................	...........................................................................................................	NOUN
iogr-1312	62	5	(1	(1	NUM
iogr-1312	62	6	)	)	PUNCT
iogr-1312	62	7	where	where	SCONJ
iogr-1312	62	8	y	y	PROPN
iogr-1312	62	9	is	be	AUX
iogr-1312	62	10	the	the	DET
iogr-1312	62	11	dependent	dependent	ADJ
iogr-1312	62	12	variable	variable	NOUN
iogr-1312	62	13	;	;	PUNCT
iogr-1312	62	14	xi	xi	NOUN
iogr-1312	62	15	are	be	AUX
iogr-1312	62	16	the	the	DET
iogr-1312	62	17	independent	independent	ADJ
iogr-1312	62	18	variables	variable	NOUN
iogr-1312	62	19	;	;	PUNCT
iogr-1312	62	20	βo	βo	X
iogr-1312	62	21	is	be	AUX
iogr-1312	62	22	the	the	DET
iogr-1312	62	23	intercept	intercept	NOUN
iogr-1312	62	24	;	;	PUNCT
iogr-1312	62	25	βi	βi	PRON
iogr-1312	62	26	,	,	PUNCT
iogr-1312	62	27	βii	βii	NOUN
iogr-1312	62	28	,	,	PUNCT
iogr-1312	62	29	βij	βij	NOUN
iogr-1312	62	30	are	be	AUX
iogr-1312	62	31	the	the	DET
iogr-1312	62	32	regression	regression	NOUN
iogr-1312	62	33	coefficients	coefficient	NOUN
iogr-1312	62	34	determined	determine	VERB
iogr-1312	62	35	using	use	VERB
iogr-1312	62	36	least	least	ADJ
iogr-1312	62	37	squares	square	NOUN
iogr-1312	62	38	techniques	technique	NOUN
iogr-1312	62	39	.	.	PUNCT
iogr-1312	63	1	matlab	matlab	PROPN
iogr-1312	63	2	automatically	automatically	ADV
iogr-1312	63	3	determined	determine	VERB
iogr-1312	63	4	these	these	DET
iogr-1312	63	5	regression	regression	NOUN
iogr-1312	63	6	coefficients	coefficient	NOUN
iogr-1312	63	7	during	during	ADP
iogr-1312	63	8	model	model	NOUN
iogr-1312	63	9	training	training	NOUN
iogr-1312	63	10	.	.	PUNCT
iogr-1312	64	1	the	the	DET
iogr-1312	64	2	best	well	ADV
iogr-1312	64	3	-	-	PUNCT
iogr-1312	64	4	performing	perform	VERB
iogr-1312	64	5	model	model	NOUN
iogr-1312	64	6	,	,	PUNCT
iogr-1312	64	7	based	base	VERB
iogr-1312	64	8	on	on	ADP
iogr-1312	64	9	data	datum	NOUN
iogr-1312	64	10	fit	fit	PROPN
iogr-1312	64	11	,	,	PUNCT
iogr-1312	64	12	was	be	AUX
iogr-1312	64	13	selected	select	VERB
iogr-1312	64	14	and	and	CCONJ
iogr-1312	64	15	exported	export	VERB
iogr-1312	64	16	from	from	ADP
iogr-1312	64	17	matlab	matlab	PROPN
iogr-1312	64	18	for	for	ADP
iogr-1312	64	19	further	further	ADJ
iogr-1312	64	20	analysis	analysis	NOUN
iogr-1312	64	21	.	.	PUNCT
iogr-1312	65	1	the	the	DET
iogr-1312	65	2	selected	select	VERB
iogr-1312	65	3	linear	linear	PROPN
iogr-1312	65	4	regression	regression	NOUN
iogr-1312	65	5	model	model	NOUN
iogr-1312	65	6	was	be	AUX
iogr-1312	65	7	then	then	ADV
iogr-1312	65	8	evaluated	evaluate	VERB
iogr-1312	65	9	by	by	ADP
iogr-1312	65	10	applying	apply	VERB
iogr-1312	65	11	it	it	PRON
iogr-1312	65	12	to	to	ADP
iogr-1312	65	13	the	the	DET
iogr-1312	65	14	entire	entire	ADJ
iogr-1312	65	15	dataset	dataset	NOUN
iogr-1312	65	16	.	.	PUNCT
iogr-1312	66	1	the	the	DET
iogr-1312	66	2	model	model	NOUN
iogr-1312	66	3	’s	’s	PART
iogr-1312	66	4	accuracy	accuracy	NOUN
iogr-1312	66	5	was	be	AUX
iogr-1312	66	6	assessed	assess	VERB
iogr-1312	66	7	by	by	ADP
iogr-1312	66	8	comparing	compare	VERB
iogr-1312	66	9	predicted	predict	VERB
iogr-1312	66	10	permeability	permeability	NOUN
iogr-1312	66	11	values	value	NOUN
iogr-1312	66	12	against	against	ADP
iogr-1312	66	13	measured	measured	ADJ
iogr-1312	66	14	values	value	NOUN
iogr-1312	66	15	using	use	VERB
iogr-1312	66	16	statistical	statistical	ADJ
iogr-1312	66	17	performance	performance	NOUN
iogr-1312	66	18	indicators	indicator	NOUN
iogr-1312	66	19	such	such	ADJ
iogr-1312	66	20	as	as	ADP
iogr-1312	66	21	mean	mean	NOUN
iogr-1312	66	22	absolute	absolute	ADJ
iogr-1312	66	23	error	error	NOUN
iogr-1312	66	24	(	(	PUNCT
iogr-1312	66	25	mae	mae	PROPN
iogr-1312	66	26	)	)	PUNCT
iogr-1312	66	27	,	,	PUNCT
iogr-1312	66	28	root	root	NOUN
iogr-1312	66	29	mean	mean	VERB
iogr-1312	66	30	square	square	ADJ
iogr-1312	66	31	error	error	NOUN
iogr-1312	66	32	(	(	PUNCT
iogr-1312	66	33	rmse	rmse	NOUN
iogr-1312	66	34	)	)	PUNCT
iogr-1312	66	35	,	,	PUNCT
iogr-1312	66	36	and	and	CCONJ
iogr-1312	66	37	the	the	DET
iogr-1312	66	38	correlation	correlation	NOUN
iogr-1312	66	39	coefficient	coefficient	NOUN
iogr-1312	66	40	(	(	PUNCT
iogr-1312	66	41	r2	r2	PROPN
iogr-1312	66	42	)	)	PUNCT
iogr-1312	66	43	.	.	PUNCT
iogr-1312	67	1	artificial	artificial	ADJ
iogr-1312	67	2	neural	neural	ADJ
iogr-1312	67	3	network	network	NOUN
iogr-1312	67	4	(	(	PUNCT
iogr-1312	67	5	ann	ann	PROPN
iogr-1312	67	6	)	)	PUNCT
iogr-1312	67	7	model	model	NOUN
iogr-1312	67	8	.	.	PUNCT
iogr-1312	68	1	before	before	ADP
iogr-1312	68	2	developing	develop	VERB
iogr-1312	68	3	the	the	DET
iogr-1312	68	4	ann	ann	PROPN
iogr-1312	68	5	,	,	PUNCT
iogr-1312	68	6	feature	feature	NOUN
iogr-1312	68	7	selection	selection	NOUN
iogr-1312	68	8	was	be	AUX
iogr-1312	68	9	performed	perform	VERB
iogr-1312	68	10	to	to	PART
iogr-1312	68	11	identify	identify	VERB
iogr-1312	68	12	the	the	DET
iogr-1312	68	13	most	most	ADV
iogr-1312	68	14	significant	significant	ADJ
iogr-1312	68	15	input	input	NOUN
iogr-1312	68	16	parameters	parameter	NOUN
iogr-1312	68	17	.	.	PUNCT
iogr-1312	69	1	the	the	DET
iogr-1312	69	2	pearson	pearson	PROPN
iogr-1312	69	3	’s	’s	PART
iogr-1312	69	4	correlation	correlation	NOUN
iogr-1312	69	5	matrix	matrix	NOUN
iogr-1312	69	6	was	be	AUX
iogr-1312	69	7	plotted	plot	VERB
iogr-1312	69	8	using	use	VERB
iogr-1312	69	9	excel	excel	PROPN
iogr-1312	69	10	’s	’s	PART
iogr-1312	69	11	data	datum	NOUN
iogr-1312	69	12	analysis	analysis	NOUN
iogr-1312	69	13	toolpak	toolpak	NOUN
iogr-1312	69	14	to	to	PART
iogr-1312	69	15	assess	assess	VERB
iogr-1312	69	16	the	the	DET
iogr-1312	69	17	correlation	correlation	NOUN
iogr-1312	69	18	between	between	ADP
iogr-1312	69	19	input	input	NOUN
iogr-1312	69	20	parameters	parameter	NOUN
iogr-1312	69	21	(	(	PUNCT
iogr-1312	69	22	gamma	gamma	PROPN
iogr-1312	69	23	ray	ray	PROPN
iogr-1312	69	24	,	,	PUNCT
iogr-1312	69	25	bulk	bulk	ADJ
iogr-1312	69	26	density	density	NOUN
iogr-1312	69	27	,	,	PUNCT
iogr-1312	69	28	and	and	CCONJ
iogr-1312	69	29	deep	deep	ADJ
iogr-1312	69	30	induction	induction	NOUN
iogr-1312	69	31	)	)	PUNCT
iogr-1312	69	32	and	and	CCONJ
iogr-1312	69	33	the	the	DET
iogr-1312	69	34	output	output	NOUN
iogr-1312	69	35	parameter	parameter	NOUN
iogr-1312	69	36	(	(	PUNCT
iogr-1312	69	37	permeability	permeability	NOUN
iogr-1312	69	38	)	)	PUNCT
iogr-1312	69	39	.	.	PUNCT
iogr-1312	70	1	a	a	DET
iogr-1312	70	2	threshold	threshold	NOUN
iogr-1312	70	3	correlation	correlation	NOUN
iogr-1312	70	4	coefficient	coefficient	NOUN
iogr-1312	70	5	of	of	ADP
iogr-1312	70	6	0.01	0.01	NUM
iogr-1312	70	7	was	be	AUX
iogr-1312	70	8	defined	define	VERB
iogr-1312	70	9	.	.	PUNCT
iogr-1312	71	1	parameters	parameter	NOUN
iogr-1312	71	2	with	with	ADP
iogr-1312	71	3	a	a	DET
iogr-1312	71	4	correlation	correlation	NOUN
iogr-1312	71	5	coefficient	coefficient	NOUN
iogr-1312	71	6	greater	great	ADJ
iogr-1312	71	7	than	than	ADP
iogr-1312	71	8	0.01	0.01	NUM
iogr-1312	71	9	were	be	AUX
iogr-1312	71	10	considered	consider	VERB
iogr-1312	71	11	significant	significant	ADJ
iogr-1312	71	12	.	.	PUNCT
iogr-1312	72	1	to	to	PART
iogr-1312	72	2	ensure	ensure	VERB
iogr-1312	72	3	consistent	consistent	ADJ
iogr-1312	72	4	scaling	scaling	NOUN
iogr-1312	72	5	across	across	ADP
iogr-1312	72	6	all	all	DET
iogr-1312	72	7	input	input	NOUN
iogr-1312	72	8	and	and	CCONJ
iogr-1312	72	9	output	output	NOUN
iogr-1312	72	10	parameters	parameter	NOUN
iogr-1312	72	11	,	,	PUNCT
iogr-1312	72	12	normalization	normalization	NOUN
iogr-1312	72	13	was	be	AUX
iogr-1312	72	14	performed	perform	VERB
iogr-1312	72	15	using	use	VERB
iogr-1312	72	16	the	the	DET
iogr-1312	72	17	following	follow	VERB
iogr-1312	72	18	equation	equation	NOUN
iogr-1312	72	19	:	:	PUNCT
iogr-1312	73	1	𝑋𝑛(0	𝑋𝑛(0	ADJ
iogr-1312	73	2	:	:	PUNCT
iogr-1312	73	3	1	1	NUM
iogr-1312	73	4	)	)	PUNCT
iogr-1312	73	5	=	=	PUNCT
iogr-1312	73	6	x−xmin	x−xmin	X
iogr-1312	73	7	xmax−xmin	xmax−xmin	NOUN
iogr-1312	73	8	,	,	PUNCT
iogr-1312	73	9	......................................................................................................................................	......................................................................................................................................	PROPN
iogr-1312	73	10	(	(	PUNCT
iogr-1312	73	11	2	2	NUM
iogr-1312	73	12	)	)	PUNCT
iogr-1312	73	13	improved	improve	VERB
iogr-1312	73	14	oil	oil	NOUN
iogr-1312	73	15	and	and	CCONJ
iogr-1312	73	16	gas	gas	NOUN
iogr-1312	73	17	recovery	recovery	NOUN
iogr-1312	73	18	4	4	NUM
iogr-1312	73	19	where	where	SCONJ
iogr-1312	73	20	xn	xn	PROPN
iogr-1312	73	21	(	(	PUNCT
iogr-1312	73	22	0:1	0:1	NUM
iogr-1312	73	23	)	)	PUNCT
iogr-1312	73	24	is	be	AUX
iogr-1312	73	25	the	the	DET
iogr-1312	73	26	normalized	normalize	VERB
iogr-1312	73	27	value	value	NOUN
iogr-1312	73	28	of	of	ADP
iogr-1312	73	29	the	the	DET
iogr-1312	73	30	parameter	parameter	NOUN
iogr-1312	73	31	;	;	PUNCT
iogr-1312	73	32	x	x	X
iogr-1312	73	33	is	be	AUX
iogr-1312	73	34	the	the	DET
iogr-1312	73	35	actual	actual	ADJ
iogr-1312	73	36	value	value	NOUN
iogr-1312	73	37	of	of	ADP
iogr-1312	73	38	the	the	DET
iogr-1312	73	39	parameter	parameter	NOUN
iogr-1312	73	40	;	;	PUNCT
iogr-1312	73	41	xmin	xmin	PROPN
iogr-1312	73	42	and	and	CCONJ
iogr-1312	73	43	xmax	xmax	PROPN
iogr-1312	73	44	are	be	AUX
iogr-1312	73	45	the	the	DET
iogr-1312	73	46	minimum	minimum	ADJ
iogr-1312	73	47	and	and	CCONJ
iogr-1312	73	48	maximum	maximum	ADJ
iogr-1312	73	49	values	value	NOUN
iogr-1312	73	50	of	of	ADP
iogr-1312	73	51	the	the	DET
iogr-1312	73	52	parameter	parameter	NOUN
iogr-1312	73	53	,	,	PUNCT
iogr-1312	73	54	respectively	respectively	ADV
iogr-1312	73	55	.	.	PUNCT
iogr-1312	74	1	the	the	DET
iogr-1312	74	2	dataset	dataset	NOUN
iogr-1312	74	3	was	be	AUX
iogr-1312	74	4	then	then	ADV
iogr-1312	74	5	used	use	VERB
iogr-1312	74	6	to	to	PART
iogr-1312	74	7	construct	construct	VERB
iogr-1312	74	8	six	six	NUM
iogr-1312	74	9	different	different	ADJ
iogr-1312	74	10	ann	ann	PROPN
iogr-1312	74	11	structures	structure	NOUN
iogr-1312	74	12	,	,	PUNCT
iogr-1312	74	13	each	each	PRON
iogr-1312	74	14	with	with	ADP
iogr-1312	74	15	one	one	NUM
iogr-1312	74	16	hidden	hide	VERB
iogr-1312	74	17	layer	layer	NOUN
iogr-1312	74	18	containing	contain	VERB
iogr-1312	74	19	5	5	NUM
iogr-1312	74	20	to	to	PART
iogr-1312	74	21	10	10	NUM
iogr-1312	74	22	neurons	neuron	NOUN
iogr-1312	74	23	.	.	PUNCT
iogr-1312	75	1	the	the	DET
iogr-1312	75	2	dataset	dataset	NOUN
iogr-1312	75	3	was	be	AUX
iogr-1312	75	4	randomly	randomly	ADV
iogr-1312	75	5	divided	divide	VERB
iogr-1312	75	6	into	into	ADP
iogr-1312	75	7	three	three	NUM
iogr-1312	75	8	sets	set	NOUN
iogr-1312	75	9	:	:	PUNCT
iogr-1312	75	10	70	70	NUM
iogr-1312	75	11	%	%	NOUN
iogr-1312	75	12	for	for	ADP
iogr-1312	75	13	training	training	NOUN
iogr-1312	75	14	,	,	PUNCT
iogr-1312	75	15	15	15	NUM
iogr-1312	75	16	%	%	NOUN
iogr-1312	75	17	for	for	ADP
iogr-1312	75	18	testing	testing	NOUN
iogr-1312	75	19	,	,	PUNCT
iogr-1312	75	20	and	and	CCONJ
iogr-1312	75	21	15	15	NUM
iogr-1312	75	22	%	%	NOUN
iogr-1312	75	23	for	for	ADP
iogr-1312	75	24	validation	validation	NOUN
iogr-1312	75	25	.	.	PUNCT
iogr-1312	76	1	training	training	NOUN
iogr-1312	76	2	continued	continue	VERB
iogr-1312	76	3	until	until	SCONJ
iogr-1312	76	4	the	the	DET
iogr-1312	76	5	following	follow	VERB
iogr-1312	76	6	conditions	condition	NOUN
iogr-1312	76	7	were	be	AUX
iogr-1312	76	8	met	meet	VERB
iogr-1312	76	9	:	:	PUNCT
iogr-1312	77	1	1	1	X
iogr-1312	77	2	.	.	PUNCT
iogr-1312	77	3	the	the	DET
iogr-1312	77	4	mses	ms	NOUN
iogr-1312	77	5	of	of	ADP
iogr-1312	77	6	the	the	DET
iogr-1312	77	7	training	training	NOUN
iogr-1312	77	8	dataset	dataset	NOUN
iogr-1312	77	9	were	be	AUX
iogr-1312	77	10	lower	low	ADJ
iogr-1312	77	11	than	than	ADP
iogr-1312	77	12	that	that	PRON
iogr-1312	77	13	of	of	ADP
iogr-1312	77	14	the	the	DET
iogr-1312	77	15	validation	validation	NOUN
iogr-1312	77	16	and	and	CCONJ
iogr-1312	77	17	testing	testing	NOUN
iogr-1312	77	18	datasets	dataset	NOUN
iogr-1312	77	19	.	.	PUNCT
iogr-1312	78	1	2	2	X
iogr-1312	78	2	.	.	X
iogr-1312	78	3	the	the	DET
iogr-1312	78	4	mses	ms	NOUN
iogr-1312	78	5	of	of	ADP
iogr-1312	78	6	the	the	DET
iogr-1312	78	7	validation	validation	NOUN
iogr-1312	78	8	and	and	CCONJ
iogr-1312	78	9	testing	testing	NOUN
iogr-1312	78	10	datasets	dataset	NOUN
iogr-1312	78	11	were	be	AUX
iogr-1312	78	12	approximately	approximately	ADV
iogr-1312	78	13	equal	equal	ADJ
iogr-1312	78	14	.	.	PUNCT
iogr-1312	79	1	3	3	X
iogr-1312	79	2	.	.	X
iogr-1312	79	3	the	the	DET
iogr-1312	79	4	r2	r2	PROPN
iogr-1312	79	5	increased	increase	VERB
iogr-1312	79	6	in	in	ADP
iogr-1312	79	7	the	the	DET
iogr-1312	79	8	order	order	NOUN
iogr-1312	79	9	of	of	ADP
iogr-1312	79	10	testing	testing	NOUN
iogr-1312	79	11	,	,	PUNCT
iogr-1312	79	12	validation	validation	NOUN
iogr-1312	79	13	,	,	PUNCT
iogr-1312	79	14	and	and	CCONJ
iogr-1312	79	15	training	training	NOUN
iogr-1312	79	16	datasets	dataset	NOUN
iogr-1312	79	17	.	.	PUNCT
iogr-1312	80	1	after	after	ADP
iogr-1312	80	2	training	training	NOUN
iogr-1312	80	3	,	,	PUNCT
iogr-1312	80	4	each	each	DET
iogr-1312	80	5	ann	ann	PROPN
iogr-1312	80	6	structure	structure	NOUN
iogr-1312	80	7	was	be	AUX
iogr-1312	80	8	evaluated	evaluate	VERB
iogr-1312	80	9	using	use	VERB
iogr-1312	80	10	the	the	DET
iogr-1312	80	11	entire	entire	ADJ
iogr-1312	80	12	dataset	dataset	NOUN
iogr-1312	80	13	,	,	PUNCT
iogr-1312	80	14	and	and	CCONJ
iogr-1312	80	15	the	the	DET
iogr-1312	80	16	best	well	ADV
iogr-1312	80	17	-	-	PUNCT
iogr-1312	80	18	performing	perform	VERB
iogr-1312	80	19	ann	ann	PROPN
iogr-1312	80	20	was	be	AUX
iogr-1312	80	21	selected	select	VERB
iogr-1312	80	22	based	base	VERB
iogr-1312	80	23	on	on	ADP
iogr-1312	80	24	mae	mae	PROPN
iogr-1312	80	25	,	,	PUNCT
iogr-1312	80	26	rmse	rmse	NOUN
iogr-1312	80	27	,	,	PUNCT
iogr-1312	80	28	and	and	CCONJ
iogr-1312	80	29	r2	r2	PROPN
iogr-1312	80	30	.	.	PUNCT
iogr-1312	81	1	the	the	DET
iogr-1312	81	2	selected	select	VERB
iogr-1312	81	3	ann	ann	PROPN
iogr-1312	81	4	structure	structure	NOUN
iogr-1312	81	5	was	be	AUX
iogr-1312	81	6	then	then	ADV
iogr-1312	81	7	transformed	transform	VERB
iogr-1312	81	8	into	into	ADP
iogr-1312	81	9	a	a	DET
iogr-1312	81	10	set	set	NOUN
iogr-1312	81	11	of	of	ADP
iogr-1312	81	12	equations	equation	NOUN
iogr-1312	81	13	using	use	VERB
iogr-1312	81	14	the	the	DET
iogr-1312	81	15	activation	activation	NOUN
iogr-1312	81	16	functions	function	NOUN
iogr-1312	81	17	and	and	CCONJ
iogr-1312	81	18	the	the	DET
iogr-1312	81	19	extracted	extract	VERB
iogr-1312	81	20	weights	weight	NOUN
iogr-1312	81	21	and	and	CCONJ
iogr-1312	81	22	biases	bias	NOUN
iogr-1312	81	23	from	from	ADP
iogr-1312	81	24	the	the	DET
iogr-1312	81	25	ann	ann	PROPN
iogr-1312	81	26	.	.	PUNCT
iogr-1312	82	1	the	the	DET
iogr-1312	82	2	developed	develop	VERB
iogr-1312	82	3	ann	ann	PROPN
iogr-1312	82	4	model	model	NOUN
iogr-1312	82	5	was	be	AUX
iogr-1312	82	6	validated	validate	VERB
iogr-1312	82	7	by	by	ADP
iogr-1312	82	8	applying	apply	VERB
iogr-1312	82	9	the	the	DET
iogr-1312	82	10	training	training	NOUN
iogr-1312	82	11	,	,	PUNCT
iogr-1312	82	12	validation	validation	NOUN
iogr-1312	82	13	,	,	PUNCT
iogr-1312	82	14	testing	testing	NOUN
iogr-1312	82	15	,	,	PUNCT
iogr-1312	82	16	and	and	CCONJ
iogr-1312	82	17	entire	entire	ADJ
iogr-1312	82	18	datasets	dataset	NOUN
iogr-1312	82	19	to	to	PART
iogr-1312	82	20	predict	predict	VERB
iogr-1312	82	21	permeability	permeability	NOUN
iogr-1312	82	22	.	.	PUNCT
iogr-1312	83	1	cross	cros	NOUN
iogr-1312	83	2	-	-	NOUN
iogr-1312	83	3	plots	plot	NOUN
iogr-1312	83	4	of	of	ADP
iogr-1312	83	5	measured	measure	VERB
iogr-1312	83	6	versus	versus	ADP
iogr-1312	83	7	predicted	predict	VERB
iogr-1312	83	8	permeability	permeability	NOUN
iogr-1312	83	9	were	be	AUX
iogr-1312	83	10	generated	generate	VERB
iogr-1312	83	11	to	to	PART
iogr-1312	83	12	evaluate	evaluate	VERB
iogr-1312	83	13	the	the	DET
iogr-1312	83	14	model	model	NOUN
iogr-1312	83	15	’s	’s	PART
iogr-1312	83	16	accuracy	accuracy	NOUN
iogr-1312	83	17	.	.	PUNCT
iogr-1312	84	1	these	these	DET
iogr-1312	84	2	plots	plot	NOUN
iogr-1312	84	3	included	include	VERB
iogr-1312	84	4	a	a	DET
iogr-1312	84	5	unit	unit	NOUN
iogr-1312	84	6	slope	slope	NOUN
iogr-1312	84	7	line	line	NOUN
iogr-1312	84	8	,	,	PUNCT
iogr-1312	84	9	+10	+10	NOUN
iogr-1312	84	10	%	%	NOUN
iogr-1312	84	11	and	and	CCONJ
iogr-1312	84	12	-10	-10	NUM
iogr-1312	84	13	%	%	NOUN
iogr-1312	84	14	deviation	deviation	NOUN
iogr-1312	84	15	lines	line	NOUN
iogr-1312	84	16	,	,	PUNCT
iogr-1312	84	17	and	and	CCONJ
iogr-1312	84	18	the	the	DET
iogr-1312	84	19	r2	r2	PROPN
iogr-1312	84	20	value	value	NOUN
iogr-1312	84	21	.	.	PUNCT
iogr-1312	85	1	the	the	DET
iogr-1312	85	2	model	model	NOUN
iogr-1312	85	3	was	be	AUX
iogr-1312	85	4	considered	consider	VERB
iogr-1312	85	5	accurate	accurate	ADJ
iogr-1312	85	6	if	if	SCONJ
iogr-1312	85	7	1	1	NUM
iogr-1312	85	8	.	.	PUNCT
iogr-1312	86	1	most	most	ADJ
iogr-1312	86	2	of	of	ADP
iogr-1312	86	3	the	the	DET
iogr-1312	86	4	data	data	NOUN
iogr-1312	86	5	points	point	NOUN
iogr-1312	86	6	were	be	AUX
iogr-1312	86	7	on	on	ADP
iogr-1312	86	8	the	the	DET
iogr-1312	86	9	unit	unit	NOUN
iogr-1312	86	10	slope	slope	NOUN
iogr-1312	86	11	line	line	NOUN
iogr-1312	86	12	and	and	CCONJ
iogr-1312	86	13	within	within	ADP
iogr-1312	86	14	the	the	DET
iogr-1312	86	15	+10	+10	NOUN
iogr-1312	86	16	%	%	NOUN
iogr-1312	86	17	and	and	CCONJ
iogr-1312	86	18	-10	-10	NUM
iogr-1312	86	19	%	%	NOUN
iogr-1312	86	20	deviation	deviation	NOUN
iogr-1312	86	21	lines	line	NOUN
iogr-1312	86	22	.	.	PUNCT
iogr-1312	87	1	2	2	X
iogr-1312	87	2	.	.	X
iogr-1312	87	3	the	the	DET
iogr-1312	87	4	r2	r2	PROPN
iogr-1312	87	5	value	value	NOUN
iogr-1312	87	6	increased	increase	VERB
iogr-1312	87	7	in	in	ADP
iogr-1312	87	8	the	the	DET
iogr-1312	87	9	order	order	NOUN
iogr-1312	87	10	of	of	ADP
iogr-1312	87	11	testing	testing	NOUN
iogr-1312	87	12	,	,	PUNCT
iogr-1312	87	13	validation	validation	NOUN
iogr-1312	87	14	,	,	PUNCT
iogr-1312	87	15	and	and	CCONJ
iogr-1312	87	16	training	training	NOUN
iogr-1312	87	17	datasets	dataset	NOUN
iogr-1312	87	18	.	.	PUNCT
iogr-1312	88	1	results	result	NOUN
iogr-1312	88	2	and	and	CCONJ
iogr-1312	88	3	analysis	analysis	NOUN
iogr-1312	88	4	linear	linear	PROPN
iogr-1312	88	5	regression	regression	NOUN
iogr-1312	88	6	model	model	NOUN
iogr-1312	88	7	.	.	PUNCT
iogr-1312	89	1	linear	linear	ADJ
iogr-1312	89	2	regression	regression	NOUN
iogr-1312	89	3	is	be	AUX
iogr-1312	89	4	a	a	DET
iogr-1312	89	5	fundamental	fundamental	ADJ
iogr-1312	89	6	statistical	statistical	ADJ
iogr-1312	89	7	technique	technique	NOUN
iogr-1312	89	8	that	that	PRON
iogr-1312	89	9	models	model	VERB
iogr-1312	89	10	the	the	DET
iogr-1312	89	11	relationship	relationship	NOUN
iogr-1312	89	12	between	between	ADP
iogr-1312	89	13	a	a	DET
iogr-1312	89	14	dependent	dependent	ADJ
iogr-1312	89	15	variable	variable	NOUN
iogr-1312	89	16	and	and	CCONJ
iogr-1312	89	17	one	one	NUM
iogr-1312	89	18	or	or	CCONJ
iogr-1312	89	19	more	more	ADV
iogr-1312	89	20	independent	independent	ADJ
iogr-1312	89	21	variables	variable	NOUN
iogr-1312	89	22	.	.	PUNCT
iogr-1312	90	1	in	in	ADP
iogr-1312	90	2	this	this	DET
iogr-1312	90	3	study	study	NOUN
iogr-1312	90	4	,	,	PUNCT
iogr-1312	90	5	three	three	NUM
iogr-1312	90	6	different	different	ADJ
iogr-1312	90	7	linear	linear	ADJ
iogr-1312	90	8	regression	regression	NOUN
iogr-1312	90	9	models	model	NOUN
iogr-1312	90	10	were	be	AUX
iogr-1312	90	11	evaluated	evaluate	VERB
iogr-1312	90	12	:	:	PUNCT
iogr-1312	90	13	standard	standard	ADJ
iogr-1312	90	14	linear	linear	PROPN
iogr-1312	90	15	regression	regression	NOUN
iogr-1312	90	16	,	,	PUNCT
iogr-1312	90	17	interactions	interaction	NOUN
iogr-1312	90	18	linear	linear	PROPN
iogr-1312	90	19	regression	regression	NOUN
iogr-1312	90	20	,	,	PUNCT
iogr-1312	90	21	robust	robust	ADJ
iogr-1312	90	22	linear	linear	ADJ
iogr-1312	90	23	regression	regression	NOUN
iogr-1312	90	24	.	.	PUNCT
iogr-1312	91	1	table	table	NOUN
iogr-1312	91	2	3	3	NUM
iogr-1312	91	3	presents	present	VERB
iogr-1312	91	4	a	a	DET
iogr-1312	91	5	summary	summary	NOUN
iogr-1312	91	6	of	of	ADP
iogr-1312	91	7	the	the	DET
iogr-1312	91	8	performance	performance	NOUN
iogr-1312	91	9	metrics	metric	NOUN
iogr-1312	91	10	for	for	ADP
iogr-1312	91	11	the	the	DET
iogr-1312	91	12	three	three	NUM
iogr-1312	91	13	linear	linear	ADJ
iogr-1312	91	14	regression	regression	NOUN
iogr-1312	91	15	models	model	NOUN
iogr-1312	91	16	.	.	PUNCT
iogr-1312	92	1	the	the	DET
iogr-1312	92	2	performance	performance	NOUN
iogr-1312	92	3	of	of	ADP
iogr-1312	92	4	each	each	DET
iogr-1312	92	5	model	model	NOUN
iogr-1312	92	6	is	be	AUX
iogr-1312	92	7	assessed	assess	VERB
iogr-1312	92	8	using	use	VERB
iogr-1312	92	9	various	various	ADJ
iogr-1312	92	10	statistical	statistical	ADJ
iogr-1312	92	11	indicators	indicator	NOUN
iogr-1312	92	12	:	:	PUNCT
iogr-1312	92	13	root	root	NOUN
iogr-1312	92	14	mean	mean	VERB
iogr-1312	92	15	square	square	ADJ
iogr-1312	92	16	error	error	NOUN
iogr-1312	92	17	(	(	PUNCT
iogr-1312	92	18	rmse	rmse	NOUN
iogr-1312	92	19	)	)	PUNCT
iogr-1312	92	20	,	,	PUNCT
iogr-1312	92	21	mean	mean	VERB
iogr-1312	92	22	square	square	ADJ
iogr-1312	92	23	error	error	NOUN
iogr-1312	92	24	(	(	PUNCT
iogr-1312	92	25	mse	mse	NOUN
iogr-1312	92	26	)	)	PUNCT
iogr-1312	92	27	,	,	PUNCT
iogr-1312	92	28	coefficient	coefficient	NOUN
iogr-1312	92	29	of	of	ADP
iogr-1312	92	30	determination	determination	NOUN
iogr-1312	92	31	(	(	PUNCT
iogr-1312	92	32	r²	r²	NOUN
iogr-1312	92	33	)	)	PUNCT
iogr-1312	92	34	,	,	PUNCT
iogr-1312	92	35	and	and	CCONJ
iogr-1312	92	36	mean	mean	VERB
iogr-1312	92	37	absolute	absolute	ADJ
iogr-1312	92	38	error	error	NOUN
iogr-1312	92	39	(	(	PUNCT
iogr-1312	92	40	mae	mae	PROPN
iogr-1312	92	41	)	)	PUNCT
iogr-1312	92	42	for	for	ADP
iogr-1312	92	43	both	both	CCONJ
iogr-1312	92	44	the	the	DET
iogr-1312	92	45	validation	validation	NOUN
iogr-1312	92	46	and	and	CCONJ
iogr-1312	92	47	testing	testing	NOUN
iogr-1312	92	48	datasets	dataset	NOUN
iogr-1312	92	49	.	.	PUNCT
iogr-1312	93	1	table	table	NOUN
iogr-1312	93	2	3	3	NUM
iogr-1312	93	3	—	—	PUNCT
iogr-1312	93	4	performance	performance	NOUN
iogr-1312	93	5	summary	summary	NOUN
iogr-1312	93	6	of	of	ADP
iogr-1312	93	7	different	different	ADJ
iogr-1312	93	8	linear	linear	ADJ
iogr-1312	93	9	regression	regression	NOUN
iogr-1312	93	10	models	model	NOUN
iogr-1312	93	11	.	.	PUNCT
iogr-1312	94	1	dataset	dataset	NOUN
iogr-1312	94	2	type	type	NOUN
iogr-1312	94	3	validation	validation	NOUN
iogr-1312	94	4	dataset	dataset	NOUN
iogr-1312	94	5	test	test	NOUN
iogr-1312	94	6	dataset	dataset	NOUN
iogr-1312	94	7	metrics	metric	NOUN
iogr-1312	94	8	rmse	rmse	PROPN
iogr-1312	94	9	mse	mse	PROPN
iogr-1312	94	10	r2	r2	PROPN
iogr-1312	94	11	mae	mae	PROPN
iogr-1312	94	12	rmse	rmse	PROPN
iogr-1312	94	13	mse	mse	PROPN
iogr-1312	94	14	r2	r2	PROPN
iogr-1312	94	15	mae	mae	PROPN
iogr-1312	94	16	linear	linear	PROPN
iogr-1312	94	17	regression	regression	VERB
iogr-1312	94	18	3.193	3.193	NUM
iogr-1312	94	19	10.193	10.193	NUM
iogr-1312	94	20	0.981	0.981	NUM
iogr-1312	94	21	1.789	1.789	NUM
iogr-1312	94	22	4.657	4.657	NUM
iogr-1312	94	23	21.689	21.689	NUM
iogr-1312	94	24	0.982	0.982	NUM
iogr-1312	94	25	1.828	1.828	NUM
iogr-1312	94	26	interactions	interaction	NOUN
iogr-1312	94	27	linear	linear	ADJ
iogr-1312	94	28	regression	regression	NOUN
iogr-1312	94	29	3.080	3.080	NUM
iogr-1312	94	30	9.484	9.484	NUM
iogr-1312	94	31	0.982	0.982	NUM
iogr-1312	94	32	1.746	1.746	NUM
iogr-1312	94	33	4.466	4.466	NUM
iogr-1312	94	34	19.943	19.943	NUM
iogr-1312	94	35	0.983	0.983	NUM
iogr-1312	94	36	1.797	1.797	NUM
iogr-1312	94	37	standard	standard	ADJ
iogr-1312	94	38	linear	linear	PROPN
iogr-1312	94	39	regression	regression	NOUN
iogr-1312	94	40	model	model	NOUN
iogr-1312	94	41	,	,	PUNCT
iogr-1312	94	42	while	while	SCONJ
iogr-1312	94	43	straightforward	straightforward	ADJ
iogr-1312	94	44	,	,	PUNCT
iogr-1312	94	45	yielded	yield	VERB
iogr-1312	94	46	satisfactory	satisfactory	ADJ
iogr-1312	94	47	results	result	NOUN
iogr-1312	94	48	with	with	ADP
iogr-1312	94	49	an	an	DET
iogr-1312	94	50	rmse	rmse	NOUN
iogr-1312	94	51	of	of	ADP
iogr-1312	94	52	3.1926	3.1926	NUM
iogr-1312	94	53	and	and	CCONJ
iogr-1312	94	54	an	an	DET
iogr-1312	94	55	r²	r²	NOUN
iogr-1312	94	56	value	value	NOUN
iogr-1312	94	57	of	of	ADP
iogr-1312	94	58	0.9805	0.9805	NUM
iogr-1312	94	59	on	on	ADP
iogr-1312	94	60	the	the	DET
iogr-1312	94	61	validation	validation	NOUN
iogr-1312	94	62	dataset	dataset	NOUN
iogr-1312	94	63	.	.	PUNCT
iogr-1312	95	1	however	however	ADV
iogr-1312	95	2	,	,	PUNCT
iogr-1312	95	3	when	when	SCONJ
iogr-1312	95	4	tested	test	VERB
iogr-1312	95	5	,	,	PUNCT
iogr-1312	95	6	the	the	DET
iogr-1312	95	7	rmse	rmse	NOUN
iogr-1312	95	8	increased	increase	VERB
iogr-1312	95	9	to	to	ADP
iogr-1312	95	10	4.6572	4.6572	NUM
iogr-1312	95	11	,	,	PUNCT
iogr-1312	95	12	indicating	indicate	VERB
iogr-1312	95	13	some	some	DET
iogr-1312	95	14	level	level	NOUN
iogr-1312	95	15	of	of	ADP
iogr-1312	95	16	overfitting	overfitting	NOUN
iogr-1312	95	17	or	or	CCONJ
iogr-1312	95	18	a	a	DET
iogr-1312	95	19	potential	potential	ADJ
iogr-1312	95	20	lack	lack	NOUN
iogr-1312	95	21	of	of	ADP
iogr-1312	95	22	generalization	generalization	NOUN
iogr-1312	95	23	to	to	ADP
iogr-1312	95	24	new	new	ADJ
iogr-1312	95	25	data	datum	NOUN
iogr-1312	95	26	.	.	PUNCT
iogr-1312	96	1	interactions	interaction	NOUN
iogr-1312	96	2	linear	linear	PROPN
iogr-1312	96	3	regression	regression	NOUN
iogr-1312	96	4	model	model	NOUN
iogr-1312	96	5	,	,	PUNCT
iogr-1312	96	6	by	by	ADP
iogr-1312	96	7	incorporating	incorporate	VERB
iogr-1312	96	8	interaction	interaction	NOUN
iogr-1312	96	9	terms	term	NOUN
iogr-1312	96	10	between	between	ADP
iogr-1312	96	11	the	the	DET
iogr-1312	96	12	input	input	NOUN
iogr-1312	96	13	variables	variable	NOUN
iogr-1312	96	14	,	,	PUNCT
iogr-1312	96	15	improved	improve	VERB
iogr-1312	96	16	the	the	DET
iogr-1312	96	17	prediction	prediction	NOUN
iogr-1312	96	18	accuracy	accuracy	NOUN
iogr-1312	96	19	,	,	PUNCT
iogr-1312	96	20	evidenced	evidence	VERB
iogr-1312	96	21	by	by	ADP
iogr-1312	96	22	a	a	DET
iogr-1312	96	23	lower	low	ADJ
iogr-1312	96	24	rmse	rmse	NOUN
iogr-1312	96	25	(	(	PUNCT
iogr-1312	96	26	3.0797	3.0797	NUM
iogr-1312	96	27	)	)	PUNCT
iogr-1312	96	28	and	and	CCONJ
iogr-1312	96	29	a	a	DET
iogr-1312	96	30	higher	high	ADJ
iogr-1312	96	31	r²	r²	NOUN
iogr-1312	96	32	value	value	NOUN
iogr-1312	96	33	(	(	PUNCT
iogr-1312	96	34	0.9819	0.9819	NUM
iogr-1312	96	35	)	)	PUNCT
iogr-1312	96	36	on	on	ADP
iogr-1312	96	37	the	the	DET
iogr-1312	96	38	validation	validation	NOUN
iogr-1312	96	39	set	set	NOUN
iogr-1312	96	40	.	.	PUNCT
iogr-1312	97	1	the	the	DET
iogr-1312	97	2	improvement	improvement	NOUN
iogr-1312	97	3	was	be	AUX
iogr-1312	97	4	consistent	consistent	ADJ
iogr-1312	97	5	in	in	ADP
iogr-1312	97	6	the	the	DET
iogr-1312	97	7	test	test	NOUN
iogr-1312	97	8	set	set	NOUN
iogr-1312	97	9	,	,	PUNCT
iogr-1312	97	10	with	with	ADP
iogr-1312	97	11	an	an	DET
iogr-1312	97	12	rmse	rmse	NOUN
iogr-1312	97	13	of	of	ADP
iogr-1312	97	14	4.4658	4.4658	NUM
iogr-1312	97	15	and	and	CCONJ
iogr-1312	97	16	an	an	DET
iogr-1312	97	17	r²	r²	NOUN
iogr-1312	97	18	of	of	ADP
iogr-1312	97	19	0.9830	0.9830	NUM
iogr-1312	97	20	,	,	PUNCT
iogr-1312	97	21	making	make	VERB
iogr-1312	97	22	it	it	PRON
iogr-1312	97	23	one	one	NUM
iogr-1312	97	24	of	of	ADP
iogr-1312	97	25	the	the	DET
iogr-1312	97	26	best	well	ADV
iogr-1312	97	27	-	-	PUNCT
iogr-1312	97	28	performing	perform	VERB
iogr-1312	97	29	linear	linear	NOUN
iogr-1312	97	30	models	model	NOUN
iogr-1312	97	31	.	.	PUNCT
iogr-1312	98	1	overall	overall	ADV
iogr-1312	98	2	,	,	PUNCT
iogr-1312	98	3	the	the	DET
iogr-1312	98	4	interactions	interaction	NOUN
iogr-1312	98	5	linear	linear	VERB
iogr-1312	98	6	regression	regression	NOUN
iogr-1312	98	7	model	model	NOUN
iogr-1312	98	8	emerged	emerge	VERB
iogr-1312	98	9	as	as	ADP
iogr-1312	98	10	the	the	DET
iogr-1312	98	11	top	top	ADJ
iogr-1312	98	12	performer	performer	NOUN
iogr-1312	98	13	among	among	ADP
iogr-1312	98	14	the	the	DET
iogr-1312	98	15	linear	linear	ADJ
iogr-1312	98	16	models	model	NOUN
iogr-1312	98	17	.	.	PUNCT
iogr-1312	99	1	the	the	DET
iogr-1312	99	2	inclusion	inclusion	NOUN
iogr-1312	99	3	of	of	ADP
iogr-1312	99	4	interaction	interaction	NOUN
iogr-1312	99	5	terms	term	NOUN
iogr-1312	99	6	provided	provide	VERB
iogr-1312	99	7	a	a	DET
iogr-1312	99	8	more	more	ADV
iogr-1312	99	9	nuanced	nuanced	ADJ
iogr-1312	99	10	understanding	understanding	NOUN
iogr-1312	99	11	of	of	ADP
iogr-1312	99	12	the	the	DET
iogr-1312	99	13	relationships	relationship	NOUN
iogr-1312	99	14	between	between	ADP
iogr-1312	99	15	the	the	DET
iogr-1312	99	16	input	input	NOUN
iogr-1312	99	17	variables	variable	NOUN
iogr-1312	99	18	,	,	PUNCT
iogr-1312	99	19	leading	lead	VERB
iogr-1312	99	20	to	to	ADP
iogr-1312	99	21	improved	improve	VERB
iogr-1312	99	22	predictions	prediction	NOUN
iogr-1312	99	23	.	.	PUNCT
iogr-1312	100	1	this	this	DET
iogr-1312	100	2	model	model	NOUN
iogr-1312	100	3	's	's	PART
iogr-1312	100	4	robustness	robustness	NOUN
iogr-1312	100	5	was	be	AUX
iogr-1312	100	6	validated	validate	VERB
iogr-1312	100	7	across	across	ADP
iogr-1312	100	8	both	both	CCONJ
iogr-1312	100	9	the	the	DET
iogr-1312	100	10	validation	validation	NOUN
iogr-1312	100	11	and	and	CCONJ
iogr-1312	100	12	improved	improve	VERB
iogr-1312	100	13	oil	oil	NOUN
iogr-1312	100	14	and	and	CCONJ
iogr-1312	100	15	gas	gas	NOUN
iogr-1312	100	16	recovery	recovery	NOUN
iogr-1312	100	17	5	5	NUM
iogr-1312	100	18	test	test	NOUN
iogr-1312	100	19	datasets	dataset	NOUN
iogr-1312	100	20	,	,	PUNCT
iogr-1312	100	21	indicating	indicate	VERB
iogr-1312	100	22	its	its	PRON
iogr-1312	100	23	suitability	suitability	NOUN
iogr-1312	100	24	for	for	ADP
iogr-1312	100	25	permeability	permeability	NOUN
iogr-1312	100	26	prediction	prediction	NOUN
iogr-1312	100	27	in	in	ADP
iogr-1312	100	28	this	this	DET
iogr-1312	100	29	context	context	NOUN
iogr-1312	100	30	.	.	PUNCT
iogr-1312	101	1	therefore	therefore	ADV
iogr-1312	101	2	,	,	PUNCT
iogr-1312	101	3	the	the	DET
iogr-1312	101	4	interactions	interaction	NOUN
iogr-1312	101	5	linear	linear	VERB
iogr-1312	101	6	regression	regression	NOUN
iogr-1312	101	7	model	model	NOUN
iogr-1312	101	8	was	be	AUX
iogr-1312	101	9	chosen	choose	VERB
iogr-1312	101	10	for	for	ADP
iogr-1312	101	11	further	further	ADJ
iogr-1312	101	12	analysis	analysis	NOUN
iogr-1312	101	13	.	.	PUNCT
iogr-1312	102	1	permeability	permeability	NOUN
iogr-1312	102	2	response	response	NOUN
iogr-1312	102	3	.	.	PUNCT
iogr-1312	103	1	figures	figure	NOUN
iogr-1312	103	2	1	1	NUM
iogr-1312	103	3	and	and	CCONJ
iogr-1312	103	4	2	2	NUM
iogr-1312	103	5	illustrate	illustrate	VERB
iogr-1312	103	6	the	the	DET
iogr-1312	103	7	permeability	permeability	NOUN
iogr-1312	103	8	response	response	NOUN
iogr-1312	103	9	for	for	ADP
iogr-1312	103	10	the	the	DET
iogr-1312	103	11	training	training	NOUN
iogr-1312	103	12	data	datum	NOUN
iogr-1312	103	13	,	,	PUNCT
iogr-1312	103	14	validation	validation	NOUN
iogr-1312	103	15	data	datum	NOUN
iogr-1312	103	16	,	,	PUNCT
iogr-1312	103	17	and	and	CCONJ
iogr-1312	103	18	test	test	NOUN
iogr-1312	103	19	data	datum	NOUN
iogr-1312	103	20	,	,	PUNCT
iogr-1312	103	21	respectively	respectively	ADV
iogr-1312	103	22	.	.	PUNCT
iogr-1312	104	1	these	these	DET
iogr-1312	104	2	plots	plot	NOUN
iogr-1312	104	3	compare	compare	VERB
iogr-1312	104	4	the	the	DET
iogr-1312	104	5	actual	actual	ADJ
iogr-1312	104	6	permeability	permeability	NOUN
iogr-1312	104	7	values	value	NOUN
iogr-1312	104	8	against	against	ADP
iogr-1312	104	9	the	the	DET
iogr-1312	104	10	values	value	NOUN
iogr-1312	104	11	predicted	predict	VERB
iogr-1312	104	12	by	by	ADP
iogr-1312	104	13	the	the	DET
iogr-1312	104	14	model	model	NOUN
iogr-1312	104	15	.	.	PUNCT
iogr-1312	105	1	they	they	PRON
iogr-1312	105	2	are	be	AUX
iogr-1312	105	3	essential	essential	ADJ
iogr-1312	105	4	for	for	ADP
iogr-1312	105	5	evaluating	evaluate	VERB
iogr-1312	105	6	how	how	SCONJ
iogr-1312	105	7	well	well	ADV
iogr-1312	105	8	the	the	DET
iogr-1312	105	9	model	model	NOUN
iogr-1312	105	10	predicts	predict	VERB
iogr-1312	105	11	the	the	DET
iogr-1312	105	12	actual	actual	ADJ
iogr-1312	105	13	permeability	permeability	NOUN
iogr-1312	105	14	.	.	PUNCT
iogr-1312	106	1	the	the	DET
iogr-1312	106	2	strong	strong	ADJ
iogr-1312	106	3	alignment	alignment	NOUN
iogr-1312	106	4	of	of	ADP
iogr-1312	106	5	data	datum	NOUN
iogr-1312	106	6	points	point	NOUN
iogr-1312	106	7	along	along	ADP
iogr-1312	106	8	the	the	DET
iogr-1312	106	9	unit	unit	NOUN
iogr-1312	106	10	slope	slope	NOUN
iogr-1312	106	11	line	line	NOUN
iogr-1312	106	12	in	in	ADP
iogr-1312	106	13	these	these	DET
iogr-1312	106	14	plots	plot	NOUN
iogr-1312	106	15	indicates	indicate	VERB
iogr-1312	106	16	a	a	DET
iogr-1312	106	17	high	high	ADJ
iogr-1312	106	18	degree	degree	NOUN
iogr-1312	106	19	of	of	ADP
iogr-1312	106	20	accuracy	accuracy	NOUN
iogr-1312	106	21	in	in	ADP
iogr-1312	106	22	the	the	DET
iogr-1312	106	23	model	model	NOUN
iogr-1312	106	24	’s	’s	PART
iogr-1312	106	25	predictions	prediction	NOUN
iogr-1312	106	26	.	.	PUNCT
iogr-1312	107	1	figure	figure	NOUN
iogr-1312	107	2	1	1	NUM
iogr-1312	107	3	shows	show	VERB
iogr-1312	107	4	that	that	SCONJ
iogr-1312	107	5	the	the	DET
iogr-1312	107	6	model	model	NOUN
iogr-1312	107	7	captured	capture	VERB
iogr-1312	107	8	the	the	DET
iogr-1312	107	9	underlying	underlie	VERB
iogr-1312	107	10	patterns	pattern	NOUN
iogr-1312	107	11	in	in	ADP
iogr-1312	107	12	the	the	DET
iogr-1312	107	13	training	training	NOUN
iogr-1312	107	14	data	datum	NOUN
iogr-1312	107	15	very	very	ADV
iogr-1312	107	16	well	well	ADV
iogr-1312	107	17	,	,	PUNCT
iogr-1312	107	18	with	with	ADP
iogr-1312	107	19	most	most	ADJ
iogr-1312	107	20	data	datum	NOUN
iogr-1312	107	21	points	point	NOUN
iogr-1312	107	22	lying	lie	VERB
iogr-1312	107	23	close	close	ADV
iogr-1312	107	24	to	to	ADP
iogr-1312	107	25	the	the	DET
iogr-1312	107	26	line	line	NOUN
iogr-1312	107	27	of	of	ADP
iogr-1312	107	28	equality	equality	NOUN
iogr-1312	107	29	.	.	PUNCT
iogr-1312	108	1	this	this	DET
iogr-1312	108	2	strong	strong	ADJ
iogr-1312	108	3	correlation	correlation	NOUN
iogr-1312	108	4	demonstrates	demonstrate	VERB
iogr-1312	108	5	that	that	SCONJ
iogr-1312	108	6	the	the	DET
iogr-1312	108	7	model	model	NOUN
iogr-1312	108	8	has	have	AUX
iogr-1312	108	9	successfully	successfully	ADV
iogr-1312	108	10	learned	learn	VERB
iogr-1312	108	11	the	the	DET
iogr-1312	108	12	relationships	relationship	NOUN
iogr-1312	108	13	in	in	ADP
iogr-1312	108	14	the	the	DET
iogr-1312	108	15	training	training	NOUN
iogr-1312	108	16	data	datum	NOUN
iogr-1312	108	17	.	.	PUNCT
iogr-1312	109	1	figure	figure	NOUN
iogr-1312	109	2	2(a	2(a	NUM
iogr-1312	109	3	)	)	PUNCT
iogr-1312	109	4	reveals	reveal	VERB
iogr-1312	109	5	that	that	SCONJ
iogr-1312	109	6	the	the	DET
iogr-1312	109	7	model	model	NOUN
iogr-1312	109	8	generalizes	generalize	VERB
iogr-1312	109	9	well	well	ADV
iogr-1312	109	10	to	to	ADP
iogr-1312	109	11	unseen	unseen	ADJ
iogr-1312	109	12	data	datum	NOUN
iogr-1312	109	13	.	.	PUNCT
iogr-1312	110	1	the	the	DET
iogr-1312	110	2	proximity	proximity	NOUN
iogr-1312	110	3	of	of	ADP
iogr-1312	110	4	the	the	DET
iogr-1312	110	5	data	data	NOUN
iogr-1312	110	6	points	point	NOUN
iogr-1312	110	7	to	to	ADP
iogr-1312	110	8	the	the	DET
iogr-1312	110	9	line	line	NOUN
iogr-1312	110	10	of	of	ADP
iogr-1312	110	11	equality	equality	NOUN
iogr-1312	110	12	indicates	indicate	VERB
iogr-1312	110	13	that	that	SCONJ
iogr-1312	110	14	the	the	DET
iogr-1312	110	15	model	model	NOUN
iogr-1312	110	16	maintains	maintain	VERB
iogr-1312	110	17	its	its	PRON
iogr-1312	110	18	predictive	predictive	ADJ
iogr-1312	110	19	power	power	NOUN
iogr-1312	110	20	when	when	SCONJ
iogr-1312	110	21	applied	apply	VERB
iogr-1312	110	22	to	to	ADP
iogr-1312	110	23	new	new	ADJ
iogr-1312	110	24	data	datum	NOUN
iogr-1312	110	25	,	,	PUNCT
iogr-1312	110	26	reinforcing	reinforce	VERB
iogr-1312	110	27	the	the	DET
iogr-1312	110	28	model	model	NOUN
iogr-1312	110	29	's	's	PART
iogr-1312	110	30	robustness	robustness	NOUN
iogr-1312	110	31	.	.	PUNCT
iogr-1312	111	1	figure	figure	NOUN
iogr-1312	111	2	2(b	2(b	NUM
iogr-1312	111	3	)	)	PUNCT
iogr-1312	111	4	further	far	ADV
iogr-1312	111	5	validates	validate	VERB
iogr-1312	111	6	the	the	DET
iogr-1312	111	7	model	model	NOUN
iogr-1312	111	8	's	's	PART
iogr-1312	111	9	accuracy	accuracy	NOUN
iogr-1312	111	10	with	with	ADP
iogr-1312	111	11	the	the	DET
iogr-1312	111	12	testing	testing	NOUN
iogr-1312	111	13	data	datum	NOUN
iogr-1312	111	14	.	.	PUNCT
iogr-1312	112	1	consistent	consistent	ADJ
iogr-1312	112	2	performance	performance	NOUN
iogr-1312	112	3	of	of	ADP
iogr-1312	112	4	training	training	NOUN
iogr-1312	112	5	,	,	PUNCT
iogr-1312	112	6	validation	validation	NOUN
iogr-1312	112	7	and	and	CCONJ
iogr-1312	112	8	testing	testing	NOUN
iogr-1312	112	9	datasets	dataset	NOUN
iogr-1312	112	10	suggests	suggest	VERB
iogr-1312	112	11	that	that	SCONJ
iogr-1312	112	12	the	the	DET
iogr-1312	112	13	model	model	NOUN
iogr-1312	112	14	is	be	AUX
iogr-1312	112	15	not	not	PART
iogr-1312	112	16	overfitting	overfitte	VERB
iogr-1312	112	17	and	and	CCONJ
iogr-1312	112	18	has	have	VERB
iogr-1312	112	19	a	a	DET
iogr-1312	112	20	strong	strong	ADJ
iogr-1312	112	21	ability	ability	NOUN
iogr-1312	112	22	to	to	PART
iogr-1312	112	23	generalize	generalize	VERB
iogr-1312	112	24	.	.	PUNCT
iogr-1312	113	1	figure	figure	NOUN
iogr-1312	113	2	1	1	NUM
iogr-1312	113	3	—	—	PUNCT
iogr-1312	113	4	permeability	permeability	NOUN
iogr-1312	113	5	response	response	NOUN
iogr-1312	113	6	plot	plot	NOUN
iogr-1312	113	7	.	.	PUNCT
iogr-1312	114	1	(	(	PUNCT
iogr-1312	114	2	a)training	a)traine	VERB
iogr-1312	114	3	dataset	dataset	NOUN
iogr-1312	114	4	(	(	PUNCT
iogr-1312	114	5	b	b	NOUN
iogr-1312	114	6	)	)	PUNCT
iogr-1312	114	7	testing	testing	NOUN
iogr-1312	114	8	dataset	dataset	ADJ
iogr-1312	114	9	figure	figure	NOUN
iogr-1312	114	10	2	2	NUM
iogr-1312	114	11	—	—	PUNCT
iogr-1312	114	12	validation	validation	NOUN
iogr-1312	114	13	cross	cross	NOUN
iogr-1312	114	14	plots	plot	NOUN
iogr-1312	114	15	.	.	PUNCT
iogr-1312	115	1	the	the	DET
iogr-1312	115	2	high	high	ADJ
iogr-1312	115	3	r²	r²	NOUN
iogr-1312	115	4	values	value	NOUN
iogr-1312	115	5	and	and	CCONJ
iogr-1312	115	6	low	low	ADJ
iogr-1312	115	7	rmse	rmse	PROPN
iogr-1312	115	8	,	,	PUNCT
iogr-1312	115	9	mse	mse	PROPN
iogr-1312	115	10	,	,	PUNCT
iogr-1312	115	11	and	and	CCONJ
iogr-1312	115	12	mae	mae	PROPN
iogr-1312	115	13	values	value	NOUN
iogr-1312	115	14	across	across	ADP
iogr-1312	115	15	all	all	DET
iogr-1312	115	16	datasets	dataset	NOUN
iogr-1312	115	17	indicate	indicate	VERB
iogr-1312	115	18	that	that	SCONJ
iogr-1312	115	19	the	the	DET
iogr-1312	115	20	trained	train	VERB
iogr-1312	115	21	model	model	NOUN
iogr-1312	115	22	is	be	AUX
iogr-1312	115	23	accurate	accurate	ADJ
iogr-1312	115	24	and	and	CCONJ
iogr-1312	115	25	generalizes	generalize	VERB
iogr-1312	115	26	well	well	ADV
iogr-1312	115	27	to	to	ADP
iogr-1312	115	28	unseen	unseen	ADJ
iogr-1312	115	29	data	datum	NOUN
iogr-1312	115	30	.	.	PUNCT
iogr-1312	116	1	the	the	DET
iogr-1312	116	2	linear	linear	PROPN
iogr-1312	116	3	regression	regression	NOUN
iogr-1312	116	4	model	model	NOUN
iogr-1312	116	5	equation	equation	NOUN
iogr-1312	116	6	derived	derive	VERB
iogr-1312	116	7	from	from	ADP
iogr-1312	116	8	the	the	DET
iogr-1312	116	9	bestperforming	bestperforme	VERB
iogr-1312	116	10	model	model	NOUN
iogr-1312	116	11	(	(	PUNCT
iogr-1312	116	12	interactions	interaction	NOUN
iogr-1312	116	13	linear	linear	PROPN
iogr-1312	116	14	regression	regression	NOUN
iogr-1312	116	15	)	)	PUNCT
iogr-1312	116	16	provides	provide	VERB
iogr-1312	116	17	a	a	DET
iogr-1312	116	18	mathematical	mathematical	ADJ
iogr-1312	116	19	framework	framework	NOUN
iogr-1312	116	20	for	for	ADP
iogr-1312	116	21	permeability	permeability	NOUN
iogr-1312	116	22	improved	improve	VERB
iogr-1312	116	23	oil	oil	NOUN
iogr-1312	116	24	and	and	CCONJ
iogr-1312	116	25	gas	gas	NOUN
iogr-1312	116	26	recovery	recovery	NOUN
iogr-1312	116	27	6	6	NUM
iogr-1312	116	28	prediction	prediction	NOUN
iogr-1312	116	29	.	.	PUNCT
iogr-1312	117	1	the	the	DET
iogr-1312	117	2	coefficients	coefficient	NOUN
iogr-1312	117	3	of	of	ADP
iogr-1312	117	4	the	the	DET
iogr-1312	117	5	linear	linear	ADJ
iogr-1312	117	6	regression	regression	NOUN
iogr-1312	117	7	model	model	NOUN
iogr-1312	117	8	used	use	VERB
iogr-1312	117	9	for	for	ADP
iogr-1312	117	10	permeability	permeability	NOUN
iogr-1312	117	11	prediction	prediction	NOUN
iogr-1312	117	12	are	be	AUX
iogr-1312	117	13	detailed	detail	VERB
iogr-1312	117	14	in	in	ADP
iogr-1312	117	15	table	table	NOUN
iogr-1312	117	16	4	4	NUM
iogr-1312	117	17	,	,	PUNCT
iogr-1312	117	18	offering	offer	VERB
iogr-1312	117	19	insight	insight	NOUN
iogr-1312	117	20	into	into	ADP
iogr-1312	117	21	the	the	DET
iogr-1312	117	22	relative	relative	ADJ
iogr-1312	117	23	influence	influence	NOUN
iogr-1312	117	24	of	of	ADP
iogr-1312	117	25	each	each	DET
iogr-1312	117	26	predictor	predictor	NOUN
iogr-1312	117	27	variable	variable	NOUN
iogr-1312	117	28	and	and	CCONJ
iogr-1312	117	29	their	their	PRON
iogr-1312	117	30	interactions	interaction	NOUN
iogr-1312	117	31	on	on	ADP
iogr-1312	117	32	permeability	permeability	NOUN
iogr-1312	117	33	.	.	PUNCT
iogr-1312	118	1	table	table	NOUN
iogr-1312	118	2	4	4	NUM
iogr-1312	118	3	—	—	PUNCT
iogr-1312	118	4	coefficients	coefficient	NOUN
iogr-1312	118	5	of	of	ADP
iogr-1312	118	6	linear	linear	PROPN
iogr-1312	118	7	model	model	NOUN
iogr-1312	118	8	.	.	PUNCT
iogr-1312	119	1	estimate	estimate	VERB
iogr-1312	119	2	squared	square	VERB
iogr-1312	119	3	error	error	NOUN
iogr-1312	119	4	t	t	PROPN
iogr-1312	119	5	-	-	PUNCT
iogr-1312	119	6	sat	sit	VERB
iogr-1312	119	7	*	*	PUNCT
iogr-1312	119	8	p	p	NOUN
iogr-1312	119	9	-	-	PUNCT
iogr-1312	119	10	value	value	NOUN
iogr-1312	119	11	*	*	NOUN
iogr-1312	119	12	*	*	PUNCT
iogr-1312	119	13	intercept	intercept	VERB
iogr-1312	119	14	109.0659	109.0659	NUM
iogr-1312	119	15	0.495134	0.495134	NUM
iogr-1312	119	16	220.2755761	220.2755761	NUM
iogr-1312	119	17	0	0	NUM
iogr-1312	120	1	x1	x1	NOUN
iogr-1312	120	2	0.118014	0.118014	NUM
iogr-1312	120	3	0.006208	0.006208	NUM
iogr-1312	120	4	19.00926865	19.00926865	NUM
iogr-1312	120	5	1.34e-78	1.34e-78	NUM
iogr-1312	120	6	x2	x2	PROPN
iogr-1312	120	7	-40.8582	-40.8582	SYM
iogr-1312	120	8	0.2262	0.2262	NUM
iogr-1312	120	9	-180.628774	-180.628774	PROPN
iogr-1312	120	10	0	0	PUNCT
iogr-1312	121	1	x3	x3	ADJ
iogr-1312	121	2	0.075784	0.075784	NUM
iogr-1312	121	3	0.001037	0.001037	NUM
iogr-1312	121	4	73.05783645	73.05783645	NUM
iogr-1312	121	5	0	0	NUM
iogr-1312	122	1	x1*x2	x1*x2	PROPN
iogr-1312	122	2	-0.06092	-0.06092	PROPN
iogr-1312	122	3	0.002848	0.002848	NUM
iogr-1312	122	4	-21.3910936	-21.3910936	SYM
iogr-1312	122	5	2.19e-98	2.19e-98	NUM
iogr-1312	123	1	x1*x3	x1*x3	NUM
iogr-1312	123	2	0.000154	0.000154	NUM
iogr-1312	123	3	1.54e-05	1.54e-05	NUM
iogr-1312	123	4	9.998604339	9.998604339	NUM
iogr-1312	123	5	2.22e-23	2.22e-23	NUM
iogr-1312	123	6	x2*x3	x2*x3	PROPN
iogr-1312	123	7	-0.01466	-0.01466	VERB
iogr-1312	123	8	0.000853	0.000853	NUM
iogr-1312	123	9	-17.1769302	-17.1769302	SYM
iogr-1312	123	10	8.35e-65	8.35e-65	NUM
iogr-1312	123	11	*	*	PUNCT
iogr-1312	123	12	the	the	DET
iogr-1312	123	13	t	t	NOUN
iogr-1312	123	14	-	-	PUNCT
iogr-1312	123	15	stat	stat	PROPN
iogr-1312	123	16	is	be	AUX
iogr-1312	123	17	simply	simply	ADV
iogr-1312	123	18	the	the	DET
iogr-1312	123	19	estimate	estimate	NOUN
iogr-1312	123	20	divided	divide	VERB
iogr-1312	123	21	by	by	ADP
iogr-1312	123	22	the	the	DET
iogr-1312	123	23	squared	square	VERB
iogr-1312	123	24	error	error	NOUN
iogr-1312	123	25	.	.	PUNCT
iogr-1312	124	1	*	*	PUNCT
iogr-1312	124	2	*	*	PUNCT
iogr-1312	124	3	the	the	DET
iogr-1312	124	4	p	p	NOUN
iogr-1312	124	5	-	-	PUNCT
iogr-1312	124	6	value	value	NOUN
iogr-1312	124	7	is	be	AUX
iogr-1312	124	8	associated	associate	VERB
iogr-1312	124	9	with	with	ADP
iogr-1312	124	10	the	the	DET
iogr-1312	124	11	t	t	NOUN
iogr-1312	124	12	-	-	PUNCT
iogr-1312	124	13	stat	stat	NOUN
iogr-1312	124	14	and	and	CCONJ
iogr-1312	124	15	shows	show	VERB
iogr-1312	124	16	if	if	SCONJ
iogr-1312	124	17	a	a	DET
iogr-1312	124	18	given	give	VERB
iogr-1312	124	19	response	response	NOUN
iogr-1312	124	20	variable	variable	NOUN
iogr-1312	124	21	is	be	AUX
iogr-1312	124	22	significant	significant	ADJ
iogr-1312	124	23	in	in	ADP
iogr-1312	124	24	the	the	DET
iogr-1312	124	25	model	model	NOUN
iogr-1312	124	26	.	.	PUNCT
iogr-1312	125	1	the	the	DET
iogr-1312	125	2	linear	linear	PROPN
iogr-1312	125	3	regression	regression	NOUN
iogr-1312	125	4	model	model	NOUN
iogr-1312	125	5	equation	equation	NOUN
iogr-1312	125	6	derived	derive	VERB
iogr-1312	125	7	from	from	ADP
iogr-1312	125	8	these	these	DET
iogr-1312	125	9	coefficients	coefficient	NOUN
iogr-1312	125	10	is	be	AUX
iogr-1312	125	11	expressed	express	VERB
iogr-1312	125	12	as	as	ADP
iogr-1312	125	13	,	,	PUNCT
iogr-1312	125	14	perm=109.0659	perm=109.0659	X
iogr-1312	125	15	+	+	NOUN
iogr-1312	125	16	0.1180x1−40.8582x2	0.1180x1−40.8582x2	NOUN
iogr-1312	125	17	+	+	NOUN
iogr-1312	125	18	0.0758x3−0.0609x1x2	0.0758x3−0.0609x1x2	NOUN
iogr-1312	125	19	+	+	NOUN
iogr-1312	125	20	0.000154x1x3−0.0147x2x3,	0.000154x1x3−0.0147x2x3,	NUM
iogr-1312	125	21	.....................	.....................	PUNCT
iogr-1312	125	22	(3	(3	NUM
iogr-1312	125	23	)	)	PUNCT
iogr-1312	125	24	eq	eq	NOUN
iogr-1312	125	25	.	.	PROPN
iogr-1312	125	26	3	3	NUM
iogr-1312	125	27	can	can	AUX
iogr-1312	125	28	be	be	AUX
iogr-1312	125	29	applied	apply	VERB
iogr-1312	125	30	in	in	ADP
iogr-1312	125	31	practical	practical	ADJ
iogr-1312	125	32	scenarios	scenario	NOUN
iogr-1312	125	33	for	for	ADP
iogr-1312	125	34	quick	quick	ADJ
iogr-1312	125	35	and	and	CCONJ
iogr-1312	125	36	reliable	reliable	ADJ
iogr-1312	125	37	permeability	permeability	NOUN
iogr-1312	125	38	estimation	estimation	NOUN
iogr-1312	125	39	,	,	PUNCT
iogr-1312	125	40	making	make	VERB
iogr-1312	125	41	it	it	PRON
iogr-1312	125	42	a	a	DET
iogr-1312	125	43	valuable	valuable	ADJ
iogr-1312	125	44	tool	tool	NOUN
iogr-1312	125	45	for	for	ADP
iogr-1312	125	46	reservoir	reservoir	NOUN
iogr-1312	125	47	engineers	engineer	NOUN
iogr-1312	125	48	.	.	PUNCT
iogr-1312	126	1	figure	figure	VERB
iogr-1312	126	2	3	3	NUM
iogr-1312	126	3	—	—	PUNCT
iogr-1312	126	4	cross	cross	VERB
iogr-1312	126	5	plot	plot	NOUN
iogr-1312	126	6	of	of	ADP
iogr-1312	126	7	actual	actual	ADJ
iogr-1312	126	8	versus	versus	ADP
iogr-1312	126	9	model	model	NOUN
iogr-1312	126	10	predicted	predict	VERB
iogr-1312	126	11	permeability	permeability	NOUN
iogr-1312	126	12	.	.	PUNCT
iogr-1312	127	1	figure	figure	NOUN
iogr-1312	127	2	3	3	NUM
iogr-1312	127	3	shows	show	VERB
iogr-1312	127	4	that	that	SCONJ
iogr-1312	127	5	actual	actual	ADJ
iogr-1312	127	6	permeability	permeability	NOUN
iogr-1312	127	7	versus	versus	ADP
iogr-1312	127	8	model	model	NOUN
iogr-1312	127	9	-	-	PUNCT
iogr-1312	127	10	predicted	predict	VERB
iogr-1312	127	11	permeability	permeability	NOUN
iogr-1312	127	12	reveals	reveal	VERB
iogr-1312	127	13	a	a	DET
iogr-1312	127	14	strong	strong	ADJ
iogr-1312	127	15	correlation	correlation	NOUN
iogr-1312	127	16	between	between	ADP
iogr-1312	127	17	the	the	DET
iogr-1312	127	18	measured	measure	VERB
iogr-1312	127	19	and	and	CCONJ
iogr-1312	127	20	predicted	predict	VERB
iogr-1312	127	21	values	value	NOUN
iogr-1312	127	22	,	,	PUNCT
iogr-1312	127	23	with	with	ADP
iogr-1312	127	24	most	most	ADJ
iogr-1312	127	25	of	of	ADP
iogr-1312	127	26	the	the	DET
iogr-1312	127	27	data	data	NOUN
iogr-1312	127	28	points	point	NOUN
iogr-1312	127	29	lying	lie	VERB
iogr-1312	127	30	close	close	ADV
iogr-1312	127	31	to	to	ADP
iogr-1312	127	32	the	the	DET
iogr-1312	127	33	unit	unit	NOUN
iogr-1312	127	34	slope	slope	NOUN
iogr-1312	127	35	line	line	NOUN
iogr-1312	127	36	.	.	PUNCT
iogr-1312	128	1	it	it	PRON
iogr-1312	128	2	further	far	ADV
iogr-1312	128	3	confirms	confirm	VERB
iogr-1312	128	4	the	the	DET
iogr-1312	128	5	model	model	NOUN
iogr-1312	128	6	’s	’s	PART
iogr-1312	128	7	accuracy	accuracy	NOUN
iogr-1312	128	8	and	and	CCONJ
iogr-1312	128	9	its	its	PRON
iogr-1312	128	10	potential	potential	NOUN
iogr-1312	128	11	for	for	ADP
iogr-1312	128	12	practical	practical	ADJ
iogr-1312	128	13	application	application	NOUN
iogr-1312	128	14	in	in	ADP
iogr-1312	128	15	predicting	predict	VERB
iogr-1312	128	16	permeability	permeability	NOUN
iogr-1312	128	17	.	.	PUNCT
iogr-1312	129	1	artificial	artificial	ADJ
iogr-1312	129	2	neural	neural	ADJ
iogr-1312	129	3	network	network	NOUN
iogr-1312	129	4	(	(	PUNCT
iogr-1312	129	5	ann	ann	PROPN
iogr-1312	129	6	)	)	PUNCT
iogr-1312	129	7	model	model	NOUN
iogr-1312	129	8	.	.	PUNCT
iogr-1312	130	1	figure	figure	VERB
iogr-1312	130	2	4	4	NUM
iogr-1312	130	3	presents	present	VERB
iogr-1312	130	4	the	the	DET
iogr-1312	130	5	pearson	pearson	PROPN
iogr-1312	130	6	’s	’s	PART
iogr-1312	130	7	correlation	correlation	NOUN
iogr-1312	130	8	matrix	matrix	NOUN
iogr-1312	130	9	for	for	ADP
iogr-1312	130	10	all	all	DET
iogr-1312	130	11	parameters	parameter	NOUN
iogr-1312	130	12	in	in	ADP
iogr-1312	130	13	the	the	DET
iogr-1312	130	14	dataset	dataset	NOUN
iogr-1312	130	15	,	,	PUNCT
iogr-1312	130	16	providing	provide	VERB
iogr-1312	130	17	insight	insight	NOUN
iogr-1312	130	18	into	into	ADP
iogr-1312	130	19	the	the	DET
iogr-1312	130	20	relationships	relationship	NOUN
iogr-1312	130	21	between	between	ADP
iogr-1312	130	22	input	input	NOUN
iogr-1312	130	23	parameters	parameter	NOUN
iogr-1312	130	24	(	(	PUNCT
iogr-1312	130	25	gamma	gamma	PROPN
iogr-1312	130	26	ray	ray	PROPN
iogr-1312	130	27	,	,	PUNCT
iogr-1312	130	28	bulk	bulk	ADJ
iogr-1312	130	29	density	density	NOUN
iogr-1312	130	30	,	,	PUNCT
iogr-1312	130	31	and	and	CCONJ
iogr-1312	130	32	deep	deep	ADJ
iogr-1312	130	33	induction	induction	NOUN
iogr-1312	130	34	)	)	PUNCT
iogr-1312	130	35	and	and	CCONJ
iogr-1312	130	36	the	the	DET
iogr-1312	130	37	output	output	NOUN
iogr-1312	130	38	parameter	parameter	NOUN
iogr-1312	130	39	(	(	PUNCT
iogr-1312	130	40	permeability	permeability	NOUN
iogr-1312	130	41	)	)	PUNCT
iogr-1312	130	42	.	.	PUNCT
iogr-1312	131	1	r²	r²	NOUN
iogr-1312	131	2	=	=	PUNCT
iogr-1312	131	3	0.9909	0.9909	NUM
iogr-1312	131	4	0	0	NUM
iogr-1312	131	5	200	200	NUM
iogr-1312	131	6	400	400	NUM
iogr-1312	131	7	600	600	NUM
iogr-1312	131	8	800	800	NUM
iogr-1312	131	9	1000	1000	NUM
iogr-1312	131	10	0	0	NUM
iogr-1312	131	11	100	100	NUM
iogr-1312	131	12	200	200	NUM
iogr-1312	131	13	300	300	NUM
iogr-1312	131	14	400	400	NUM
iogr-1312	131	15	500	500	NUM
iogr-1312	131	16	600	600	NUM
iogr-1312	131	17	700	700	NUM
iogr-1312	131	18	800	800	NUM
iogr-1312	131	19	900	900	NUM
iogr-1312	131	20	m	m	NOUN
iogr-1312	131	21	o	o	NOUN
iogr-1312	131	22	d	d	X
iogr-1312	131	23	el	el	PROPN
iogr-1312	131	24	p	p	X
iogr-1312	131	25	re	re	PROPN
iogr-1312	131	26	d	d	PROPN
iogr-1312	131	27	ic	ic	X
iogr-1312	131	28	te	te	PROPN
iogr-1312	132	1	d	d	X
iogr-1312	132	2	p	p	X
iogr-1312	133	1	er	er	INTJ
iogr-1312	133	2	m	m	NOUN
iogr-1312	133	3	ea	ea	PROPN
iogr-1312	133	4	b	b	X
iogr-1312	133	5	il	il	PROPN
iogr-1312	133	6	it	it	PRON
iogr-1312	133	7	y	y	INTJ
iogr-1312	133	8	,	,	PUNCT
iogr-1312	133	9	m	m	VERB
iogr-1312	133	10	d	d	ADJ
iogr-1312	133	11	actual	actual	ADJ
iogr-1312	133	12	permeability	permeability	NOUN
iogr-1312	133	13	,	,	PUNCT
iogr-1312	133	14	md	md	PROPN
iogr-1312	133	15	improved	improve	VERB
iogr-1312	133	16	oil	oil	NOUN
iogr-1312	133	17	and	and	CCONJ
iogr-1312	133	18	gas	gas	NOUN
iogr-1312	133	19	recovery	recovery	NOUN
iogr-1312	133	20	7	7	NUM
iogr-1312	133	21	figure	figure	NOUN
iogr-1312	133	22	4	4	NUM
iogr-1312	133	23	—	—	PUNCT
iogr-1312	133	24	pearson	pearson	PROPN
iogr-1312	133	25	’s	’s	PART
iogr-1312	133	26	correlation	correlation	NOUN
iogr-1312	133	27	matrix	matrix	NOUN
iogr-1312	133	28	for	for	ADP
iogr-1312	133	29	all	all	DET
iogr-1312	133	30	parameter	parameter	NOUN
iogr-1312	133	31	in	in	ADP
iogr-1312	133	32	the	the	DET
iogr-1312	133	33	dataset	dataset	NOUN
iogr-1312	133	34	.	.	PUNCT
iogr-1312	134	1	bulk	bulk	ADJ
iogr-1312	134	2	density	density	NOUN
iogr-1312	134	3	exhibited	exhibit	VERB
iogr-1312	134	4	a	a	DET
iogr-1312	134	5	strong	strong	ADJ
iogr-1312	134	6	negative	negative	ADJ
iogr-1312	134	7	correlation	correlation	NOUN
iogr-1312	134	8	with	with	ADP
iogr-1312	134	9	permeability	permeability	NOUN
iogr-1312	134	10	,	,	PUNCT
iogr-1312	134	11	indicating	indicate	VERB
iogr-1312	134	12	that	that	SCONJ
iogr-1312	134	13	as	as	ADP
iogr-1312	134	14	bulk	bulk	ADJ
iogr-1312	134	15	density	density	NOUN
iogr-1312	134	16	increases	increase	NOUN
iogr-1312	134	17	,	,	PUNCT
iogr-1312	134	18	permeability	permeability	NOUN
iogr-1312	134	19	tends	tend	VERB
iogr-1312	134	20	to	to	PART
iogr-1312	134	21	decrease	decrease	VERB
iogr-1312	134	22	.	.	PUNCT
iogr-1312	135	1	this	this	PRON
iogr-1312	135	2	is	be	AUX
iogr-1312	135	3	consistent	consistent	ADJ
iogr-1312	135	4	with	with	ADP
iogr-1312	135	5	geological	geological	ADJ
iogr-1312	135	6	principles	principle	NOUN
iogr-1312	135	7	,	,	PUNCT
iogr-1312	135	8	where	where	SCONJ
iogr-1312	135	9	higher	high	ADJ
iogr-1312	135	10	density	density	NOUN
iogr-1312	135	11	formations	formation	NOUN
iogr-1312	135	12	often	often	ADV
iogr-1312	135	13	have	have	VERB
iogr-1312	135	14	lower	low	ADJ
iogr-1312	135	15	porosity	porosity	NOUN
iogr-1312	135	16	and	and	CCONJ
iogr-1312	135	17	permeability	permeability	NOUN
iogr-1312	135	18	.	.	PUNCT
iogr-1312	136	1	deep	deep	ADJ
iogr-1312	136	2	induction	induction	NOUN
iogr-1312	136	3	showed	show	VERB
iogr-1312	136	4	a	a	DET
iogr-1312	136	5	positive	positive	ADJ
iogr-1312	136	6	correlation	correlation	NOUN
iogr-1312	136	7	with	with	ADP
iogr-1312	136	8	permeability	permeability	NOUN
iogr-1312	136	9	,	,	PUNCT
iogr-1312	136	10	suggesting	suggest	VERB
iogr-1312	136	11	that	that	SCONJ
iogr-1312	136	12	higher	high	ADJ
iogr-1312	136	13	values	value	NOUN
iogr-1312	136	14	of	of	ADP
iogr-1312	136	15	deep	deep	ADJ
iogr-1312	136	16	induction	induction	NOUN
iogr-1312	136	17	are	be	AUX
iogr-1312	136	18	associated	associate	VERB
iogr-1312	136	19	with	with	ADP
iogr-1312	136	20	higher	high	ADJ
iogr-1312	136	21	permeability	permeability	NOUN
iogr-1312	136	22	,	,	PUNCT
iogr-1312	136	23	likely	likely	ADJ
iogr-1312	136	24	due	due	ADP
iogr-1312	136	25	to	to	ADP
iogr-1312	136	26	the	the	DET
iogr-1312	136	27	presence	presence	NOUN
iogr-1312	136	28	of	of	ADP
iogr-1312	136	29	more	more	ADV
iogr-1312	136	30	conductive	conductive	ADJ
iogr-1312	136	31	,	,	PUNCT
iogr-1312	136	32	porous	porous	ADJ
iogr-1312	136	33	formations	formation	NOUN
iogr-1312	136	34	.	.	PUNCT
iogr-1312	137	1	gamma	gamma	PROPN
iogr-1312	137	2	rays	ray	NOUN
iogr-1312	137	3	had	have	VERB
iogr-1312	137	4	a	a	DET
iogr-1312	137	5	weak	weak	ADJ
iogr-1312	137	6	correlation	correlation	NOUN
iogr-1312	137	7	with	with	ADP
iogr-1312	137	8	permeability	permeability	NOUN
iogr-1312	137	9	,	,	PUNCT
iogr-1312	137	10	implying	imply	VERB
iogr-1312	137	11	that	that	SCONJ
iogr-1312	137	12	its	its	PRON
iogr-1312	137	13	influence	influence	NOUN
iogr-1312	137	14	on	on	ADP
iogr-1312	137	15	permeability	permeability	NOUN
iogr-1312	137	16	is	be	AUX
iogr-1312	137	17	less	less	ADV
iogr-1312	137	18	significant	significant	ADJ
iogr-1312	137	19	compared	compare	VERB
iogr-1312	137	20	to	to	ADP
iogr-1312	137	21	the	the	DET
iogr-1312	137	22	other	other	ADJ
iogr-1312	137	23	variables	variable	NOUN
iogr-1312	137	24	.	.	PUNCT
iogr-1312	138	1	these	these	DET
iogr-1312	138	2	correlations	correlation	NOUN
iogr-1312	138	3	are	be	AUX
iogr-1312	138	4	essential	essential	ADJ
iogr-1312	138	5	for	for	ADP
iogr-1312	138	6	understanding	understand	VERB
iogr-1312	138	7	the	the	DET
iogr-1312	138	8	influence	influence	NOUN
iogr-1312	138	9	of	of	ADP
iogr-1312	138	10	each	each	DET
iogr-1312	138	11	parameter	parameter	NOUN
iogr-1312	138	12	on	on	ADP
iogr-1312	138	13	the	the	DET
iogr-1312	138	14	output	output	NOUN
iogr-1312	138	15	and	and	CCONJ
iogr-1312	138	16	guiding	guide	VERB
iogr-1312	138	17	the	the	DET
iogr-1312	138	18	feature	feature	NOUN
iogr-1312	138	19	selection	selection	NOUN
iogr-1312	138	20	process	process	NOUN
iogr-1312	138	21	.	.	PUNCT
iogr-1312	139	1	ann	ann	PROPN
iogr-1312	139	2	structure	structure	NOUN
iogr-1312	139	3	and	and	CCONJ
iogr-1312	139	4	performance	performance	NOUN
iogr-1312	139	5	.	.	PUNCT
iogr-1312	140	1	six	six	NUM
iogr-1312	140	2	different	different	ADJ
iogr-1312	140	3	ann	ann	PROPN
iogr-1312	140	4	structures	structure	NOUN
iogr-1312	140	5	were	be	AUX
iogr-1312	140	6	constructed	construct	VERB
iogr-1312	140	7	and	and	CCONJ
iogr-1312	140	8	evaluated	evaluate	VERB
iogr-1312	140	9	based	base	VERB
iogr-1312	140	10	on	on	ADP
iogr-1312	140	11	8,739	8,739	NUM
iogr-1312	140	12	data	datum	NOUN
iogr-1312	140	13	points	point	NOUN
iogr-1312	140	14	.	.	PUNCT
iogr-1312	141	1	the	the	DET
iogr-1312	141	2	statistical	statistical	ADJ
iogr-1312	141	3	performance	performance	NOUN
iogr-1312	141	4	of	of	ADP
iogr-1312	141	5	each	each	DET
iogr-1312	141	6	structure	structure	NOUN
iogr-1312	141	7	is	be	AUX
iogr-1312	141	8	summarized	summarize	VERB
iogr-1312	141	9	in	in	ADP
iogr-1312	141	10	table	table	NOUN
iogr-1312	141	11	5	5	NUM
iogr-1312	141	12	.	.	PUNCT
iogr-1312	141	13	table	table	NOUN
iogr-1312	141	14	5	5	NUM
iogr-1312	141	15	—	—	PUNCT
iogr-1312	141	16	statistical	statistical	ADJ
iogr-1312	141	17	performance	performance	NOUN
iogr-1312	141	18	of	of	ADP
iogr-1312	141	19	ann	ann	PROPN
iogr-1312	141	20	structures	structure	NOUN
iogr-1312	141	21	.	.	PUNCT
iogr-1312	142	1	ann	ann	PROPN
iogr-1312	142	2	structure	structure	PROPN
iogr-1312	142	3	mae	mae	PROPN
iogr-1312	142	4	rmse	rmse	PROPN
iogr-1312	142	5	r2	r2	PROPN
iogr-1312	142	6	n-5	n-5	PROPN
iogr-1312	142	7	1.0818	1.0818	NUM
iogr-1312	142	8	80.9924	80.9924	NUM
iogr-1312	142	9	0.9931	0.9931	NUM
iogr-1312	142	10	n-6	n-6	NOUN
iogr-1312	142	11	0.8362	0.8362	NUM
iogr-1312	142	12	75.7039	75.7039	NUM
iogr-1312	142	13	0.9963	0.9963	NUM
iogr-1312	142	14	n-7	n-7	PROPN
iogr-1312	142	15	0.6145	0.6145	NUM
iogr-1312	142	16	65.2532	65.2532	NUM
iogr-1312	142	17	0.9980	0.9980	NUM
iogr-1312	142	18	n-8	n-8	ADV
iogr-1312	142	19	0.7439	0.7439	NUM
iogr-1312	142	20	76.8524	76.8524	NUM
iogr-1312	142	21	0.9962	0.9962	NUM
iogr-1312	142	22	n-9	n-9	NOUN
iogr-1312	142	23	0.5985	0.5985	NUM
iogr-1312	142	24	71.9866	71.9866	NUM
iogr-1312	142	25	0.9979	0.9979	NUM
iogr-1312	142	26	n-10	n-10	NOUN
iogr-1312	142	27	0.1445	0.1445	NUM
iogr-1312	142	28	29.9016	29.9016	NUM
iogr-1312	142	29	0.9996	0.9996	NUM
iogr-1312	142	30	among	among	ADP
iogr-1312	142	31	the	the	DET
iogr-1312	142	32	six	six	NUM
iogr-1312	142	33	ann	ann	PROPN
iogr-1312	142	34	structures	structure	NOUN
iogr-1312	142	35	,	,	PUNCT
iogr-1312	142	36	the	the	DET
iogr-1312	142	37	n-10	n-10	ADJ
iogr-1312	142	38	structure	structure	NOUN
iogr-1312	142	39	achieved	achieve	VERB
iogr-1312	142	40	the	the	DET
iogr-1312	142	41	best	good	ADJ
iogr-1312	142	42	performance	performance	NOUN
iogr-1312	142	43	.	.	PUNCT
iogr-1312	143	1	it	it	PRON
iogr-1312	143	2	achieved	achieve	VERB
iogr-1312	143	3	the	the	DET
iogr-1312	143	4	lowest	low	ADJ
iogr-1312	143	5	rmse	rmse	NOUN
iogr-1312	143	6	(	(	PUNCT
iogr-1312	143	7	29.9016	29.9016	NUM
iogr-1312	143	8	)	)	PUNCT
iogr-1312	143	9	and	and	CCONJ
iogr-1312	143	10	the	the	DET
iogr-1312	143	11	highest	high	ADJ
iogr-1312	143	12	correlation	correlation	NOUN
iogr-1312	143	13	coefficient	coefficient	NOUN
iogr-1312	143	14	(	(	PUNCT
iogr-1312	143	15	0.9996	0.9996	NUM
iogr-1312	143	16	)	)	PUNCT
iogr-1312	143	17	,	,	PUNCT
iogr-1312	143	18	indicating	indicate	VERB
iogr-1312	143	19	an	an	DET
iogr-1312	143	20	exceptionally	exceptionally	ADV
iogr-1312	143	21	accurate	accurate	ADJ
iogr-1312	143	22	model	model	NOUN
iogr-1312	143	23	with	with	ADP
iogr-1312	143	24	minimal	minimal	ADJ
iogr-1312	143	25	prediction	prediction	NOUN
iogr-1312	143	26	error	error	NOUN
iogr-1312	143	27	.	.	PUNCT
iogr-1312	144	1	this	this	DET
iogr-1312	144	2	structure	structure	NOUN
iogr-1312	144	3	outperformed	outperform	VERB
iogr-1312	144	4	the	the	DET
iogr-1312	144	5	linear	linear	PROPN
iogr-1312	144	6	models	model	NOUN
iogr-1312	144	7	,	,	PUNCT
iogr-1312	144	8	highlighting	highlight	VERB
iogr-1312	144	9	the	the	DET
iogr-1312	144	10	strength	strength	NOUN
iogr-1312	144	11	of	of	ADP
iogr-1312	144	12	anns	anns	NOUN
iogr-1312	144	13	in	in	ADP
iogr-1312	144	14	capturing	capture	VERB
iogr-1312	144	15	complex	complex	ADJ
iogr-1312	144	16	,	,	PUNCT
iogr-1312	144	17	non	non	ADJ
iogr-1312	144	18	-	-	ADJ
iogr-1312	144	19	linear	linear	ADJ
iogr-1312	144	20	relationships	relationship	NOUN
iogr-1312	144	21	in	in	ADP
iogr-1312	144	22	the	the	DET
iogr-1312	144	23	data	datum	NOUN
iogr-1312	144	24	.	.	PUNCT
iogr-1312	145	1	improved	improve	VERB
iogr-1312	145	2	oil	oil	NOUN
iogr-1312	145	3	and	and	CCONJ
iogr-1312	145	4	gas	gas	NOUN
iogr-1312	145	5	recovery	recovery	NOUN
iogr-1312	145	6	8	8	NUM
iogr-1312	145	7	the	the	DET
iogr-1312	145	8	architecture	architecture	NOUN
iogr-1312	145	9	of	of	ADP
iogr-1312	145	10	the	the	DET
iogr-1312	145	11	n-10	n-10	PROPN
iogr-1312	145	12	ann	ann	PROPN
iogr-1312	145	13	,	,	PUNCT
iogr-1312	145	14	depicted	depict	VERB
iogr-1312	145	15	in	in	ADP
iogr-1312	145	16	figure	figure	NOUN
iogr-1312	145	17	5	5	NUM
iogr-1312	145	18	,	,	PUNCT
iogr-1312	145	19	includes	include	VERB
iogr-1312	145	20	an	an	DET
iogr-1312	145	21	optimized	optimize	VERB
iogr-1312	145	22	number	number	NOUN
iogr-1312	145	23	of	of	ADP
iogr-1312	145	24	neurons	neuron	NOUN
iogr-1312	145	25	and	and	CCONJ
iogr-1312	145	26	layers	layer	NOUN
iogr-1312	145	27	that	that	PRON
iogr-1312	145	28	enable	enable	VERB
iogr-1312	145	29	the	the	DET
iogr-1312	145	30	model	model	NOUN
iogr-1312	145	31	to	to	PART
iogr-1312	145	32	learn	learn	VERB
iogr-1312	145	33	the	the	DET
iogr-1312	145	34	intricate	intricate	ADJ
iogr-1312	145	35	patterns	pattern	NOUN
iogr-1312	145	36	in	in	ADP
iogr-1312	145	37	the	the	DET
iogr-1312	145	38	well	well	ADJ
iogr-1312	145	39	log	log	NOUN
iogr-1312	145	40	data	datum	NOUN
iogr-1312	145	41	.	.	PUNCT
iogr-1312	146	1	the	the	DET
iogr-1312	146	2	ability	ability	NOUN
iogr-1312	146	3	of	of	ADP
iogr-1312	146	4	the	the	DET
iogr-1312	146	5	ann	ann	PROPN
iogr-1312	146	6	to	to	PART
iogr-1312	146	7	model	model	VERB
iogr-1312	146	8	nonlinear	nonlinear	ADJ
iogr-1312	146	9	relationships	relationship	NOUN
iogr-1312	146	10	gives	give	VERB
iogr-1312	146	11	it	it	PRON
iogr-1312	146	12	an	an	DET
iogr-1312	146	13	edge	edge	NOUN
iogr-1312	146	14	over	over	ADP
iogr-1312	146	15	linear	linear	ADJ
iogr-1312	146	16	regression	regression	NOUN
iogr-1312	146	17	models	model	NOUN
iogr-1312	146	18	,	,	PUNCT
iogr-1312	146	19	particularly	particularly	ADV
iogr-1312	146	20	in	in	ADP
iogr-1312	146	21	complex	complex	ADJ
iogr-1312	146	22	reservoir	reservoir	NOUN
iogr-1312	146	23	environments	environment	NOUN
iogr-1312	146	24	.	.	PUNCT
iogr-1312	147	1	figure	figure	VERB
iogr-1312	147	2	5	5	NUM
iogr-1312	147	3	—	—	PUNCT
iogr-1312	147	4	structure	structure	NOUN
iogr-1312	147	5	of	of	ADP
iogr-1312	147	6	the	the	DET
iogr-1312	147	7	best	well	ADV
iogr-1312	147	8	trained	train	VERB
iogr-1312	147	9	ann	ann	PROPN
iogr-1312	147	10	.	.	PUNCT
iogr-1312	148	1	ann	ann	PROPN
iogr-1312	148	2	model	model	PROPN
iogr-1312	148	3	equation	equation	NOUN
iogr-1312	148	4	.	.	PUNCT
iogr-1312	149	1	the	the	DET
iogr-1312	149	2	ann	ann	PROPN
iogr-1312	149	3	model	model	NOUN
iogr-1312	149	4	developed	develop	VERB
iogr-1312	149	5	in	in	ADP
iogr-1312	149	6	this	this	DET
iogr-1312	149	7	study	study	NOUN
iogr-1312	149	8	is	be	AUX
iogr-1312	149	9	represented	represent	VERB
iogr-1312	149	10	by	by	ADP
iogr-1312	149	11	a	a	DET
iogr-1312	149	12	series	series	NOUN
iogr-1312	149	13	of	of	ADP
iogr-1312	149	14	equations	equation	NOUN
iogr-1312	149	15	(	(	PUNCT
iogr-1312	149	16	eq	eq	NOUN
iogr-1312	149	17	.	.	NOUN
iogr-1312	149	18	4	4	NUM
iogr-1312	149	19	to	to	PART
iogr-1312	149	20	9	9	NUM
iogr-1312	149	21	)	)	PUNCT
iogr-1312	149	22	that	that	PRON
iogr-1312	149	23	describe	describe	VERB
iogr-1312	149	24	the	the	DET
iogr-1312	149	25	transformation	transformation	NOUN
iogr-1312	149	26	of	of	ADP
iogr-1312	149	27	input	input	NOUN
iogr-1312	149	28	variables	variable	NOUN
iogr-1312	149	29	through	through	ADP
iogr-1312	149	30	the	the	DET
iogr-1312	149	31	network	network	NOUN
iogr-1312	149	32	's	's	PART
iogr-1312	149	33	layers	layer	NOUN
iogr-1312	149	34	to	to	PART
iogr-1312	149	35	produce	produce	VERB
iogr-1312	149	36	the	the	DET
iogr-1312	149	37	final	final	ADJ
iogr-1312	149	38	permeability	permeability	NOUN
iogr-1312	149	39	prediction	prediction	NOUN
iogr-1312	149	40	.	.	PUNCT
iogr-1312	150	1	kp	kp	PROPN
iogr-1312	150	2	=	=	NOUN
iogr-1312	150	3	1	1	NUM
iogr-1312	150	4	2	2	NUM
iogr-1312	150	5	(	(	PUNCT
iogr-1312	150	6	(	(	PUNCT
iogr-1312	150	7	𝑏2	𝑏2	PROPN
iogr-1312	150	8	+	+	PROPN
iogr-1312	150	9	𝐿𝑊2	𝐿𝑊2	PROPN
iogr-1312	150	10	∙	∙	PROPN
iogr-1312	150	11	tanh(𝑏1	tanh(𝑏1	NOUN
iogr-1312	151	1	+	+	CCONJ
iogr-1312	151	2	𝐼𝑊1	𝐼𝑊1	PROPN
iogr-1312	151	3	∙	∙	PROPN
iogr-1312	151	4	xn(−1:+1	xn(−1:+1	NUM
iogr-1312	151	5	)	)	PUNCT
iogr-1312	151	6	)	)	PUNCT
iogr-1312	151	7	)	)	PUNCT
iogr-1312	152	1	+	+	CCONJ
iogr-1312	152	2	1	1	X
iogr-1312	152	3	)	)	PUNCT
iogr-1312	152	4	(	(	PUNCT
iogr-1312	152	5	kmax	kmax	PROPN
iogr-1312	152	6	−	−	PROPN
iogr-1312	152	7	kmin	kmin	NOUN
iogr-1312	152	8	)	)	PUNCT
iogr-1312	153	1	+	+	NUM
iogr-1312	153	2	kmin,	kmin,	NOUN
iogr-1312	153	3	..................................................	..................................................	SYM
iogr-1312	153	4	(4	(4	NOUN
iogr-1312	153	5	)	)	PUNCT
iogr-1312	153	6	where	where	SCONJ
iogr-1312	153	7	,	,	PUNCT
iogr-1312	153	8	xn(−1:+1	xn(−1:+1	PRON
iogr-1312	153	9	)	)	PUNCT
iogr-1312	153	10	=	=	SYM
iogr-1312	153	11	2	2	NUM
iogr-1312	153	12	[	[	PUNCT
iogr-1312	153	13	𝑋𝑛(0:1)−xmin	𝑋𝑛(0:1)−xmin	NOUN
iogr-1312	153	14	𝑋𝑚𝑎𝑥−xmin	𝑋𝑚𝑎𝑥−xmin	NOUN
iogr-1312	153	15	]	]	X
iogr-1312	153	16	-1,	-1,	X
iogr-1312	153	17	...............................................................................................................................	...............................................................................................................................	X
iogr-1312	153	18	(5	(5	X
iogr-1312	153	19	)	)	PUNCT
iogr-1312	153	20	xn(0:1	xn(0:1	PROPN
iogr-1312	153	21	)	)	PUNCT
iogr-1312	154	1	=	=	PUNCT
iogr-1312	155	1	x−xmin	x−xmin	X
iogr-1312	155	2	xmax−xmin	xmax−xmin	NOUN
iogr-1312	155	3	,	,	PUNCT
iogr-1312	155	4	..........................................................................................................................................	..........................................................................................................................................	PROPN
iogr-1312	155	5	(	(	PUNCT
iogr-1312	155	6	6	6	NUM
iogr-1312	155	7	)	)	PUNCT
iogr-1312	155	8	x	x	X
iogr-1312	156	1	=	=	PUNCT
iogr-1312	157	1	[	[	X
iogr-1312	157	2	γ	γ	X
iogr-1312	157	3	ρd	ρd	PROPN
iogr-1312	157	4	id]t	id]t	PROPN
iogr-1312	157	5	,	,	PUNCT
iogr-1312	157	6	................................................................................................................................................	................................................................................................................................................	PUNCT
iogr-1312	157	7	(	(	PUNCT
iogr-1312	157	8	7	7	X
iogr-1312	157	9	)	)	PUNCT
iogr-1312	157	10	xmin	xmin	NOUN
iogr-1312	157	11	=	=	PUNCT
iogr-1312	158	1	[	[	X
iogr-1312	158	2	γmin	γmin	VERB
iogr-1312	158	3	ρdmin	ρdmin	NOUN
iogr-1312	158	4	idmin]t,	idmin]t,	NOUN
iogr-1312	158	5	...........................................................................................................................	...........................................................................................................................	PROPN
iogr-1312	158	6	(8	(8	NOUN
iogr-1312	158	7	)	)	PUNCT
iogr-1312	158	8	xmax	xmax	NOUN
iogr-1312	159	1	=	=	PUNCT
iogr-1312	160	1	[	[	X
iogr-1312	160	2	γmax	γmax	NOUN
iogr-1312	160	3	ρdmax	ρdmax	NOUN
iogr-1312	160	4	idmax]t,	idmax]t,	NOUN
iogr-1312	160	5	.........................................................................................................................	.........................................................................................................................	X
iogr-1312	160	6	(9	(9	NOUN
iogr-1312	160	7	)	)	PUNCT
iogr-1312	160	8	the	the	DET
iogr-1312	160	9	weights	weight	NOUN
iogr-1312	160	10	and	and	CCONJ
iogr-1312	160	11	biases	bias	NOUN
iogr-1312	160	12	extracted	extract	VERB
iogr-1312	160	13	for	for	ADP
iogr-1312	160	14	the	the	DET
iogr-1312	160	15	output	output	NOUN
iogr-1312	160	16	layer	layer	NOUN
iogr-1312	160	17	(	(	PUNCT
iogr-1312	160	18	lw2	lw2	ADV
iogr-1312	160	19	and	and	CCONJ
iogr-1312	160	20	b2	b2	NOUN
iogr-1312	160	21	)	)	PUNCT
iogr-1312	160	22	and	and	CCONJ
iogr-1312	160	23	the	the	DET
iogr-1312	160	24	hidden	hidden	ADJ
iogr-1312	160	25	layer	layer	NOUN
iogr-1312	160	26	(	(	PUNCT
iogr-1312	160	27	iw1	iw1	NOUN
iogr-1312	160	28	and	and	CCONJ
iogr-1312	160	29	b1	b1	NOUN
iogr-1312	160	30	)	)	PUNCT
iogr-1312	160	31	used	use	VERB
iogr-1312	160	32	in	in	ADP
iogr-1312	160	33	the	the	DET
iogr-1312	160	34	model	model	NOUN
iogr-1312	160	35	are	be	AUX
iogr-1312	160	36	shown	show	VERB
iogr-1312	160	37	in	in	ADP
iogr-1312	160	38	tables	table	NOUN
iogr-1312	160	39	6	6	NUM
iogr-1312	160	40	and	and	CCONJ
iogr-1312	160	41	7	7	NUM
iogr-1312	160	42	,	,	PUNCT
iogr-1312	160	43	respectively	respectively	ADV
iogr-1312	160	44	.	.	PUNCT
iogr-1312	161	1	table	table	NOUN
iogr-1312	161	2	6	6	NUM
iogr-1312	161	3	—	—	PUNCT
iogr-1312	161	4	key	key	ADJ
iogr-1312	161	5	parameters	parameter	NOUN
iogr-1312	161	6	for	for	ADP
iogr-1312	161	7	the	the	DET
iogr-1312	161	8	output	output	NOUN
iogr-1312	161	9	layer	layer	NOUN
iogr-1312	161	10	used	use	VERB
iogr-1312	161	11	in	in	ADP
iogr-1312	161	12	eq	eq	NOUN
iogr-1312	161	13	.	.	PROPN
iogr-1312	161	14	4	4	NUM
iogr-1312	161	15	.	.	NUM
iogr-1312	161	16	extracted	extract	VERB
iogr-1312	161	17	weight	weight	NOUN
iogr-1312	161	18	vector	vector	NOUN
iogr-1312	161	19	(	(	PUNCT
iogr-1312	161	20	lw2	lw2	ADJ
iogr-1312	161	21	)	)	PUNCT
iogr-1312	161	22	bias	bias	NOUN
iogr-1312	161	23	(	(	PUNCT
iogr-1312	161	24	b2	b2	NOUN
iogr-1312	161	25	)	)	PUNCT
iogr-1312	161	26	0.2514	0.2514	NUM
iogr-1312	161	27	-1.4538	-1.4538	NOUN
iogr-1312	161	28	-1.7993	-1.7993	AUX
iogr-1312	162	1	1.2766	1.2766	NUM
iogr-1312	162	2	0.4177	0.4177	NUM
iogr-1312	162	3	2.6805	2.6805	NUM
iogr-1312	162	4	0.5586	0.5586	NUM
iogr-1312	162	5	1.3820	1.3820	NUM
iogr-1312	162	6	-1.4926	-1.4926	NOUN
iogr-1312	162	7	2.3865	2.3865	NUM
iogr-1312	162	8	-0.3288	-0.3288	NOUN
iogr-1312	162	9	improved	improve	VERB
iogr-1312	162	10	oil	oil	NOUN
iogr-1312	162	11	and	and	CCONJ
iogr-1312	162	12	gas	gas	NOUN
iogr-1312	162	13	recovery	recovery	NOUN
iogr-1312	162	14	9	9	NUM
iogr-1312	162	15	table	table	NOUN
iogr-1312	162	16	7	7	NUM
iogr-1312	162	17	—	—	PUNCT
iogr-1312	162	18	key	key	ADJ
iogr-1312	162	19	parameters	parameter	NOUN
iogr-1312	162	20	for	for	ADP
iogr-1312	162	21	the	the	DET
iogr-1312	162	22	hidden	hide	VERB
iogr-1312	162	23	layer	layer	NOUN
iogr-1312	162	24	used	use	VERB
iogr-1312	162	25	in	in	ADP
iogr-1312	162	26	eq	eq	NOUN
iogr-1312	162	27	.	.	PROPN
iogr-1312	162	28	4	4	NUM
iogr-1312	162	29	.	.	NUM
iogr-1312	162	30	extracted	extract	VERB
iogr-1312	162	31	weight	weight	NOUN
iogr-1312	162	32	matrix	matrix	NOUN
iogr-1312	162	33	(	(	PUNCT
iogr-1312	162	34	iw1	iw1	NOUN
iogr-1312	162	35	)	)	PUNCT
iogr-1312	162	36	bias	bias	NOUN
iogr-1312	162	37	vector	vector	NOUN
iogr-1312	162	38	(	(	PUNCT
iogr-1312	162	39	b1	b1	NOUN
iogr-1312	162	40	)	)	PUNCT
iogr-1312	162	41	0.7447	0.7447	NUM
iogr-1312	162	42	-0.9934	-0.9934	X
iogr-1312	162	43	2.7596	2.7596	NUM
iogr-1312	162	44	-2.0319	-2.0319	NOUN
iogr-1312	162	45	0.2320	0.2320	NUM
iogr-1312	162	46	0.3227	0.3227	NUM
iogr-1312	162	47	0.7401	0.7401	NUM
iogr-1312	162	48	-0.8480	-0.8480	NOUN
iogr-1312	162	49	-0.1124	-0.1124	PROPN
iogr-1312	162	50	-0.2926	-0.2926	PROPN
iogr-1312	162	51	0.0548	0.0548	NUM
iogr-1312	162	52	0.4594	0.4594	NUM
iogr-1312	162	53	-0.5512	-0.5512	NOUN
iogr-1312	162	54	3.7046	3.7046	NUM
iogr-1312	162	55	-6.9747	-6.9747	NOUN
iogr-1312	162	56	-10.0962	-10.0962	PUNCT
iogr-1312	162	57	-0.6787	-0.6787	NOUN
iogr-1312	162	58	2.3096	2.3096	NUM
iogr-1312	162	59	1.5510	1.5510	NUM
iogr-1312	162	60	-0.7071	-0.7071	NOUN
iogr-1312	162	61	0.6146	0.6146	NUM
iogr-1312	162	62	-3.1447	-3.1447	NOUN
iogr-1312	162	63	-0.3321	-0.3321	PROPN
iogr-1312	163	1	2.3459	2.3459	NUM
iogr-1312	163	2	-0.1447	-0.1447	NOUN
iogr-1312	163	3	-0.5907	-0.5907	VERB
iogr-1312	164	1	1.1009	1.1009	NUM
iogr-1312	164	2	1.2524	1.2524	NUM
iogr-1312	164	3	0.5512	0.5512	NUM
iogr-1312	164	4	-3.9675	-3.9675	NOUN
iogr-1312	164	5	10.4580	10.4580	NUM
iogr-1312	164	6	13.5564	13.5564	NUM
iogr-1312	164	7	0.0538	0.0538	NUM
iogr-1312	164	8	0.2011	0.2011	NUM
iogr-1312	164	9	-0.7062	-0.7062	NOUN
iogr-1312	164	10	0.1829	0.1829	NUM
iogr-1312	164	11	-0.6129	-0.6129	NUM
iogr-1312	164	12	3.5097	3.5097	NUM
iogr-1312	164	13	-2.2764	-2.2764	NOUN
iogr-1312	164	14	-5.0852	-5.0852	NOUN
iogr-1312	164	15	these	these	DET
iogr-1312	164	16	equations	equation	NOUN
iogr-1312	164	17	encapsulate	encapsulate	VERB
iogr-1312	164	18	the	the	DET
iogr-1312	164	19	weights	weight	NOUN
iogr-1312	164	20	,	,	PUNCT
iogr-1312	164	21	biases	bias	NOUN
iogr-1312	164	22	,	,	PUNCT
iogr-1312	164	23	and	and	CCONJ
iogr-1312	164	24	activation	activation	NOUN
iogr-1312	164	25	functions	function	NOUN
iogr-1312	164	26	used	use	VERB
iogr-1312	164	27	in	in	ADP
iogr-1312	164	28	the	the	DET
iogr-1312	164	29	model	model	NOUN
iogr-1312	164	30	,	,	PUNCT
iogr-1312	164	31	providing	provide	VERB
iogr-1312	164	32	a	a	DET
iogr-1312	164	33	detailed	detailed	ADJ
iogr-1312	164	34	mathematical	mathematical	ADJ
iogr-1312	164	35	framework	framework	NOUN
iogr-1312	164	36	for	for	ADP
iogr-1312	164	37	understanding	understand	VERB
iogr-1312	164	38	the	the	DET
iogr-1312	164	39	ann	ann	PROPN
iogr-1312	164	40	’s	’s	PART
iogr-1312	164	41	operation	operation	NOUN
iogr-1312	164	42	.	.	PUNCT
iogr-1312	165	1	the	the	DET
iogr-1312	165	2	ann	ann	PROPN
iogr-1312	165	3	model	model	NOUN
iogr-1312	165	4	equation	equation	NOUN
iogr-1312	165	5	(	(	PUNCT
iogr-1312	165	6	eq	eq	NOUN
iogr-1312	165	7	.	.	NOUN
iogr-1312	165	8	4	4	NUM
iogr-1312	165	9	)	)	PUNCT
iogr-1312	165	10	is	be	AUX
iogr-1312	165	11	more	more	ADV
iogr-1312	165	12	complex	complex	ADJ
iogr-1312	165	13	than	than	ADP
iogr-1312	165	14	the	the	DET
iogr-1312	165	15	linear	linear	ADJ
iogr-1312	165	16	regression	regression	NOUN
iogr-1312	165	17	model	model	NOUN
iogr-1312	165	18	equation	equation	NOUN
iogr-1312	165	19	(	(	PUNCT
iogr-1312	165	20	eq	eq	NOUN
iogr-1312	165	21	.	.	PROPN
iogr-1312	165	22	1	1	NUM
iogr-1312	165	23	)	)	PUNCT
iogr-1312	165	24	,	,	PUNCT
iogr-1312	165	25	reflecting	reflect	VERB
iogr-1312	165	26	the	the	DET
iogr-1312	165	27	higher	high	ADJ
iogr-1312	165	28	complexity	complexity	NOUN
iogr-1312	165	29	and	and	CCONJ
iogr-1312	165	30	flexibility	flexibility	NOUN
iogr-1312	165	31	of	of	ADP
iogr-1312	165	32	anns	ann	NOUN
iogr-1312	165	33	.	.	PUNCT
iogr-1312	166	1	this	this	DET
iogr-1312	166	2	complexity	complexity	NOUN
iogr-1312	166	3	allows	allow	VERB
iogr-1312	166	4	the	the	DET
iogr-1312	166	5	ann	ann	PROPN
iogr-1312	166	6	to	to	PART
iogr-1312	166	7	achieve	achieve	VERB
iogr-1312	166	8	higher	high	ADJ
iogr-1312	166	9	accuracy	accuracy	NOUN
iogr-1312	166	10	,	,	PUNCT
iogr-1312	166	11	especially	especially	ADV
iogr-1312	166	12	in	in	ADP
iogr-1312	166	13	cases	case	NOUN
iogr-1312	166	14	where	where	SCONJ
iogr-1312	166	15	the	the	DET
iogr-1312	166	16	relationships	relationship	NOUN
iogr-1312	166	17	between	between	ADP
iogr-1312	166	18	variables	variable	NOUN
iogr-1312	166	19	are	be	AUX
iogr-1312	166	20	not	not	PART
iogr-1312	166	21	purely	purely	ADV
iogr-1312	166	22	linear	linear	ADJ
iogr-1312	166	23	.	.	PUNCT
iogr-1312	167	1	model	model	NOUN
iogr-1312	167	2	validation	validation	NOUN
iogr-1312	167	3	and	and	CCONJ
iogr-1312	167	4	performance	performance	NOUN
iogr-1312	167	5	analysis	analysis	NOUN
iogr-1312	167	6	.	.	PUNCT
iogr-1312	168	1	the	the	DET
iogr-1312	168	2	performance	performance	NOUN
iogr-1312	168	3	of	of	ADP
iogr-1312	168	4	the	the	DET
iogr-1312	168	5	ann	ann	PROPN
iogr-1312	168	6	model	model	NOUN
iogr-1312	168	7	is	be	AUX
iogr-1312	168	8	further	far	ADV
iogr-1312	168	9	validated	validate	VERB
iogr-1312	168	10	through	through	ADP
iogr-1312	168	11	cross	cros	NOUN
iogr-1312	168	12	-	-	NOUN
iogr-1312	168	13	plots	plot	NOUN
iogr-1312	168	14	of	of	ADP
iogr-1312	168	15	measured	measure	VERB
iogr-1312	168	16	versus	versus	ADP
iogr-1312	168	17	predicted	predict	VERB
iogr-1312	168	18	permeability	permeability	NOUN
iogr-1312	168	19	values	value	NOUN
iogr-1312	168	20	for	for	ADP
iogr-1312	168	21	the	the	DET
iogr-1312	168	22	training	training	NOUN
iogr-1312	168	23	,	,	PUNCT
iogr-1312	168	24	validation	validation	NOUN
iogr-1312	168	25	,	,	PUNCT
iogr-1312	168	26	and	and	CCONJ
iogr-1312	168	27	testing	testing	NOUN
iogr-1312	168	28	datasets	dataset	NOUN
iogr-1312	168	29	are	be	AUX
iogr-1312	168	30	presented	present	VERB
iogr-1312	168	31	in	in	ADP
iogr-1312	168	32	figures	figure	NOUN
iogr-1312	168	33	6	6	NUM
iogr-1312	168	34	through	through	ADP
iogr-1312	168	35	8	8	NUM
iogr-1312	168	36	.	.	PUNCT
iogr-1312	169	1	the	the	DET
iogr-1312	169	2	alignment	alignment	NOUN
iogr-1312	169	3	of	of	ADP
iogr-1312	169	4	data	datum	NOUN
iogr-1312	169	5	points	point	NOUN
iogr-1312	169	6	along	along	ADP
iogr-1312	169	7	the	the	DET
iogr-1312	169	8	unit	unit	NOUN
iogr-1312	169	9	slope	slope	NOUN
iogr-1312	169	10	line	line	NOUN
iogr-1312	169	11	in	in	ADP
iogr-1312	169	12	figure	figure	NOUN
iogr-1312	169	13	6	6	NUM
iogr-1312	169	14	indicates	indicate	VERB
iogr-1312	169	15	that	that	SCONJ
iogr-1312	169	16	the	the	DET
iogr-1312	169	17	ann	ann	PROPN
iogr-1312	169	18	has	have	AUX
iogr-1312	169	19	effectively	effectively	ADV
iogr-1312	169	20	learned	learn	VERB
iogr-1312	169	21	the	the	DET
iogr-1312	169	22	patterns	pattern	NOUN
iogr-1312	169	23	in	in	ADP
iogr-1312	169	24	the	the	DET
iogr-1312	169	25	training	training	NOUN
iogr-1312	169	26	data	datum	NOUN
iogr-1312	169	27	,	,	PUNCT
iogr-1312	169	28	resulting	result	VERB
iogr-1312	169	29	in	in	ADP
iogr-1312	169	30	highly	highly	ADV
iogr-1312	169	31	accurate	accurate	ADJ
iogr-1312	169	32	predictions	prediction	NOUN
iogr-1312	169	33	.	.	PUNCT
iogr-1312	170	1	the	the	DET
iogr-1312	170	2	strong	strong	ADJ
iogr-1312	170	3	correlations	correlation	NOUN
iogr-1312	170	4	between	between	ADP
iogr-1312	170	5	predicted	predict	VERB
iogr-1312	170	6	and	and	CCONJ
iogr-1312	170	7	actual	actual	ADJ
iogr-1312	170	8	values	value	NOUN
iogr-1312	170	9	in	in	ADP
iogr-1312	170	10	figures	figure	NOUN
iogr-1312	170	11	7	7	NUM
iogr-1312	170	12	and	and	CCONJ
iogr-1312	170	13	8	8	NUM
iogr-1312	170	14	confirm	confirm	VERB
iogr-1312	170	15	that	that	SCONJ
iogr-1312	170	16	the	the	DET
iogr-1312	170	17	model	model	NOUN
iogr-1312	170	18	generalizes	generalize	VERB
iogr-1312	170	19	well	well	ADV
iogr-1312	170	20	to	to	ADP
iogr-1312	170	21	new	new	ADJ
iogr-1312	170	22	data	datum	NOUN
iogr-1312	170	23	,	,	PUNCT
iogr-1312	170	24	maintaining	maintain	VERB
iogr-1312	170	25	high	high	ADJ
iogr-1312	170	26	accuracy	accuracy	NOUN
iogr-1312	170	27	across	across	ADP
iogr-1312	170	28	different	different	ADJ
iogr-1312	170	29	datasets	dataset	NOUN
iogr-1312	170	30	,	,	PUNCT
iogr-1312	170	31	confirming	confirm	VERB
iogr-1312	170	32	the	the	DET
iogr-1312	170	33	model	model	NOUN
iogr-1312	170	34	's	's	PART
iogr-1312	170	35	accuracy	accuracy	NOUN
iogr-1312	170	36	.	.	PUNCT
iogr-1312	171	1	figure	figure	NOUN
iogr-1312	171	2	6	6	NUM
iogr-1312	171	3	—	—	PUNCT
iogr-1312	171	4	measured	measure	VERB
iogr-1312	171	5	and	and	CCONJ
iogr-1312	171	6	predicted	predict	VERB
iogr-1312	171	7	permeability	permeability	NOUN
iogr-1312	171	8	cross	cross	NOUN
iogr-1312	171	9	-	-	NOUN
iogr-1312	171	10	plots	plot	NOUN
iogr-1312	171	11	based	base	VERB
iogr-1312	171	12	on	on	ADP
iogr-1312	171	13	the	the	DET
iogr-1312	171	14	training	training	NOUN
iogr-1312	171	15	dataset	dataset	NOUN
iogr-1312	171	16	(	(	PUNCT
iogr-1312	171	17	6117	6117	NUM
iogr-1312	171	18	data	data	NOUN
iogr-1312	171	19	points	point	NOUN
iogr-1312	171	20	)	)	PUNCT
iogr-1312	171	21	.	.	PUNCT
iogr-1312	172	1	r²	r²	NOUN
iogr-1312	172	2	=	=	PUNCT
iogr-1312	172	3	0.9999	0.9999	NUM
iogr-1312	172	4	0	0	NUM
iogr-1312	172	5	200	200	NUM
iogr-1312	172	6	400	400	NUM
iogr-1312	172	7	600	600	NUM
iogr-1312	172	8	800	800	NUM
iogr-1312	172	9	1000	1000	NUM
iogr-1312	172	10	0	0	NUM
iogr-1312	172	11	100	100	NUM
iogr-1312	172	12	200	200	NUM
iogr-1312	172	13	300	300	NUM
iogr-1312	172	14	400	400	NUM
iogr-1312	172	15	500	500	NUM
iogr-1312	172	16	600	600	NUM
iogr-1312	172	17	700	700	NUM
iogr-1312	172	18	800	800	NUM
iogr-1312	172	19	900	900	NUM
iogr-1312	172	20	p	p	NOUN
iogr-1312	172	21	re	re	ADP
iogr-1312	172	22	d	d	NOUN
iogr-1312	172	23	ic	ic	X
iogr-1312	172	24	te	te	PROPN
iogr-1312	173	1	d	d	X
iogr-1312	173	2	p	p	X
iogr-1312	174	1	er	er	INTJ
iogr-1312	174	2	m	m	NOUN
iogr-1312	174	3	ea	ea	PROPN
iogr-1312	174	4	b	b	X
iogr-1312	174	5	il	il	PROPN
iogr-1312	174	6	it	it	PRON
iogr-1312	174	7	y	y	INTJ
iogr-1312	174	8	,	,	PUNCT
iogr-1312	174	9	m	m	VERB
iogr-1312	174	10	d	d	ADP
iogr-1312	174	11	measured	measured	ADJ
iogr-1312	174	12	permeability	permeability	NOUN
iogr-1312	174	13	,	,	PUNCT
iogr-1312	174	14	md	md	PROPN
iogr-1312	174	15	unit	unit	NOUN
iogr-1312	174	16	slope	slope	VERB
iogr-1312	174	17	10	10	NUM
iogr-1312	174	18	%	%	NOUN
iogr-1312	174	19	-10	-10	NUM
iogr-1312	175	1	%	%	NOUN
iogr-1312	175	2	training	training	NOUN
iogr-1312	175	3	dataset	dataset	NOUN
iogr-1312	175	4	improved	improve	VERB
iogr-1312	175	5	oil	oil	NOUN
iogr-1312	175	6	and	and	CCONJ
iogr-1312	175	7	gas	gas	NOUN
iogr-1312	175	8	recovery	recovery	NOUN
iogr-1312	175	9	10	10	NUM
iogr-1312	175	10	figure	figure	NOUN
iogr-1312	175	11	7	7	NUM
iogr-1312	175	12	—	—	PUNCT
iogr-1312	175	13	measured	measured	ADJ
iogr-1312	175	14	and	and	CCONJ
iogr-1312	175	15	predicted	predict	VERB
iogr-1312	175	16	permeability	permeability	NOUN
iogr-1312	175	17	cross	cross	NOUN
iogr-1312	175	18	-	-	NOUN
iogr-1312	175	19	plots	plot	NOUN
iogr-1312	175	20	based	base	VERB
iogr-1312	175	21	on	on	ADP
iogr-1312	175	22	the	the	DET
iogr-1312	175	23	validation	validation	NOUN
iogr-1312	175	24	dataset	dataset	NOUN
iogr-1312	175	25	(	(	PUNCT
iogr-1312	175	26	1311	1311	NUM
iogr-1312	175	27	data	datum	NOUN
iogr-1312	175	28	points	point	NOUN
iogr-1312	175	29	)	)	PUNCT
iogr-1312	175	30	.	.	PUNCT
iogr-1312	176	1	figure	figure	NOUN
iogr-1312	176	2	8	8	NUM
iogr-1312	176	3	—	—	PUNCT
iogr-1312	176	4	measured	measure	VERB
iogr-1312	176	5	and	and	CCONJ
iogr-1312	176	6	predicted	predict	VERB
iogr-1312	176	7	permeability	permeability	NOUN
iogr-1312	176	8	cross	cross	NOUN
iogr-1312	176	9	-	-	NOUN
iogr-1312	176	10	plots	plot	NOUN
iogr-1312	176	11	based	base	VERB
iogr-1312	176	12	on	on	ADP
iogr-1312	176	13	the	the	DET
iogr-1312	176	14	testing	testing	NOUN
iogr-1312	176	15	dataset	dataset	NOUN
iogr-1312	176	16	(	(	PUNCT
iogr-1312	176	17	1311	1311	NUM
iogr-1312	176	18	data	datum	NOUN
iogr-1312	176	19	points	point	NOUN
iogr-1312	176	20	)	)	PUNCT
iogr-1312	176	21	.	.	PUNCT
iogr-1312	177	1	figure	figure	NOUN
iogr-1312	177	2	9	9	NUM
iogr-1312	177	3	—	—	PUNCT
iogr-1312	177	4	measured	measure	VERB
iogr-1312	177	5	and	and	CCONJ
iogr-1312	177	6	predicted	predict	VERB
iogr-1312	177	7	permeability	permeability	NOUN
iogr-1312	177	8	cross	cross	NOUN
iogr-1312	177	9	-	-	NOUN
iogr-1312	177	10	plots	plot	NOUN
iogr-1312	177	11	based	base	VERB
iogr-1312	177	12	on	on	ADP
iogr-1312	177	13	the	the	DET
iogr-1312	177	14	entire	entire	ADJ
iogr-1312	177	15	dataset	dataset	NOUN
iogr-1312	177	16	(	(	PUNCT
iogr-1312	177	17	8739	8739	NUM
iogr-1312	177	18	data	datum	NOUN
iogr-1312	177	19	points	point	NOUN
iogr-1312	177	20	)	)	PUNCT
iogr-1312	177	21	.	.	PUNCT
iogr-1312	178	1	r²	r²	NOUN
iogr-1312	178	2	=	=	PUNCT
iogr-1312	179	1	0.9998	0.9998	NUM
iogr-1312	179	2	0	0	NUM
iogr-1312	180	1	200	200	NUM
iogr-1312	180	2	400	400	NUM
iogr-1312	180	3	600	600	NUM
iogr-1312	180	4	800	800	NUM
iogr-1312	180	5	1000	1000	NUM
iogr-1312	180	6	0	0	NUM
iogr-1312	180	7	200	200	NUM
iogr-1312	180	8	400	400	NUM
iogr-1312	180	9	600	600	NUM
iogr-1312	180	10	800	800	NUM
iogr-1312	180	11	1000	1000	NUM
iogr-1312	180	12	p	p	NOUN
iogr-1312	180	13	re	re	ADP
iogr-1312	180	14	d	d	NOUN
iogr-1312	180	15	ic	ic	X
iogr-1312	180	16	te	te	PROPN
iogr-1312	180	17	d	d	X
iogr-1312	180	18	p	p	X
iogr-1312	180	19	er	er	INTJ
iogr-1312	180	20	m	m	NOUN
iogr-1312	180	21	ea	ea	PROPN
iogr-1312	180	22	b	b	X
iogr-1312	180	23	il	il	PROPN
iogr-1312	180	24	it	it	PRON
iogr-1312	180	25	y	y	INTJ
iogr-1312	180	26	,	,	PUNCT
iogr-1312	180	27	m	m	VERB
iogr-1312	180	28	d	d	ADP
iogr-1312	180	29	measured	measured	ADJ
iogr-1312	180	30	permeability	permeability	NOUN
iogr-1312	180	31	,	,	PUNCT
iogr-1312	180	32	md	md	PROPN
iogr-1312	180	33	unit	unit	NOUN
iogr-1312	180	34	slope	slope	VERB
iogr-1312	180	35	10	10	NUM
iogr-1312	180	36	%	%	NOUN
iogr-1312	180	37	-10	-10	NUM
iogr-1312	180	38	%	%	NOUN
iogr-1312	180	39	validation	validation	NOUN
iogr-1312	180	40	dataset	dataset	NOUN
iogr-1312	180	41	r²	r²	NOUN
iogr-1312	180	42	=	=	PUNCT
iogr-1312	180	43	0.9992	0.9992	NUM
iogr-1312	180	44	0	0	NUM
iogr-1312	181	1	200	200	NUM
iogr-1312	181	2	400	400	NUM
iogr-1312	181	3	600	600	NUM
iogr-1312	181	4	800	800	NUM
iogr-1312	181	5	1000	1000	NUM
iogr-1312	181	6	0	0	NUM
iogr-1312	181	7	200	200	NUM
iogr-1312	181	8	400	400	NUM
iogr-1312	181	9	600	600	NUM
iogr-1312	181	10	800	800	NUM
iogr-1312	181	11	1000	1000	NUM
iogr-1312	181	12	p	p	NOUN
iogr-1312	181	13	re	re	ADP
iogr-1312	181	14	d	d	NOUN
iogr-1312	181	15	ic	ic	X
iogr-1312	181	16	te	te	PROPN
iogr-1312	182	1	d	d	X
iogr-1312	182	2	p	p	X
iogr-1312	183	1	er	er	INTJ
iogr-1312	183	2	m	m	NOUN
iogr-1312	183	3	ea	ea	PROPN
iogr-1312	183	4	b	b	X
iogr-1312	183	5	il	il	PROPN
iogr-1312	183	6	it	it	PRON
iogr-1312	183	7	y	y	INTJ
iogr-1312	183	8	,	,	PUNCT
iogr-1312	183	9	m	m	VERB
iogr-1312	183	10	d	d	ADP
iogr-1312	183	11	measured	measured	ADJ
iogr-1312	183	12	permeability	permeability	NOUN
iogr-1312	183	13	,	,	PUNCT
iogr-1312	183	14	md	md	PROPN
iogr-1312	183	15	unit	unit	NOUN
iogr-1312	183	16	slope	slope	VERB
iogr-1312	183	17	10	10	NUM
iogr-1312	183	18	%	%	NOUN
iogr-1312	183	19	-10	-10	NUM
iogr-1312	183	20	%	%	NOUN
iogr-1312	183	21	testing	testing	NOUN
iogr-1312	183	22	dataset	dataset	VERB
iogr-1312	183	23	r²	r²	NOUN
iogr-1312	183	24	=	=	PUNCT
iogr-1312	184	1	0.9996	0.9996	NUM
iogr-1312	184	2	0	0	NUM
iogr-1312	185	1	200	200	NUM
iogr-1312	185	2	400	400	NUM
iogr-1312	185	3	600	600	NUM
iogr-1312	185	4	800	800	NUM
iogr-1312	185	5	1000	1000	NUM
iogr-1312	185	6	0	0	NUM
iogr-1312	185	7	100	100	NUM
iogr-1312	185	8	200	200	NUM
iogr-1312	185	9	300	300	NUM
iogr-1312	185	10	400	400	NUM
iogr-1312	185	11	500	500	NUM
iogr-1312	185	12	600	600	NUM
iogr-1312	185	13	700	700	NUM
iogr-1312	185	14	800	800	NUM
iogr-1312	185	15	900	900	NUM
iogr-1312	185	16	p	p	NOUN
iogr-1312	185	17	re	re	ADP
iogr-1312	185	18	d	d	NOUN
iogr-1312	185	19	ic	ic	X
iogr-1312	185	20	te	te	PROPN
iogr-1312	185	21	d	d	X
iogr-1312	185	22	p	p	X
iogr-1312	186	1	er	er	INTJ
iogr-1312	186	2	m	m	NOUN
iogr-1312	186	3	ea	ea	PROPN
iogr-1312	186	4	b	b	X
iogr-1312	186	5	il	il	PROPN
iogr-1312	186	6	it	it	PRON
iogr-1312	186	7	y	y	INTJ
iogr-1312	186	8	,	,	PUNCT
iogr-1312	186	9	m	m	VERB
iogr-1312	186	10	d	d	ADP
iogr-1312	186	11	measured	measured	ADJ
iogr-1312	186	12	permeability	permeability	NOUN
iogr-1312	186	13	,	,	PUNCT
iogr-1312	186	14	md	md	PROPN
iogr-1312	186	15	unit	unit	NOUN
iogr-1312	186	16	slope	slope	VERB
iogr-1312	186	17	10	10	NUM
iogr-1312	186	18	%	%	NOUN
iogr-1312	186	19	-10	-10	NUM
iogr-1312	186	20	%	%	NOUN
iogr-1312	186	21	entire	entire	ADJ
iogr-1312	186	22	dataset	dataset	NOUN
iogr-1312	186	23	improved	improve	VERB
iogr-1312	186	24	oil	oil	NOUN
iogr-1312	186	25	and	and	CCONJ
iogr-1312	186	26	gas	gas	NOUN
iogr-1312	186	27	recovery	recovery	NOUN
iogr-1312	186	28	11	11	NUM
iogr-1312	186	29	the	the	DET
iogr-1312	186	30	cross	cross	NOUN
iogr-1312	186	31	-	-	NOUN
iogr-1312	186	32	plot	plot	NOUN
iogr-1312	186	33	based	base	VERB
iogr-1312	186	34	on	on	ADP
iogr-1312	186	35	the	the	DET
iogr-1312	186	36	entire	entire	ADJ
iogr-1312	186	37	dataset	dataset	NOUN
iogr-1312	186	38	(	(	PUNCT
iogr-1312	186	39	8,739	8,739	NUM
iogr-1312	186	40	data	datum	NOUN
iogr-1312	186	41	points	point	NOUN
iogr-1312	186	42	)	)	PUNCT
iogr-1312	186	43	in	in	ADP
iogr-1312	186	44	figure	figure	NOUN
iogr-1312	186	45	9	9	NUM
iogr-1312	186	46	further	far	ADV
iogr-1312	186	47	demonstrates	demonstrate	VERB
iogr-1312	186	48	the	the	DET
iogr-1312	186	49	robustness	robustness	NOUN
iogr-1312	186	50	of	of	ADP
iogr-1312	186	51	the	the	DET
iogr-1312	186	52	ann	ann	PROPN
iogr-1312	186	53	model	model	NOUN
iogr-1312	186	54	in	in	ADP
iogr-1312	186	55	predicting	predict	VERB
iogr-1312	186	56	permeability	permeability	NOUN
iogr-1312	186	57	across	across	ADP
iogr-1312	186	58	diverse	diverse	ADJ
iogr-1312	186	59	datasets	dataset	NOUN
iogr-1312	186	60	.	.	PUNCT
iogr-1312	187	1	the	the	DET
iogr-1312	187	2	high	high	ADJ
iogr-1312	187	3	density	density	NOUN
iogr-1312	187	4	of	of	ADP
iogr-1312	187	5	data	datum	NOUN
iogr-1312	187	6	points	point	NOUN
iogr-1312	187	7	along	along	ADP
iogr-1312	187	8	the	the	DET
iogr-1312	187	9	unit	unit	NOUN
iogr-1312	187	10	slope	slope	NOUN
iogr-1312	187	11	line	line	NOUN
iogr-1312	187	12	across	across	ADP
iogr-1312	187	13	such	such	DET
iogr-1312	187	14	a	a	DET
iogr-1312	187	15	large	large	ADJ
iogr-1312	187	16	dataset	dataset	NOUN
iogr-1312	187	17	is	be	AUX
iogr-1312	187	18	a	a	DET
iogr-1312	187	19	evidence	evidence	NOUN
iogr-1312	187	20	of	of	ADP
iogr-1312	187	21	the	the	DET
iogr-1312	187	22	model	model	NOUN
iogr-1312	187	23	's	's	PART
iogr-1312	187	24	reliability	reliability	NOUN
iogr-1312	187	25	and	and	CCONJ
iogr-1312	187	26	effectiveness	effectiveness	NOUN
iogr-1312	187	27	in	in	ADP
iogr-1312	187	28	real	real	ADJ
iogr-1312	187	29	-	-	PUNCT
iogr-1312	187	30	world	world	NOUN
iogr-1312	187	31	applications	application	NOUN
iogr-1312	187	32	.	.	PUNCT
iogr-1312	188	1	the	the	DET
iogr-1312	188	2	comparison	comparison	NOUN
iogr-1312	188	3	across	across	ADP
iogr-1312	188	4	the	the	DET
iogr-1312	188	5	three	three	NUM
iogr-1312	188	6	studies	study	NOUN
iogr-1312	188	7	highlights	highlight	NOUN
iogr-1312	188	8	differences	difference	NOUN
iogr-1312	188	9	in	in	ADP
iogr-1312	188	10	modeling	modeling	NOUN
iogr-1312	188	11	approaches	approach	NOUN
iogr-1312	188	12	,	,	PUNCT
iogr-1312	188	13	model	model	NOUN
iogr-1312	188	14	types	type	NOUN
iogr-1312	188	15	,	,	PUNCT
iogr-1312	188	16	and	and	CCONJ
iogr-1312	188	17	performance	performance	NOUN
iogr-1312	188	18	(	(	PUNCT
iogr-1312	188	19	table	table	NOUN
iogr-1312	188	20	8)	8)	NUM
iogr-1312	188	21	.	.	PUNCT
iogr-1312	188	22	leiphart	leiphart	NOUN
iogr-1312	188	23	and	and	CCONJ
iogr-1312	188	24	hart	hart	PROPN
iogr-1312	188	25	(	(	PUNCT
iogr-1312	188	26	2001	2001	NUM
iogr-1312	188	27	)	)	PUNCT
iogr-1312	188	28	utilized	utilize	VERB
iogr-1312	188	29	a	a	DET
iogr-1312	188	30	combination	combination	NOUN
iogr-1312	188	31	of	of	ADP
iogr-1312	188	32	linear	linear	ADJ
iogr-1312	188	33	regression	regression	NOUN
iogr-1312	188	34	and	and	CCONJ
iogr-1312	188	35	probabilistic	probabilistic	ADJ
iogr-1312	188	36	neural	neural	ADJ
iogr-1312	188	37	network	network	NOUN
iogr-1312	188	38	(	(	PUNCT
iogr-1312	188	39	pnn	pnn	PROPN
iogr-1312	188	40	)	)	PUNCT
iogr-1312	188	41	,	,	PUNCT
iogr-1312	188	42	with	with	ADP
iogr-1312	188	43	pnn	pnn	PROPN
iogr-1312	188	44	achieving	achieve	VERB
iogr-1312	188	45	the	the	DET
iogr-1312	188	46	best	good	ADJ
iogr-1312	188	47	performance	performance	NOUN
iogr-1312	188	48	with	with	ADP
iogr-1312	188	49	an	an	DET
iogr-1312	188	50	r²	r²	NOUN
iogr-1312	188	51	value	value	NOUN
iogr-1312	188	52	of	of	ADP
iogr-1312	188	53	0.82	0.82	NUM
iogr-1312	188	54	.	.	PUNCT
iogr-1312	189	1	this	this	DET
iogr-1312	189	2	model	model	NOUN
iogr-1312	189	3	demonstrated	demonstrate	VERB
iogr-1312	189	4	better	well	ADJ
iogr-1312	189	5	geological	geological	ADJ
iogr-1312	189	6	realism	realism	NOUN
iogr-1312	189	7	in	in	ADP
iogr-1312	189	8	predicting	predict	VERB
iogr-1312	189	9	porosity	porosity	NOUN
iogr-1312	189	10	distribution	distribution	NOUN
iogr-1312	189	11	,	,	PUNCT
iogr-1312	189	12	effectively	effectively	ADV
iogr-1312	189	13	capturing	capture	VERB
iogr-1312	189	14	non	non	ADJ
iogr-1312	189	15	-	-	ADJ
iogr-1312	189	16	linear	linear	ADJ
iogr-1312	189	17	relationships	relationship	NOUN
iogr-1312	189	18	between	between	ADP
iogr-1312	189	19	seismic	seismic	ADJ
iogr-1312	189	20	attributes	attribute	NOUN
iogr-1312	189	21	and	and	CCONJ
iogr-1312	189	22	porosity	porosity	NOUN
iogr-1312	189	23	.	.	PUNCT
iogr-1312	190	1	in	in	ADP
iogr-1312	190	2	contrast	contrast	NOUN
iogr-1312	190	3	,	,	PUNCT
iogr-1312	190	4	azim	azim	PROPN
iogr-1312	190	5	and	and	CCONJ
iogr-1312	190	6	aljehani	aljehani	PROPN
iogr-1312	190	7	(	(	PUNCT
iogr-1312	190	8	2022	2022	NUM
iogr-1312	190	9	)	)	PUNCT
iogr-1312	190	10	employed	employ	VERB
iogr-1312	190	11	an	an	DET
iogr-1312	190	12	artificial	artificial	ADJ
iogr-1312	190	13	neural	neural	ADJ
iogr-1312	190	14	network	network	NOUN
iogr-1312	190	15	(	(	PUNCT
iogr-1312	190	16	ann	ann	PROPN
iogr-1312	190	17	)	)	PUNCT
iogr-1312	190	18	using	use	VERB
iogr-1312	190	19	the	the	DET
iogr-1312	190	20	back	back	ADJ
iogr-1312	190	21	-	-	PUNCT
iogr-1312	190	22	propagation	propagation	NOUN
iogr-1312	190	23	learning	learn	VERB
iogr-1312	190	24	algorithm	algorithm	NOUN
iogr-1312	190	25	implemented	implement	VERB
iogr-1312	190	26	in	in	ADP
iogr-1312	190	27	fortran	fortran	NOUN
iogr-1312	190	28	.	.	PUNCT
iogr-1312	191	1	their	their	PRON
iogr-1312	191	2	ann	ann	PROPN
iogr-1312	191	3	model	model	NOUN
iogr-1312	191	4	achieved	achieve	VERB
iogr-1312	191	5	an	an	DET
iogr-1312	191	6	r²	r²	NOUN
iogr-1312	191	7	value	value	NOUN
iogr-1312	191	8	of	of	ADP
iogr-1312	191	9	0.94	0.94	NUM
iogr-1312	191	10	and	and	CCONJ
iogr-1312	191	11	was	be	AUX
iogr-1312	191	12	particularly	particularly	ADV
iogr-1312	191	13	robust	robust	ADJ
iogr-1312	191	14	in	in	ADP
iogr-1312	191	15	predicting	predict	VERB
iogr-1312	191	16	rock	rock	NOUN
iogr-1312	191	17	permeability	permeability	NOUN
iogr-1312	191	18	with	with	ADP
iogr-1312	191	19	minimal	minimal	ADJ
iogr-1312	191	20	wireline	wireline	NOUN
iogr-1312	191	21	log	log	NOUN
iogr-1312	191	22	data	datum	NOUN
iogr-1312	191	23	.	.	PUNCT
iogr-1312	192	1	in	in	ADP
iogr-1312	192	2	this	this	DET
iogr-1312	192	3	study	study	NOUN
iogr-1312	192	4	,	,	PUNCT
iogr-1312	192	5	a	a	DET
iogr-1312	192	6	more	more	ADV
iogr-1312	192	7	diverse	diverse	ADJ
iogr-1312	192	8	set	set	NOUN
iogr-1312	192	9	of	of	ADP
iogr-1312	192	10	models	model	NOUN
iogr-1312	192	11	was	be	AUX
iogr-1312	192	12	explored	explore	VERB
iogr-1312	192	13	,	,	PUNCT
iogr-1312	192	14	including	include	VERB
iogr-1312	192	15	standard	standard	ADJ
iogr-1312	192	16	linear	linear	ADJ
iogr-1312	192	17	regression	regression	NOUN
iogr-1312	192	18	,	,	PUNCT
iogr-1312	192	19	interactions	interaction	NOUN
iogr-1312	192	20	linear	linear	PROPN
iogr-1312	192	21	regression	regression	NOUN
iogr-1312	192	22	,	,	PUNCT
iogr-1312	192	23	and	and	CCONJ
iogr-1312	192	24	ann	ann	PROPN
iogr-1312	192	25	with	with	ADP
iogr-1312	192	26	varying	vary	VERB
iogr-1312	192	27	structures	structure	NOUN
iogr-1312	192	28	.	.	PUNCT
iogr-1312	193	1	the	the	DET
iogr-1312	193	2	best	well	ADV
iogr-1312	193	3	-	-	PUNCT
iogr-1312	193	4	performing	perform	VERB
iogr-1312	193	5	model	model	NOUN
iogr-1312	193	6	was	be	AUX
iogr-1312	193	7	the	the	DET
iogr-1312	193	8	ann	ann	PROPN
iogr-1312	193	9	with	with	ADP
iogr-1312	193	10	10	10	NUM
iogr-1312	193	11	neurons	neuron	NOUN
iogr-1312	193	12	in	in	ADP
iogr-1312	193	13	the	the	DET
iogr-1312	193	14	hidden	hide	VERB
iogr-1312	193	15	layer	layer	NOUN
iogr-1312	193	16	(	(	PUNCT
iogr-1312	193	17	n-10	n-10	NOUN
iogr-1312	193	18	)	)	PUNCT
iogr-1312	193	19	,	,	PUNCT
iogr-1312	193	20	achieving	achieve	VERB
iogr-1312	193	21	an	an	DET
iogr-1312	193	22	exceptional	exceptional	ADJ
iogr-1312	193	23	r²	r²	NOUN
iogr-1312	193	24	value	value	NOUN
iogr-1312	193	25	of	of	ADP
iogr-1312	193	26	0.9996	0.9996	NUM
iogr-1312	193	27	.	.	PUNCT
iogr-1312	194	1	this	this	DET
iogr-1312	194	2	model	model	NOUN
iogr-1312	194	3	provided	provide	VERB
iogr-1312	194	4	superior	superior	ADJ
iogr-1312	194	5	accuracy	accuracy	NOUN
iogr-1312	194	6	in	in	ADP
iogr-1312	194	7	predicting	predict	VERB
iogr-1312	194	8	permeability	permeability	NOUN
iogr-1312	194	9	and	and	CCONJ
iogr-1312	194	10	was	be	AUX
iogr-1312	194	11	highly	highly	ADV
iogr-1312	194	12	effective	effective	ADJ
iogr-1312	194	13	in	in	ADP
iogr-1312	194	14	capturing	capture	VERB
iogr-1312	194	15	complex	complex	ADJ
iogr-1312	194	16	,	,	PUNCT
iogr-1312	194	17	non	non	ADJ
iogr-1312	194	18	-	-	ADJ
iogr-1312	194	19	linear	linear	ADJ
iogr-1312	194	20	relationships	relationship	NOUN
iogr-1312	194	21	in	in	ADP
iogr-1312	194	22	well	well	INTJ
iogr-1312	194	23	log	log	PROPN
iogr-1312	194	24	data	datum	NOUN
iogr-1312	194	25	,	,	PUNCT
iogr-1312	194	26	surpassing	surpass	VERB
iogr-1312	194	27	the	the	DET
iogr-1312	194	28	predictive	predictive	ADJ
iogr-1312	194	29	capabilities	capability	NOUN
iogr-1312	194	30	of	of	ADP
iogr-1312	194	31	the	the	DET
iogr-1312	194	32	models	model	NOUN
iogr-1312	194	33	from	from	ADP
iogr-1312	194	34	the	the	DET
iogr-1312	194	35	other	other	ADJ
iogr-1312	194	36	two	two	NUM
iogr-1312	194	37	studies	study	NOUN
iogr-1312	194	38	.	.	PUNCT
iogr-1312	195	1	table	table	NOUN
iogr-1312	195	2	8	8	NUM
iogr-1312	195	3	—	—	PUNCT
iogr-1312	195	4	comparison	comparison	NOUN
iogr-1312	195	5	of	of	ADP
iogr-1312	195	6	modeling	model	VERB
iogr-1312	195	7	approaches	approach	NOUN
iogr-1312	195	8	across	across	ADP
iogr-1312	195	9	studies	study	NOUN
iogr-1312	195	10	.	.	PUNCT
iogr-1312	196	1	feature	feature	NOUN
iogr-1312	196	2	leiphart	leiphart	NOUN
iogr-1312	196	3	and	and	CCONJ
iogr-1312	196	4	hart	hart	PROPN
iogr-1312	196	5	(	(	PUNCT
iogr-1312	196	6	2001	2001	NUM
iogr-1312	196	7	)	)	PUNCT
iogr-1312	196	8	azim	azim	PROPN
iogr-1312	196	9	and	and	CCONJ
iogr-1312	196	10	aljehani	aljehani	PROPN
iogr-1312	196	11	(	(	PUNCT
iogr-1312	196	12	2022	2022	NUM
iogr-1312	196	13	)	)	PUNCT
iogr-1312	196	14	this	this	DET
iogr-1312	196	15	study	study	NOUN
iogr-1312	196	16	modeling	modeling	NOUN
iogr-1312	196	17	approaches	approach	NOUN
iogr-1312	196	18	linear	linear	VERB
iogr-1312	196	19	regression	regression	NOUN
iogr-1312	196	20	and	and	CCONJ
iogr-1312	196	21	probabilistic	probabilistic	ADJ
iogr-1312	196	22	neural	neural	ADJ
iogr-1312	196	23	network	network	NOUN
iogr-1312	196	24	(	(	PUNCT
iogr-1312	196	25	pnn	pnn	PROPN
iogr-1312	196	26	)	)	PUNCT
iogr-1312	196	27	.	.	PUNCT
iogr-1312	197	1	ann	ann	PROPN
iogr-1312	197	2	model	model	NOUN
iogr-1312	197	3	based	base	VERB
iogr-1312	197	4	on	on	ADP
iogr-1312	197	5	the	the	DET
iogr-1312	197	6	back	back	ADJ
iogr-1312	197	7	propagation	propagation	NOUN
iogr-1312	197	8	learning	learn	VERB
iogr-1312	197	9	algorithm	algorithm	NOUN
iogr-1312	197	10	using	use	VERB
iogr-1312	197	11	the	the	DET
iogr-1312	197	12	fortran	fortran	ADJ
iogr-1312	197	13	language	language	NOUN
iogr-1312	197	14	.	.	PUNCT
iogr-1312	198	1	linear	linear	ADJ
iogr-1312	198	2	regression	regression	NOUN
iogr-1312	198	3	and	and	CCONJ
iogr-1312	198	4	artificial	artificial	ADJ
iogr-1312	198	5	neural	neural	ADJ
iogr-1312	198	6	network	network	NOUN
iogr-1312	198	7	(	(	PUNCT
iogr-1312	198	8	ann	ann	PROPN
iogr-1312	198	9	)	)	PUNCT
iogr-1312	198	10	.	.	PUNCT
iogr-1312	199	1	model	model	NOUN
iogr-1312	199	2	types	type	NOUN
iogr-1312	199	3	standard	standard	ADJ
iogr-1312	199	4	linear	linear	PROPN
iogr-1312	199	5	regression	regression	NOUN
iogr-1312	199	6	,	,	PUNCT
iogr-1312	199	7	probabilistic	probabilistic	ADJ
iogr-1312	199	8	neural	neural	ADJ
iogr-1312	199	9	network	network	NOUN
iogr-1312	199	10	(	(	PUNCT
iogr-1312	199	11	pnn	pnn	PROPN
iogr-1312	199	12	)	)	PUNCT
iogr-1312	199	13	.	.	PUNCT
iogr-1312	200	1	ann	ann	PROPN
iogr-1312	200	2	model	model	PROPN
iogr-1312	200	3	uses	use	VERB
iogr-1312	200	4	a	a	DET
iogr-1312	200	5	weight	weight	NOUN
iogr-1312	200	6	visualization	visualization	NOUN
iogr-1312	200	7	curve	curve	NOUN
iogr-1312	200	8	technique	technique	NOUN
iogr-1312	200	9	.	.	PUNCT
iogr-1312	201	1	standard	standard	ADJ
iogr-1312	201	2	linear	linear	PROPN
iogr-1312	201	3	regression	regression	NOUN
iogr-1312	201	4	,	,	PUNCT
iogr-1312	201	5	interactions	interaction	NOUN
iogr-1312	201	6	linear	linear	PROPN
iogr-1312	201	7	regression	regression	NOUN
iogr-1312	201	8	,	,	PUNCT
iogr-1312	201	9	and	and	CCONJ
iogr-1312	201	10	artificial	artificial	ADJ
iogr-1312	201	11	neural	neural	ADJ
iogr-1312	201	12	network	network	NOUN
iogr-1312	201	13	(	(	PUNCT
iogr-1312	201	14	ann	ann	PROPN
iogr-1312	201	15	)	)	PUNCT
iogr-1312	201	16	with	with	ADP
iogr-1312	201	17	varying	vary	VERB
iogr-1312	201	18	structures	structure	NOUN
iogr-1312	201	19	.	.	PUNCT
iogr-1312	202	1	best	good	ADJ
iogr-1312	202	2	performing	perform	VERB
iogr-1312	202	3	model	model	NOUN
iogr-1312	202	4	probabilistic	probabilistic	ADJ
iogr-1312	202	5	neural	neural	ADJ
iogr-1312	202	6	network	network	NOUN
iogr-1312	202	7	(	(	PUNCT
iogr-1312	202	8	pnn	pnn	PROPN
iogr-1312	202	9	)	)	PUNCT
iogr-1312	202	10	with	with	ADP
iogr-1312	202	11	r²	r²	NOUN
iogr-1312	202	12	=	=	PUNCT
iogr-1312	202	13	0.82	0.82	NUM
iogr-1312	202	14	.	.	PUNCT
iogr-1312	203	1	ann	ann	PROPN
iogr-1312	203	2	with	with	ADP
iogr-1312	203	3	r²	r²	NOUN
iogr-1312	203	4	=	=	SYM
iogr-1312	203	5	0.94	0.94	NUM
iogr-1312	203	6	.	.	PUNCT
iogr-1312	204	1	ann	ann	PROPN
iogr-1312	204	2	with	with	ADP
iogr-1312	204	3	10	10	NUM
iogr-1312	204	4	neurons	neuron	NOUN
iogr-1312	204	5	in	in	ADP
iogr-1312	204	6	the	the	DET
iogr-1312	204	7	hidden	hide	VERB
iogr-1312	204	8	layer	layer	NOUN
iogr-1312	204	9	(	(	PUNCT
iogr-1312	204	10	n-10	n-10	NOUN
iogr-1312	204	11	)	)	PUNCT
iogr-1312	204	12	with	with	ADP
iogr-1312	204	13	r²	r²	NOUN
iogr-1312	204	14	=	=	SYM
iogr-1312	204	15	0.9996	0.9996	NUM
iogr-1312	204	16	.	.	PUNCT
iogr-1312	205	1	performance	performance	NOUN
iogr-1312	205	2	metrics	metric	NOUN
iogr-1312	205	3	linear	linear	VERB
iogr-1312	205	4	regression	regression	NOUN
iogr-1312	205	5	:	:	PUNCT
iogr-1312	205	6	r²	r²	NOUN
iogr-1312	205	7	=	=	SYM
iogr-1312	205	8	0.74	0.74	NUM
iogr-1312	205	9	.	.	PUNCT
iogr-1312	205	10	pnn	pnn	PROPN
iogr-1312	205	11	:	:	PUNCT
iogr-1312	205	12	r²	r²	NOUN
iogr-1312	205	13	=	=	NOUN
iogr-1312	205	14	0.82	0.82	NUM
iogr-1312	205	15	.	.	PUNCT
iogr-1312	206	1	r²	r²	NOUN
iogr-1312	206	2	=	=	SYM
iogr-1312	206	3	0.94	0.94	NUM
iogr-1312	206	4	.	.	PUNCT
iogr-1312	206	5	interactions	interaction	NOUN
iogr-1312	206	6	linear	linear	PROPN
iogr-1312	206	7	regression	regression	NOUN
iogr-1312	206	8	:	:	PUNCT
iogr-1312	206	9	r²	r²	NOUN
iogr-1312	206	10	=	=	PUNCT
iogr-1312	206	11	0.983	0.983	NUM
iogr-1312	206	12	.	.	PUNCT
iogr-1312	207	1	ann	ann	PROPN
iogr-1312	207	2	(	(	PUNCT
iogr-1312	207	3	n-10	n-10	PROPN
iogr-1312	207	4	):	):	PUNCT
iogr-1312	207	5	r²	r²	NOUN
iogr-1312	207	6	=	=	PUNCT
iogr-1312	207	7	0.9996	0.9996	NUM
iogr-1312	207	8	strengths	strength	NOUN
iogr-1312	207	9	of	of	ADP
iogr-1312	207	10	best	good	ADJ
iogr-1312	207	11	model	model	NOUN
iogr-1312	207	12	better	well	ADJ
iogr-1312	207	13	geological	geological	ADJ
iogr-1312	207	14	realism	realism	NOUN
iogr-1312	207	15	in	in	ADP
iogr-1312	207	16	predicted	predict	VERB
iogr-1312	207	17	porosity	porosity	NOUN
iogr-1312	207	18	distribution	distribution	NOUN
iogr-1312	207	19	;	;	PUNCT
iogr-1312	207	20	higher	high	ADJ
iogr-1312	207	21	accuracy	accuracy	NOUN
iogr-1312	207	22	in	in	ADP
iogr-1312	207	23	capturing	capture	VERB
iogr-1312	207	24	nonlinear	nonlinear	ADJ
iogr-1312	207	25	relationships	relationship	NOUN
iogr-1312	207	26	between	between	ADP
iogr-1312	207	27	seismic	seismic	ADJ
iogr-1312	207	28	attributes	attribute	NOUN
iogr-1312	207	29	and	and	CCONJ
iogr-1312	207	30	porosity	porosity	NOUN
iogr-1312	207	31	.	.	PUNCT
iogr-1312	208	1	ann	ann	PROPN
iogr-1312	208	2	model	model	NOUN
iogr-1312	208	3	is	be	AUX
iogr-1312	208	4	robust	robust	ADJ
iogr-1312	208	5	and	and	CCONJ
iogr-1312	208	6	has	have	VERB
iogr-1312	208	7	strong	strong	ADJ
iogr-1312	208	8	capability	capability	NOUN
iogr-1312	208	9	of	of	ADP
iogr-1312	208	10	predicting	predict	VERB
iogr-1312	208	11	rock	rock	NOUN
iogr-1312	208	12	permeability	permeability	NOUN
iogr-1312	208	13	using	use	VERB
iogr-1312	208	14	a	a	DET
iogr-1312	208	15	minimum	minimum	ADJ
iogr-1312	208	16	number	number	NOUN
iogr-1312	208	17	of	of	ADP
iogr-1312	208	18	wireline	wireline	NOUN
iogr-1312	208	19	log	log	NOUN
iogr-1312	208	20	data	datum	NOUN
iogr-1312	208	21	.	.	PUNCT
iogr-1312	209	1	superior	superior	ADJ
iogr-1312	209	2	accuracy	accuracy	NOUN
iogr-1312	209	3	in	in	ADP
iogr-1312	209	4	predicting	predict	VERB
iogr-1312	209	5	permeability	permeability	NOUN
iogr-1312	209	6	;	;	PUNCT
iogr-1312	209	7	effective	effective	ADJ
iogr-1312	209	8	at	at	ADP
iogr-1312	209	9	capturing	capture	VERB
iogr-1312	209	10	complex	complex	ADJ
iogr-1312	209	11	,	,	PUNCT
iogr-1312	209	12	non	non	ADJ
iogr-1312	209	13	-	-	ADJ
iogr-1312	209	14	linear	linear	ADJ
iogr-1312	209	15	relationships	relationship	NOUN
iogr-1312	209	16	in	in	ADP
iogr-1312	209	17	well	well	INTJ
iogr-1312	209	18	log	log	PROPN
iogr-1312	209	19	data	datum	NOUN
iogr-1312	209	20	.	.	PUNCT
iogr-1312	210	1	conclusions	conclusion	NOUN
iogr-1312	210	2	in	in	ADP
iogr-1312	210	3	conclusion	conclusion	NOUN
iogr-1312	210	4	,	,	PUNCT
iogr-1312	210	5	this	this	DET
iogr-1312	210	6	study	study	NOUN
iogr-1312	210	7	demonstrates	demonstrate	VERB
iogr-1312	210	8	the	the	DET
iogr-1312	210	9	effectiveness	effectiveness	NOUN
iogr-1312	210	10	of	of	ADP
iogr-1312	210	11	both	both	PRON
iogr-1312	210	12	linear	linear	ADJ
iogr-1312	210	13	regression	regression	NOUN
iogr-1312	210	14	and	and	CCONJ
iogr-1312	210	15	artificial	artificial	ADJ
iogr-1312	210	16	neural	neural	ADJ
iogr-1312	210	17	network	network	NOUN
iogr-1312	210	18	models	model	NOUN
iogr-1312	210	19	in	in	ADP
iogr-1312	210	20	predicting	predict	VERB
iogr-1312	210	21	permeability	permeability	NOUN
iogr-1312	210	22	from	from	ADP
iogr-1312	210	23	well	well	INTJ
iogr-1312	210	24	log	log	PROPN
iogr-1312	210	25	data	datum	NOUN
iogr-1312	210	26	.	.	PUNCT
iogr-1312	211	1	the	the	DET
iogr-1312	211	2	interactions	interaction	NOUN
iogr-1312	211	3	linear	linear	PROPN
iogr-1312	211	4	regression	regression	NOUN
iogr-1312	211	5	model	model	NOUN
iogr-1312	211	6	and	and	CCONJ
iogr-1312	211	7	the	the	DET
iogr-1312	211	8	n-10	n-10	ADJ
iogr-1312	211	9	ann	ann	PROPN
iogr-1312	211	10	structure	structure	NOUN
iogr-1312	211	11	were	be	AUX
iogr-1312	211	12	identified	identify	VERB
iogr-1312	211	13	as	as	ADP
iogr-1312	211	14	the	the	DET
iogr-1312	211	15	best	well	ADV
iogr-1312	211	16	-	-	PUNCT
iogr-1312	211	17	performing	perform	VERB
iogr-1312	211	18	models	model	NOUN
iogr-1312	211	19	in	in	ADP
iogr-1312	211	20	their	their	PRON
iogr-1312	211	21	respective	respective	ADJ
iogr-1312	211	22	approaches	approach	NOUN
iogr-1312	211	23	.	.	PUNCT
iogr-1312	212	1	while	while	SCONJ
iogr-1312	212	2	the	the	DET
iogr-1312	212	3	ann	ann	PROPN
iogr-1312	212	4	model	model	NOUN
iogr-1312	212	5	improved	improve	VERB
iogr-1312	212	6	oil	oil	NOUN
iogr-1312	212	7	and	and	CCONJ
iogr-1312	212	8	gas	gas	NOUN
iogr-1312	212	9	recovery	recovery	NOUN
iogr-1312	212	10	12	12	NUM
iogr-1312	212	11	demonstrated	demonstrate	VERB
iogr-1312	212	12	superior	superior	ADJ
iogr-1312	212	13	accuracy	accuracy	NOUN
iogr-1312	212	14	and	and	CCONJ
iogr-1312	212	15	robustness	robustness	NOUN
iogr-1312	212	16	,	,	PUNCT
iogr-1312	212	17	the	the	DET
iogr-1312	212	18	linear	linear	ADJ
iogr-1312	212	19	regression	regression	NOUN
iogr-1312	212	20	models	model	NOUN
iogr-1312	212	21	,	,	PUNCT
iogr-1312	212	22	particularly	particularly	ADV
iogr-1312	212	23	the	the	DET
iogr-1312	212	24	interactions	interaction	NOUN
iogr-1312	212	25	model	model	NOUN
iogr-1312	212	26	,	,	PUNCT
iogr-1312	212	27	offered	offer	VERB
iogr-1312	212	28	valuable	valuable	ADJ
iogr-1312	212	29	insights	insight	NOUN
iogr-1312	212	30	into	into	ADP
iogr-1312	212	31	the	the	DET
iogr-1312	212	32	relationships	relationship	NOUN
iogr-1312	212	33	between	between	ADP
iogr-1312	212	34	variables	variable	NOUN
iogr-1312	212	35	.	.	PUNCT
iogr-1312	213	1	the	the	DET
iogr-1312	213	2	models	model	NOUN
iogr-1312	213	3	developed	develop	VERB
iogr-1312	213	4	in	in	ADP
iogr-1312	213	5	this	this	DET
iogr-1312	213	6	study	study	NOUN
iogr-1312	213	7	can	can	AUX
iogr-1312	213	8	be	be	AUX
iogr-1312	213	9	effectively	effectively	ADV
iogr-1312	213	10	applied	apply	VERB
iogr-1312	213	11	in	in	ADP
iogr-1312	213	12	reservoir	reservoir	NOUN
iogr-1312	213	13	characterization	characterization	NOUN
iogr-1312	213	14	,	,	PUNCT
iogr-1312	213	15	leading	lead	VERB
iogr-1312	213	16	to	to	ADP
iogr-1312	213	17	improved	improved	ADJ
iogr-1312	213	18	decision	decision	NOUN
iogr-1312	213	19	-	-	PUNCT
iogr-1312	213	20	making	making	NOUN
iogr-1312	213	21	in	in	ADP
iogr-1312	213	22	the	the	DET
iogr-1312	213	23	oil	oil	NOUN
iogr-1312	213	24	and	and	CCONJ
iogr-1312	213	25	gas	gas	NOUN
iogr-1312	213	26	industry	industry	NOUN
iogr-1312	213	27	.	.	PUNCT
iogr-1312	214	1	recommendation	recommendation	NOUN
iogr-1312	214	2	based	base	VERB
iogr-1312	214	3	on	on	ADP
iogr-1312	214	4	the	the	DET
iogr-1312	214	5	results	result	NOUN
iogr-1312	214	6	and	and	CCONJ
iogr-1312	214	7	discussion	discussion	NOUN
iogr-1312	214	8	of	of	ADP
iogr-1312	214	9	the	the	DET
iogr-1312	214	10	modeling	modeling	NOUN
iogr-1312	214	11	approaches	approach	NOUN
iogr-1312	214	12	for	for	ADP
iogr-1312	214	13	predicting	predict	VERB
iogr-1312	214	14	permeability	permeability	NOUN
iogr-1312	214	15	from	from	ADP
iogr-1312	214	16	well	well	INTJ
iogr-1312	214	17	log	log	PROPN
iogr-1312	214	18	data	datum	NOUN
iogr-1312	214	19	,	,	PUNCT
iogr-1312	214	20	the	the	DET
iogr-1312	214	21	following	follow	VERB
iogr-1312	214	22	recommendations	recommendation	NOUN
iogr-1312	214	23	are	be	AUX
iogr-1312	214	24	proposed	propose	VERB
iogr-1312	214	25	:	:	PUNCT
iogr-1312	214	26	1	1	X
iogr-1312	214	27	.	.	X
iogr-1312	214	28	adoption	adoption	NOUN
iogr-1312	214	29	of	of	ADP
iogr-1312	214	30	artificial	artificial	ADJ
iogr-1312	214	31	neural	neural	ADJ
iogr-1312	214	32	networks	network	NOUN
iogr-1312	214	33	(	(	PUNCT
iogr-1312	214	34	ann	ann	PROPN
iogr-1312	214	35	)	)	PUNCT
iogr-1312	214	36	for	for	ADP
iogr-1312	214	37	complex	complex	ADJ
iogr-1312	214	38	reservoirs	reservoir	NOUN
iogr-1312	214	39	:	:	PUNCT
iogr-1312	214	40	the	the	DET
iogr-1312	214	41	ann	ann	PROPN
iogr-1312	214	42	model	model	NOUN
iogr-1312	214	43	,	,	PUNCT
iogr-1312	214	44	particularly	particularly	ADV
iogr-1312	214	45	the	the	DET
iogr-1312	214	46	n-10	n-10	ADJ
iogr-1312	214	47	structure	structure	NOUN
iogr-1312	214	48	,	,	PUNCT
iogr-1312	214	49	demonstrated	demonstrate	VERB
iogr-1312	214	50	superior	superior	ADJ
iogr-1312	214	51	accuracy	accuracy	NOUN
iogr-1312	214	52	in	in	ADP
iogr-1312	214	53	predicting	predict	VERB
iogr-1312	214	54	permeability	permeability	NOUN
iogr-1312	214	55	,	,	PUNCT
iogr-1312	214	56	especially	especially	ADV
iogr-1312	214	57	in	in	ADP
iogr-1312	214	58	complex	complex	ADJ
iogr-1312	214	59	reservoirs	reservoir	NOUN
iogr-1312	214	60	where	where	SCONJ
iogr-1312	214	61	non	non	ADJ
iogr-1312	214	62	-	-	ADJ
iogr-1312	214	63	linear	linear	ADJ
iogr-1312	214	64	relationships	relationship	NOUN
iogr-1312	214	65	prevail	prevail	VERB
iogr-1312	214	66	.	.	PUNCT
iogr-1312	215	1	this	this	DET
iogr-1312	215	2	model	model	NOUN
iogr-1312	215	3	should	should	AUX
iogr-1312	215	4	be	be	AUX
iogr-1312	215	5	prioritized	prioritize	VERB
iogr-1312	215	6	for	for	ADP
iogr-1312	215	7	reservoir	reservoir	NOUN
iogr-1312	215	8	characterization	characterization	NOUN
iogr-1312	215	9	in	in	ADP
iogr-1312	215	10	such	such	ADJ
iogr-1312	215	11	environments	environment	NOUN
iogr-1312	215	12	.	.	PUNCT
iogr-1312	216	1	2	2	X
iogr-1312	216	2	.	.	X
iogr-1312	216	3	use	use	NOUN
iogr-1312	216	4	of	of	ADP
iogr-1312	216	5	interactions	interaction	NOUN
iogr-1312	216	6	linear	linear	ADJ
iogr-1312	216	7	regression	regression	NOUN
iogr-1312	216	8	for	for	ADP
iogr-1312	216	9	simpler	simple	ADJ
iogr-1312	216	10	reservoirs	reservoir	NOUN
iogr-1312	216	11	:	:	PUNCT
iogr-1312	216	12	the	the	DET
iogr-1312	216	13	interactions	interaction	NOUN
iogr-1312	216	14	linear	linear	VERB
iogr-1312	216	15	regression	regression	NOUN
iogr-1312	216	16	model	model	NOUN
iogr-1312	216	17	performed	perform	VERB
iogr-1312	216	18	well	well	ADV
iogr-1312	216	19	,	,	PUNCT
iogr-1312	216	20	with	with	ADP
iogr-1312	216	21	relatively	relatively	ADV
iogr-1312	216	22	high	high	ADJ
iogr-1312	216	23	accuracy	accuracy	NOUN
iogr-1312	216	24	and	and	CCONJ
iogr-1312	216	25	strong	strong	ADJ
iogr-1312	216	26	generalization	generalization	NOUN
iogr-1312	216	27	.	.	PUNCT
iogr-1312	217	1	this	this	DET
iogr-1312	217	2	model	model	NOUN
iogr-1312	217	3	is	be	AUX
iogr-1312	217	4	more	more	ADV
iogr-1312	217	5	interpretable	interpretable	ADJ
iogr-1312	217	6	and	and	CCONJ
iogr-1312	217	7	computationally	computationally	ADV
iogr-1312	217	8	less	less	ADV
iogr-1312	217	9	intensive	intensive	ADJ
iogr-1312	217	10	than	than	ADP
iogr-1312	217	11	ann	ann	PROPN
iogr-1312	217	12	models	model	NOUN
iogr-1312	217	13	,	,	PUNCT
iogr-1312	217	14	making	make	VERB
iogr-1312	217	15	it	it	PRON
iogr-1312	217	16	suitable	suitable	ADJ
iogr-1312	217	17	for	for	ADP
iogr-1312	217	18	reservoirs	reservoir	NOUN
iogr-1312	217	19	where	where	SCONJ
iogr-1312	217	20	relationships	relationship	NOUN
iogr-1312	217	21	are	be	AUX
iogr-1312	217	22	expected	expect	VERB
iogr-1312	217	23	to	to	PART
iogr-1312	217	24	be	be	AUX
iogr-1312	217	25	more	more	ADV
iogr-1312	217	26	linear	linear	ADJ
iogr-1312	217	27	.	.	PUNCT
iogr-1312	218	1	3	3	X
iogr-1312	218	2	.	.	X
iogr-1312	218	3	integration	integration	NOUN
iogr-1312	218	4	of	of	ADP
iogr-1312	218	5	both	both	DET
iogr-1312	218	6	modeling	model	VERB
iogr-1312	218	7	approaches	approach	NOUN
iogr-1312	218	8	:	:	PUNCT
iogr-1312	218	9	each	each	DET
iogr-1312	218	10	modeling	modeling	NOUN
iogr-1312	218	11	approach	approach	NOUN
iogr-1312	218	12	offers	offer	VERB
iogr-1312	218	13	unique	unique	ADJ
iogr-1312	218	14	strengths	strength	NOUN
iogr-1312	218	15	--	--	PUNCT
iogr-1312	218	16	ann	ann	NOUN
iogr-1312	218	17	for	for	ADP
iogr-1312	218	18	capturing	capture	VERB
iogr-1312	218	19	complex	complex	ADJ
iogr-1312	218	20	,	,	PUNCT
iogr-1312	218	21	non	non	ADJ
iogr-1312	218	22	-	-	ADJ
iogr-1312	218	23	linear	linear	ADJ
iogr-1312	218	24	relationships	relationship	NOUN
iogr-1312	218	25	,	,	PUNCT
iogr-1312	218	26	and	and	CCONJ
iogr-1312	218	27	linear	linear	ADJ
iogr-1312	218	28	regression	regression	NOUN
iogr-1312	218	29	for	for	ADP
iogr-1312	218	30	simplicity	simplicity	NOUN
iogr-1312	218	31	and	and	CCONJ
iogr-1312	218	32	interpretability	interpretability	NOUN
iogr-1312	218	33	.	.	PUNCT
iogr-1312	219	1	integrating	integrate	VERB
iogr-1312	219	2	both	both	DET
iogr-1312	219	3	approaches	approach	NOUN
iogr-1312	219	4	could	could	AUX
iogr-1312	219	5	provide	provide	VERB
iogr-1312	219	6	a	a	DET
iogr-1312	219	7	more	more	ADV
iogr-1312	219	8	comprehensive	comprehensive	ADJ
iogr-1312	219	9	understanding	understanding	NOUN
iogr-1312	219	10	of	of	ADP
iogr-1312	219	11	reservoir	reservoir	NOUN
iogr-1312	219	12	behavior	behavior	NOUN
iogr-1312	219	13	.	.	PUNCT
iogr-1312	220	1	a	a	DET
iogr-1312	220	2	hybrid	hybrid	ADJ
iogr-1312	220	3	approach	approach	NOUN
iogr-1312	220	4	can	can	AUX
iogr-1312	220	5	be	be	AUX
iogr-1312	220	6	employed	employ	VERB
iogr-1312	220	7	where	where	SCONJ
iogr-1312	220	8	both	both	DET
iogr-1312	220	9	models	model	NOUN
iogr-1312	220	10	are	be	AUX
iogr-1312	220	11	run	run	VERB
iogr-1312	220	12	in	in	ADP
iogr-1312	220	13	parallel	parallel	NOUN
iogr-1312	220	14	.	.	PUNCT
iogr-1312	221	1	the	the	DET
iogr-1312	221	2	linear	linear	PROPN
iogr-1312	221	3	regression	regression	NOUN
iogr-1312	221	4	model	model	NOUN
iogr-1312	221	5	can	can	AUX
iogr-1312	221	6	be	be	AUX
iogr-1312	221	7	used	use	VERB
iogr-1312	221	8	for	for	ADP
iogr-1312	221	9	initial	initial	ADJ
iogr-1312	221	10	,	,	PUNCT
iogr-1312	221	11	quick	quick	ADJ
iogr-1312	221	12	assessments	assessment	NOUN
iogr-1312	221	13	,	,	PUNCT
iogr-1312	221	14	while	while	SCONJ
iogr-1312	221	15	the	the	DET
iogr-1312	221	16	ann	ann	PROPN
iogr-1312	221	17	model	model	NOUN
iogr-1312	221	18	provides	provide	VERB
iogr-1312	221	19	a	a	DET
iogr-1312	221	20	more	more	ADV
iogr-1312	221	21	detailed	detailed	ADJ
iogr-1312	221	22	analysis	analysis	NOUN
iogr-1312	221	23	.	.	PUNCT
iogr-1312	222	1	this	this	DET
iogr-1312	222	2	strategy	strategy	NOUN
iogr-1312	222	3	would	would	AUX
iogr-1312	222	4	ensure	ensure	VERB
iogr-1312	222	5	that	that	SCONJ
iogr-1312	222	6	different	different	ADJ
iogr-1312	222	7	aspects	aspect	NOUN
iogr-1312	222	8	of	of	ADP
iogr-1312	222	9	reservoir	reservoir	PROPN
iogr-1312	222	10	characteristics	characteristic	NOUN
iogr-1312	222	11	are	be	AUX
iogr-1312	222	12	captured	capture	VERB
iogr-1312	222	13	,	,	PUNCT
iogr-1312	222	14	enhancing	enhance	VERB
iogr-1312	222	15	overall	overall	ADJ
iogr-1312	222	16	decisionmaking	decisionmaking	NOUN
iogr-1312	222	17	.	.	PUNCT
iogr-1312	223	1	conflicting	conflicting	ADJ
iogr-1312	223	2	interest	interest	NOUN
iogr-1312	223	3	the	the	DET
iogr-1312	223	4	author(s	author(s	NOUN
iogr-1312	223	5	)	)	PUNCT
iogr-1312	223	6	declare	declare	VERB
iogr-1312	223	7	that	that	SCONJ
iogr-1312	223	8	they	they	PRON
iogr-1312	223	9	have	have	VERB
iogr-1312	223	10	no	no	DET
iogr-1312	223	11	conflicting	conflict	VERB
iogr-1312	223	12	interests	interest	NOUN
iogr-1312	223	13	.	.	PUNCT
iogr-1312	224	1	reference	reference	NOUN
iogr-1312	224	2	ahmadi	ahmadi	PROPN
iogr-1312	224	3	,	,	PUNCT
iogr-1312	224	4	m.	m.	NOUN
iogr-1312	224	5	a.	a.	PROPN
iogr-1312	224	6	and	and	CCONJ
iogr-1312	224	7	chen	chen	PROPN
iogr-1312	224	8	,	,	PUNCT
iogr-1312	224	9	z.	z.	PROPN
iogr-1312	224	10	2019	2019	NUM
iogr-1312	224	11	.	.	PUNCT
iogr-1312	225	1	comparison	comparison	NOUN
iogr-1312	225	2	of	of	ADP
iogr-1312	225	3	machine	machine	NOUN
iogr-1312	225	4	learning	learning	NOUN
iogr-1312	225	5	methods	method	NOUN
iogr-1312	225	6	for	for	ADP
iogr-1312	225	7	estimating	estimate	VERB
iogr-1312	225	8	permeability	permeability	NOUN
iogr-1312	225	9	and	and	CCONJ
iogr-1312	225	10	porosity	porosity	NOUN
iogr-1312	225	11	of	of	ADP
iogr-1312	225	12	oil	oil	NOUN
iogr-1312	225	13	reservoirs	reservoir	NOUN
iogr-1312	225	14	via	via	ADP
iogr-1312	225	15	petro	petro	NOUN
iogr-1312	225	16	-	-	PUNCT
iogr-1312	225	17	physical	physical	ADJ
iogr-1312	225	18	logs	log	NOUN
iogr-1312	225	19	.	.	PUNCT
iogr-1312	226	1	petroleum	petroleum	NOUN
iogr-1312	226	2	5(1):271	5(1):271	NUM
iogr-1312	226	3	-	-	SYM
iogr-1312	226	4	284	284	NUM
iogr-1312	226	5	.	.	PUNCT
iogr-1312	227	1	ahmed	ahme	VERB
iogr-1312	227	2	,	,	PUNCT
iogr-1312	227	3	t.	t.	PROPN
iogr-1312	227	4	2006	2006	NUM
iogr-1312	227	5	.	.	PUNCT
iogr-1312	228	1	reservoir	reservoir	PROPN
iogr-1312	228	2	engineering	engineering	PROPN
iogr-1312	228	3	handbook	handbook	NOUN
iogr-1312	228	4	,	,	PUNCT
iogr-1312	228	5	second	second	ADJ
iogr-1312	228	6	edition	edition	NOUN
iogr-1312	228	7	.	.	PUNCT
iogr-1312	229	1	houston	houston	PROPN
iogr-1312	229	2	,	,	PUNCT
iogr-1312	229	3	tx	tx	PROPN
iogr-1312	229	4	:	:	PUNCT
iogr-1312	229	5	gulf	gulf	PROPN
iogr-1312	229	6	professional	professional	ADJ
iogr-1312	229	7	publishing	publishing	NOUN
iogr-1312	229	8	.	.	PUNCT
iogr-1312	230	1	azim	azim	PROPN
iogr-1312	230	2	,	,	PUNCT
iogr-1312	230	3	r.	r.	PROPN
iogr-1312	230	4	a.	a.	NOUN
iogr-1312	230	5	2020	2020	NUM
iogr-1312	230	6	.	.	PUNCT
iogr-1312	231	1	application	application	NOUN
iogr-1312	231	2	of	of	ADP
iogr-1312	231	3	artificial	artificial	ADJ
iogr-1312	231	4	neural	neural	ADJ
iogr-1312	231	5	network	network	NOUN
iogr-1312	231	6	in	in	ADP
iogr-1312	231	7	optimizing	optimize	VERB
iogr-1312	231	8	the	the	DET
iogr-1312	231	9	drilling	drilling	NOUN
iogr-1312	231	10	rate	rate	NOUN
iogr-1312	231	11	of	of	ADP
iogr-1312	231	12	penetration	penetration	NOUN
iogr-1312	231	13	of	of	ADP
iogr-1312	231	14	western	western	ADJ
iogr-1312	231	15	desert	desert	PROPN
iogr-1312	231	16	egyptian	egyptian	ADJ
iogr-1312	231	17	wells	wells	PROPN
iogr-1312	231	18	.	.	PUNCT
iogr-1312	232	1	sn	sn	PROPN
iogr-1312	232	2	appl	appl	PROPN
iogr-1312	232	3	.	.	PUNCT
iogr-1312	233	1	sci	sci	PROPN
iogr-1312	233	2	.	.	PUNCT
iogr-1312	233	3	2(1):1177	2(1):1177	PROPN
iogr-1312	233	4	.	.	PUNCT
iogr-1312	234	1	azim	azim	PROPN
iogr-1312	234	2	,	,	PUNCT
iogr-1312	234	3	r.	r.	PROPN
iogr-1312	234	4	a.	a.	PROPN
iogr-1312	234	5	2021	2021	NUM
iogr-1312	234	6	.	.	PUNCT
iogr-1312	235	1	prediction	prediction	NOUN
iogr-1312	235	2	of	of	ADP
iogr-1312	235	3	multiphase	multiphase	NOUN
iogr-1312	235	4	flow	flow	NOUN
iogr-1312	235	5	rate	rate	NOUN
iogr-1312	235	6	for	for	ADP
iogr-1312	235	7	artificially	artificially	ADV
iogr-1312	235	8	flowing	flow	VERB
iogr-1312	235	9	wells	well	NOUN
iogr-1312	235	10	using	use	VERB
iogr-1312	235	11	rigorous	rigorous	ADJ
iogr-1312	235	12	artificial	artificial	ADJ
iogr-1312	235	13	neural	neural	ADJ
iogr-1312	235	14	network	network	NOUN
iogr-1312	235	15	technique	technique	NOUN
iogr-1312	235	16	.	.	PUNCT
iogr-1312	236	1	flow	flow	NOUN
iogr-1312	236	2	measurement	measurement	NOUN
iogr-1312	236	3	and	and	CCONJ
iogr-1312	236	4	instrumentation	instrumentation	NOUN
iogr-1312	236	5	76(1):101835	76(1):101835	PROPN
iogr-1312	236	6	.	.	PUNCT
iogr-1312	237	1	azim	azim	PROPN
iogr-1312	237	2	,	,	PUNCT
iogr-1312	237	3	r.	r.	PROPN
iogr-1312	237	4	a.	a.	PROPN
iogr-1312	237	5	and	and	CCONJ
iogr-1312	237	6	aljehani	aljehani	PROPN
iogr-1312	237	7	,	,	PUNCT
iogr-1312	237	8	a.	a.	NOUN
iogr-1312	237	9	2022	2022	NUM
iogr-1312	237	10	.	.	PUNCT
iogr-1312	238	1	neural	neural	ADJ
iogr-1312	238	2	network	network	NOUN
iogr-1312	238	3	model	model	NOUN
iogr-1312	238	4	for	for	ADP
iogr-1312	238	5	permeability	permeability	NOUN
iogr-1312	238	6	prediction	prediction	NOUN
iogr-1312	238	7	from	from	ADP
iogr-1312	238	8	reservoir	reservoir	PROPN
iogr-1312	238	9	well	well	NOUN
iogr-1312	238	10	logs	log	NOUN
iogr-1312	238	11	.	.	PUNCT
iogr-1312	239	1	processes	process	NOUN
iogr-1312	239	2	10(12):2587	10(12):2587	NUM
iogr-1312	239	3	.	.	PUNCT
iogr-1312	239	4	byrnes	byrnes	PROPN
iogr-1312	239	5	,	,	PUNCT
iogr-1312	239	6	a.	a.	NOUN
iogr-1312	239	7	p.	p.	NOUN
iogr-1312	239	8	1994	1994	NUM
iogr-1312	239	9	.	.	PUNCT
iogr-1312	240	1	measurements	measurement	NOUN
iogr-1312	240	2	of	of	ADP
iogr-1312	240	3	dependent	dependent	ADJ
iogr-1312	240	4	variables	variable	NOUN
iogr-1312	240	5	-	-	PUNCT
iogr-1312	240	6	petrophysical	petrophysical	ADJ
iogr-1312	240	7	variables	variable	NOUN
iogr-1312	240	8	.	.	PUNCT
iogr-1312	241	1	in	in	ADP
iogr-1312	241	2	reservoir	reservoir	NOUN
iogr-1312	241	3	quality	quality	NOUN
iogr-1312	241	4	assessment	assessment	NOUN
iogr-1312	241	5	and	and	CCONJ
iogr-1312	241	6	prediction	prediction	NOUN
iogr-1312	241	7	in	in	ADP
iogr-1312	241	8	clastic	clastic	ADJ
iogr-1312	241	9	rocks	rock	NOUN
iogr-1312	241	10	,	,	PUNCT
iogr-1312	241	11	ed	ed	PROPN
iogr-1312	241	12	.	.	PUNCT
iogr-1312	241	13	m.	m.	PROPN
iogr-1312	241	14	d.	d.	PROPN
iogr-1312	241	15	wilson	wilson	PROPN
iogr-1312	241	16	,	,	PUNCT
iogr-1312	241	17	chap	chap	PROPN
iogr-1312	241	18	.	.	PUNCT
iogr-1312	242	1	11	11	NUM
iogr-1312	242	2	,	,	PUNCT
iogr-1312	242	3	231	231	NUM
iogr-1312	242	4	-	-	SYM
iogr-1312	242	5	247	247	NUM
iogr-1312	242	6	.	.	PUNCT
iogr-1312	242	7	mclean	mclean	PROPN
iogr-1312	242	8	,	,	PUNCT
iogr-1312	242	9	va	va	NOUN
iogr-1312	242	10	:	:	PUNCT
iogr-1312	242	11	geoscienceworld	geoscienceworld	NOUN
iogr-1312	242	12	.	.	PUNCT
iogr-1312	243	1	dullien	dullien	PROPN
iogr-1312	243	2	,	,	PUNCT
iogr-1312	243	3	f.	f.	PROPN
iogr-1312	243	4	a.	a.	PROPN
iogr-1312	243	5	l.	l.	PROPN
iogr-1312	243	6	1992	1992	NUM
iogr-1312	243	7	.	.	PUNCT
iogr-1312	244	1	porous	porous	ADJ
iogr-1312	244	2	media	medium	NOUN
iogr-1312	244	3	—	—	PUNCT
iogr-1312	244	4	fluid	fluid	ADJ
iogr-1312	244	5	transport	transport	NOUN
iogr-1312	244	6	and	and	CCONJ
iogr-1312	244	7	pore	pore	ADJ
iogr-1312	244	8	structure	structure	NOUN
iogr-1312	244	9	,	,	PUNCT
iogr-1312	244	10	second	second	ADJ
iogr-1312	244	11	edition	edition	NOUN
iogr-1312	244	12	.	.	PUNCT
iogr-1312	245	1	new	new	PROPN
iogr-1312	245	2	york	york	PROPN
iogr-1312	245	3	:	:	PUNCT
iogr-1312	245	4	academic	academic	ADJ
iogr-1312	245	5	press	press	NOUN
iogr-1312	245	6	.	.	PUNCT
iogr-1312	246	1	edlmann	edlmann	PROPN
iogr-1312	246	2	,	,	PUNCT
iogr-1312	246	3	k.	k.	PROPN
iogr-1312	246	4	,	,	PUNCT
iogr-1312	246	5	somerville	somerville	PROPN
iogr-1312	246	6	,	,	PUNCT
iogr-1312	246	7	j.	j.	PROPN
iogr-1312	246	8	m.	m.	PROPN
iogr-1312	246	9	,	,	PUNCT
iogr-1312	246	10	smart	smart	ADJ
iogr-1312	246	11	,	,	PUNCT
iogr-1312	246	12	b.	b.	PROPN
iogr-1312	246	13	g.	g.	PROPN
iogr-1312	246	14	,	,	PUNCT
iogr-1312	246	15	et	et	PROPN
iogr-1312	246	16	al	al	PROPN
iogr-1312	246	17	.	.	PROPN
iogr-1312	246	18	1996	1996	NUM
iogr-1312	246	19	.	.	PUNCT
iogr-1312	247	1	predicting	predict	VERB
iogr-1312	247	2	rock	rock	NOUN
iogr-1312	247	3	mechanical	mechanical	ADJ
iogr-1312	247	4	properties	property	NOUN
iogr-1312	247	5	from	from	ADP
iogr-1312	247	6	wireline	wireline	NOUN
iogr-1312	247	7	porosities	porosity	NOUN
iogr-1312	247	8	.	.	PUNCT
iogr-1312	248	1	paper	paper	NOUN
iogr-1312	248	2	presented	present	VERB
iogr-1312	248	3	at	at	ADP
iogr-1312	248	4	the	the	DET
iogr-1312	248	5	spe	spe	PROPN
iogr-1312	248	6	/	/	SYM
iogr-1312	248	7	isrm	isrm	PROPN
iogr-1312	248	8	rock	rock	NOUN
iogr-1312	248	9	mechanics	mechanic	NOUN
iogr-1312	248	10	in	in	ADP
iogr-1312	248	11	petroleum	petroleum	NOUN
iogr-1312	248	12	engineering	engineering	NOUN
iogr-1312	248	13	,	,	PUNCT
iogr-1312	248	14	trondheim	trondheim	PROPN
iogr-1312	248	15	,	,	PUNCT
iogr-1312	248	16	norway	norway	PROPN
iogr-1312	248	17	,	,	PUNCT
iogr-1312	248	18	8	8	NUM
iogr-1312	248	19	-	-	SYM
iogr-1312	248	20	10	10	NUM
iogr-1312	248	21	july.spe47344	july.spe47344	NOUN
iogr-1312	248	22	-	-	PUNCT
iogr-1312	248	23	ms	ms	PROPN
iogr-1312	248	24	.	.	PROPN
iogr-1312	248	25	ezekwe	ezekwe	PROPN
iogr-1312	248	26	,	,	PUNCT
iogr-1312	248	27	n.	n.	PROPN
iogr-1312	248	28	2010	2010	NUM
iogr-1312	248	29	.	.	PUNCT
iogr-1312	249	1	petroleum	petroleum	NOUN
iogr-1312	249	2	reservoir	reservoir	NOUN
iogr-1312	249	3	engineering	engineering	NOUN
iogr-1312	249	4	practice	practice	NOUN
iogr-1312	249	5	.	.	PUNCT
iogr-1312	250	1	boston	boston	PROPN
iogr-1312	250	2	,	,	PUNCT
iogr-1312	250	3	ma	ma	PROPN
iogr-1312	250	4	:	:	PUNCT
iogr-1312	250	5	prentice	prentice	PROPN
iogr-1312	250	6	hall	hall	PROPN
iogr-1312	250	7	.	.	PUNCT
iogr-1312	251	1	helle	helle	PROPN
iogr-1312	251	2	,	,	PUNCT
iogr-1312	251	3	h.	h.	PROPN
iogr-1312	251	4	b.	b.	PROPN
iogr-1312	251	5	,	,	PUNCT
iogr-1312	251	6	bhatt	bhatt	PROPN
iogr-1312	251	7	,	,	PUNCT
iogr-1312	251	8	a.	a.	NOUN
iogr-1312	251	9	,	,	PUNCT
iogr-1312	251	10	and	and	CCONJ
iogr-1312	251	11	ursin	ursin	PROPN
iogr-1312	251	12	,	,	PUNCT
iogr-1312	251	13	b.	b.	PROPN
iogr-1312	251	14	2001	2001	NUM
iogr-1312	251	15	.	.	PUNCT
iogr-1312	252	1	porosity	porosity	NOUN
iogr-1312	252	2	and	and	CCONJ
iogr-1312	252	3	permeability	permeability	NOUN
iogr-1312	252	4	prediction	prediction	NOUN
iogr-1312	252	5	from	from	ADP
iogr-1312	252	6	wireline	wireline	NOUN
iogr-1312	252	7	logs	log	NOUN
iogr-1312	252	8	using	use	VERB
iogr-1312	252	9	artificial	artificial	ADJ
iogr-1312	252	10	neural	neural	ADJ
iogr-1312	252	11	networks	network	NOUN
iogr-1312	252	12	:	:	PUNCT
iogr-1312	252	13	a	a	DET
iogr-1312	252	14	north	north	NOUN
iogr-1312	252	15	sea	sea	NOUN
iogr-1312	252	16	case	case	NOUN
iogr-1312	252	17	study	study	NOUN
iogr-1312	252	18	.	.	PUNCT
iogr-1312	253	1	geophysical	geophysical	ADJ
iogr-1312	253	2	prospecting	prospecting	ADJ
iogr-1312	253	3	49(1):431	49(1):431	NOUN
iogr-1312	253	4	-	-	PUNCT
iogr-1312	253	5	444	444	NUM
iogr-1312	253	6	.	.	PUNCT
iogr-1312	254	1	huang	huang	PROPN
iogr-1312	254	2	,	,	PUNCT
iogr-1312	254	3	z.	z.	PROPN
iogr-1312	254	4	,	,	PUNCT
iogr-1312	254	5	shimeld	shimeld	PROPN
iogr-1312	254	6	,	,	PUNCT
iogr-1312	254	7	j.	j.	PROPN
iogr-1312	254	8	,	,	PUNCT
iogr-1312	254	9	williamson	williamson	PROPN
iogr-1312	254	10	,	,	PUNCT
iogr-1312	254	11	m.	m.	NOUN
iogr-1312	254	12	,	,	PUNCT
iogr-1312	254	13	and	and	CCONJ
iogr-1312	254	14	katsube	katsube	PROPN
iogr-1312	254	15	,	,	PUNCT
iogr-1312	254	16	j.	j.	PROPN
iogr-1312	254	17	1996	1996	NUM
iogr-1312	254	18	.	.	PUNCT
iogr-1312	255	1	permeability	permeability	NOUN
iogr-1312	255	2	prediction	prediction	NOUN
iogr-1312	255	3	with	with	ADP
iogr-1312	255	4	artificial	artificial	ADJ
iogr-1312	255	5	neural	neural	ADJ
iogr-1312	255	6	network	network	NOUN
iogr-1312	255	7	modeling	modeling	NOUN
iogr-1312	255	8	in	in	ADP
iogr-1312	255	9	the	the	DET
iogr-1312	255	10	venture	venture	NOUN
iogr-1312	255	11	gas	gas	NOUN
iogr-1312	255	12	field	field	NOUN
iogr-1312	255	13	,	,	PUNCT
iogr-1312	255	14	offshore	offshore	ADJ
iogr-1312	255	15	eastern	eastern	PROPN
iogr-1312	255	16	canada	canada	PROPN
iogr-1312	255	17	.	.	PUNCT
iogr-1312	256	1	geophysics	geophysics	PROPN
iogr-1312	256	2	61(1):422	61(1):422	NOUN
iogr-1312	256	3	-	-	PUNCT
iogr-1312	256	4	436	436	NUM
iogr-1312	256	5	.	.	PUNCT
iogr-1312	257	1	improved	improve	VERB
iogr-1312	257	2	oil	oil	NOUN
iogr-1312	257	3	and	and	CCONJ
iogr-1312	257	4	gas	gas	NOUN
iogr-1312	257	5	recovery	recovery	NOUN
iogr-1312	257	6	13	13	NUM
iogr-1312	257	7	huang	huang	PROPN
iogr-1312	257	8	,	,	PUNCT
iogr-1312	257	9	z.	z.	PROPN
iogr-1312	257	10	and	and	CCONJ
iogr-1312	257	11	williamson	williamson	PROPN
iogr-1312	257	12	,	,	PUNCT
iogr-1312	257	13	m.	m.	NOUN
iogr-1312	257	14	a.	a.	PROPN
iogr-1312	257	15	1997	1997	NUM
iogr-1312	257	16	.	.	PUNCT
iogr-1312	258	1	determination	determination	NOUN
iogr-1312	258	2	of	of	ADP
iogr-1312	258	3	porosity	porosity	NOUN
iogr-1312	258	4	and	and	CCONJ
iogr-1312	258	5	permeability	permeability	NOUN
iogr-1312	258	6	in	in	ADP
iogr-1312	258	7	reservoir	reservoir	NOUN
iogr-1312	258	8	intervals	interval	NOUN
iogr-1312	258	9	by	by	ADP
iogr-1312	258	10	artificial	artificial	ADJ
iogr-1312	258	11	neural	neural	ADJ
iogr-1312	258	12	network	network	NOUN
iogr-1312	258	13	modelling	modelling	NOUN
iogr-1312	258	14	,	,	PUNCT
iogr-1312	258	15	offshore	offshore	ADJ
iogr-1312	258	16	eastern	eastern	PROPN
iogr-1312	258	17	canada	canada	PROPN
iogr-1312	258	18	.	.	PUNCT
iogr-1312	259	1	petroleum	petroleum	NOUN
iogr-1312	259	2	geoscience	geoscience	PROPN
iogr-1312	259	3	3(1):245	3(1):245	NUM
iogr-1312	259	4	-	-	SYM
iogr-1312	259	5	258	258	NUM
iogr-1312	259	6	.	.	PUNCT
iogr-1312	260	1	jakhar	jakhar	PROPN
iogr-1312	260	2	,	,	PUNCT
iogr-1312	260	3	d.	d.	PROPN
iogr-1312	260	4	and	and	CCONJ
iogr-1312	260	5	kaur	kaur	PROPN
iogr-1312	260	6	,	,	PUNCT
iogr-1312	260	7	i.	i.	PROPN
iogr-1312	260	8	2020	2020	NUM
iogr-1312	260	9	.	.	PUNCT
iogr-1312	261	1	artificial	artificial	ADJ
iogr-1312	261	2	intelligence	intelligence	NOUN
iogr-1312	261	3	,	,	PUNCT
iogr-1312	261	4	machine	machine	NOUN
iogr-1312	261	5	learning	learning	NOUN
iogr-1312	261	6	and	and	CCONJ
iogr-1312	261	7	deep	deep	ADJ
iogr-1312	261	8	learning	learning	NOUN
iogr-1312	261	9	:	:	PUNCT
iogr-1312	261	10	definitions	definition	NOUN
iogr-1312	261	11	and	and	CCONJ
iogr-1312	261	12	differences	difference	NOUN
iogr-1312	261	13	.	.	PUNCT
iogr-1312	262	1	clinical	clinical	ADJ
iogr-1312	262	2	and	and	CCONJ
iogr-1312	262	3	experimental	experimental	ADJ
iogr-1312	262	4	dermatology	dermatology	NOUN
iogr-1312	262	5	45(1):131	45(1):131	NUM
iogr-1312	262	6	-	-	SYM
iogr-1312	262	7	132	132	NUM
iogr-1312	262	8	.	.	PUNCT
iogr-1312	263	1	jian	jian	PROPN
iogr-1312	263	2	,	,	PUNCT
iogr-1312	263	3	f.	f.	PROPN
iogr-1312	263	4	x.	x.	PROPN
iogr-1312	263	5	and	and	CCONJ
iogr-1312	263	6	taggart	taggart	PROPN
iogr-1312	263	7	,	,	PUNCT
iogr-1312	263	8	i.	i.	PROPN
iogr-1312	263	9	j.	j.	PROPN
iogr-1312	263	10	1995	1995	NUM
iogr-1312	263	11	.	.	PUNCT
iogr-1312	264	1	a	a	DET
iogr-1312	264	2	critical	critical	ADJ
iogr-1312	264	3	comparison	comparison	NOUN
iogr-1312	264	4	of	of	ADP
iogr-1312	264	5	neural	neural	ADJ
iogr-1312	264	6	networks	network	NOUN
iogr-1312	264	7	and	and	CCONJ
iogr-1312	264	8	discriminant	discriminant	ADJ
iogr-1312	264	9	analysis	analysis	NOUN
iogr-1312	264	10	in	in	ADP
iogr-1312	264	11	lithofacies	lithofacie	NOUN
iogr-1312	264	12	,	,	PUNCT
iogr-1312	264	13	porosity	porosity	NOUN
iogr-1312	264	14	and	and	CCONJ
iogr-1312	264	15	permeability	permeability	NOUN
iogr-1312	264	16	predictions	prediction	NOUN
iogr-1312	264	17	.	.	PUNCT
iogr-1312	265	1	journal	journal	NOUN
iogr-1312	265	2	of	of	ADP
iogr-1312	265	3	petroleum	petroleum	NOUN
iogr-1312	265	4	geology	geology	NOUN
iogr-1312	265	5	18(1):191	18(1):191	PROPN
iogr-1312	265	6	-	-	PUNCT
iogr-1312	265	7	206	206	NUM
iogr-1312	265	8	.	.	PUNCT
iogr-1312	266	1	johnson	johnson	PROPN
iogr-1312	266	2	,	,	PUNCT
iogr-1312	266	3	a.	a.	PROPN
iogr-1312	266	4	i.	i.	PROPN
iogr-1312	266	5	1963	1963	NUM
iogr-1312	266	6	.	.	PUNCT
iogr-1312	267	1	application	application	NOUN
iogr-1312	267	2	of	of	ADP
iogr-1312	267	3	laboratory	laboratory	NOUN
iogr-1312	267	4	permeability	permeability	NOUN
iogr-1312	267	5	data	datum	NOUN
iogr-1312	267	6	.	.	PUNCT
iogr-1312	268	1	open	open	ADJ
iogr-1312	268	2	-	-	PUNCT
iogr-1312	268	3	file	file	NOUN
iogr-1312	268	4	report	report	NOUN
iogr-1312	268	5	63	63	NUM
iogr-1312	268	6	-	-	SYM
iogr-1312	268	7	67	67	NUM
iogr-1312	268	8	,	,	PUNCT
iogr-1312	268	9	usgs	usgs	PROPN
iogr-1312	268	10	.	.	PROPN
iogr-1312	268	11	leiphart	leiphart	PROPN
iogr-1312	268	12	,	,	PUNCT
iogr-1312	268	13	d.	d.	PROPN
iogr-1312	268	14	j.	j.	PROPN
iogr-1312	268	15	and	and	CCONJ
iogr-1312	268	16	hart	hart	PROPN
iogr-1312	268	17	,	,	PUNCT
iogr-1312	268	18	b.	b.	PROPN
iogr-1312	268	19	s.	s.	PROPN
iogr-1312	268	20	2001	2001	NUM
iogr-1312	268	21	.	.	PUNCT
iogr-1312	269	1	comparison	comparison	NOUN
iogr-1312	269	2	of	of	ADP
iogr-1312	269	3	linear	linear	ADJ
iogr-1312	269	4	regression	regression	NOUN
iogr-1312	269	5	and	and	CCONJ
iogr-1312	269	6	a	a	DET
iogr-1312	269	7	probabilistic	probabilistic	ADJ
iogr-1312	269	8	neural	neural	ADJ
iogr-1312	269	9	network	network	NOUN
iogr-1312	269	10	to	to	PART
iogr-1312	269	11	predict	predict	VERB
iogr-1312	269	12	porosity	porosity	NOUN
iogr-1312	269	13	from	from	ADP
iogr-1312	269	14	3‐d	3‐d	NUM
iogr-1312	269	15	seismic	seismic	ADJ
iogr-1312	269	16	attributes	attribute	NOUN
iogr-1312	269	17	in	in	ADP
iogr-1312	269	18	lower	low	ADJ
iogr-1312	269	19	brushy	brushy	ADJ
iogr-1312	269	20	canyon	canyon	NOUN
iogr-1312	269	21	channeled	channel	VERB
iogr-1312	269	22	sandstones	sandstone	NOUN
iogr-1312	269	23	,	,	PUNCT
iogr-1312	269	24	southeast	southeast	ADJ
iogr-1312	269	25	new	new	PROPN
iogr-1312	269	26	mexico	mexico	PROPN
iogr-1312	269	27	.	.	PUNCT
iogr-1312	270	1	geophysics	geophysic	NOUN
iogr-1312	270	2	66(5):1349	66(5):1349	NUM
iogr-1312	270	3	-	-	PUNCT
iogr-1312	270	4	1358	1358	NUM
iogr-1312	270	5	.	.	PUNCT
iogr-1312	271	1	nelson	nelson	PROPN
iogr-1312	271	2	,	,	PUNCT
iogr-1312	271	3	p.	p.	NOUN
iogr-1312	271	4	1994	1994	NUM
iogr-1312	271	5	.	.	PUNCT
iogr-1312	272	1	permeability	permeability	NOUN
iogr-1312	272	2	-	-	PUNCT
iogr-1312	272	3	porosity	porosity	NOUN
iogr-1312	272	4	relationships	relationship	NOUN
iogr-1312	272	5	in	in	ADP
iogr-1312	272	6	sedimentary	sedimentary	ADJ
iogr-1312	272	7	rocks	rock	NOUN
iogr-1312	272	8	.	.	PUNCT
iogr-1312	273	1	log	log	PROPN
iogr-1312	273	2	analyst	analyst	NOUN
iogr-1312	273	3	1(1):38	1(1):38	NUM
iogr-1312	273	4	-	-	PUNCT
iogr-1312	273	5	62	62	NUM
iogr-1312	273	6	.	.	PUNCT
iogr-1312	274	1	newman	newman	PROPN
iogr-1312	274	2	,	,	PUNCT
iogr-1312	274	3	g.	g.	PROPN
iogr-1312	274	4	h.	h.	PROPN
iogr-1312	274	5	and	and	CCONJ
iogr-1312	274	6	martin	martin	PROPN
iogr-1312	274	7	,	,	PUNCT
iogr-1312	274	8	j.	j.	PROPN
iogr-1312	274	9	c.	c.	PROPN
iogr-1312	274	10	1977	1977	NUM
iogr-1312	274	11	.	.	PUNCT
iogr-1312	275	1	equipment	equipment	NOUN
iogr-1312	275	2	and	and	CCONJ
iogr-1312	275	3	experimental	experimental	ADJ
iogr-1312	275	4	methods	method	NOUN
iogr-1312	275	5	for	for	ADP
iogr-1312	275	6	obtaining	obtain	VERB
iogr-1312	275	7	laboratory	laboratory	NOUN
iogr-1312	275	8	compression	compression	NOUN
iogr-1312	275	9	characteristics	characteristic	NOUN
iogr-1312	275	10	of	of	ADP
iogr-1312	275	11	reservoir	reservoir	PROPN
iogr-1312	275	12	rocks	rock	NOUN
iogr-1312	275	13	under	under	ADP
iogr-1312	275	14	various	various	ADJ
iogr-1312	275	15	stress	stress	NOUN
iogr-1312	275	16	and	and	CCONJ
iogr-1312	275	17	pressure	pressure	NOUN
iogr-1312	275	18	conditions	condition	NOUN
iogr-1312	275	19	.	.	PUNCT
iogr-1312	276	1	paper	paper	NOUN
iogr-1312	276	2	presented	present	VERB
iogr-1312	276	3	at	at	ADP
iogr-1312	276	4	the	the	DET
iogr-1312	276	5	spe	spe	PROPN
iogr-1312	276	6	annual	annual	ADJ
iogr-1312	276	7	fall	fall	NOUN
iogr-1312	276	8	technical	technical	ADJ
iogr-1312	276	9	conference	conference	NOUN
iogr-1312	276	10	and	and	CCONJ
iogr-1312	276	11	exhibition	exhibition	NOUN
iogr-1312	276	12	,	,	PUNCT
iogr-1312	276	13	9	9	NUM
iogr-1312	276	14	-	-	SYM
iogr-1312	276	15	12	12	NUM
iogr-1312	276	16	october	october	PROPN
iogr-1312	276	17	.	.	PUNCT
iogr-1312	277	1	spe-6855	spe-6855	PROPN
iogr-1312	277	2	-	-	PUNCT
iogr-1312	277	3	ms	ms	PROPN
iogr-1312	277	4	.	.	PROPN
iogr-1312	277	5	osborne	osborne	PROPN
iogr-1312	277	6	,	,	PUNCT
iogr-1312	277	7	d.	d.	PROPN
iogr-1312	277	8	a.	a.	PROPN
iogr-1312	277	9	1992	1992	NUM
iogr-1312	277	10	.	.	PUNCT
iogr-1312	278	1	permeability	permeability	NOUN
iogr-1312	278	2	estimation	estimation	NOUN
iogr-1312	278	3	using	use	VERB
iogr-1312	278	4	a	a	DET
iogr-1312	278	5	neural	neural	ADJ
iogr-1312	278	6	network	network	NOUN
iogr-1312	278	7	:	:	PUNCT
iogr-1312	278	8	a	a	DET
iogr-1312	278	9	case	case	NOUN
iogr-1312	278	10	study	study	NOUN
iogr-1312	278	11	from	from	ADP
iogr-1312	278	12	the	the	DET
iogr-1312	278	13	roberts	roberts	PROPN
iogr-1312	278	14	unit	unit	NOUN
iogr-1312	278	15	,	,	PUNCT
iogr-1312	278	16	wasson	wasson	NOUN
iogr-1312	278	17	field	field	PROPN
iogr-1312	278	18	,	,	PUNCT
iogr-1312	278	19	yoakum	yoakum	PROPN
iogr-1312	278	20	county	county	PROPN
iogr-1312	278	21	,	,	PUNCT
iogr-1312	278	22	texas	texas	PROPN
iogr-1312	278	23	.	.	PROPN
iogr-1312	278	24	aapg	aapg	PROPN
iogr-1312	278	25	bulletin	bulletin	NOUN
iogr-1312	278	26	76(4):1325	76(4):1325	PROPN
iogr-1312	278	27	-	-	PUNCT
iogr-1312	278	28	1333	1333	NUM
iogr-1312	278	29	.	.	PUNCT
iogr-1312	279	1	rwechungura	rwechungura	PROPN
iogr-1312	279	2	,	,	PUNCT
iogr-1312	279	3	r.	r.	PROPN
iogr-1312	279	4	,	,	PUNCT
iogr-1312	279	5	dadashpour	dadashpour	NOUN
iogr-1312	279	6	,	,	PUNCT
iogr-1312	279	7	m.	m.	NOUN
iogr-1312	279	8	,	,	PUNCT
iogr-1312	279	9	and	and	CCONJ
iogr-1312	279	10	kleppe	kleppe	PROPN
iogr-1312	279	11	,	,	PUNCT
iogr-1312	279	12	j.	j.	PROPN
iogr-1312	279	13	2011	2011	NUM
iogr-1312	279	14	.	.	PUNCT
iogr-1312	280	1	application	application	NOUN
iogr-1312	280	2	of	of	ADP
iogr-1312	280	3	particle	particle	NOUN
iogr-1312	280	4	swarm	swarm	NOUN
iogr-1312	280	5	optimization	optimization	NOUN
iogr-1312	280	6	for	for	ADP
iogr-1312	280	7	parameter	parameter	NOUN
iogr-1312	280	8	estimation	estimation	NOUN
iogr-1312	280	9	integrating	integrate	VERB
iogr-1312	280	10	production	production	NOUN
iogr-1312	280	11	and	and	CCONJ
iogr-1312	280	12	time	time	NOUN
iogr-1312	280	13	-	-	PUNCT
iogr-1312	280	14	lapse	lapse	NOUN
iogr-1312	280	15	seismic	seismic	ADJ
iogr-1312	280	16	data	datum	NOUN
iogr-1312	280	17	.	.	PUNCT
iogr-1312	281	1	paper	paper	NOUN
iogr-1312	281	2	presented	present	VERB
iogr-1312	281	3	at	at	ADP
iogr-1312	281	4	the	the	DET
iogr-1312	281	5	spe	spe	PROPN
iogr-1312	281	6	offshore	offshore	ADJ
iogr-1312	281	7	europe	europe	PROPN
iogr-1312	281	8	oil	oil	NOUN
iogr-1312	281	9	and	and	CCONJ
iogr-1312	281	10	gas	gas	NOUN
iogr-1312	281	11	conference	conference	NOUN
iogr-1312	281	12	and	and	CCONJ
iogr-1312	281	13	exhibition	exhibition	NOUN
iogr-1312	281	14	,	,	PUNCT
iogr-1312	281	15	aberdeen	aberdeen	PROPN
iogr-1312	281	16	,	,	PUNCT
iogr-1312	281	17	uk	uk	PROPN
iogr-1312	281	18	,	,	PUNCT
iogr-1312	281	19	6	6	NUM
iogr-1312	281	20	-	-	SYM
iogr-1312	281	21	8	8	NUM
iogr-1312	281	22	september	september	PROPN
iogr-1312	281	23	.	.	PUNCT
iogr-1312	282	1	spe-145433	spe-145433	NOUN
iogr-1312	282	2	-	-	PUNCT
iogr-1312	282	3	ms	ms	PROPN
iogr-1312	282	4	.	.	PROPN
iogr-1312	282	5	saputro	saputro	PROPN
iogr-1312	282	6	,	,	PUNCT
iogr-1312	282	7	o.	o.	PROPN
iogr-1312	282	8	d.	d.	PROPN
iogr-1312	282	9	,	,	PUNCT
iogr-1312	282	10	maulana	maulana	PROPN
iogr-1312	282	11	,	,	PUNCT
iogr-1312	282	12	z.	z.	PROPN
iogr-1312	282	13	l.	l.	PROPN
iogr-1312	282	14	,	,	PUNCT
iogr-1312	282	15	and	and	CCONJ
iogr-1312	282	16	latief	latief	NOUN
iogr-1312	282	17	,	,	PUNCT
iogr-1312	282	18	f.	f.	PROPN
iogr-1312	282	19	d.	d.	PROPN
iogr-1312	282	20	e.	e.	PROPN
iogr-1312	282	21	2016	2016	PROPN
iogr-1312	282	22	.	.	PUNCT
iogr-1312	283	1	porosity	porosity	NOUN
iogr-1312	283	2	log	log	NOUN
iogr-1312	283	3	prediction	prediction	NOUN
iogr-1312	283	4	using	use	VERB
iogr-1312	283	5	artificial	artificial	ADJ
iogr-1312	283	6	neural	neural	ADJ
iogr-1312	283	7	network	network	NOUN
iogr-1312	283	8	.	.	PUNCT
iogr-1312	284	1	journal	journal	PROPN
iogr-1312	284	2	of	of	ADP
iogr-1312	284	3	physics	physics	PROPN
iogr-1312	284	4	:	:	PUNCT
iogr-1312	284	5	conference	conference	NOUN
iogr-1312	284	6	series	series	PROPN
iogr-1312	284	7	739(1):012092	739(1):012092	PROPN
iogr-1312	284	8	.	.	PROPN
iogr-1312	284	9	smith	smith	PROPN
iogr-1312	284	10	,	,	PUNCT
iogr-1312	284	11	k.	k.	PROPN
iogr-1312	284	12	a.	a.	PROPN
iogr-1312	284	13	1999	1999	NUM
iogr-1312	284	14	.	.	PUNCT
iogr-1312	285	1	neural	neural	ADJ
iogr-1312	285	2	networks	network	NOUN
iogr-1312	285	3	for	for	ADP
iogr-1312	285	4	combinatorial	combinatorial	ADJ
iogr-1312	285	5	optimization	optimization	NOUN
iogr-1312	285	6	:	:	PUNCT
iogr-1312	285	7	a	a	DET
iogr-1312	285	8	review	review	NOUN
iogr-1312	285	9	of	of	ADP
iogr-1312	285	10	more	more	ADJ
iogr-1312	285	11	than	than	ADP
iogr-1312	285	12	a	a	PRON
iogr-1312	285	13	decade	decade	NOUN
iogr-1312	285	14	of	of	ADP
iogr-1312	285	15	research	research	NOUN
iogr-1312	285	16	.	.	PUNCT
iogr-1312	286	1	informs	inform	VERB
iogr-1312	286	2	journal	journal	NOUN
iogr-1312	286	3	on	on	ADP
iogr-1312	286	4	computing	compute	VERB
iogr-1312	286	5	11(1):15	11(1):15	PROPN
iogr-1312	286	6	-	-	SYM
iogr-1312	286	7	34	34	NUM
iogr-1312	286	8	.	.	PUNCT
iogr-1312	287	1	wills	will	NOUN
iogr-1312	287	2	,	,	PUNCT
iogr-1312	287	3	e.	e.	PROPN
iogr-1312	287	4	2019	2019	NUM
iogr-1312	287	5	.	.	PUNCT
iogr-1312	288	1	ai	ai	VERB
iogr-1312	288	2	vs.	vs.	ADP
iogr-1312	288	3	machine	machine	NOUN
iogr-1312	288	4	learning	learning	NOUN
iogr-1312	288	5	:	:	PUNCT
iogr-1312	288	6	the	the	DET
iogr-1312	288	7	devil	devil	NOUN
iogr-1312	288	8	is	be	AUX
iogr-1312	288	9	in	in	ADP
iogr-1312	288	10	the	the	DET
iogr-1312	288	11	details	detail	NOUN
iogr-1312	288	12	.	.	PUNCT
iogr-1312	289	1	machine	machine	NOUN
iogr-1312	289	2	design	design	VERB
iogr-1312	289	3	91(1):56	91(1):56	NUM
iogr-1312	289	4	-	-	SYM
iogr-1312	289	5	60	60	NUM
iogr-1312	289	6	.	.	PUNCT
iogr-1312	290	1	zhang	zhang	PROPN
iogr-1312	290	2	,	,	PUNCT
iogr-1312	290	3	l.	l.	PROPN
iogr-1312	290	4	2013	2013	NUM
iogr-1312	290	5	.	.	PUNCT
iogr-1312	291	1	aspects	aspect	NOUN
iogr-1312	291	2	of	of	ADP
iogr-1312	291	3	rock	rock	NOUN
iogr-1312	291	4	permeability	permeability	NOUN
iogr-1312	291	5	.	.	PUNCT
iogr-1312	292	1	front	front	ADJ
iogr-1312	292	2	.	.	PUNCT
iogr-1312	292	3	struct	struct	NOUN
iogr-1312	292	4	.	.	PUNCT
iogr-1312	293	1	civ	civ	NOUN
iogr-1312	293	2	.	.	PUNCT
iogr-1312	294	1	eng	eng	PROPN
iogr-1312	294	2	.	.	PUNCT
iogr-1312	295	1	7(1):102	7(1):102	NUM
iogr-1312	295	2	-	-	SYM
iogr-1312	295	3	116	116	NUM
iogr-1312	295	4	.	.	PUNCT
iogr-1312	296	1	zhang	zhang	PROPN
iogr-1312	296	2	,	,	PUNCT
iogr-1312	296	3	y.	y.	PROPN
iogr-1312	296	4	,	,	PUNCT
iogr-1312	296	5	lollback	lollback	VERB
iogr-1312	296	6	,	,	PUNCT
iogr-1312	296	7	p.	p.	NOUN
iogr-1312	296	8	,	,	PUNCT
iogr-1312	296	9	rojahn	rojahn	PROPN
iogr-1312	296	10	,	,	PUNCT
iogr-1312	296	11	j.	j.	PROPN
iogr-1312	296	12	,	,	PUNCT
iogr-1312	296	13	et	et	PROPN
iogr-1312	296	14	al	al	PROPN
iogr-1312	296	15	.	.	PROPN
iogr-1312	296	16	1996	1996	NUM
iogr-1312	296	17	.	.	PUNCT
iogr-1312	297	1	a	a	DET
iogr-1312	297	2	methodology	methodology	NOUN
iogr-1312	297	3	for	for	ADP
iogr-1312	297	4	estimating	estimate	VERB
iogr-1312	297	5	permeability	permeability	NOUN
iogr-1312	297	6	from	from	ADP
iogr-1312	297	7	well	well	ADV
iogr-1312	297	8	logs	log	NOUN
iogr-1312	297	9	in	in	ADP
iogr-1312	297	10	a	a	DET
iogr-1312	297	11	formation	formation	NOUN
iogr-1312	297	12	of	of	ADP
iogr-1312	297	13	complex	complex	ADJ
iogr-1312	297	14	lithology	lithology	NOUN
iogr-1312	297	15	.	.	PUNCT
iogr-1312	298	1	paper	paper	NOUN
iogr-1312	298	2	presented	present	VERB
iogr-1312	298	3	at	at	ADP
iogr-1312	298	4	the	the	DET
iogr-1312	298	5	spe	spe	PROPN
iogr-1312	298	6	asia	asia	PROPN
iogr-1312	298	7	pacific	pacific	PROPN
iogr-1312	298	8	oil	oil	NOUN
iogr-1312	298	9	and	and	CCONJ
iogr-1312	298	10	gas	gas	NOUN
iogr-1312	298	11	conference	conference	NOUN
iogr-1312	298	12	,	,	PUNCT
iogr-1312	298	13	28	28	NUM
iogr-1312	298	14	-	-	SYM
iogr-1312	298	15	31	31	NUM
iogr-1312	298	16	october	october	PROPN
iogr-1312	298	17	.	.	PUNCT
iogr-1312	299	1	spe-37025	spe-37025	PROPN
iogr-1312	299	2	-	-	PUNCT
iogr-1312	299	3	ms	ms	PROPN
iogr-1312	299	4	.	.	PROPN
iogr-1312	299	5	charlie	charlie	PROPN
iogr-1312	299	6	iyke	iyke	PROPN
iogr-1312	299	7	anyadiegwu	anyadiegwu	PROPN
iogr-1312	299	8	is	be	AUX
iogr-1312	299	9	a	a	DET
iogr-1312	299	10	senior	senior	ADJ
iogr-1312	299	11	lecturer	lecturer	NOUN
iogr-1312	299	12	in	in	ADP
iogr-1312	299	13	the	the	DET
iogr-1312	299	14	department	department	NOUN
iogr-1312	299	15	of	of	ADP
iogr-1312	299	16	petroleum	petroleum	NOUN
iogr-1312	299	17	engineering	engineering	NOUN
iogr-1312	299	18	,	,	PUNCT
iogr-1312	299	19	federal	federal	ADJ
iogr-1312	299	20	university	university	PROPN
iogr-1312	299	21	of	of	ADP
iogr-1312	299	22	technology	technology	PROPN
iogr-1312	299	23	owerri	owerri	NOUN
iogr-1312	299	24	where	where	SCONJ
iogr-1312	299	25	he	he	PRON
iogr-1312	299	26	has	have	AUX
iogr-1312	299	27	worked	work	VERB
iogr-1312	299	28	for	for	ADP
iogr-1312	299	29	over	over	ADP
iogr-1312	299	30	25	25	NUM
iogr-1312	299	31	years	year	NOUN
iogr-1312	299	32	.	.	PUNCT
iogr-1312	300	1	he	he	PRON
iogr-1312	300	2	holds	hold	VERB
iogr-1312	300	3	both	both	CCONJ
iogr-1312	300	4	b.eng	b.eng	PROPN
iogr-1312	300	5	and	and	CCONJ
iogr-1312	300	6	m.eng	m.eng	PROPN
iogr-1312	300	7	in	in	ADP
iogr-1312	300	8	petroleum	petroleum	NOUN
iogr-1312	300	9	engineering	engineering	NOUN
iogr-1312	300	10	and	and	CCONJ
iogr-1312	300	11	gas	gas	NOUN
iogr-1312	300	12	engineering	engineering	NOUN
iogr-1312	300	13	respectively	respectively	ADV
iogr-1312	300	14	from	from	ADP
iogr-1312	300	15	the	the	DET
iogr-1312	300	16	university	university	NOUN
iogr-1312	300	17	of	of	ADP
iogr-1312	300	18	portharcourt	portharcourt	PROPN
iogr-1312	300	19	,	,	PUNCT
iogr-1312	300	20	rivers	river	NOUN
iogr-1312	300	21	state	state	PROPN
iogr-1312	300	22	,	,	PUNCT
iogr-1312	300	23	nigeria	nigeria	PROPN
iogr-1312	300	24	,	,	PUNCT
iogr-1312	300	25	and	and	CCONJ
iogr-1312	300	26	ph.d	ph.d	PROPN
iogr-1312	300	27	.	.	PROPN
iogr-1312	300	28	degree	degree	NOUN
iogr-1312	300	29	in	in	ADP
iogr-1312	300	30	petroleum	petroleum	NOUN
iogr-1312	300	31	engineering	engineering	NOUN
iogr-1312	300	32	from	from	ADP
iogr-1312	300	33	the	the	DET
iogr-1312	300	34	federal	federal	ADJ
iogr-1312	300	35	university	university	PROPN
iogr-1312	300	36	of	of	ADP
iogr-1312	300	37	technology	technology	PROPN
iogr-1312	300	38	owerri	owerri	PROPN
iogr-1312	300	39	,	,	PUNCT
iogr-1312	300	40	imo	imo	PROPN
iogr-1312	300	41	state	state	PROPN
iogr-1312	300	42	,	,	PUNCT
iogr-1312	300	43	nigeria	nigeria	PROPN
iogr-1312	300	44	.	.	PUNCT
iogr-1312	301	1	his	his	PRON
iogr-1312	301	2	research	research	NOUN
iogr-1312	301	3	interests	interest	NOUN
iogr-1312	301	4	are	be	AUX
iogr-1312	301	5	in	in	ADP
iogr-1312	301	6	oil	oil	NOUN
iogr-1312	301	7	and	and	CCONJ
iogr-1312	301	8	gas	gas	NOUN
iogr-1312	301	9	production	production	NOUN
iogr-1312	301	10	and	and	CCONJ
iogr-1312	301	11	processing	processing	NOUN
iogr-1312	301	12	from	from	ADP
iogr-1312	301	13	fossil	fossil	NOUN
iogr-1312	301	14	fuel	fuel	NOUN
iogr-1312	301	15	and	and	CCONJ
iogr-1312	301	16	non	non	ADJ
iogr-1312	301	17	-	-	ADJ
iogr-1312	301	18	fossil	fossil	ADJ
iogr-1312	301	19	fuel	fuel	NOUN
iogr-1312	301	20	(	(	PUNCT
iogr-1312	301	21	biomass	biomass	NOUN
iogr-1312	301	22	)	)	PUNCT
iogr-1312	301	23	,	,	PUNCT
iogr-1312	301	24	health	health	NOUN
iogr-1312	301	25	,	,	PUNCT
iogr-1312	301	26	safety	safety	NOUN
iogr-1312	301	27	and	and	CCONJ
iogr-1312	301	28	environment	environment	NOUN
iogr-1312	301	29	(	(	PUNCT
iogr-1312	301	30	hse	hse	PROPN
iogr-1312	301	31	)	)	PUNCT
iogr-1312	301	32	,	,	PUNCT
iogr-1312	301	33	oil	oil	NOUN
iogr-1312	301	34	spillage	spillage	NOUN
iogr-1312	301	35	detection	detection	NOUN
iogr-1312	301	36	,	,	PUNCT
iogr-1312	301	37	control	control	NOUN
iogr-1312	301	38	and	and	CCONJ
iogr-1312	301	39	prevention	prevention	NOUN
iogr-1312	301	40	.	.	PUNCT
iogr-1312	302	1	christian	christian	PROPN
iogr-1312	302	2	emelu	emelu	PROPN
iogr-1312	302	3	okalla	okalla	PROPN
iogr-1312	302	4	is	be	AUX
iogr-1312	302	5	a	a	DET
iogr-1312	302	6	technologist	technologist	NOUN
iogr-1312	302	7	and	and	CCONJ
iogr-1312	302	8	researcher	researcher	NOUN
iogr-1312	302	9	at	at	ADP
iogr-1312	302	10	the	the	DET
iogr-1312	302	11	department	department	NOUN
iogr-1312	302	12	of	of	ADP
iogr-1312	302	13	petroleum	petroleum	NOUN
iogr-1312	302	14	engineering	engineering	NOUN
iogr-1312	302	15	,	,	PUNCT
iogr-1312	302	16	federal	federal	ADJ
iogr-1312	302	17	university	university	PROPN
iogr-1312	302	18	of	of	ADP
iogr-1312	302	19	technology	technology	PROPN
iogr-1312	302	20	owerri	owerri	PROPN
iogr-1312	302	21	.	.	PUNCT
iogr-1312	303	1	he	he	PRON
iogr-1312	303	2	holds	hold	VERB
iogr-1312	303	3	both	both	CCONJ
iogr-1312	303	4	b.eng	b.eng	PROPN
iogr-1312	303	5	and	and	CCONJ
iogr-1312	303	6	m.eng	m.eng	PROPN
iogr-1312	303	7	in	in	ADP
iogr-1312	303	8	petroleum	petroleum	NOUN
iogr-1312	303	9	engineering	engineering	NOUN
iogr-1312	303	10	from	from	ADP
iogr-1312	303	11	the	the	DET
iogr-1312	303	12	federal	federal	ADJ
iogr-1312	303	13	university	university	PROPN
iogr-1312	303	14	of	of	ADP
iogr-1312	303	15	technology	technology	PROPN
iogr-1312	303	16	owerri	owerri	PROPN
iogr-1312	303	17	,	,	PUNCT
iogr-1312	303	18	imo	imo	PROPN
iogr-1312	303	19	state	state	PROPN
iogr-1312	303	20	,	,	PUNCT
iogr-1312	303	21	nigeria	nigeria	PROPN
iogr-1312	303	22	.	.	PUNCT
iogr-1312	304	1	his	his	PRON
iogr-1312	304	2	research	research	NOUN
iogr-1312	304	3	interests	interest	NOUN
iogr-1312	304	4	are	be	AUX
iogr-1312	304	5	in	in	ADP
iogr-1312	304	6	drilling	drilling	NOUN
iogr-1312	304	7	,	,	PUNCT
iogr-1312	304	8	production	production	NOUN
iogr-1312	304	9	,	,	PUNCT
iogr-1312	304	10	natural	natural	ADJ
iogr-1312	304	11	gas	gas	NOUN
iogr-1312	304	12	,	,	PUNCT
iogr-1312	304	13	reservoir	reservoir	PROPN
iogr-1312	304	14	simulation	simulation	PROPN
iogr-1312	304	15	.	.	PUNCT
iogr-1312	305	1	anthony	anthony	PROPN
iogr-1312	305	2	kerunwa	kerunwa	PROPN
iogr-1312	305	3	is	be	AUX
iogr-1312	305	4	a	a	DET
iogr-1312	305	5	senior	senior	ADJ
iogr-1312	305	6	lecturer	lecturer	NOUN
iogr-1312	305	7	in	in	ADP
iogr-1312	305	8	the	the	DET
iogr-1312	305	9	department	department	NOUN
iogr-1312	305	10	of	of	ADP
iogr-1312	305	11	petroleum	petroleum	NOUN
iogr-1312	305	12	engineering	engineering	NOUN
iogr-1312	305	13	,	,	PUNCT
iogr-1312	305	14	federal	federal	ADJ
iogr-1312	305	15	university	university	PROPN
iogr-1312	305	16	of	of	ADP
iogr-1312	305	17	technology	technology	PROPN
iogr-1312	305	18	owerri	owerri	PROPN
iogr-1312	305	19	.	.	PUNCT
iogr-1312	306	1	he	he	PRON
iogr-1312	306	2	holds	hold	VERB
iogr-1312	306	3	both	both	CCONJ
iogr-1312	306	4	b.eng	b.eng	PROPN
iogr-1312	306	5	and	and	CCONJ
iogr-1312	306	6	m.eng	m.eng	PROPN
iogr-1312	306	7	in	in	ADP
iogr-1312	306	8	petroleum	petroleum	NOUN
iogr-1312	306	9	engineering	engineering	NOUN
iogr-1312	306	10	from	from	ADP
iogr-1312	306	11	the	the	DET
iogr-1312	306	12	federal	federal	ADJ
iogr-1312	306	13	university	university	PROPN
iogr-1312	306	14	of	of	ADP
iogr-1312	306	15	technology	technology	PROPN
iogr-1312	306	16	owerri	owerri	PROPN
iogr-1312	306	17	,	,	PUNCT
iogr-1312	306	18	imo	imo	PROPN
iogr-1312	306	19	state	state	PROPN
iogr-1312	306	20	,	,	PUNCT
iogr-1312	306	21	nigeria	nigeria	PROPN
iogr-1312	306	22	,	,	PUNCT
iogr-1312	306	23	and	and	CCONJ
iogr-1312	306	24	ph.d	ph.d	PROPN
iogr-1312	306	25	degree	degree	NOUN
iogr-1312	306	26	in	in	ADP
iogr-1312	306	27	petroleum	petroleum	NOUN
iogr-1312	306	28	engineering	engineering	NOUN
iogr-1312	306	29	from	from	ADP
iogr-1312	306	30	centre	centre	NOUN
iogr-1312	306	31	for	for	ADP
iogr-1312	306	32	oil	oil	NOUN
iogr-1312	306	33	field	field	NOUN
iogr-1312	306	34	chemical	chemical	NOUN
iogr-1312	306	35	research	research	NOUN
iogr-1312	306	36	(	(	PUNCT
iogr-1312	306	37	ips	ips	PROPN
iogr-1312	306	38	)	)	PUNCT
iogr-1312	306	39	.	.	PUNCT
iogr-1312	307	1	his	his	PRON
iogr-1312	307	2	research	research	NOUN
iogr-1312	307	3	interests	interest	NOUN
iogr-1312	307	4	are	be	AUX
iogr-1312	307	5	in	in	ADP
iogr-1312	307	6	drilling	drilling	NOUN
iogr-1312	307	7	engineering	engineering	NOUN
iogr-1312	307	8	,	,	PUNCT
iogr-1312	307	9	production	production	NOUN
iogr-1312	307	10	engineering	engineering	NOUN
iogr-1312	307	11	,	,	PUNCT
iogr-1312	307	12	reservoir	reservoir	NOUN
iogr-1312	307	13	engineering	engineering	NOUN
iogr-1312	307	14	,	,	PUNCT
iogr-1312	307	15	and	and	CCONJ
iogr-1312	307	16	petroleum	petroleum	NOUN
iogr-1312	307	17	economics	economic	NOUN
iogr-1312	307	18	.	.	PUNCT
iogr-1312	308	1	solomon	solomon	PROPN
iogr-1312	308	2	chukwuebuka	chukwuebuka	PROPN
iogr-1312	308	3	igbo	igbo	PROPN
iogr-1312	308	4	is	be	AUX
iogr-1312	308	5	a	a	DET
iogr-1312	308	6	recent	recent	ADJ
iogr-1312	308	7	graduate	graduate	NOUN
iogr-1312	308	8	of	of	ADP
iogr-1312	308	9	the	the	DET
iogr-1312	308	10	department	department	NOUN
iogr-1312	308	11	of	of	ADP
iogr-1312	308	12	petroleum	petroleum	NOUN
iogr-1312	308	13	engineering	engineering	NOUN
iogr-1312	308	14	,	,	PUNCT
iogr-1312	308	15	federal	federal	ADJ
iogr-1312	308	16	university	university	PROPN
iogr-1312	308	17	of	of	ADP
iogr-1312	308	18	technology	technology	PROPN
iogr-1312	308	19	owerri	owerri	PROPN
iogr-1312	308	20	.	.	PUNCT
iogr-1312	309	1	he	he	PRON
iogr-1312	309	2	holds	hold	VERB
iogr-1312	309	3	a	a	DET
iogr-1312	309	4	b.eng	b.eng	NOUN
iogr-1312	309	5	in	in	ADP
iogr-1312	309	6	petroleum	petroleum	NOUN
iogr-1312	309	7	engineering	engineering	NOUN
iogr-1312	309	8	from	from	ADP
iogr-1312	309	9	the	the	DET
iogr-1312	309	10	federal	federal	ADJ
iogr-1312	309	11	university	university	PROPN
iogr-1312	309	12	of	of	ADP
iogr-1312	309	13	technology	technology	PROPN
iogr-1312	309	14	owerri	owerri	PROPN
iogr-1312	309	15	,	,	PUNCT
iogr-1312	309	16	imo	imo	PROPN
iogr-1312	309	17	state	state	PROPN
iogr-1312	309	18	,	,	PUNCT
iogr-1312	309	19	nigeria	nigeria	PROPN
iogr-1312	309	20	.	.	PUNCT
iogr-1312	310	1	his	his	PRON
iogr-1312	310	2	research	research	NOUN
iogr-1312	310	3	interests	interest	NOUN
iogr-1312	310	4	are	be	AUX
iogr-1312	310	5	in	in	ADP
iogr-1312	310	6	drilling	drilling	NOUN
iogr-1312	310	7	,	,	PUNCT
iogr-1312	310	8	production	production	NOUN
iogr-1312	310	9	,	,	PUNCT
iogr-1312	310	10	and	and	CCONJ
iogr-1312	310	11	reservoir	reservoir	PROPN
iogr-1312	310	12	.	.	PUNCT
iogr-1312	311	1	improved	improve	VERB
iogr-1312	311	2	oil	oil	NOUN
iogr-1312	311	3	and	and	CCONJ
iogr-1312	311	4	gas	gas	NOUN
iogr-1312	311	5	recovery	recovery	NOUN
iogr-1312	311	6	14	14	NUM
iogr-1312	311	7	joshua	joshua	PROPN
iogr-1312	311	8	abiodun	abiodun	PROPN
iogr-1312	311	9	abah	abah	PROPN
iogr-1312	311	10	is	be	AUX
iogr-1312	311	11	a	a	DET
iogr-1312	311	12	recent	recent	ADJ
iogr-1312	311	13	graduate	graduate	NOUN
iogr-1312	311	14	of	of	ADP
iogr-1312	311	15	the	the	DET
iogr-1312	311	16	department	department	NOUN
iogr-1312	311	17	of	of	ADP
iogr-1312	311	18	petroleum	petroleum	NOUN
iogr-1312	311	19	engineering	engineering	NOUN
iogr-1312	311	20	,	,	PUNCT
iogr-1312	311	21	federal	federal	ADJ
iogr-1312	311	22	university	university	PROPN
iogr-1312	311	23	of	of	ADP
iogr-1312	311	24	technology	technology	PROPN
iogr-1312	311	25	owerri	owerri	PROPN
iogr-1312	311	26	.	.	PUNCT
iogr-1312	312	1	he	he	PRON
iogr-1312	312	2	holds	hold	VERB
iogr-1312	312	3	a	a	DET
iogr-1312	312	4	b.eng	b.eng	NOUN
iogr-1312	312	5	in	in	ADP
iogr-1312	312	6	petroleum	petroleum	NOUN
iogr-1312	312	7	engineering	engineering	NOUN
iogr-1312	312	8	from	from	ADP
iogr-1312	312	9	the	the	DET
iogr-1312	312	10	federal	federal	ADJ
iogr-1312	312	11	university	university	PROPN
iogr-1312	312	12	of	of	ADP
iogr-1312	312	13	technology	technology	PROPN
iogr-1312	312	14	owerri	owerri	PROPN
iogr-1312	312	15	,	,	PUNCT
iogr-1312	312	16	imo	imo	PROPN
iogr-1312	312	17	state	state	PROPN
iogr-1312	312	18	,	,	PUNCT
iogr-1312	312	19	nigeria	nigeria	PROPN
iogr-1312	312	20	.	.	PUNCT
iogr-1312	313	1	his	his	PRON
iogr-1312	313	2	research	research	NOUN
iogr-1312	313	3	interests	interest	NOUN
iogr-1312	313	4	are	be	AUX
iogr-1312	313	5	in	in	ADP
iogr-1312	313	6	drilling	drilling	NOUN
iogr-1312	313	7	,	,	PUNCT
iogr-1312	313	8	production	production	NOUN
iogr-1312	313	9	,	,	PUNCT
iogr-1312	313	10	and	and	CCONJ
iogr-1312	313	11	reservoir	reservoir	NOUN
iogr-1312	313	12	.	.	PUNCT