id	sid	tid	token	lemma	pos
gc-790	1	1	2017	2017	NUM
gc-790	1	2	|	|	ADV
gc-790	1	3	70/2	70/2	NUM
gc-790	2	1	|	|	NOUN
gc-790	2	2	105–114	105–114	NUM
gc-790	2	3	|	|	ADV
gc-790	2	4	13	13	NUM
gc-790	2	5	figs	fig	NOUN
gc-790	2	6	.	.	PUNCT
gc-790	3	1	|	|	ADV
gc-790	3	2	www.geologia-croatica.hr	www.geologia-croatica.hr	VERB
gc-790	3	3	journal	journal	NOUN
gc-790	3	4	of	of	ADP
gc-790	3	5	the	the	DET
gc-790	3	6	croatian	croatian	ADJ
gc-790	3	7	geological	geological	ADJ
gc-790	3	8	survey	survey	NOUN
gc-790	3	9	and	and	CCONJ
gc-790	3	10	the	the	DET
gc-790	3	11	croatian	croatian	ADJ
gc-790	3	12	geological	geological	ADJ
gc-790	3	13	society	society	NOUN
gc-790	3	14	1	1	NUM
gc-790	3	15	.	.	PUNCT
gc-790	4	1	introduction	introduction	NOUN
gc-790	4	2	application	application	NOUN
gc-790	4	3	of	of	ADP
gc-790	4	4	mathematics	mathematic	NOUN
gc-790	4	5	in	in	ADP
gc-790	4	6	geology	geology	NOUN
gc-790	4	7	is	be	AUX
gc-790	4	8	relatively	relatively	ADV
gc-790	4	9	new	new	ADJ
gc-790	4	10	approach	approach	NOUN
gc-790	4	11	in	in	ADP
gc-790	4	12	the	the	DET
gc-790	4	13	interpretation	interpretation	NOUN
gc-790	4	14	of	of	ADP
gc-790	4	15	subsurface	subsurface	NOUN
gc-790	4	16	geology	geology	NOUN
gc-790	4	17	.	.	PUNCT
gc-790	5	1	geostatistics	geostatistic	NOUN
gc-790	5	2	,	,	PUNCT
gc-790	5	3	as	as	ADP
gc-790	5	4	a	a	DET
gc-790	5	5	part	part	NOUN
gc-790	5	6	of	of	ADP
gc-790	5	7	geomathematics	geomathematic	NOUN
gc-790	5	8	began	begin	VERB
gc-790	5	9	its	its	PRON
gc-790	5	10	development	development	NOUN
gc-790	5	11	in	in	ADP
gc-790	5	12	the	the	DET
gc-790	5	13	second	second	ADJ
gc-790	5	14	half	half	NOUN
gc-790	5	15	of	of	ADP
gc-790	5	16	the	the	DET
gc-790	5	17	last	last	ADJ
gc-790	5	18	century	century	NOUN
gc-790	5	19	.	.	PUNCT
gc-790	6	1	two	two	NUM
gc-790	6	2	great	great	ADJ
gc-790	6	3	scientists	scientist	NOUN
gc-790	6	4	are	be	AUX
gc-790	6	5	the	the	DET
gc-790	6	6	founders	founder	NOUN
gc-790	6	7	of	of	ADP
gc-790	6	8	the	the	DET
gc-790	6	9	kriging	krige	VERB
gc-790	6	10	method	method	NOUN
gc-790	6	11	:	:	PUNCT
gc-790	6	12	prof	prof	PROPN
gc-790	6	13	.	.	PUNCT
gc-790	7	1	dr	dr	PROPN
gc-790	7	2	.	.	PROPN
gc-790	7	3	daniel	daniel	PROPN
gc-790	7	4	krige	krige	PROPN
gc-790	7	5	and	and	CCONJ
gc-790	7	6	prof	prof	PROPN
gc-790	7	7	.	.	PUNCT
gc-790	8	1	dr	dr	PROPN
gc-790	8	2	.	.	PROPN
gc-790	8	3	george	george	PROPN
gc-790	8	4	matheron	matheron	PROPN
gc-790	8	5	.	.	PUNCT
gc-790	9	1	the	the	DET
gc-790	9	2	kriging	krige	VERB
gc-790	9	3	method	method	NOUN
gc-790	9	4	is	be	AUX
gc-790	9	5	a	a	DET
gc-790	9	6	mathematically	mathematically	ADV
gc-790	9	7	advanced	advanced	ADJ
gc-790	9	8	interpolation	interpolation	NOUN
gc-790	9	9	method	method	NOUN
gc-790	9	10	,	,	PUNCT
gc-790	9	11	which	which	PRON
gc-790	9	12	estimates	estimate	VERB
gc-790	9	13	the	the	DET
gc-790	9	14	value	value	NOUN
gc-790	9	15	of	of	ADP
gc-790	9	16	the	the	DET
gc-790	9	17	variable	variable	NOUN
gc-790	9	18	in	in	ADP
gc-790	9	19	the	the	DET
gc-790	9	20	grid	grid	NOUN
gc-790	9	21	.	.	PUNCT
gc-790	10	1	this	this	DET
gc-790	10	2	method	method	NOUN
gc-790	10	3	is	be	AUX
gc-790	10	4	very	very	ADV
gc-790	10	5	well	well	ADV
gc-790	10	6	described	describe	VERB
gc-790	10	7	in	in	ADP
gc-790	10	8	krige	krige	PROPN
gc-790	10	9	(	(	PUNCT
gc-790	10	10	1951	1951	NUM
gc-790	10	11	)	)	PUNCT
gc-790	10	12	and	and	CCONJ
gc-790	10	13	matheron	matheron	NOUN
gc-790	10	14	(	(	PUNCT
gc-790	10	15	1965	1965	NUM
gc-790	10	16	)	)	PUNCT
gc-790	10	17	.	.	PUNCT
gc-790	11	1	common	common	ADJ
gc-790	11	2	application	application	NOUN
gc-790	11	3	,	,	PUNCT
gc-790	11	4	as	as	ADV
gc-790	11	5	well	well	ADV
gc-790	11	6	as	as	ADP
gc-790	11	7	the	the	DET
gc-790	11	8	intensive	intensive	ADJ
gc-790	11	9	development	development	NOUN
gc-790	11	10	geostatistical	geostatistical	ADJ
gc-790	11	11	methods	method	NOUN
gc-790	11	12	paralleled	parallel	VERB
gc-790	11	13	the	the	DET
gc-790	11	14	software	software	NOUN
gc-790	11	15	development	development	NOUN
gc-790	11	16	and	and	CCONJ
gc-790	11	17	the	the	DET
gc-790	11	18	appropriate	appropriate	ADJ
gc-790	11	19	it	it	PRON
gc-790	11	20	infrastructure	infrastructure	NOUN
gc-790	11	21	altogether	altogether	ADV
gc-790	11	22	.	.	PUNCT
gc-790	12	1	geostatistical	geostatistical	ADJ
gc-790	12	2	methods	method	NOUN
gc-790	12	3	can	can	AUX
gc-790	12	4	be	be	AUX
gc-790	12	5	divided	divide	VERB
gc-790	12	6	into	into	ADP
gc-790	12	7	deterministic	deterministic	ADJ
gc-790	12	8	and	and	CCONJ
gc-790	12	9	stochastic	stochastic	ADJ
gc-790	12	10	methods	method	NOUN
gc-790	12	11	.	.	PUNCT
gc-790	13	1	in	in	ADP
gc-790	13	2	deterministic	deterministic	ADJ
gc-790	13	3	methods	method	NOUN
gc-790	13	4	,	,	PUNCT
gc-790	13	5	all	all	DET
gc-790	13	6	the	the	DET
gc-790	13	7	conditions	condition	NOUN
gc-790	13	8	which	which	PRON
gc-790	13	9	can	can	AUX
gc-790	13	10	influence	influence	VERB
gc-790	13	11	the	the	DET
gc-790	13	12	estimation	estimation	NOUN
gc-790	13	13	have	have	VERB
gc-790	13	14	to	to	PART
gc-790	13	15	be	be	AUX
gc-790	13	16	completely	completely	ADV
gc-790	13	17	known	know	VERB
gc-790	13	18	.	.	PUNCT
gc-790	14	1	deterministic	deterministic	ADJ
gc-790	14	2	results	result	NOUN
gc-790	14	3	can	can	AUX
gc-790	14	4	be	be	AUX
gc-790	14	5	unambiguously	unambiguously	ADV
gc-790	14	6	described	describe	VERB
gc-790	14	7	by	by	ADP
gc-790	14	8	the	the	DET
gc-790	14	9	completely	completely	ADV
gc-790	14	10	known	know	VERB
gc-790	14	11	finite	finite	ADJ
gc-790	14	12	conditions	condition	NOUN
gc-790	14	13	,	,	PUNCT
gc-790	14	14	so	so	ADV
gc-790	14	15	deterministic	deterministic	ADJ
gc-790	14	16	ana­	ana­	NOUN
gc-790	14	17	lysis	lysis	NOUN
gc-790	14	18	can	can	AUX
gc-790	14	19	only	only	ADV
gc-790	14	20	offer	offer	VERB
gc-790	14	21	one	one	NUM
gc-790	14	22	solution	solution	NOUN
gc-790	14	23	.	.	PUNCT
gc-790	15	1	it	it	PRON
gc-790	15	2	is	be	AUX
gc-790	15	3	clear	clear	ADJ
gc-790	15	4	that	that	SCONJ
gc-790	15	5	the	the	DET
gc-790	15	6	true	true	ADJ
gc-790	15	7	geological	geological	ADJ
gc-790	15	8	model	model	NOUN
gc-790	15	9	in	in	ADP
gc-790	15	10	the	the	DET
gc-790	15	11	subsurface	subsurface	NOUN
gc-790	15	12	is	be	AUX
gc-790	15	13	singular	singular	ADJ
gc-790	15	14	,	,	PUNCT
gc-790	15	15	but	but	CCONJ
gc-790	15	16	since	since	SCONJ
gc-790	15	17	the	the	DET
gc-790	15	18	description	description	NOUN
gc-790	15	19	of	of	ADP
gc-790	15	20	the	the	DET
gc-790	15	21	subsurface	subsurface	NOUN
gc-790	15	22	is	be	AUX
gc-790	15	23	based	base	VERB
gc-790	15	24	on	on	ADP
gc-790	15	25	well	well	INTJ
gc-790	15	26	data	datum	NOUN
gc-790	15	27	(	(	PUNCT
gc-790	15	28	point	point	NOUN
gc-790	15	29	data	datum	NOUN
gc-790	15	30	)	)	PUNCT
gc-790	15	31	,	,	PUNCT
gc-790	15	32	it	it	PRON
gc-790	15	33	is	be	AUX
gc-790	15	34	not	not	PART
gc-790	15	35	possible	possible	ADJ
gc-790	15	36	to	to	PART
gc-790	15	37	be	be	AUX
gc-790	15	38	certain	certain	ADJ
gc-790	15	39	that	that	SCONJ
gc-790	15	40	the	the	DET
gc-790	15	41	solution	solution	NOUN
gc-790	15	42	obtained	obtain	VERB
gc-790	15	43	with	with	ADP
gc-790	15	44	geostatistical	geostatistical	ADJ
gc-790	15	45	methods	method	NOUN
gc-790	15	46	is	be	AUX
gc-790	15	47	the	the	DET
gc-790	15	48	correct	correct	ADJ
gc-790	15	49	one	one	NUM
gc-790	15	50	.	.	PUNCT
gc-790	16	1	this	this	PRON
gc-790	16	2	is	be	AUX
gc-790	16	3	why	why	SCONJ
gc-790	16	4	all	all	DET
gc-790	16	5	geostatistical	geostatistical	ADJ
gc-790	16	6	methods	method	NOUN
gc-790	16	7	contain	contain	VERB
gc-790	16	8	some	some	DET
gc-790	16	9	uncertainty	uncertainty	NOUN
gc-790	16	10	;	;	PUNCT
gc-790	16	11	they	they	PRON
gc-790	16	12	are	be	AUX
gc-790	16	13	a	a	DET
gc-790	16	14	way	way	NOUN
gc-790	16	15	of	of	ADP
gc-790	16	16	estimating	estimate	VERB
gc-790	16	17	the	the	DET
gc-790	16	18	subsurface	subsurface	NOUN
gc-790	16	19	conditions	condition	NOUN
gc-790	16	20	and	and	CCONJ
gc-790	16	21	they	they	PRON
gc-790	16	22	can	can	AUX
gc-790	16	23	provide	provide	VERB
gc-790	16	24	only	only	ADV
gc-790	16	25	the	the	DET
gc-790	16	26	most	most	ADV
gc-790	16	27	probable	probable	ADJ
gc-790	16	28	solution	solution	NOUN
gc-790	16	29	,	,	PUNCT
gc-790	16	30	in	in	ADP
gc-790	16	31	other	other	ADJ
gc-790	16	32	words	word	NOUN
gc-790	16	33	the	the	DET
gc-790	16	34	model	model	NOUN
gc-790	16	35	which	which	PRON
gc-790	16	36	is	be	AUX
gc-790	16	37	the	the	DET
gc-790	16	38	closest	close	ADJ
gc-790	16	39	to	to	ADP
gc-790	16	40	the	the	DET
gc-790	16	41	real	real	ADJ
gc-790	16	42	conditions	condition	NOUN
gc-790	16	43	.	.	PUNCT
gc-790	17	1	in	in	ADP
gc-790	17	2	reservoir	reservoir	NOUN
gc-790	17	3	characterization	characterization	NOUN
gc-790	17	4	,	,	PUNCT
gc-790	17	5	petrophysical	petrophysical	ADJ
gc-790	17	6	modelling	modelling	NOUN
gc-790	17	7	,	,	PUNCT
gc-790	17	8	especially	especially	ADV
gc-790	17	9	the	the	DET
gc-790	17	10	porosity	porosity	NOUN
gc-790	17	11	modelling	modelling	NOUN
gc-790	17	12	is	be	AUX
gc-790	17	13	important	important	ADJ
gc-790	17	14	for	for	ADP
gc-790	17	15	getting	get	VERB
gc-790	17	16	insight	insight	NOUN
gc-790	17	17	into	into	ADP
gc-790	17	18	the	the	DET
gc-790	17	19	spatial	spatial	ADJ
gc-790	17	20	variability	variability	NOUN
gc-790	17	21	of	of	ADP
gc-790	17	22	different	different	ADJ
gc-790	17	23	properties	property	NOUN
gc-790	17	24	.	.	PUNCT
gc-790	18	1	in	in	ADP
gc-790	18	2	the	the	DET
gc-790	18	3	case	case	NOUN
gc-790	18	4	that	that	SCONJ
gc-790	18	5	porosity	porosity	NOUN
gc-790	18	6	is	be	AUX
gc-790	18	7	mostly	mostly	ADV
gc-790	18	8	connected	connect	VERB
gc-790	18	9	with	with	ADP
gc-790	18	10	the	the	DET
gc-790	18	11	depositional	depositional	ADJ
gc-790	18	12	environment	environment	NOUN
gc-790	18	13	of	of	ADP
gc-790	18	14	the	the	DET
gc-790	18	15	reservoir	reservoir	NOUN
gc-790	18	16	rocks	rock	NOUN
gc-790	18	17	in	in	ADP
gc-790	18	18	the	the	DET
gc-790	18	19	study	study	NOUN
gc-790	18	20	area	area	NOUN
gc-790	18	21	,	,	PUNCT
gc-790	18	22	this	this	PRON
gc-790	18	23	may	may	AUX
gc-790	18	24	pave	pave	VERB
gc-790	18	25	the	the	DET
gc-790	18	26	way	way	NOUN
gc-790	18	27	for	for	ADP
gc-790	18	28	application	application	NOUN
gc-790	18	29	of	of	ADP
gc-790	18	30	deterministic	deterministic	ADJ
gc-790	18	31	and	and	CCONJ
gc-790	18	32	stochastic	stochastic	ADJ
gc-790	18	33	geostatistical	geostatistical	ADJ
gc-790	18	34	methods	method	NOUN
gc-790	18	35	in	in	ADP
gc-790	18	36	petrophysical	petrophysical	ADJ
gc-790	18	37	modelling	modelling	NOUN
gc-790	18	38	–	–	PUNCT
gc-790	18	39	a	a	DET
gc-790	18	40	case	case	NOUN
gc-790	18	41	study	study	NOUN
gc-790	18	42	of	of	ADP
gc-790	18	43	upper	upper	ADJ
gc-790	18	44	pannonian	pannonian	NOUN
gc-790	18	45	reservoir	reservoir	NOUN
gc-790	18	46	in	in	ADP
gc-790	18	47	sava	sava	PROPN
gc-790	18	48	depression	depression	PROPN
gc-790	18	49	kristina	kristina	PROPN
gc-790	18	50	novak	novak	PROPN
gc-790	18	51	zelenika1	zelenika1	PROPN
gc-790	18	52	,	,	PUNCT
gc-790	18	53	renata	renata	PROPN
gc-790	18	54	vidaček1	vidaček1	PROPN
gc-790	18	55	,	,	PUNCT
gc-790	18	56	tomislav	tomislav	PROPN
gc-790	18	57	ilijaš1	ilijaš1	PROPN
gc-790	18	58	and	and	CCONJ
gc-790	18	59	petar	petar	PROPN
gc-790	18	60	pavić1	pavić1	PROPN
gc-790	18	61	1	1	NUM
gc-790	18	62	inaoil	inaoil	PROPN
gc-790	18	63	industry	industry	PROPN
gc-790	18	64	plc	plc	PROPN
gc-790	18	65	.	.	PUNCT
gc-790	18	66	exploration	exploration	NOUN
gc-790	18	67	and	and	CCONJ
gc-790	18	68	production	production	NOUN
gc-790	18	69	of	of	ADP
gc-790	18	70	oil	oil	NOUN
gc-790	18	71	and	and	CCONJ
gc-790	18	72	gas	gas	NOUN
gc-790	18	73	,	,	PUNCT
gc-790	18	74	sector	sector	NOUN
gc-790	18	75	for	for	ADP
gc-790	18	76	geology	geology	NOUN
gc-790	18	77	and	and	CCONJ
gc-790	18	78	reservoir	reservoir	PROPN
gc-790	18	79	management	management	NOUN
gc-790	18	80	,	,	PUNCT
gc-790	18	81	avenija	avenija	NOUN
gc-790	18	82	većeslava	većeslava	NOUN
gc-790	18	83	holjevca	holjevca	VERB
gc-790	18	84	10	10	NUM
gc-790	18	85	,	,	PUNCT
gc-790	18	86	10020	10020	NUM
gc-790	18	87	zagreb	zagreb	NOUN
gc-790	18	88	,	,	PUNCT
gc-790	18	89	e	e	NOUN
gc-790	18	90	-	-	NOUN
gc-790	18	91	mails	mail	NOUN
gc-790	18	92	:	:	PUNCT
gc-790	19	1	kristina.novakzelenika@ina.hr	kristina.novakzelenika@ina.hr	X
gc-790	19	2	;	;	PUNCT
gc-790	19	3	renata.vidacek@ina.hr	renata.vidacek@ina.hr	PROPN
gc-790	19	4	;	;	PUNCT
gc-790	19	5	petar.pavic@ina.hr	petar.pavic@ina.hr	ADJ
gc-790	19	6	doi	doi	NOUN
gc-790	19	7	:	:	PUNCT
gc-790	19	8	10.4154	10.4154	NUM
gc-790	19	9	/	/	SYM
gc-790	19	10	gc.2017.10	gc.2017.10	ADJ
gc-790	19	11	abstract	abstract	ADJ
gc-790	19	12	deterministic	deterministic	ADJ
gc-790	19	13	methods	method	NOUN
gc-790	19	14	are	be	AUX
gc-790	19	15	still	still	ADV
gc-790	19	16	widely	widely	ADV
gc-790	19	17	used	use	VERB
gc-790	19	18	for	for	ADP
gc-790	19	19	reservoir	reservoir	NOUN
gc-790	19	20	characterization	characterization	NOUN
gc-790	19	21	and	and	CCONJ
gc-790	19	22	modelling	modelling	NOUN
gc-790	19	23	.	.	PUNCT
gc-790	20	1	the	the	DET
gc-790	20	2	result	result	NOUN
gc-790	20	3	of	of	ADP
gc-790	20	4	such	such	ADJ
gc-790	20	5	methods	method	NOUN
gc-790	20	6	is	be	AUX
gc-790	20	7	only	only	ADV
gc-790	20	8	one	one	NUM
gc-790	20	9	solution	solution	NOUN
gc-790	20	10	.	.	PUNCT
gc-790	21	1	it	it	PRON
gc-790	21	2	is	be	AUX
gc-790	21	3	clear	clear	ADJ
gc-790	21	4	that	that	SCONJ
gc-790	21	5	our	our	PRON
gc-790	21	6	knowledge	knowledge	NOUN
gc-790	21	7	about	about	ADP
gc-790	21	8	the	the	DET
gc-790	21	9	subsurface	subsurface	NOUN
gc-790	21	10	is	be	AUX
gc-790	21	11	uncertain	uncertain	ADJ
gc-790	21	12	.	.	PUNCT
gc-790	22	1	since	since	SCONJ
gc-790	22	2	stochastic	stochastic	ADJ
gc-790	22	3	methods	method	NOUN
gc-790	22	4	include	include	VERB
gc-790	22	5	uncertainty	uncertainty	NOUN
gc-790	22	6	in	in	ADP
gc-790	22	7	their	their	PRON
gc-790	22	8	calculations	calculation	NOUN
gc-790	22	9	and	and	CCONJ
gc-790	22	10	offer	offer	VERB
gc-790	22	11	more	more	ADJ
gc-790	22	12	than	than	ADP
gc-790	22	13	one	one	NUM
gc-790	22	14	solution	solution	NOUN
gc-790	22	15	sometimes	sometimes	ADV
gc-790	22	16	they	they	PRON
gc-790	22	17	are	be	AUX
gc-790	22	18	the	the	DET
gc-790	22	19	best	good	ADJ
gc-790	22	20	method	method	NOUN
gc-790	22	21	to	to	PART
gc-790	22	22	use	use	VERB
gc-790	22	23	.	.	PUNCT
gc-790	23	1	this	this	DET
gc-790	23	2	paper	paper	NOUN
gc-790	23	3	shows	show	VERB
gc-790	23	4	testing	testing	NOUN
gc-790	23	5	of	of	ADP
gc-790	23	6	the	the	DET
gc-790	23	7	deterministic	deterministic	ADJ
gc-790	23	8	(	(	PUNCT
gc-790	23	9	ordinary	ordinary	ADJ
gc-790	23	10	kriging	kriging	NOUN
gc-790	23	11	)	)	PUNCT
gc-790	23	12	and	and	CCONJ
gc-790	23	13	stochastic	stochastic	ADJ
gc-790	23	14	(	(	PUNCT
gc-790	23	15	sequential	sequential	ADJ
gc-790	23	16	gaussian	gaussian	ADJ
gc-790	23	17	simulations	simulation	NOUN
gc-790	23	18	)	)	PUNCT
gc-790	23	19	methods	method	NOUN
gc-790	23	20	of	of	ADP
gc-790	23	21	reservoir	reservoir	NOUN
gc-790	23	22	properties	property	NOUN
gc-790	23	23	distribution	distribution	NOUN
gc-790	23	24	in	in	ADP
gc-790	23	25	the	the	DET
gc-790	23	26	lower	low	ADJ
gc-790	23	27	pontian	pontian	ADJ
gc-790	23	28	hydrocarbon	hydrocarbon	NOUN
gc-790	23	29	reservoirs	reservoir	NOUN
gc-790	23	30	of	of	ADP
gc-790	23	31	the	the	DET
gc-790	23	32	sava	sava	PROPN
gc-790	23	33	depression	depression	NOUN
gc-790	23	34	.	.	PUNCT
gc-790	24	1	reservoirs	reservoir	NOUN
gc-790	24	2	are	be	AUX
gc-790	24	3	gasand	gasand	NOUN
gc-790	24	4	oil	oil	NOUN
gc-790	24	5	-	-	PUNCT
gc-790	24	6	prone	prone	ADJ
gc-790	24	7	sandstones	sandstone	NOUN
gc-790	24	8	.	.	PUNCT
gc-790	25	1	ten	ten	NUM
gc-790	25	2	realizations	realization	NOUN
gc-790	25	3	were	be	AUX
gc-790	25	4	obtained	obtain	VERB
gc-790	25	5	by	by	ADP
gc-790	25	6	sequential	sequential	ADJ
gc-790	25	7	gaussian	gaussian	ADJ
gc-790	25	8	simulation	simulation	NOUN
gc-790	25	9	,	,	PUNCT
gc-790	25	10	which	which	PRON
gc-790	25	11	are	be	AUX
gc-790	25	12	sufficient	sufficient	ADJ
gc-790	25	13	for	for	ADP
gc-790	25	14	defining	define	VERB
gc-790	25	15	locations	location	NOUN
gc-790	25	16	with	with	ADP
gc-790	25	17	the	the	DET
gc-790	25	18	highest	high	ADJ
gc-790	25	19	uncertainties	uncertainty	NOUN
gc-790	25	20	of	of	ADP
gc-790	25	21	distributed	distribute	VERB
gc-790	25	22	geological	geological	ADJ
gc-790	25	23	variables	variable	NOUN
gc-790	25	24	.	.	PUNCT
gc-790	26	1	the	the	DET
gc-790	26	2	results	result	NOUN
gc-790	26	3	obtained	obtain	VERB
gc-790	26	4	were	be	AUX
gc-790	26	5	acceptable	acceptable	ADJ
gc-790	26	6	and	and	CCONJ
gc-790	26	7	areas	area	NOUN
gc-790	26	8	with	with	ADP
gc-790	26	9	the	the	DET
gc-790	26	10	highest	high	ADJ
gc-790	26	11	uncertainties	uncertainty	NOUN
gc-790	26	12	were	be	AUX
gc-790	26	13	clearly	clearly	ADV
gc-790	26	14	observed	observe	VERB
gc-790	26	15	on	on	ADP
gc-790	26	16	the	the	DET
gc-790	26	17	maps	map	NOUN
gc-790	26	18	.	.	PUNCT
gc-790	27	1	however	however	ADV
gc-790	27	2	,	,	PUNCT
gc-790	27	3	high	high	ADJ
gc-790	27	4	differences	difference	NOUN
gc-790	27	5	of	of	ADP
gc-790	27	6	reservoir	reservoir	NOUN
gc-790	27	7	property	property	NOUN
gc-790	27	8	values	value	NOUN
gc-790	27	9	in	in	ADP
gc-790	27	10	neighbouring	neighbouring	ADJ
gc-790	27	11	cells	cell	NOUN
gc-790	27	12	caused	cause	VERB
gc-790	27	13	the	the	DET
gc-790	27	14	numerical	numerical	PROPN
gc-790	27	15	simulation	simulation	PROPN
gc-790	27	16	duration	duration	NOUN
gc-790	27	17	to	to	PART
gc-790	27	18	be	be	AUX
gc-790	27	19	too	too	ADV
gc-790	27	20	long	long	ADJ
gc-790	27	21	.	.	PUNCT
gc-790	28	1	for	for	ADP
gc-790	28	2	this	this	DET
gc-790	28	3	reason	reason	NOUN
gc-790	28	4	,	,	PUNCT
gc-790	28	5	ordinary	ordinary	ADJ
gc-790	28	6	kriging	krige	VERB
gc-790	28	7	as	as	ADP
gc-790	28	8	a	a	DET
gc-790	28	9	deterministic	deterministic	ADJ
gc-790	28	10	method	method	NOUN
gc-790	28	11	was	be	AUX
gc-790	28	12	used	use	VERB
gc-790	28	13	for	for	ADP
gc-790	28	14	modelling	model	VERB
gc-790	28	15	the	the	DET
gc-790	28	16	same	same	ADJ
gc-790	28	17	reservoirs	reservoir	NOUN
gc-790	28	18	.	.	PUNCT
gc-790	29	1	smooth	smooth	ADJ
gc-790	29	2	transitions	transition	NOUN
gc-790	29	3	between	between	ADP
gc-790	29	4	neighbouring	neighbouring	NOUN
gc-790	29	5	cells	cell	NOUN
gc-790	29	6	eliminated	eliminate	VERB
gc-790	29	7	the	the	DET
gc-790	29	8	simulation	simulation	NOUN
gc-790	29	9	duration	duration	NOUN
gc-790	29	10	problems	problem	NOUN
gc-790	29	11	and	and	CCONJ
gc-790	29	12	ordinary	ordinary	ADJ
gc-790	29	13	kriging	krige	VERB
gc-790	29	14	maps	map	NOUN
gc-790	29	15	showed	show	VERB
gc-790	29	16	channel	channel	NOUN
gc-790	29	17	sandstone	sandstone	NOUN
gc-790	29	18	with	with	ADP
gc-790	29	19	transitional	transitional	ADJ
gc-790	29	20	lithofacies	lithofacie	NOUN
gc-790	29	21	in	in	ADP
gc-790	29	22	some	some	DET
gc-790	29	23	reservoirs	reservoir	NOUN
gc-790	29	24	.	.	PUNCT
gc-790	30	1	interpretation	interpretation	NOUN
gc-790	30	2	of	of	ADP
gc-790	30	3	sedimentary	sedimentary	ADJ
gc-790	30	4	environments	environment	NOUN
gc-790	30	5	and	and	CCONJ
gc-790	30	6	depositional	depositional	ADJ
gc-790	30	7	mechanisms	mechanism	NOUN
gc-790	30	8	.	.	PUNCT
gc-790	31	1	within	within	ADP
gc-790	31	2	the	the	DET
gc-790	31	3	present	present	ADJ
gc-790	31	4	study	study	NOUN
gc-790	31	5	,	,	PUNCT
gc-790	31	6	new	new	ADJ
gc-790	31	7	porosity	porosity	NOUN
gc-790	31	8	modelling	modelling	NOUN
gc-790	31	9	has	have	AUX
gc-790	31	10	been	be	AUX
gc-790	31	11	performed	perform	VERB
gc-790	31	12	with	with	ADP
gc-790	31	13	the	the	DET
gc-790	31	14	aim	aim	NOUN
gc-790	31	15	of	of	ADP
gc-790	31	16	introducing	introduce	VERB
gc-790	31	17	and	and	CCONJ
gc-790	31	18	analysing	analyse	VERB
gc-790	31	19	the	the	DET
gc-790	31	20	uncertainty	uncertainty	NOUN
gc-790	31	21	of	of	ADP
gc-790	31	22	reservoir	reservoir	NOUN
gc-790	31	23	properties	property	NOUN
gc-790	31	24	.	.	PUNCT
gc-790	32	1	different	different	ADJ
gc-790	32	2	deterministic	deterministic	ADJ
gc-790	32	3	and	and	CCONJ
gc-790	32	4	stochastic	stochastic	ADJ
gc-790	32	5	distribution	distribution	NOUN
gc-790	32	6	methods	method	NOUN
gc-790	32	7	were	be	AUX
gc-790	32	8	tested	test	VERB
gc-790	32	9	and	and	CCONJ
gc-790	32	10	analysed	analyse	VERB
gc-790	32	11	to	to	PART
gc-790	32	12	choose	choose	VERB
gc-790	32	13	the	the	DET
gc-790	32	14	most	most	ADV
gc-790	32	15	acceptable	acceptable	ADJ
gc-790	32	16	one	one	NUM
gc-790	32	17	.	.	PUNCT
gc-790	33	1	2	2	X
gc-790	33	2	.	.	X
gc-790	33	3	geological	geological	ADJ
gc-790	33	4	description	description	NOUN
gc-790	33	5	of	of	ADP
gc-790	33	6	the	the	DET
gc-790	33	7	study	study	NOUN
gc-790	33	8	area	area	NOUN
gc-790	33	9	within	within	ADP
gc-790	33	10	the	the	DET
gc-790	33	11	sava	sava	PROPN
gc-790	33	12	depression	depression	NOUN
gc-790	33	13	generally	generally	ADV
gc-790	33	14	,	,	PUNCT
gc-790	33	15	during	during	ADP
gc-790	33	16	the	the	DET
gc-790	33	17	late	late	ADJ
gc-790	33	18	pannonian	pannonian	NOUN
gc-790	33	19	and	and	CCONJ
gc-790	33	20	early	early	ADJ
gc-790	33	21	pontian	pontian	ADJ
gc-790	33	22	,	,	PUNCT
gc-790	33	23	many	many	ADJ
gc-790	33	24	subsided	subside	VERB
gc-790	33	25	structural	structural	ADJ
gc-790	33	26	units	unit	NOUN
gc-790	33	27	in	in	ADP
gc-790	33	28	the	the	DET
gc-790	33	29	entire	entire	ADJ
gc-790	33	30	pannonian	pannonian	ADJ
gc-790	33	31	basin	basin	NOUN
gc-790	33	32	system	system	NOUN
gc-790	33	33	were	be	AUX
gc-790	33	34	reactivated	reactivate	VERB
gc-790	33	35	due	due	ADJ
gc-790	33	36	to	to	ADP
gc-790	33	37	the	the	DET
gc-790	33	38	thermal	thermal	ADJ
gc-790	33	39	subsidence	subsidence	NOUN
gc-790	33	40	(	(	PUNCT
gc-790	33	41	malvić	malvić	NOUN
gc-790	33	42	&	&	CCONJ
gc-790	33	43	velić	velić	NOUN
gc-790	33	44	,	,	PUNCT
gc-790	33	45	2011	2011	NUM
gc-790	33	46	)	)	PUNCT
gc-790	33	47	.	.	PUNCT
gc-790	34	1	accommodation	accommodation	NOUN
gc-790	34	2	space	space	NOUN
gc-790	34	3	for	for	ADP
gc-790	34	4	a	a	DET
gc-790	34	5	huge	huge	ADJ
gc-790	34	6	volume	volume	NOUN
gc-790	34	7	of	of	ADP
gc-790	34	8	sedi­	sedi­	NUM
gc-790	34	9	ments	ment	NOUN
gc-790	34	10	was	be	AUX
gc-790	34	11	created	create	VERB
gc-790	34	12	.	.	PUNCT
gc-790	35	1	during	during	ADP
gc-790	35	2	these	these	DET
gc-790	35	3	periods	period	NOUN
gc-790	35	4	,	,	PUNCT
gc-790	35	5	the	the	DET
gc-790	35	6	main	main	ADJ
gc-790	35	7	regional	regional	ADJ
gc-790	35	8	sandstone	sandstone	NOUN
gc-790	35	9	hydrocarbon	hydrocarbon	NOUN
gc-790	35	10	reservoirs	reservoir	NOUN
gc-790	35	11	were	be	AUX
gc-790	35	12	deposited	deposit	VERB
gc-790	35	13	in	in	ADP
gc-790	35	14	the	the	DET
gc-790	35	15	sw	sw	PROPN
gc-790	35	16	part	part	NOUN
gc-790	35	17	of	of	ADP
gc-790	35	18	pbs	pbs	PROPN
gc-790	35	19	(	(	PUNCT
gc-790	35	20	velić	velić	NOUN
gc-790	35	21	,	,	PUNCT
gc-790	35	22	2007	2007	NUM
gc-790	35	23	)	)	PUNCT
gc-790	35	24	.	.	PUNCT
gc-790	36	1	turbidites	turbidite	NOUN
gc-790	36	2	were	be	AUX
gc-790	36	3	the	the	DET
gc-790	36	4	dominant	dominant	ADJ
gc-790	36	5	clastic	clastic	ADJ
gc-790	36	6	transport	transport	NOUN
gc-790	36	7	mechanism	mechanism	NOUN
gc-790	36	8	in	in	ADP
gc-790	36	9	the	the	DET
gc-790	36	10	croatian	croatian	ADJ
gc-790	36	11	part	part	NOUN
gc-790	36	12	of	of	ADP
gc-790	36	13	the	the	DET
gc-790	36	14	pannonian	pannonian	ADJ
gc-790	36	15	basin	basin	NOUN
gc-790	36	16	system	system	NOUN
gc-790	36	17	during	during	ADP
gc-790	36	18	the	the	DET
gc-790	36	19	late	late	ADJ
gc-790	36	20	pannonian	pannonian	NOUN
gc-790	36	21	and	and	CCONJ
gc-790	36	22	early	early	ADJ
gc-790	36	23	pontian	pontian	ADJ
gc-790	36	24	(	(	PUNCT
gc-790	36	25	e.g.	e.g.	ADV
gc-790	36	26	rögl	rögl	NOUN
gc-790	36	27	,	,	PUNCT
gc-790	36	28	1996	1996	NUM
gc-790	36	29	,	,	PUNCT
gc-790	36	30	1998	1998	NUM
gc-790	36	31	;	;	PUNCT
gc-790	36	32	vrbanac	vrbanac	NOUN
gc-790	36	33	,	,	PUNCT
gc-790	36	34	1996	1996	NUM
gc-790	36	35	)	)	PUNCT
gc-790	36	36	.	.	PUNCT
gc-790	37	1	although	although	SCONJ
gc-790	37	2	there	there	PRON
gc-790	37	3	are	be	VERB
gc-790	37	4	some	some	DET
gc-790	37	5	theories	theory	NOUN
gc-790	37	6	about	about	ADP
gc-790	37	7	the	the	DET
gc-790	37	8	local	local	ADJ
gc-790	37	9	material	material	NOUN
gc-790	37	10	source	source	NOUN
gc-790	37	11	,	,	PUNCT
gc-790	37	12	it	it	PRON
gc-790	37	13	was	be	AUX
gc-790	37	14	proven	prove	VERB
gc-790	37	15	that	that	SCONJ
gc-790	37	16	most	most	ADJ
gc-790	37	17	of	of	ADP
gc-790	37	18	material	material	NOUN
gc-790	37	19	originates	originate	NOUN
gc-790	37	20	from	from	ADP
gc-790	37	21	the	the	DET
gc-790	37	22	eastern	eastern	PROPN
gc-790	37	23	alps	alps	PROPN
gc-790	37	24	.	.	PUNCT
gc-790	38	1	due	due	ADP
gc-790	38	2	to	to	ADP
gc-790	38	3	lengthy	lengthy	ADJ
gc-790	38	4	transport	transport	NOUN
gc-790	38	5	distances	distance	NOUN
gc-790	38	6	,	,	PUNCT
gc-790	38	7	only	only	ADV
gc-790	38	8	the	the	DET
gc-790	38	9	medium	medium	ADJ
gc-790	38	10	and	and	CCONJ
gc-790	38	11	fine	fine	ADJ
gc-790	38	12	grained	grain	VERB
gc-790	38	13	sands	sand	NOUN
gc-790	38	14	and	and	CCONJ
gc-790	38	15	silts	silt	NOUN
gc-790	38	16	reached	reach	VERB
gc-790	38	17	the	the	DET
gc-790	38	18	sava	sava	PROPN
gc-790	38	19	depression	depression	NOUN
gc-790	38	20	.	.	PUNCT
gc-790	39	1	in	in	ADP
gc-790	39	2	the	the	DET
gc-790	39	3	calm	calm	ADJ
gc-790	39	4	period	period	NOUN
gc-790	39	5	,	,	PUNCT
gc-790	39	6	when	when	SCONJ
gc-790	39	7	turbiditic	turbiditic	ADJ
gc-790	39	8	currents	current	NOUN
gc-790	39	9	were	be	AUX
gc-790	39	10	not	not	PART
gc-790	39	11	active	active	ADJ
gc-790	39	12	,	,	PUNCT
gc-790	39	13	typical	typical	ADJ
gc-790	39	14	calm	calm	ADJ
gc-790	39	15	hemi	hemi	NOUN
gc-790	39	16	-	-	ADJ
gc-790	39	17	pelagic	pelagic	ADJ
gc-790	39	18	marls	marl	NOUN
gc-790	39	19	were	be	AUX
gc-790	39	20	deposited	deposit	VERB
gc-790	39	21	.	.	PUNCT
gc-790	40	1	the	the	DET
gc-790	40	2	study	study	NOUN
gc-790	40	3	area	area	NOUN
gc-790	40	4	is	be	AUX
gc-790	40	5	located	locate	VERB
gc-790	40	6	in	in	ADP
gc-790	40	7	the	the	DET
gc-790	40	8	north	north	NOUN
gc-790	40	9	-	-	PUNCT
gc-790	40	10	western	western	ADJ
gc-790	40	11	part	part	NOUN
gc-790	40	12	of	of	ADP
gc-790	40	13	the	the	DET
gc-790	40	14	sava	sava	PROPN
gc-790	40	15	depression	depression	NOUN
gc-790	40	16	.	.	PUNCT
gc-790	41	1	the	the	DET
gc-790	41	2	location	location	NOUN
gc-790	41	3	itself	itself	PRON
gc-790	41	4	is	be	AUX
gc-790	41	5	a	a	DET
gc-790	41	6	hydrocarbon	hydrocarbon	NOUN
gc-790	41	7	field	field	NOUN
gc-790	41	8	with	with	ADP
gc-790	41	9	a	a	DET
gc-790	41	10	structure	structure	NOUN
gc-790	41	11	of	of	ADP
gc-790	41	12	an	an	DET
gc-790	41	13	asymmetrical	asymmetrical	ADJ
gc-790	41	14	brachianticline	brachianticline	NOUN
gc-790	41	15	,	,	PUNCT
gc-790	41	16	with	with	ADP
gc-790	41	17	a	a	DET
gc-790	41	18	somewhat	somewhat	ADV
gc-790	41	19	longer	long	ADJ
gc-790	41	20	axis	axis	NOUN
gc-790	41	21	of	of	ADP
gc-790	41	22	northwest	northwest	NOUN
gc-790	41	23	-	-	PUNCT
gc-790	41	24	southeast	southeast	NOUN
gc-790	41	25	strike	strike	NOUN
gc-790	41	26	,	,	PUNCT
gc-790	41	27	and	and	CCONJ
gc-790	41	28	with	with	ADP
gc-790	41	29	a	a	DET
gc-790	41	30	slightly	slightly	ADV
gc-790	41	31	pronounced	pronounce	VERB
gc-790	41	32	peak	peak	NOUN
gc-790	41	33	in	in	ADP
gc-790	41	34	the	the	DET
gc-790	41	35	southern	southern	ADJ
gc-790	41	36	part	part	NOUN
gc-790	41	37	.	.	PUNCT
gc-790	42	1	a	a	DET
gc-790	42	2	fault	fault	NOUN
gc-790	42	3	system	system	NOUN
gc-790	42	4	of	of	ADP
gc-790	42	5	nw	nw	PROPN
gc-790	42	6	-	-	PUNCT
gc-790	42	7	se	se	PROPN
gc-790	42	8	strike	strike	NOUN
gc-790	42	9	extends	extend	VERB
gc-790	42	10	along	along	ADP
gc-790	42	11	the	the	DET
gc-790	42	12	western	western	ADJ
gc-790	42	13	part	part	NOUN
gc-790	42	14	of	of	ADP
gc-790	42	15	the	the	DET
gc-790	42	16	field	field	NOUN
gc-790	42	17	.	.	PUNCT
gc-790	43	1	article	article	NOUN
gc-790	43	2	history	history	NOUN
gc-790	43	3	:	:	PUNCT
gc-790	43	4	manuscript	manuscript	NOUN
gc-790	43	5	received	receive	VERB
gc-790	43	6	january	january	PROPN
gc-790	43	7	31	31	NUM
gc-790	43	8	,	,	PUNCT
gc-790	43	9	2017	2017	NUM
gc-790	43	10	revised	revise	VERB
gc-790	43	11	manuscript	manuscript	NOUN
gc-790	43	12	accepted	accept	VERB
gc-790	43	13	june	june	PROPN
gc-790	43	14	14	14	NUM
gc-790	43	15	,	,	PUNCT
gc-790	43	16	2017	2017	NUM
gc-790	43	17	available	available	ADJ
gc-790	43	18	online	online	ADJ
gc-790	43	19	june	june	PROPN
gc-790	43	20	28	28	NUM
gc-790	43	21	,	,	PUNCT
gc-790	43	22	2017	2017	NUM
gc-790	43	23	keywords	keyword	NOUN
gc-790	43	24	:	:	PUNCT
gc-790	43	25	geostatistics	geostatistic	NOUN
gc-790	43	26	,	,	PUNCT
gc-790	43	27	ordinary	ordinary	ADJ
gc-790	43	28	kriging	kriging	NOUN
gc-790	43	29	,	,	PUNCT
gc-790	43	30	sequential	sequential	ADJ
gc-790	43	31	gaussian	gaussian	ADJ
gc-790	43	32	simulations	simulation	NOUN
gc-790	43	33	,	,	PUNCT
gc-790	43	34	hydrocarbon	hydrocarbon	NOUN
gc-790	43	35	reservoirs	reservoir	NOUN
gc-790	43	36	,	,	PUNCT
gc-790	44	1	sava	sava	PROPN
gc-790	44	2	depression	depression	PROPN
gc-790	44	3	g	g	PROPN
gc-790	44	4	eo	eo	PROPN
gc-790	44	5	lo	lo	PROPN
gc-790	44	6	gi	gi	VERB
gc-790	44	7	a	a	DET
gc-790	44	8	c	c	X
gc-790	44	9	ro	ro	X
gc-790	44	10	at	at	ADP
gc-790	44	11	ic	ic	PROPN
gc-790	44	12	a	a	DET
gc-790	44	13	geologia	geologia	ADJ
gc-790	44	14	croatica	croatica	NOUN
gc-790	45	1	70/2106	70/2106	NOUN
gc-790	46	1	the	the	DET
gc-790	46	2	lithological	lithological	ADJ
gc-790	46	3	composition	composition	NOUN
gc-790	46	4	of	of	ADP
gc-790	46	5	the	the	DET
gc-790	46	6	reservoirs	reservoir	NOUN
gc-790	46	7	is	be	AUX
gc-790	46	8	fairly	fairly	ADV
gc-790	46	9	simple	simple	ADJ
gc-790	46	10	–	–	PUNCT
gc-790	46	11	medium	medium	ADJ
gc-790	46	12	and	and	CCONJ
gc-790	46	13	fine­grained	fine­grained	ADJ
gc-790	46	14	sandstones	sandstone	NOUN
gc-790	46	15	(	(	PUNCT
gc-790	46	16	lithoarenites	lithoarenite	NOUN
gc-790	46	17	)	)	PUNCT
gc-790	46	18	in	in	ADP
gc-790	46	19	continuous	continuous	ADJ
gc-790	46	20	alternation	alternation	NOUN
gc-790	46	21	with	with	ADP
gc-790	46	22	marls	marls	PROPN
gc-790	46	23	.	.	PUNCT
gc-790	47	1	marls	marl	NOUN
gc-790	47	2	are	be	AUX
gc-790	47	3	compact	compact	ADJ
gc-790	47	4	,	,	PUNCT
gc-790	47	5	dense	dense	ADJ
gc-790	47	6	brown	brown	ADJ
gc-790	47	7	-	-	PUNCT
gc-790	47	8	grey	grey	ADJ
gc-790	47	9	rocks	rock	NOUN
gc-790	47	10	.	.	PUNCT
gc-790	48	1	both	both	CCONJ
gc-790	48	2	sandstone	sandstone	NOUN
gc-790	48	3	and	and	CCONJ
gc-790	48	4	marl	marl	NOUN
gc-790	48	5	layers	layer	NOUN
gc-790	48	6	are	be	AUX
gc-790	48	7	not	not	PART
gc-790	48	8	always	always	ADV
gc-790	48	9	continuous	continuous	ADJ
gc-790	48	10	;	;	PUNCT
gc-790	48	11	there	there	PRON
gc-790	48	12	are	be	VERB
gc-790	48	13	frequent	frequent	ADJ
gc-790	48	14	pinch	pinch	NOUN
gc-790	48	15	-	-	PUNCT
gc-790	48	16	outs	out	NOUN
gc-790	48	17	and	and	CCONJ
gc-790	48	18	sections	section	NOUN
gc-790	48	19	where	where	SCONJ
gc-790	48	20	different	different	ADJ
gc-790	48	21	sandstone	sandstone	NOUN
gc-790	48	22	layers	layer	NOUN
gc-790	48	23	are	be	AUX
gc-790	48	24	in	in	ADP
gc-790	48	25	direct	direct	ADJ
gc-790	48	26	contact	contact	NOUN
gc-790	48	27	.	.	PUNCT
gc-790	49	1	the	the	DET
gc-790	49	2	whole	whole	ADJ
gc-790	49	3	series	series	NOUN
gc-790	49	4	was	be	AUX
gc-790	49	5	divided	divide	VERB
gc-790	49	6	into	into	ADP
gc-790	49	7	11	11	NUM
gc-790	49	8	sandstone	sandstone	NOUN
gc-790	49	9	intervals	interval	NOUN
gc-790	49	10	,	,	PUNCT
gc-790	49	11	referred	refer	VERB
gc-790	49	12	to	to	ADP
gc-790	49	13	here	here	ADV
gc-790	49	14	as	as	ADP
gc-790	49	15	s1	s1	PROPN
gc-790	49	16	to	to	ADP
gc-790	49	17	s11	s11	PROPN
gc-790	49	18	.	.	PUNCT
gc-790	50	1	s1	s1	PROPN
gc-790	50	2	to	to	PART
gc-790	50	3	s4	s4	PROPN
gc-790	50	4	are	be	AUX
gc-790	50	5	saturated	saturate	VERB
gc-790	50	6	with	with	ADP
gc-790	50	7	gas	gas	NOUN
gc-790	50	8	(	(	PUNCT
gc-790	50	9	in	in	ADP
gc-790	50	10	the	the	DET
gc-790	50	11	gas	gas	NOUN
gc-790	50	12	cap	cap	NOUN
gc-790	50	13	)	)	PUNCT
gc-790	50	14	and	and	CCONJ
gc-790	50	15	oil	oil	NOUN
gc-790	50	16	rim	rim	NOUN
gc-790	50	17	,	,	PUNCT
gc-790	50	18	and	and	CCONJ
gc-790	50	19	they	they	PRON
gc-790	50	20	represent	represent	VERB
gc-790	50	21	one	one	NUM
gc-790	50	22	hydrodynamic	hydrodynamic	ADJ
gc-790	50	23	unit	unit	NOUN
gc-790	50	24	.	.	PUNCT
gc-790	51	1	s5	s5	PROPN
gc-790	51	2	to	to	ADP
gc-790	51	3	s10	s10	PROPN
gc-790	51	4	are	be	AUX
gc-790	51	5	saturated	saturate	VERB
gc-790	51	6	with	with	ADP
gc-790	51	7	oil	oil	NOUN
gc-790	51	8	,	,	PUNCT
gc-790	51	9	representing	represent	VERB
gc-790	51	10	a	a	DET
gc-790	51	11	second	second	ADJ
gc-790	51	12	hydrodynamic	hydrodynamic	ADJ
gc-790	51	13	unit	unit	NOUN
gc-790	51	14	,	,	PUNCT
gc-790	51	15	while	while	SCONJ
gc-790	51	16	s11	s11	PROPN
gc-790	51	17	is	be	AUX
gc-790	51	18	watersaturated	watersaturate	VERB
gc-790	51	19	.	.	PUNCT
gc-790	52	1	all	all	PRON
gc-790	52	2	of	of	ADP
gc-790	52	3	the	the	DET
gc-790	52	4	reservoirs	reservoir	NOUN
gc-790	52	5	in	in	ADP
gc-790	52	6	the	the	DET
gc-790	52	7	series	series	NOUN
gc-790	52	8	(	(	PUNCT
gc-790	52	9	s1	s1	PROPN
gc-790	52	10	-	-	PUNCT
gc-790	52	11	s11	s11	NOUN
gc-790	52	12	)	)	PUNCT
gc-790	52	13	were	be	AUX
gc-790	52	14	classified	classify	VERB
gc-790	52	15	as	as	ADP
gc-790	52	16	representing	represent	VERB
gc-790	52	17	the	the	DET
gc-790	52	18	upper	upper	ADJ
gc-790	52	19	pannonian	pannonian	NOUN
gc-790	52	20	.	.	PUNCT
gc-790	53	1	some	some	PRON
gc-790	53	2	of	of	ADP
gc-790	53	3	the	the	DET
gc-790	53	4	reservoirs	reservoir	NOUN
gc-790	53	5	(	(	PUNCT
gc-790	53	6	s2	s2	PROPN
gc-790	53	7	,	,	PUNCT
gc-790	53	8	s3	s3	PROPN
gc-790	53	9	,	,	PUNCT
gc-790	53	10	s5	s5	PROPN
gc-790	53	11	,	,	PUNCT
gc-790	53	12	s7	s7	NOUN
gc-790	53	13	and	and	CCONJ
gc-790	53	14	s10	s10	NOUN
gc-790	53	15	)	)	PUNCT
gc-790	53	16	are	be	AUX
gc-790	53	17	elongated	elongate	VERB
gc-790	53	18	in	in	ADP
gc-790	53	19	the	the	DET
gc-790	53	20	nw­se	nw­se	NUM
gc-790	53	21	direction	direction	NOUN
gc-790	53	22	and	and	CCONJ
gc-790	53	23	they	they	PRON
gc-790	53	24	have	have	VERB
gc-790	53	25	the	the	DET
gc-790	53	26	geometry	geometry	NOUN
gc-790	53	27	of	of	ADP
gc-790	53	28	channel	channel	NOUN
gc-790	53	29	sediments	sediment	NOUN
gc-790	53	30	.	.	PUNCT
gc-790	54	1	according	accord	VERB
gc-790	54	2	to	to	ADP
gc-790	54	3	porosity	porosity	NOUN
gc-790	54	4	and	and	CCONJ
gc-790	54	5	net	net	ADJ
gc-790	54	6	pay	pay	NOUN
gc-790	54	7	distribution	distribution	NOUN
gc-790	54	8	in	in	ADP
gc-790	54	9	the	the	DET
gc-790	54	10	model	model	NOUN
gc-790	54	11	it	it	PRON
gc-790	54	12	could	could	AUX
gc-790	54	13	be	be	AUX
gc-790	54	14	assumed	assume	VERB
gc-790	54	15	that	that	SCONJ
gc-790	54	16	those	those	DET
gc-790	54	17	reservoirs	reservoir	NOUN
gc-790	54	18	have	have	VERB
gc-790	54	19	the	the	DET
gc-790	54	20	coarsest	coarse	ADJ
gc-790	54	21	material	material	NOUN
gc-790	54	22	deposited	deposit	VERB
gc-790	54	23	in	in	ADP
gc-790	54	24	the	the	DET
gc-790	54	25	channel	channel	NOUN
gc-790	54	26	centre	centre	NOUN
gc-790	54	27	,	,	PUNCT
gc-790	54	28	which	which	PRON
gc-790	54	29	laterally	laterally	ADV
gc-790	54	30	,	,	PUNCT
gc-790	54	31	toward	toward	ADP
gc-790	54	32	channel	channel	NOUN
gc-790	54	33	borders	border	NOUN
gc-790	54	34	changes	change	NOUN
gc-790	54	35	into	into	ADP
gc-790	54	36	basinal	basinal	ADJ
gc-790	54	37	marls	marl	NOUN
gc-790	54	38	through	through	ADP
gc-790	54	39	transitional	transitional	ADJ
gc-790	54	40	lithofacies	lithofacie	NOUN
gc-790	54	41	(	(	PUNCT
gc-790	54	42	sandy	sandy	ADJ
gc-790	54	43	marls	marl	NOUN
gc-790	54	44	and	and	CCONJ
gc-790	54	45	marly	marly	ADJ
gc-790	54	46	sandstones	sandstone	NOUN
gc-790	54	47	)	)	PUNCT
gc-790	54	48	.	.	PUNCT
gc-790	55	1	other	other	ADJ
gc-790	55	2	reservoirs	reservoir	NOUN
gc-790	55	3	(	(	PUNCT
gc-790	55	4	s1	s1	NOUN
gc-790	55	5	,	,	PUNCT
gc-790	55	6	s4	s4	PROPN
gc-790	55	7	,	,	PUNCT
gc-790	55	8	s6	s6	PROPN
gc-790	55	9	,	,	PUNCT
gc-790	55	10	s8	s8	NOUN
gc-790	55	11	,	,	PUNCT
gc-790	55	12	s9	s9	NOUN
gc-790	55	13	and	and	CCONJ
gc-790	55	14	s11	s11	PROPN
gc-790	55	15	)	)	PUNCT
gc-790	55	16	have	have	VERB
gc-790	55	17	greater	great	ADJ
gc-790	55	18	areal	areal	NOUN
gc-790	55	19	extents	extent	NOUN
gc-790	55	20	and	and	CCONJ
gc-790	55	21	minor	minor	ADJ
gc-790	55	22	thickness	thickness	NOUN
gc-790	55	23	variability	variability	NOUN
gc-790	55	24	representing	represent	VERB
gc-790	55	25	rather	rather	ADV
gc-790	55	26	sand	sand	NOUN
gc-790	55	27	lobes	lobe	NOUN
gc-790	55	28	or	or	CCONJ
gc-790	55	29	similar	similar	ADJ
gc-790	55	30	type	type	NOUN
gc-790	55	31	of	of	ADP
gc-790	55	32	deposits	deposit	NOUN
gc-790	55	33	.	.	PUNCT
gc-790	56	1	3	3	X
gc-790	56	2	.	.	NUM
gc-790	56	3	applied	apply	VERB
gc-790	56	4	geostatistical	geostatistical	ADJ
gc-790	56	5	methods	method	NOUN
gc-790	56	6	some	some	DET
gc-790	56	7	methods	method	NOUN
gc-790	56	8	give	give	VERB
gc-790	56	9	only	only	ADV
gc-790	56	10	one	one	NUM
gc-790	56	11	solution	solution	NOUN
gc-790	56	12	,	,	PUNCT
gc-790	56	13	i.e.	i.e.	X
gc-790	56	14	for	for	ADP
gc-790	56	15	the	the	DET
gc-790	56	16	same	same	ADJ
gc-790	56	17	input	input	NOUN
gc-790	56	18	data	datum	NOUN
gc-790	56	19	and	and	CCONJ
gc-790	56	20	by	by	ADP
gc-790	56	21	applying	apply	VERB
gc-790	56	22	the	the	DET
gc-790	56	23	same	same	ADJ
gc-790	56	24	method	method	NOUN
gc-790	56	25	,	,	PUNCT
gc-790	56	26	the	the	DET
gc-790	56	27	result	result	NOUN
gc-790	56	28	is	be	AUX
gc-790	56	29	always	always	ADV
gc-790	56	30	going	go	VERB
gc-790	56	31	to	to	PART
gc-790	56	32	be	be	AUX
gc-790	56	33	the	the	DET
gc-790	56	34	same	same	ADJ
gc-790	56	35	,	,	PUNCT
gc-790	56	36	i.e.	i.e.	X
gc-790	56	37	the	the	DET
gc-790	56	38	same	same	ADJ
gc-790	56	39	map	map	NOUN
gc-790	56	40	is	be	AUX
gc-790	56	41	constructed	construct	VERB
gc-790	56	42	.	.	PUNCT
gc-790	57	1	these	these	PRON
gc-790	57	2	are	be	AUX
gc-790	57	3	the	the	DET
gc-790	57	4	deterministic	deterministic	ADJ
gc-790	57	5	methods	method	NOUN
gc-790	57	6	,	,	PUNCT
gc-790	57	7	although	although	SCONJ
gc-790	57	8	it	it	PRON
gc-790	57	9	is	be	AUX
gc-790	57	10	correct	correct	ADJ
gc-790	57	11	to	to	PART
gc-790	57	12	call	call	VERB
gc-790	57	13	them	they	PRON
gc-790	57	14	deterministic	deterministic	ADJ
gc-790	57	15	interpolation	interpolation	NOUN
gc-790	57	16	methods	method	NOUN
gc-790	57	17	.	.	PUNCT
gc-790	58	1	such	such	ADJ
gc-790	58	2	methods	method	NOUN
gc-790	58	3	are	be	AUX
gc-790	58	4	still	still	ADV
gc-790	58	5	commonly	commonly	ADV
gc-790	58	6	used	use	VERB
gc-790	58	7	for	for	ADP
gc-790	58	8	reservoir	reservoir	NOUN
gc-790	58	9	characterization	characterization	NOUN
gc-790	58	10	and	and	CCONJ
gc-790	58	11	modelling	modelling	NOUN
gc-790	58	12	,	,	PUNCT
gc-790	58	13	despite	despite	SCONJ
gc-790	58	14	the	the	DET
gc-790	58	15	fact	fact	NOUN
gc-790	58	16	that	that	SCONJ
gc-790	58	17	our	our	PRON
gc-790	58	18	knowledge	knowledge	NOUN
gc-790	58	19	about	about	ADP
gc-790	58	20	geological	geological	ADJ
gc-790	58	21	processes	process	NOUN
gc-790	58	22	is	be	AUX
gc-790	58	23	far	far	ADV
gc-790	58	24	from	from	ADP
gc-790	58	25	complete	complete	ADJ
gc-790	58	26	.	.	PUNCT
gc-790	59	1	still	still	ADV
gc-790	59	2	,	,	PUNCT
gc-790	59	3	we	we	PRON
gc-790	59	4	are	be	AUX
gc-790	59	5	aware	aware	ADJ
gc-790	59	6	that	that	SCONJ
gc-790	59	7	such	such	ADJ
gc-790	59	8	deterministic	deterministic	ADJ
gc-790	59	9	interpretation	interpretation	NOUN
gc-790	59	10	can	can	AUX
gc-790	59	11	not	not	PART
gc-790	59	12	be	be	AUX
gc-790	59	13	unambiguous	unambiguous	ADJ
gc-790	59	14	and	and	CCONJ
gc-790	59	15	certain	certain	ADJ
gc-790	59	16	,	,	PUNCT
gc-790	59	17	but	but	CCONJ
gc-790	59	18	it	it	PRON
gc-790	59	19	is	be	AUX
gc-790	59	20	often	often	ADV
gc-790	59	21	described	describe	VERB
gc-790	59	22	as	as	ADP
gc-790	59	23	the	the	DET
gc-790	59	24	most	most	ADV
gc-790	59	25	probable	probable	ADJ
gc-790	59	26	.	.	PUNCT
gc-790	60	1	since	since	SCONJ
gc-790	60	2	a	a	DET
gc-790	60	3	completely	completely	ADV
gc-790	60	4	deterministic	deterministic	ADJ
gc-790	60	5	system	system	NOUN
gc-790	60	6	is	be	AUX
gc-790	60	7	almost	almost	ADV
gc-790	60	8	impossible	impossible	ADJ
gc-790	60	9	by	by	ADP
gc-790	60	10	nature	nature	NOUN
gc-790	60	11	,	,	PUNCT
gc-790	60	12	it	it	PRON
gc-790	60	13	might	might	AUX
gc-790	60	14	be	be	AUX
gc-790	60	15	better	well	ADJ
gc-790	60	16	to	to	PART
gc-790	60	17	use	use	VERB
gc-790	60	18	stochastics	stochastic	NOUN
gc-790	60	19	wherever	wherever	SCONJ
gc-790	60	20	possible	possible	ADJ
gc-790	60	21	.	.	PUNCT
gc-790	61	1	stochastic	stochastic	ADJ
gc-790	61	2	methods	method	NOUN
gc-790	61	3	are	be	AUX
gc-790	61	4	a	a	DET
gc-790	61	5	standard	standard	ADJ
gc-790	61	6	part	part	NOUN
gc-790	61	7	of	of	ADP
gc-790	61	8	mathematical	mathematical	ADJ
gc-790	61	9	geology	geology	NOUN
gc-790	61	10	and	and	CCONJ
gc-790	61	11	are	be	AUX
gc-790	61	12	increasingly	increasingly	ADV
gc-790	61	13	being	be	AUX
gc-790	61	14	used	use	VERB
gc-790	61	15	as	as	ADP
gc-790	61	16	an	an	DET
gc-790	61	17	integral	integral	ADJ
gc-790	61	18	part	part	NOUN
gc-790	61	19	of	of	ADP
gc-790	61	20	the	the	DET
gc-790	61	21	tools	tool	NOUN
gc-790	61	22	for	for	ADP
gc-790	61	23	hydrocarbon	hydrocarbon	NOUN
gc-790	61	24	reservoir	reservoir	NOUN
gc-790	61	25	characterizations	characterization	NOUN
gc-790	61	26	worldwide	worldwide	ADV
gc-790	61	27	.	.	PUNCT
gc-790	62	1	alternatively	alternatively	ADV
gc-790	62	2	,	,	PUNCT
gc-790	62	3	stochastic	stochastic	ADJ
gc-790	62	4	realizations	realization	NOUN
gc-790	62	5	provide	provide	VERB
gc-790	62	6	a	a	DET
gc-790	62	7	different	different	ADJ
gc-790	62	8	number	number	NOUN
gc-790	62	9	of	of	ADP
gc-790	62	10	solutions	solution	NOUN
gc-790	62	11	for	for	ADP
gc-790	62	12	the	the	DET
gc-790	62	13	same	same	ADJ
gc-790	62	14	input	input	NOUN
gc-790	62	15	data	datum	NOUN
gc-790	62	16	set	set	VERB
gc-790	62	17	.	.	PUNCT
gc-790	63	1	those	those	DET
gc-790	63	2	solutions	solution	NOUN
gc-790	63	3	can	can	AUX
gc-790	63	4	be	be	AUX
gc-790	63	5	very	very	ADV
gc-790	63	6	similar	similar	ADJ
gc-790	63	7	but	but	CCONJ
gc-790	63	8	never	never	ADV
gc-790	63	9	identical	identical	ADJ
gc-790	63	10	which	which	PRON
gc-790	63	11	is	be	AUX
gc-790	63	12	why	why	SCONJ
gc-790	63	13	all	all	PRON
gc-790	63	14	obtained	obtain	VERB
gc-790	63	15	solutions	solution	NOUN
gc-790	63	16	or	or	CCONJ
gc-790	63	17	results	result	NOUN
gc-790	63	18	are	be	AUX
gc-790	63	19	equally	equally	ADV
gc-790	63	20	probable	probable	ADJ
gc-790	63	21	.	.	PUNCT
gc-790	64	1	in	in	ADP
gc-790	64	2	stochastic	stochastic	ADJ
gc-790	64	3	processes	process	NOUN
gc-790	64	4	the	the	DET
gc-790	64	5	number	number	NOUN
gc-790	64	6	of	of	ADP
gc-790	64	7	realizations	realization	NOUN
gc-790	64	8	can	can	AUX
gc-790	64	9	be	be	AUX
gc-790	64	10	any	any	DET
gc-790	64	11	number	number	NOUN
gc-790	64	12	we	we	PRON
gc-790	64	13	desire	desire	VERB
gc-790	64	14	.	.	PUNCT
gc-790	65	1	the	the	DET
gc-790	65	2	more	more	ADJ
gc-790	65	3	realizations	realization	NOUN
gc-790	65	4	there	there	PRON
gc-790	65	5	are	be	VERB
gc-790	65	6	,	,	PUNCT
gc-790	65	7	the	the	PRON
gc-790	65	8	lower	low	ADJ
gc-790	65	9	the	the	DET
gc-790	65	10	uncertainty	uncertainty	NOUN
gc-790	65	11	,	,	PUNCT
gc-790	65	12	i.e.	i.e.	X
gc-790	65	13	there	there	PRON
gc-790	65	14	is	be	VERB
gc-790	65	15	a	a	DET
gc-790	65	16	higher	high	ADJ
gc-790	65	17	certainty	certainty	NOUN
gc-790	65	18	that	that	SCONJ
gc-790	65	19	a	a	DET
gc-790	65	20	number	number	NOUN
gc-790	65	21	of	of	ADP
gc-790	65	22	realizations	realization	NOUN
gc-790	65	23	are	be	AUX
gc-790	65	24	close	close	ADJ
gc-790	65	25	to	to	ADP
gc-790	65	26	the	the	DET
gc-790	65	27	real	real	ADJ
gc-790	65	28	geological	geological	ADJ
gc-790	65	29	situation	situation	NOUN
gc-790	65	30	.	.	PUNCT
gc-790	66	1	100	100	NUM
gc-790	66	2	realizations	realization	NOUN
gc-790	66	3	is	be	AUX
gc-790	66	4	the	the	DET
gc-790	66	5	most	most	ADV
gc-790	66	6	common	common	ADJ
gc-790	66	7	number	number	NOUN
gc-790	66	8	in	in	ADP
gc-790	66	9	practice	practice	NOUN
gc-790	66	10	because	because	SCONJ
gc-790	66	11	it	it	PRON
gc-790	66	12	gives	give	VERB
gc-790	66	13	a	a	DET
gc-790	66	14	level	level	NOUN
gc-790	66	15	of	of	ADP
gc-790	66	16	certainty	certainty	NOUN
gc-790	66	17	that	that	PRON
gc-790	66	18	is	be	AUX
gc-790	66	19	high	high	ADJ
gc-790	66	20	enough	enough	ADV
gc-790	66	21	for	for	ADP
gc-790	66	22	reservoir	reservoir	NOUN
gc-790	66	23	characterizations	characterization	NOUN
gc-790	66	24	.	.	PUNCT
gc-790	67	1	there	there	PRON
gc-790	67	2	are	be	VERB
gc-790	67	3	conditional	conditional	ADJ
gc-790	67	4	and	and	CCONJ
gc-790	67	5	unconditional	unconditional	ADJ
gc-790	67	6	simulations	simulation	NOUN
gc-790	67	7	.	.	PUNCT
gc-790	68	1	in	in	ADP
gc-790	68	2	conditional	conditional	ADJ
gc-790	68	3	simulations	simulation	NOUN
gc-790	68	4	,	,	PUNCT
gc-790	68	5	the	the	DET
gc-790	68	6	well	well	NOUN
gc-790	68	7	data	datum	NOUN
gc-790	68	8	are	be	AUX
gc-790	68	9	considered	consider	VERB
gc-790	68	10	as	as	ADP
gc-790	68	11	hard	hard	ADJ
gc-790	68	12	data	datum	NOUN
gc-790	68	13	,	,	PUNCT
gc-790	68	14	unlike	unlike	ADP
gc-790	68	15	in	in	ADP
gc-790	68	16	unconditional	unconditional	ADJ
gc-790	68	17	simulations	simulation	NOUN
gc-790	68	18	where	where	SCONJ
gc-790	68	19	these	these	DET
gc-790	68	20	data	datum	NOUN
gc-790	68	21	are	be	AUX
gc-790	68	22	not	not	PART
gc-790	68	23	constant	constant	ADJ
gc-790	68	24	.	.	PUNCT
gc-790	69	1	the	the	DET
gc-790	69	2	explanation	explanation	NOUN
gc-790	69	3	for	for	ADP
gc-790	69	4	this	this	DET
gc-790	69	5	approach	approach	NOUN
gc-790	69	6	is	be	AUX
gc-790	69	7	that	that	SCONJ
gc-790	69	8	well	well	ADJ
gc-790	69	9	data	datum	NOUN
gc-790	69	10	is	be	AUX
gc-790	69	11	just	just	ADV
gc-790	69	12	point	point	ADP
gc-790	69	13	data	datum	NOUN
gc-790	69	14	extrapolated	extrapolate	VERB
gc-790	69	15	to	to	ADP
gc-790	69	16	the	the	DET
gc-790	69	17	whole	whole	ADJ
gc-790	69	18	cell	cell	NOUN
gc-790	69	19	in	in	ADP
gc-790	69	20	the	the	DET
gc-790	69	21	3d	3d	PROPN
gc-790	69	22	reservoir	reservoir	PROPN
gc-790	69	23	model	model	NOUN
gc-790	69	24	.	.	PUNCT
gc-790	70	1	cell	cell	NOUN
gc-790	70	2	dimensions	dimension	NOUN
gc-790	70	3	in	in	ADP
gc-790	70	4	the	the	DET
gc-790	70	5	model	model	NOUN
gc-790	70	6	generally	generally	ADV
gc-790	70	7	are	be	AUX
gc-790	70	8	50	50	NUM
gc-790	70	9	x	x	SYM
gc-790	70	10	50	50	NUM
gc-790	70	11	or	or	CCONJ
gc-790	70	12	100	100	NUM
gc-790	70	13	x	x	SYM
gc-790	70	14	100	100	NUM
gc-790	70	15	m	m	NOUN
gc-790	70	16	and	and	CCONJ
gc-790	70	17	the	the	DET
gc-790	70	18	point	point	NOUN
gc-790	70	19	data	datum	NOUN
gc-790	70	20	again	again	ADV
gc-790	70	21	give	give	VERB
gc-790	70	22	some	some	DET
gc-790	70	23	uncertainty	uncertainty	NOUN
gc-790	70	24	.	.	PUNCT
gc-790	71	1	if	if	SCONJ
gc-790	71	2	the	the	DET
gc-790	71	3	well	well	NOUN
gc-790	71	4	had	have	AUX
gc-790	71	5	been	be	AUX
gc-790	71	6	positioned	position	VERB
gc-790	71	7	slightly	slightly	ADV
gc-790	71	8	differently	differently	ADV
gc-790	71	9	,	,	PUNCT
gc-790	71	10	the	the	DET
gc-790	71	11	cell	cell	NOUN
gc-790	71	12	in	in	ADP
gc-790	71	13	the	the	DET
gc-790	71	14	3d	3d	PROPN
gc-790	71	15	model	model	NOUN
gc-790	71	16	would	would	AUX
gc-790	71	17	probably	probably	ADV
gc-790	71	18	have	have	VERB
gc-790	71	19	different	different	ADJ
gc-790	71	20	property	property	NOUN
gc-790	71	21	values	value	NOUN
gc-790	71	22	.	.	PUNCT
gc-790	72	1	this	this	PRON
gc-790	72	2	is	be	AUX
gc-790	72	3	why	why	SCONJ
gc-790	72	4	the	the	DET
gc-790	72	5	point	point	NOUN
gc-790	72	6	data	datum	NOUN
gc-790	72	7	in	in	ADP
gc-790	72	8	unconditional	unconditional	ADJ
gc-790	72	9	simulations	simulation	NOUN
gc-790	72	10	is	be	AUX
gc-790	72	11	„	„	PUNCT
gc-790	72	12	surrounded	surround	VERB
gc-790	72	13	”	"	PUNCT
gc-790	72	14	with	with	ADP
gc-790	72	15	measured	measured	ADJ
gc-790	72	16	data	data	NOUN
gc-790	72	17	variance	variance	NOUN
gc-790	72	18	and	and	CCONJ
gc-790	72	19	the	the	DET
gc-790	72	20	cell	cell	NOUN
gc-790	72	21	value	value	NOUN
gc-790	72	22	will	will	AUX
gc-790	72	23	be	be	AUX
gc-790	72	24	chosen	choose	VERB
gc-790	72	25	within	within	ADP
gc-790	72	26	this	this	DET
gc-790	72	27	interval	interval	NOUN
gc-790	72	28	.	.	PUNCT
gc-790	73	1	generally	generally	ADV
gc-790	73	2	,	,	PUNCT
gc-790	73	3	conditional	conditional	ADJ
gc-790	73	4	simulations	simulation	NOUN
gc-790	73	5	are	be	AUX
gc-790	73	6	more	more	ADV
gc-790	73	7	often	often	ADV
gc-790	73	8	used	use	VERB
gc-790	73	9	.	.	PUNCT
gc-790	74	1	3.1	3.1	NUM
gc-790	74	2	.	.	PUNCT
gc-790	74	3	basics	basic	NOUN
gc-790	74	4	about	about	ADP
gc-790	74	5	ordinary	ordinary	ADJ
gc-790	74	6	kriging	kriging	NOUN
gc-790	74	7	method	method	NOUN
gc-790	74	8	the	the	DET
gc-790	74	9	kriging	krige	VERB
gc-790	74	10	method	method	NOUN
gc-790	74	11	is	be	AUX
gc-790	74	12	one	one	NUM
gc-790	74	13	of	of	ADP
gc-790	74	14	the	the	DET
gc-790	74	15	mathematically	mathematically	ADV
gc-790	74	16	advanced	advanced	ADJ
gc-790	74	17	deterministic	deterministic	ADJ
gc-790	74	18	interpolation	interpolation	NOUN
gc-790	74	19	methods	method	NOUN
gc-790	74	20	.	.	PUNCT
gc-790	75	1	it	it	PRON
gc-790	75	2	is	be	AUX
gc-790	75	3	used	use	VERB
gc-790	75	4	for	for	ADP
gc-790	75	5	variable	variable	ADJ
gc-790	75	6	value	value	NOUN
gc-790	75	7	estimation	estimation	NOUN
gc-790	75	8	at	at	ADP
gc-790	75	9	the	the	DET
gc-790	75	10	grid	grid	NOUN
gc-790	75	11	points	point	NOUN
gc-790	75	12	.	.	PUNCT
gc-790	76	1	the	the	DET
gc-790	76	2	result	result	NOUN
gc-790	76	3	is	be	AUX
gc-790	76	4	a	a	DET
gc-790	76	5	continuous	continuous	ADJ
gc-790	76	6	surface	surface	NOUN
gc-790	76	7	created	create	VERB
gc-790	76	8	from	from	ADP
gc-790	76	9	a	a	DET
gc-790	76	10	set	set	NOUN
gc-790	76	11	of	of	ADP
gc-790	76	12	input	input	NOUN
gc-790	76	13	points	point	NOUN
gc-790	76	14	(	(	PUNCT
gc-790	76	15	figure	figure	NOUN
gc-790	76	16	1	1	NUM
gc-790	76	17	)	)	PUNCT
gc-790	76	18	.	.	PUNCT
gc-790	77	1	this	this	DET
gc-790	77	2	method	method	NOUN
gc-790	77	3	was	be	AUX
gc-790	77	4	named	name	VERB
gc-790	77	5	by	by	ADP
gc-790	77	6	a	a	DET
gc-790	77	7	mining	mining	NOUN
gc-790	77	8	engineer	engineer	NOUN
gc-790	77	9	and	and	CCONJ
gc-790	77	10	professor	professor	NOUN
gc-790	77	11	at	at	ADP
gc-790	77	12	the	the	DET
gc-790	77	13	johannesburg	johannesburg	PROPN
gc-790	77	14	university	university	PROPN
gc-790	77	15	,	,	PUNCT
gc-790	77	16	d.g	d.g	PROPN
gc-790	77	17	.	.	PROPN
gc-790	77	18	krige	krige	PROPN
gc-790	77	19	,	,	PUNCT
gc-790	77	20	who	who	PRON
gc-790	77	21	developed	develop	VERB
gc-790	77	22	this	this	PRON
gc-790	77	23	to	to	PART
gc-790	77	24	estimate	estimate	VERB
gc-790	77	25	the	the	DET
gc-790	77	26	gold	gold	ADJ
gc-790	77	27	concentration	concentration	NOUN
gc-790	77	28	of	of	ADP
gc-790	77	29	a	a	DET
gc-790	77	30	mine	mine	NOUN
gc-790	77	31	(	(	PUNCT
gc-790	77	32	krige	krige	PROPN
gc-790	77	33	,	,	PUNCT
gc-790	77	34	1951	1951	NUM
gc-790	77	35	)	)	PUNCT
gc-790	77	36	.	.	PUNCT
gc-790	78	1	other	other	ADJ
gc-790	78	2	scientists	scientist	NOUN
gc-790	78	3	including	include	VERB
gc-790	78	4	de	de	X
gc-790	78	5	wijs	wijs	PROPN
gc-790	78	6	,	,	PUNCT
gc-790	78	7	(	(	PUNCT
gc-790	78	8	1951	1951	NUM
gc-790	78	9	)	)	PUNCT
gc-790	78	10	,	,	PUNCT
gc-790	78	11	matheron	matheron	NOUN
gc-790	78	12	,	,	PUNCT
gc-790	78	13	(	(	PUNCT
gc-790	78	14	1965	1965	NUM
gc-790	78	15	)	)	PUNCT
gc-790	78	16	,	,	PUNCT
gc-790	78	17	hohn	hohn	PROPN
gc-790	78	18	,	,	PUNCT
gc-790	78	19	(	(	PUNCT
gc-790	78	20	1988	1988	NUM
gc-790	78	21	)	)	PUNCT
gc-790	78	22	,	,	PUNCT
gc-790	78	23	isaaks	isaaks	PROPN
gc-790	78	24	&	&	CCONJ
gc-790	78	25	srivastava	srivastava	PROPN
gc-790	78	26	,	,	PUNCT
gc-790	78	27	(	(	PUNCT
gc-790	78	28	1989	1989	NUM
gc-790	78	29	)	)	PUNCT
gc-790	78	30	,	,	PUNCT
gc-790	78	31	and	and	CCONJ
gc-790	78	32	dubruble	dubruble	ADJ
gc-790	78	33	,	,	PUNCT
gc-790	78	34	(	(	PUNCT
gc-790	78	35	1998	1998	NUM
gc-790	78	36	)	)	PUNCT
gc-790	78	37	continued	continue	VERB
gc-790	78	38	to	to	PART
gc-790	78	39	develop	develop	VERB
gc-790	78	40	the	the	DET
gc-790	78	41	method	method	NOUN
gc-790	78	42	.	.	PUNCT
gc-790	79	1	the	the	DET
gc-790	79	2	goal	goal	NOUN
gc-790	79	3	of	of	ADP
gc-790	79	4	the	the	DET
gc-790	79	5	method	method	NOUN
gc-790	79	6	is	be	AUX
gc-790	79	7	to	to	PART
gc-790	79	8	determine	determine	VERB
gc-790	79	9	spatial	spatial	ADJ
gc-790	79	10	relationships	relationship	NOUN
gc-790	79	11	between	between	ADP
gc-790	79	12	real	real	ADJ
gc-790	79	13	,	,	PUNCT
gc-790	79	14	measured	measure	VERB
gc-790	79	15	data	datum	NOUN
gc-790	79	16	and	and	CCONJ
gc-790	79	17	the	the	DET
gc-790	79	18	location	location	NOUN
gc-790	79	19	where	where	SCONJ
gc-790	79	20	the	the	DET
gc-790	79	21	value	value	NOUN
gc-790	79	22	should	should	AUX
gc-790	79	23	be	be	AUX
gc-790	79	24	estimated	estimate	VERB
gc-790	79	25	.	.	PUNCT
gc-790	80	1	as	as	ADP
gc-790	80	2	a	a	DET
gc-790	80	3	first	first	ADJ
gc-790	80	4	step	step	NOUN
gc-790	80	5	of	of	ADP
gc-790	80	6	kriging	krige	VERB
gc-790	80	7	mapping	mapping	NOUN
gc-790	80	8	,	,	PUNCT
gc-790	80	9	variogram	variogram	NOUN
gc-790	80	10	analysis	analysis	NOUN
gc-790	80	11	must	must	AUX
gc-790	80	12	be	be	AUX
gc-790	80	13	performed	perform	VERB
gc-790	80	14	.	.	PUNCT
gc-790	81	1	therefore	therefore	ADV
gc-790	81	2	,	,	PUNCT
gc-790	81	3	except	except	SCONJ
gc-790	81	4	for	for	ADP
gc-790	81	5	the	the	DET
gc-790	81	6	distance	distance	NOUN
gc-790	81	7	between	between	ADP
gc-790	81	8	a	a	DET
gc-790	81	9	measured	measure	VERB
gc-790	81	10	and	and	CCONJ
gc-790	81	11	estimated	estimated	ADJ
gc-790	81	12	location	location	NOUN
gc-790	81	13	,	,	PUNCT
gc-790	81	14	the	the	DET
gc-790	81	15	local	local	ADJ
gc-790	81	16	or	or	CCONJ
gc-790	81	17	kriging	krige	VERB
gc-790	81	18	variance	variance	NOUN
gc-790	81	19	was	be	AUX
gc-790	81	20	taken	take	VERB
gc-790	81	21	into	into	ADP
gc-790	81	22	account	account	NOUN
gc-790	81	23	.	.	PUNCT
gc-790	82	1	this	this	PRON
gc-790	82	2	means	mean	VERB
gc-790	82	3	that	that	SCONJ
gc-790	82	4	the	the	DET
gc-790	82	5	difference	difference	NOUN
gc-790	82	6	between	between	ADP
gc-790	82	7	the	the	DET
gc-790	82	8	expected	expect	VERB
gc-790	82	9	and	and	CCONJ
gc-790	82	10	estimated	estimated	ADJ
gc-790	82	11	values	value	NOUN
gc-790	82	12	is	be	AUX
gc-790	82	13	minimal	minimal	ADJ
gc-790	82	14	.	.	PUNCT
gc-790	83	1	during	during	ADP
gc-790	83	2	kriging	krige	VERB
gc-790	83	3	estimation	estimation	NOUN
gc-790	83	4	each	each	DET
gc-790	83	5	data	datum	NOUN
gc-790	83	6	item	item	NOUN
gc-790	83	7	is	be	AUX
gc-790	83	8	weighted	weight	VERB
gc-790	83	9	by	by	ADP
gc-790	83	10	the	the	DET
gc-790	83	11	weighting	weighting	NOUN
gc-790	83	12	coefficient	coefficient	NOUN
gc-790	83	13	(	(	PUNCT
gc-790	83	14	λ	λ	NOUN
gc-790	83	15	)	)	PUNCT
gc-790	83	16	.	.	PUNCT
gc-790	84	1	kriging	krige	VERB
gc-790	84	2	estimation	estimation	NOUN
gc-790	84	3	is	be	AUX
gc-790	84	4	given	give	VERB
gc-790	84	5	by	by	ADP
gc-790	84	6	the	the	DET
gc-790	84	7	simple	simple	ADJ
gc-790	84	8	equation	equation	NOUN
gc-790	84	9	(	(	PUNCT
gc-790	84	10	1	1	NUM
gc-790	84	11	):	):	PUNCT
gc-790	84	12	∑	∑	PUNCT
gc-790	84	13	=	=	SYM
gc-790	84	14	⋅=	⋅=	PROPN
gc-790	85	1	n	n	INTJ
gc-790	85	2	i	i	PRON
gc-790	85	3	iik	iik	VERB
gc-790	85	4	zz	zz	PROPN
gc-790	85	5	1	1	NUM
gc-790	85	6	l	l	NOUN
gc-790	85	7	(	(	PUNCT
gc-790	85	8	1	1	NUM
gc-790	85	9	)	)	PUNCT
gc-790	85	10	where	where	SCONJ
gc-790	85	11	:	:	PUNCT
gc-790	85	12	zk	zk	PROPN
gc-790	85	13	–	–	PUNCT
gc-790	85	14	estimated	estimate	VERB
gc-790	85	15	value	value	NOUN
gc-790	85	16	λi	λi	NOUN
gc-790	85	17	–	–	PUNCT
gc-790	85	18	weighting	weight	VERB
gc-790	85	19	coefficient	coefficient	NOUN
gc-790	85	20	at	at	ADP
gc-790	85	21	the	the	DET
gc-790	85	22	„	„	PUNCT
gc-790	85	23	i	i	PROPN
gc-790	85	24	“	"	PUNCT
gc-790	85	25	location	location	NOUN
gc-790	85	26	zi	zi	NOUN
gc-790	85	27	–	–	PUNCT
gc-790	85	28	real	real	ADJ
gc-790	85	29	,	,	PUNCT
gc-790	85	30	measured	measure	VERB
gc-790	85	31	data	datum	NOUN
gc-790	85	32	at	at	ADP
gc-790	85	33	the	the	DET
gc-790	85	34	„	„	PUNCT
gc-790	85	35	i	i	PROPN
gc-790	85	36	“	"	PUNCT
gc-790	85	37	location	location	VERB
gc-790	85	38	the	the	PRON
gc-790	85	39	most	most	ADV
gc-790	85	40	often	often	ADV
gc-790	85	41	used	use	VERB
gc-790	85	42	kriging	krige	VERB
gc-790	85	43	technique	technique	NOUN
gc-790	85	44	is	be	AUX
gc-790	85	45	ordinary	ordinary	ADJ
gc-790	85	46	kriging	kriging	NOUN
gc-790	85	47	,	,	PUNCT
gc-790	85	48	where	where	SCONJ
gc-790	85	49	the	the	DET
gc-790	85	50	sum	sum	NOUN
gc-790	85	51	of	of	ADP
gc-790	85	52	all	all	DET
gc-790	85	53	weighting	weight	VERB
gc-790	85	54	coefficients	coefficient	NOUN
gc-790	85	55	must	must	AUX
gc-790	85	56	be	be	AUX
gc-790	85	57	1	1	NUM
gc-790	85	58	.	.	PUNCT
gc-790	86	1	an	an	DET
gc-790	86	2	expression	expression	NOUN
gc-790	86	3	for	for	ADP
gc-790	86	4	the	the	DET
gc-790	86	5	ordinary	ordinary	ADJ
gc-790	86	6	kriging	krige	VERB
gc-790	86	7	estimation	estimation	NOUN
gc-790	86	8	technique	technique	NOUN
gc-790	86	9	is	be	AUX
gc-790	86	10	given	give	VERB
gc-790	86	11	by	by	ADP
gc-790	86	12	the	the	DET
gc-790	86	13	matrix	matrix	NOUN
gc-790	86	14	equation	equation	NOUN
gc-790	86	15	(	(	PUNCT
gc-790	86	16	2	2	NUM
gc-790	86	17	):	):	PUNCT
gc-790	86	18	figure	figure	NOUN
gc-790	86	19	1	1	NUM
gc-790	86	20	.	.	PUNCT
gc-790	87	1	the	the	DET
gc-790	87	2	process	process	NOUN
gc-790	87	3	of	of	ADP
gc-790	87	4	ordinary	ordinary	ADJ
gc-790	87	5	kriging	krige	VERB
gc-790	87	6	(	(	PUNCT
gc-790	87	7	http://www.bisolutions.us/a-brief-introduction-to-spatial-interpolation.php	http://www.bisolutions.us/a-brief-introduction-to-spatial-interpolation.php	NOUN
gc-790	87	8	)	)	PUNCT
gc-790	87	9	g	g	NOUN
gc-790	87	10	eologia	eologia	NOUN
gc-790	87	11	c	c	PROPN
gc-790	87	12	roatica	roatica	ADV
gc-790	87	13	novak	novak	PROPN
gc-790	87	14	zelenika	zelenika	X
gc-790	87	15	et	et	PROPN
gc-790	87	16	al	al	PROPN
gc-790	87	17	.	.	PROPN
gc-790	87	18	:	:	PUNCT
gc-790	87	19	application	application	NOUN
gc-790	87	20	of	of	ADP
gc-790	87	21	deterministic	deterministic	ADJ
gc-790	87	22	and	and	CCONJ
gc-790	87	23	stochastic	stochastic	ADJ
gc-790	87	24	geostatistical	geostatistical	ADJ
gc-790	87	25	methods	method	NOUN
gc-790	87	26	in	in	ADP
gc-790	87	27	petrophysical	petrophysical	ADJ
gc-790	87	28	modelling	modelling	NOUN
gc-790	87	29	–	–	PUNCT
gc-790	87	30	a	a	DET
gc-790	87	31	case	case	NOUN
gc-790	87	32	study	study	NOUN
gc-790	87	33	of	of	ADP
gc-790	87	34	upper	upper	ADJ
gc-790	87	35	...	...	PUNCT
gc-790	87	36	107	107	NUM
gc-790	87	37	1	1	NUM
gc-790	87	38	1	1	NUM
gc-790	87	39	1	1	NUM
gc-790	87	40	2	2	NUM
gc-790	87	41	1	1	NUM
gc-790	87	42	1	1	NUM
gc-790	87	43	1	1	NUM
gc-790	87	44	2	2	NUM
gc-790	87	45	1	1	NUM
gc-790	87	46	2	2	NUM
gc-790	87	47	2	2	NUM
gc-790	87	48	2	2	NUM
gc-790	87	49	2	2	NUM
gc-790	87	50	2	2	NUM
gc-790	87	51	1	1	NUM
gc-790	87	52	2	2	NUM
gc-790	87	53	1	1	NUM
gc-790	87	54	1	1	NUM
gc-790	87	55	1	1	NUM
gc-790	87	56	1	1	NUM
gc-790	87	57	1	1	NUM
gc-790	87	58	1	1	NUM
gc-790	87	59	0	0	NUM
gc-790	87	60	1	1	NUM
gc-790	87	61	n	n	CCONJ
gc-790	87	62	n	n	CCONJ
gc-790	87	63	n	n	CCONJ
gc-790	87	64	n	n	CCONJ
gc-790	87	65	n	n	CCONJ
gc-790	87	66	n	n	CCONJ
gc-790	87	67	n	n	CCONJ
gc-790	87	68	n	n	CCONJ
gc-790	87	69	(	(	PUNCT
gc-790	87	70	z	z	NOUN
gc-790	87	71	z	z	NOUN
gc-790	87	72	)	)	PUNCT
gc-790	88	1	(	(	PUNCT
gc-790	88	2	z	z	NOUN
gc-790	88	3	z	z	NOUN
gc-790	88	4	)	)	PUNCT
gc-790	88	5	...	...	PUNCT
gc-790	89	1	(	(	PUNCT
gc-790	89	2	z	z	NOUN
gc-790	89	3	z	z	NOUN
gc-790	89	4	)	)	PUNCT
gc-790	90	1	(	(	PUNCT
gc-790	90	2	x	x	SYM
gc-790	90	3	x	x	X
gc-790	90	4	)	)	PUNCT
gc-790	90	5	(	(	PUNCT
gc-790	90	6	z	z	NOUN
gc-790	90	7	z	z	NOUN
gc-790	90	8	)	)	PUNCT
gc-790	90	9	(	(	PUNCT
gc-790	90	10	z	z	NOUN
gc-790	90	11	z	z	NOUN
gc-790	90	12	)	)	PUNCT
gc-790	90	13	...	...	PUNCT
gc-790	91	1	(	(	PUNCT
gc-790	91	2	z	z	NOUN
gc-790	91	3	z	z	NOUN
gc-790	91	4	)	)	PUNCT
gc-790	92	1	(	(	PUNCT
gc-790	92	2	x	x	SYM
gc-790	92	3	x	x	X
gc-790	92	4	)	)	PUNCT
gc-790	92	5	(	(	PUNCT
gc-790	92	6	z	z	NOUN
gc-790	92	7	z	z	NOUN
gc-790	92	8	)	)	PUNCT
gc-790	92	9	(	(	PUNCT
gc-790	92	10	z	z	NOUN
gc-790	92	11	z	z	NOUN
gc-790	92	12	)	)	PUNCT
gc-790	92	13	...	...	PUNCT
gc-790	93	1	(	(	PUNCT
gc-790	93	2	z	z	NOUN
gc-790	93	3	z	z	NOUN
gc-790	93	4	)	)	PUNCT
gc-790	94	1	(	(	PUNCT
gc-790	94	2	x	x	SYM
gc-790	94	3	x	x	X
gc-790	94	4	)	)	PUNCT
gc-790	94	5	...	...	PUNCT
gc-790	95	1	g	g	NOUN
gc-790	95	2	g	g	PROPN
gc-790	95	3	g	g	PROPN
gc-790	95	4	l	l	NOUN
gc-790	95	5	g	g	NOUN
gc-790	95	6	g	g	PROPN
gc-790	95	7	g	g	PROPN
gc-790	95	8	g	g	PROPN
gc-790	95	9	l	l	NOUN
gc-790	95	10	g	g	NOUN
gc-790	95	11	g	g	PROPN
gc-790	95	12	g	g	PROPN
gc-790	95	13	g	g	PROPN
gc-790	95	14	l	l	NOUN
gc-790	95	15	g	g	PROPN
gc-790	95	16	m	m	PROPN
gc-790	95	17			PROPN
gc-790	95	18			PROPN
gc-790	95	19			NOUN
gc-790	95	20			PROPN
gc-790	95	21			VERB
gc-790	95	22	−	−	NOUN
gc-790	95	23	−	−	PROPN
gc-790	95	24	−	−	PROPN
gc-790	95	25	−	−	PROPN
gc-790	95	26			ADJ
gc-790	95	27			PROPN
gc-790	95	28			NOUN
gc-790	95	29			PROPN
gc-790	95	30			ADJ
gc-790	95	31	−	−	ADJ
gc-790	95	32	−	−	PROPN
gc-790	95	33	−	−	PROPN
gc-790	95	34	−	−	PUNCT
gc-790	95	35			PROPN
gc-790	95	36			NOUN
gc-790	95	37			PROPN
gc-790	95	38			NOUN
gc-790	96	1			PROPN
gc-790	96	2			NOUN
gc-790	96	3			PROPN
gc-790	96	4			NOUN
gc-790	96	5			PROPN
gc-790	96	6			ADJ
gc-790	96	7	⋅	⋅	PUNCT
gc-790	97	1	=	=	PUNCT
gc-790	98	1			ADJ
gc-790	99	1			PROPN
gc-790	99	2			NOUN
gc-790	99	3			PROPN
gc-790	99	4			NOUN
gc-790	99	5			PROPN
gc-790	99	6	−	−	PROPN
gc-790	99	7	−	−	PROPN
gc-790	99	8	−	−	PROPN
gc-790	99	9	−	−	PUNCT
gc-790	99	10			PROPN
gc-790	99	11			NOUN
gc-790	99	12			PROPN
gc-790	99	13			NOUN
gc-790	99	14			PROPN
gc-790	99	15			NOUN
gc-790	99	16			PROPN
gc-790	99	17			NOUN
gc-790	99	18			PROPN
gc-790	99	19			ADJ
gc-790	99	20			PROPN
gc-790	99	21			NOUN
gc-790	99	22			NOUN
gc-790	99	23			NOUN
gc-790	99	24			NOUN
gc-790	99	25			NOUN
gc-790	99	26			VERB
gc-790	99	27	(	(	PUNCT
gc-790	99	28	2	2	NUM
gc-790	99	29	)	)	PUNCT
gc-790	99	30	where	where	SCONJ
gc-790	99	31	:	:	PUNCT
gc-790	99	32	γ	γ	PROPN
gc-790	99	33	–	–	PUNCT
gc-790	99	34	variogram	variogram	NOUN
gc-790	99	35	value	value	NOUN
gc-790	99	36	;	;	PUNCT
gc-790	99	37	z1	z1	PROPN
gc-790	99	38	....	....	SYM
gc-790	99	39	zn	zn	PROPN
gc-790	99	40	–	–	PUNCT
gc-790	99	41	real	real	ADJ
gc-790	99	42	,	,	PUNCT
gc-790	99	43	measured	measure	VERB
gc-790	99	44	value	value	NOUN
gc-790	99	45	at	at	ADP
gc-790	99	46	the	the	DET
gc-790	99	47	locations	location	NOUN
gc-790	99	48	1	1	NUM
gc-790	99	49	to	to	ADP
gc-790	99	50	n	n	CCONJ
gc-790	99	51	;	;	PUNCT
gc-790	99	52	x	x	X
gc-790	99	53	–	–	PUNCT
gc-790	99	54	location	location	NOUN
gc-790	99	55	where	where	SCONJ
gc-790	99	56	new	new	ADJ
gc-790	99	57	value	value	NOUN
gc-790	99	58	should	should	AUX
gc-790	99	59	be	be	AUX
gc-790	99	60	estimated	estimate	VERB
gc-790	99	61	;	;	PUNCT
gc-790	99	62	μ	μ	PROPN
gc-790	99	63	–	–	PUNCT
gc-790	99	64	lagrange	lagrange	PROPN
gc-790	99	65	multiplicator	multiplicator	PROPN
gc-790	99	66	.	.	PROPN
gc-790	99	67	3.2	3.2	NUM
gc-790	99	68	.	.	PUNCT
gc-790	100	1	basics	basic	NOUN
gc-790	100	2	about	about	ADP
gc-790	100	3	sequential	sequential	ADJ
gc-790	100	4	gaussian	gaussian	ADJ
gc-790	100	5	simulations	simulation	NOUN
gc-790	100	6	sequential	sequential	ADJ
gc-790	100	7	gaussian	gaussian	ADJ
gc-790	100	8	simulations	simulation	NOUN
gc-790	100	9	are	be	AUX
gc-790	100	10	very	very	ADV
gc-790	100	11	well	well	ADV
gc-790	100	12	described	describe	VERB
gc-790	100	13	in	in	ADP
gc-790	100	14	geiger	geiger	PROPN
gc-790	100	15	(	(	PUNCT
gc-790	100	16	2006	2006	NUM
gc-790	100	17	)	)	PUNCT
gc-790	100	18	and	and	CCONJ
gc-790	100	19	malvić	malvić	NOUN
gc-790	100	20	(	(	PUNCT
gc-790	100	21	2008	2008	NUM
gc-790	100	22	)	)	PUNCT
gc-790	100	23	.	.	PUNCT
gc-790	101	1	basically	basically	ADV
gc-790	101	2	,	,	PUNCT
gc-790	101	3	they	they	PRON
gc-790	101	4	are	be	AUX
gc-790	101	5	not	not	PART
gc-790	101	6	an	an	DET
gc-790	101	7	interpolation	interpolation	NOUN
gc-790	101	8	method	method	NOUN
gc-790	101	9	,	,	PUNCT
gc-790	101	10	but	but	CCONJ
gc-790	101	11	after	after	ADP
gc-790	101	12	normal	normal	ADJ
gc-790	101	13	transformation	transformation	NOUN
gc-790	101	14	,	,	PUNCT
gc-790	101	15	the	the	DET
gc-790	101	16	data	datum	NOUN
gc-790	101	17	are	be	AUX
gc-790	101	18	most	most	ADV
gc-790	101	19	often	often	ADV
gc-790	101	20	defined	define	VERB
gc-790	101	21	by	by	ADP
gc-790	101	22	the	the	DET
gc-790	101	23	properties	property	NOUN
gc-790	101	24	of	of	ADP
gc-790	101	25	a	a	DET
gc-790	101	26	normal	normal	ADJ
gc-790	101	27	distribution	distribution	NOUN
gc-790	101	28	and	and	CCONJ
gc-790	101	29	estimation	estimation	NOUN
gc-790	101	30	is	be	AUX
gc-790	101	31	performed	perform	VERB
gc-790	101	32	in	in	ADP
gc-790	101	33	cells	cell	NOUN
gc-790	101	34	without	without	ADP
gc-790	101	35	well	well	ADV
gc-790	101	36	data	datum	NOUN
gc-790	101	37	to	to	PART
gc-790	101	38	produce	produce	VERB
gc-790	101	39	simulations	simulation	NOUN
gc-790	101	40	.	.	PUNCT
gc-790	102	1	a	a	DET
gc-790	102	2	random	random	ADJ
gc-790	102	3	choice	choice	NOUN
gc-790	102	4	of	of	ADP
gc-790	102	5	location	location	NOUN
gc-790	102	6	is	be	AUX
gc-790	102	7	used	use	VERB
gc-790	102	8	to	to	PART
gc-790	102	9	estimate	estimate	VERB
gc-790	102	10	one	one	NUM
gc-790	102	11	cell	cell	NOUN
gc-790	102	12	(	(	PUNCT
gc-790	102	13	the	the	DET
gc-790	102	14	first	first	ADJ
gc-790	102	15	introduction	introduction	NOUN
gc-790	102	16	of	of	ADP
gc-790	102	17	randomness	randomness	NOUN
gc-790	102	18	,	,	PUNCT
gc-790	102	19	i.e.	i.e.	X
gc-790	102	20	,	,	PUNCT
gc-790	102	21	stochastic	stochastic	NOUN
gc-790	102	22	)	)	PUNCT
gc-790	102	23	.	.	PUNCT
gc-790	103	1	the	the	DET
gc-790	103	2	value	value	NOUN
gc-790	103	3	of	of	ADP
gc-790	103	4	the	the	DET
gc-790	103	5	selected	select	VERB
gc-790	103	6	cell	cell	NOUN
gc-790	103	7	is	be	AUX
gc-790	103	8	estimated	estimate	VERB
gc-790	103	9	mostly	mostly	ADV
gc-790	103	10	by	by	ADP
gc-790	103	11	kriging	krige	VERB
gc-790	103	12	from	from	ADP
gc-790	103	13	other	other	ADJ
gc-790	103	14	points	point	NOUN
gc-790	103	15	in	in	ADP
gc-790	103	16	a	a	DET
gc-790	103	17	spatial	spatial	ADJ
gc-790	103	18	model	model	NOUN
gc-790	103	19	.	.	PUNCT
gc-790	104	1	it	it	PRON
gc-790	104	2	is	be	AUX
gc-790	104	3	important	important	ADJ
gc-790	104	4	to	to	PART
gc-790	104	5	note	note	VERB
gc-790	104	6	that	that	SCONJ
gc-790	104	7	these	these	DET
gc-790	104	8	points	point	NOUN
gc-790	104	9	can	can	AUX
gc-790	104	10	be	be	AUX
gc-790	104	11	hard	hard	ADJ
gc-790	104	12	data	datum	NOUN
gc-790	104	13	or	or	CCONJ
gc-790	104	14	previously	previously	ADV
gc-790	104	15	simulated	simulate	VERB
gc-790	104	16	points	point	NOUN
gc-790	104	17	.	.	PUNCT
gc-790	105	1	after	after	SCONJ
gc-790	105	2	a	a	DET
gc-790	105	3	cell	cell	NOUN
gc-790	105	4	is	be	AUX
gc-790	105	5	estimated	estimate	VERB
gc-790	105	6	deterministically	deterministically	ADV
gc-790	105	7	,	,	PUNCT
gc-790	105	8	a	a	DET
gc-790	105	9	new	new	ADJ
gc-790	105	10	value	value	NOUN
gc-790	105	11	is	be	AUX
gc-790	105	12	„	„	PUNCT
gc-790	105	13	surrounded	surround	VERB
gc-790	105	14	”	"	PUNCT
gc-790	105	15	by	by	ADP
gc-790	105	16	the	the	DET
gc-790	105	17	interval	interval	NOUN
gc-790	105	18	±3s	±3s	NOUN
gc-790	105	19	(	(	PUNCT
gc-790	105	20	using	use	VERB
gc-790	105	21	the	the	DET
gc-790	105	22	variance	variance	NOUN
gc-790	105	23	of	of	ADP
gc-790	105	24	the	the	DET
gc-790	105	25	„	„	PUNCT
gc-790	105	26	zero	zero	NUM
gc-790	105	27	”	"	PUNCT
gc-790	105	28	solution	solution	NOUN
gc-790	105	29	)	)	PUNCT
gc-790	105	30	.	.	PUNCT
gc-790	106	1	using	use	VERB
gc-790	106	2	a	a	DET
gc-790	106	3	random	random	ADJ
gc-790	106	4	choice	choice	NOUN
gc-790	106	5	(	(	PUNCT
gc-790	106	6	the	the	DET
gc-790	106	7	second	second	ADJ
gc-790	106	8	introduction	introduction	NOUN
gc-790	106	9	of	of	ADP
gc-790	106	10	randomness	randomness	NOUN
gc-790	106	11	)	)	PUNCT
gc-790	106	12	,	,	PUNCT
gc-790	106	13	any	any	DET
gc-790	106	14	value	value	NOUN
gc-790	106	15	from	from	ADP
gc-790	106	16	this	this	DET
gc-790	106	17	interval	interval	NOUN
gc-790	106	18	can	can	AUX
gc-790	106	19	be	be	AUX
gc-790	106	20	accepted	accept	VERB
gc-790	106	21	as	as	ADP
gc-790	106	22	simulated	simulate	VERB
gc-790	106	23	for	for	ADP
gc-790	106	24	the	the	DET
gc-790	106	25	cell	cell	NOUN
gc-790	106	26	.	.	PUNCT
gc-790	107	1	the	the	DET
gc-790	107	2	procedure	procedure	NOUN
gc-790	107	3	is	be	AUX
gc-790	107	4	repeated	repeat	VERB
gc-790	107	5	until	until	SCONJ
gc-790	107	6	estimates	estimate	NOUN
gc-790	107	7	of	of	ADP
gc-790	107	8	all	all	DET
gc-790	107	9	cells	cell	NOUN
gc-790	107	10	have	have	AUX
gc-790	107	11	been	be	AUX
gc-790	107	12	made	make	VERB
gc-790	107	13	(	(	PUNCT
gc-790	107	14	figure	figure	NOUN
gc-790	107	15	2	2	NUM
gc-790	107	16	)	)	PUNCT
gc-790	107	17	.	.	PUNCT
gc-790	108	1	it	it	PRON
gc-790	108	2	is	be	AUX
gc-790	108	3	important	important	ADJ
gc-790	108	4	to	to	PART
gc-790	108	5	emphasize	emphasize	VERB
gc-790	108	6	that	that	SCONJ
gc-790	108	7	all	all	DET
gc-790	108	8	realiza­	realiza­	PROPN
gc-790	108	9	tions	tion	NOUN
gc-790	108	10	are	be	AUX
gc-790	108	11	equally	equally	ADV
gc-790	108	12	probable	probable	ADJ
gc-790	108	13	.	.	PUNCT
gc-790	109	1	it	it	PRON
gc-790	109	2	is	be	AUX
gc-790	109	3	quite	quite	ADV
gc-790	109	4	clear	clear	ADJ
gc-790	109	5	that	that	SCONJ
gc-790	109	6	the	the	DET
gc-790	109	7	more	more	ADJ
gc-790	109	8	realizations	realization	NOUN
gc-790	109	9	there	there	PRON
gc-790	109	10	are	be	VERB
gc-790	109	11	the	the	DET
gc-790	109	12	lower	low	ADJ
gc-790	109	13	the	the	DET
gc-790	109	14	uncertainty	uncertainty	NOUN
gc-790	109	15	is	be	AUX
gc-790	109	16	.	.	PUNCT
gc-790	110	1	10	10	NUM
gc-790	110	2	realizations	realization	NOUN
gc-790	110	3	,	,	PUNCT
gc-790	110	4	which	which	PRON
gc-790	110	5	are	be	AUX
gc-790	110	6	performed	perform	VERB
gc-790	110	7	in	in	ADP
gc-790	110	8	the	the	DET
gc-790	110	9	first	first	ADJ
gc-790	110	10	phase	phase	NOUN
gc-790	110	11	of	of	ADP
gc-790	110	12	this	this	DET
gc-790	110	13	study	study	NOUN
gc-790	110	14	could	could	AUX
gc-790	110	15	just	just	ADV
gc-790	110	16	provide	provide	VERB
gc-790	110	17	a	a	DET
gc-790	110	18	rough	rough	ADJ
gc-790	110	19	insight	insight	NOUN
gc-790	110	20	into	into	ADP
gc-790	110	21	the	the	DET
gc-790	110	22	area	area	NOUN
gc-790	110	23	of	of	ADP
gc-790	110	24	the	the	DET
gc-790	110	25	highest	high	ADJ
gc-790	110	26	uncertainty	uncertainty	NOUN
gc-790	110	27	in	in	ADP
gc-790	110	28	the	the	DET
gc-790	110	29	analysed	analyse	VERB
gc-790	110	30	reservoirs	reservoir	NOUN
gc-790	110	31	,	,	PUNCT
gc-790	110	32	which	which	PRON
gc-790	110	33	later	later	ADV
gc-790	110	34	was	be	AUX
gc-790	110	35	actually	actually	ADV
gc-790	110	36	the	the	DET
gc-790	110	37	area	area	NOUN
gc-790	110	38	with	with	ADP
gc-790	110	39	few	few	ADJ
gc-790	110	40	or	or	CCONJ
gc-790	110	41	even	even	ADV
gc-790	110	42	without	without	ADP
gc-790	110	43	any	any	DET
gc-790	110	44	well	well	ADJ
gc-790	110	45	data	datum	NOUN
gc-790	110	46	.	.	PUNCT
gc-790	111	1	although	although	SCONJ
gc-790	111	2	all	all	DET
gc-790	111	3	realizations	realization	NOUN
gc-790	111	4	are	be	AUX
gc-790	111	5	equally	equally	ADV
gc-790	111	6	probable	probable	ADJ
gc-790	111	7	,	,	PUNCT
gc-790	111	8	it	it	PRON
gc-790	111	9	is	be	AUX
gc-790	111	10	impossible	impossible	ADJ
gc-790	111	11	and	and	CCONJ
gc-790	111	12	meaningless	meaningless	ADJ
gc-790	111	13	to	to	PART
gc-790	111	14	show	show	VERB
gc-790	111	15	them	they	PRON
gc-790	111	16	all	all	PRON
gc-790	111	17	.	.	PUNCT
gc-790	112	1	realizations	realization	NOUN
gc-790	112	2	p5	p5	PROPN
gc-790	112	3	,	,	PUNCT
gc-790	112	4	p25	p25	NOUN
gc-790	112	5	,	,	PUNCT
gc-790	112	6	p50	p50	NOUN
gc-790	112	7	,	,	PUNCT
gc-790	112	8	p75	p75	ADJ
gc-790	112	9	and	and	CCONJ
gc-790	112	10	p95	p95	NOUN
gc-790	112	11	or	or	CCONJ
gc-790	112	12	just	just	ADV
gc-790	112	13	p5	p5	ADJ
gc-790	112	14	,	,	PUNCT
gc-790	112	15	p50	p50	NOUN
gc-790	112	16	and	and	CCONJ
gc-790	112	17	p95	p95	NOUN
gc-790	112	18	are	be	AUX
gc-790	112	19	most	most	ADV
gc-790	112	20	often	often	ADV
gc-790	112	21	presented	present	VERB
gc-790	112	22	.	.	PUNCT
gc-790	113	1	realization	realization	NOUN
gc-790	113	2	p5	p5	PROPN
gc-790	113	3	shows	show	VERB
gc-790	113	4	a	a	DET
gc-790	113	5	solution	solution	NOUN
gc-790	113	6	where	where	SCONJ
gc-790	113	7	5	5	NUM
gc-790	113	8	%	%	NOUN
gc-790	113	9	of	of	ADP
gc-790	113	10	all	all	DET
gc-790	113	11	solutions	solution	NOUN
gc-790	113	12	have	have	VERB
gc-790	113	13	lower	low	ADJ
gc-790	113	14	values	value	NOUN
gc-790	113	15	and	and	CCONJ
gc-790	113	16	realization	realization	NOUN
gc-790	113	17	p95	p95	NOUN
gc-790	113	18	shows	show	VERB
gc-790	113	19	solution	solution	NOUN
gc-790	113	20	where	where	SCONJ
gc-790	113	21	5	5	NUM
gc-790	113	22	%	%	NOUN
gc-790	113	23	of	of	ADP
gc-790	113	24	all	all	DET
gc-790	113	25	solutions	solution	NOUN
gc-790	113	26	have	have	VERB
gc-790	113	27	higher	high	ADJ
gc-790	113	28	values	value	NOUN
gc-790	113	29	.	.	PUNCT
gc-790	114	1	such	such	ADJ
gc-790	114	2	interpretation	interpretation	NOUN
gc-790	114	3	is	be	AUX
gc-790	114	4	valid	valid	ADJ
gc-790	114	5	for	for	ADP
gc-790	114	6	all	all	DET
gc-790	114	7	other	other	ADJ
gc-790	114	8	p	p	NOUN
gc-790	114	9	realizations	realization	NOUN
gc-790	114	10	.	.	PUNCT
gc-790	115	1	following	follow	VERB
gc-790	115	2	this	this	DET
gc-790	115	3	pattern	pattern	NOUN
gc-790	115	4	,	,	PUNCT
gc-790	115	5	realization	realization	NOUN
gc-790	115	6	p50	p50	NOUN
gc-790	115	7	should	should	AUX
gc-790	115	8	represent	represent	VERB
gc-790	115	9	a	a	DET
gc-790	115	10	mean	mean	ADJ
gc-790	115	11	value	value	NOUN
gc-790	115	12	because	because	SCONJ
gc-790	115	13	50	50	NUM
gc-790	115	14	%	%	NOUN
gc-790	115	15	of	of	ADP
gc-790	115	16	all	all	DET
gc-790	115	17	realizations	realization	NOUN
gc-790	115	18	have	have	VERB
gc-790	115	19	higher	high	ADJ
gc-790	115	20	,	,	PUNCT
gc-790	115	21	and	and	CCONJ
gc-790	115	22	50	50	NUM
gc-790	115	23	%	%	NOUN
gc-790	115	24	have	have	VERB
gc-790	115	25	lower	low	ADJ
gc-790	115	26	values	value	NOUN
gc-790	115	27	than	than	ADP
gc-790	115	28	the	the	DET
gc-790	115	29	selected	select	VERB
gc-790	115	30	one	one	NUM
gc-790	115	31	.	.	PUNCT
gc-790	116	1	the	the	DET
gc-790	116	2	main	main	ADJ
gc-790	116	3	advantage	advantage	NOUN
gc-790	116	4	of	of	ADP
gc-790	116	5	sgs	sgs	PROPN
gc-790	116	6	is	be	AUX
gc-790	116	7	the	the	DET
gc-790	116	8	possibility	possibility	NOUN
gc-790	116	9	for	for	ADP
gc-790	116	10	estimating	estimate	VERB
gc-790	116	11	values	value	NOUN
gc-790	116	12	in	in	ADP
gc-790	116	13	all	all	DET
gc-790	116	14	cells	cell	NOUN
gc-790	116	15	of	of	ADP
gc-790	116	16	a	a	DET
gc-790	116	17	model	model	NOUN
gc-790	116	18	through	through	ADP
gc-790	116	19	a	a	DET
gc-790	116	20	set	set	NOUN
gc-790	116	21	of	of	ADP
gc-790	116	22	realizations	realization	NOUN
gc-790	116	23	.	.	PUNCT
gc-790	117	1	there	there	PRON
gc-790	117	2	is	be	VERB
gc-790	117	3	however	however	ADV
gc-790	117	4	a	a	DET
gc-790	117	5	disadvantage	disadvantage	NOUN
gc-790	117	6	,	,	PUNCT
gc-790	117	7	e.g.	e.g.	ADV
gc-790	117	8	,	,	PUNCT
gc-790	117	9	simulated	simulate	VERB
gc-790	117	10	values	value	NOUN
gc-790	117	11	can	can	AUX
gc-790	117	12	be	be	AUX
gc-790	117	13	significantly	significantly	ADV
gc-790	117	14	different	different	ADJ
gc-790	117	15	in	in	ADP
gc-790	117	16	neighbouring	neighbouring	ADJ
gc-790	117	17	cells	cell	NOUN
gc-790	117	18	,	,	PUNCT
gc-790	117	19	which	which	PRON
gc-790	117	20	can	can	AUX
gc-790	117	21	cause	cause	VERB
gc-790	117	22	many	many	ADJ
gc-790	117	23	problems	problem	NOUN
gc-790	117	24	in	in	ADP
gc-790	117	25	numerical	numerical	ADJ
gc-790	117	26	simulation	simulation	NOUN
gc-790	117	27	as	as	SCONJ
gc-790	117	28	proven	prove	VERB
gc-790	117	29	by	by	ADP
gc-790	117	30	sensitivity	sensitivity	NOUN
gc-790	117	31	performed	perform	VERB
gc-790	117	32	on	on	ADP
gc-790	117	33	required	require	VERB
gc-790	117	34	simulation	simulation	NOUN
gc-790	117	35	time	time	NOUN
gc-790	117	36	.	.	PUNCT
gc-790	118	1	although	although	SCONJ
gc-790	118	2	this	this	PRON
gc-790	118	3	may	may	AUX
gc-790	118	4	not	not	PART
gc-790	118	5	be	be	AUX
gc-790	118	6	a	a	DET
gc-790	118	7	problem	problem	NOUN
gc-790	118	8	in	in	ADP
gc-790	118	9	cases	case	NOUN
gc-790	118	10	with	with	ADP
gc-790	118	11	large	large	ADJ
gc-790	118	12	cells	cell	NOUN
gc-790	118	13	which	which	PRON
gc-790	118	14	may	may	AUX
gc-790	118	15	better	well	ADV
gc-790	118	16	describe	describe	VERB
gc-790	118	17	the	the	DET
gc-790	118	18	subsurface	subsurface	NOUN
gc-790	118	19	than	than	ADP
gc-790	118	20	interpolation	interpolation	NOUN
gc-790	118	21	.	.	PUNCT
gc-790	119	1	4	4	X
gc-790	119	2	.	.	X
gc-790	119	3	input	input	NOUN
gc-790	119	4	data	datum	NOUN
gc-790	119	5	and	and	CCONJ
gc-790	119	6	modelling	modelling	NOUN
gc-790	119	7	process	process	NOUN
gc-790	119	8	input	input	NOUN
gc-790	119	9	data	datum	NOUN
gc-790	119	10	set	set	VERB
gc-790	119	11	used	use	VERB
gc-790	119	12	for	for	ADP
gc-790	119	13	geological	geological	ADJ
gc-790	119	14	model	model	NOUN
gc-790	119	15	construction	construction	NOUN
gc-790	119	16	comprised	comprise	VERB
gc-790	119	17	well	well	ADV
gc-790	119	18	log	log	NOUN
gc-790	119	19	data	datum	NOUN
gc-790	119	20	(	(	PUNCT
gc-790	119	21	from	from	ADP
gc-790	119	22	86	86	NUM
gc-790	119	23	wells	well	NOUN
gc-790	119	24	)	)	PUNCT
gc-790	119	25	,	,	PUNCT
gc-790	119	26	quantitative	quantitative	ADJ
gc-790	119	27	log	log	NOUN
gc-790	119	28	analysis	analysis	NOUN
gc-790	119	29	,	,	PUNCT
gc-790	119	30	core	core	NOUN
gc-790	119	31	data	datum	NOUN
gc-790	119	32	(	(	PUNCT
gc-790	119	33	from	from	ADP
gc-790	119	34	28	28	NUM
gc-790	119	35	wells	well	NOUN
gc-790	119	36	)	)	PUNCT
gc-790	119	37	and	and	CCONJ
gc-790	119	38	previously	previously	ADV
gc-790	119	39	constructed	construct	VERB
gc-790	119	40	3d	3d	NUM
gc-790	119	41	structural	structural	ADJ
gc-790	119	42	models	model	NOUN
gc-790	119	43	.	.	PUNCT
gc-790	120	1	all	all	DET
gc-790	120	2	these	these	DET
gc-790	120	3	data	datum	NOUN
gc-790	120	4	have	have	AUX
gc-790	120	5	been	be	AUX
gc-790	120	6	integrated	integrate	VERB
gc-790	120	7	and	and	CCONJ
gc-790	120	8	analysed	analyse	VERB
gc-790	120	9	.	.	PUNCT
gc-790	121	1	a	a	DET
gc-790	121	2	new	new	ADJ
gc-790	121	3	geolo	geolo	ADJ
gc-790	121	4	gical	gical	ADJ
gc-790	121	5	model	model	NOUN
gc-790	121	6	was	be	AUX
gc-790	121	7	built	build	VERB
gc-790	121	8	in	in	ADP
gc-790	121	9	petreltm	petreltm	NOUN
gc-790	121	10	,	,	PUNCT
gc-790	121	11	with	with	ADP
gc-790	121	12	cell	cell	NOUN
gc-790	121	13	dimensions	dimension	NOUN
gc-790	121	14	of	of	ADP
gc-790	121	15	50	50	NUM
gc-790	121	16	x	x	SYM
gc-790	121	17	50	50	NUM
gc-790	121	18	m.	m.	NOUN
gc-790	121	19	the	the	DET
gc-790	121	20	vertical	vertical	ADJ
gc-790	121	21	resolution	resolution	NOUN
gc-790	121	22	of	of	ADP
gc-790	121	23	the	the	DET
gc-790	121	24	cells	cell	NOUN
gc-790	121	25	is	be	AUX
gc-790	121	26	2.5	2.5	NUM
gc-790	121	27	m.	m.	NOUN
gc-790	121	28	4.1	4.1	NUM
gc-790	121	29	.	.	PUNCT
gc-790	122	1	structural	structural	ADJ
gc-790	122	2	modelling	modelling	NOUN
gc-790	122	3	a	a	DET
gc-790	122	4	reliable	reliable	ADJ
gc-790	122	5	structural	structural	ADJ
gc-790	122	6	model	model	NOUN
gc-790	122	7	is	be	AUX
gc-790	122	8	a	a	DET
gc-790	122	9	precondition	precondition	NOUN
gc-790	122	10	for	for	ADP
gc-790	122	11	performing	perform	VERB
gc-790	122	12	petrophysical	petrophysical	ADJ
gc-790	122	13	modelling	modelling	NOUN
gc-790	122	14	.	.	PUNCT
gc-790	123	1	the	the	DET
gc-790	123	2	tops	top	NOUN
gc-790	123	3	and	and	CCONJ
gc-790	123	4	bottoms	bottom	NOUN
gc-790	123	5	of	of	ADP
gc-790	123	6	the	the	DET
gc-790	123	7	11	11	NUM
gc-790	123	8	sandstone	sandstone	NOUN
gc-790	123	9	reservoirs	reservoir	NOUN
gc-790	123	10	(	(	PUNCT
gc-790	123	11	22	22	NUM
gc-790	123	12	horizons	horizon	NOUN
gc-790	123	13	)	)	PUNCT
gc-790	123	14	together	together	ADV
gc-790	123	15	with	with	ADP
gc-790	123	16	interlayered	interlayere	VERB
gc-790	123	17	marls	marl	NOUN
gc-790	123	18	determined	determine	VERB
gc-790	123	19	21	21	NUM
gc-790	123	20	zones	zone	NOUN
gc-790	123	21	.	.	PUNCT
gc-790	124	1	two	two	NUM
gc-790	124	2	types	type	NOUN
gc-790	124	3	of	of	ADP
gc-790	124	4	reservoirs	reservoir	NOUN
gc-790	124	5	were	be	AUX
gc-790	124	6	recognised	recognise	VERB
gc-790	124	7	:	:	PUNCT
gc-790	124	8	reservoirs	reservoir	NOUN
gc-790	124	9	with	with	ADP
gc-790	124	10	relatively	relatively	ADV
gc-790	124	11	uniform	uniform	ADJ
gc-790	124	12	gross	gross	ADJ
gc-790	124	13	reservoir	reservoir	NOUN
gc-790	124	14	thickness	thickness	NOUN
gc-790	124	15	in	in	ADP
gc-790	124	16	the	the	DET
gc-790	124	17	field	field	NOUN
gc-790	124	18	area	area	NOUN
gc-790	124	19	and	and	CCONJ
gc-790	124	20	those	those	PRON
gc-790	124	21	with	with	ADP
gc-790	124	22	great	great	ADJ
gc-790	124	23	lateral	lateral	ADJ
gc-790	124	24	thickness	thickness	NOUN
gc-790	124	25	variability	variability	NOUN
gc-790	124	26	.	.	PUNCT
gc-790	125	1	the	the	DET
gc-790	125	2	latter	latter	ADJ
gc-790	125	3	have	have	AUX
gc-790	125	4	been	be	AUX
gc-790	125	5	identified	identify	VERB
gc-790	125	6	as	as	ADP
gc-790	125	7	channel	channel	NOUN
gc-790	125	8	bodies	body	NOUN
gc-790	125	9	.	.	PUNCT
gc-790	126	1	according	accord	VERB
gc-790	126	2	to	to	ADP
gc-790	126	3	these	these	DET
gc-790	126	4	observations	observation	NOUN
gc-790	126	5	,	,	PUNCT
gc-790	126	6	a	a	DET
gc-790	126	7	layering	layering	NOUN
gc-790	126	8	method	method	NOUN
gc-790	126	9	within	within	ADP
gc-790	126	10	the	the	DET
gc-790	126	11	individual	individual	ADJ
gc-790	126	12	zones	zone	NOUN
gc-790	126	13	in	in	ADP
gc-790	126	14	the	the	DET
gc-790	126	15	model	model	NOUN
gc-790	126	16	was	be	AUX
gc-790	126	17	adopted	adopt	VERB
gc-790	126	18	.	.	PUNCT
gc-790	127	1	it	it	PRON
gc-790	127	2	was	be	AUX
gc-790	127	3	concluded	conclude	VERB
gc-790	127	4	that	that	SCONJ
gc-790	127	5	a	a	DET
gc-790	127	6	better	well	ADJ
gc-790	127	7	layering	layering	NOUN
gc-790	127	8	method	method	NOUN
gc-790	127	9	in	in	ADP
gc-790	127	10	the	the	DET
gc-790	127	11	case	case	NOUN
gc-790	127	12	of	of	ADP
gc-790	127	13	channel	channel	NOUN
gc-790	127	14	bodies	body	NOUN
gc-790	127	15	with	with	ADP
gc-790	127	16	great	great	ADJ
gc-790	127	17	lateral	lateral	ADJ
gc-790	127	18	variability	variability	NOUN
gc-790	127	19	of	of	ADP
gc-790	127	20	thickness	thickness	NOUN
gc-790	127	21	was	be	AUX
gc-790	127	22	layering	layer	VERB
gc-790	127	23	with	with	ADP
gc-790	127	24	constant	constant	ADJ
gc-790	127	25	layer	layer	NOUN
gc-790	127	26	thickness	thickness	NOUN
gc-790	127	27	and	and	CCONJ
gc-790	127	28	following	follow	VERB
gc-790	127	29	the	the	DET
gc-790	127	30	top	top	NOUN
gc-790	127	31	of	of	ADP
gc-790	127	32	reservoir	reservoir	NOUN
gc-790	127	33	,	,	PUNCT
gc-790	127	34	while	while	SCONJ
gc-790	127	35	in	in	ADP
gc-790	127	36	the	the	DET
gc-790	127	37	other	other	ADJ
gc-790	127	38	cases	case	NOUN
gc-790	127	39	proportional	proportional	ADJ
gc-790	127	40	layering	layering	NOUN
gc-790	127	41	was	be	AUX
gc-790	127	42	chosen	choose	VERB
gc-790	127	43	.	.	PUNCT
gc-790	128	1	so	so	ADV
gc-790	128	2	,	,	PUNCT
gc-790	128	3	layering	layer	VERB
gc-790	128	4	with	with	ADP
gc-790	128	5	constant	constant	ADJ
gc-790	128	6	layer	layer	NOUN
gc-790	128	7	thickness	thickness	NOUN
gc-790	128	8	(	(	PUNCT
gc-790	128	9	2	2	NUM
gc-790	128	10	m	m	NOUN
gc-790	128	11	)	)	PUNCT
gc-790	128	12	was	be	AUX
gc-790	128	13	performed	perform	VERB
gc-790	128	14	by	by	ADP
gc-790	128	15	„	„	PUNCT
gc-790	128	16	follow	follow	VERB
gc-790	128	17	top	top	ADJ
gc-790	128	18	”	"	PUNCT
gc-790	128	19	method	method	NOUN
gc-790	128	20	for	for	ADP
gc-790	128	21	the	the	DET
gc-790	128	22	s2	s2	PROPN
gc-790	128	23	,	,	PUNCT
gc-790	128	24	s3	s3	PROPN
gc-790	128	25	,	,	PUNCT
gc-790	128	26	s5	s5	PROPN
gc-790	128	27	,	,	PUNCT
gc-790	128	28	s7	s7	NOUN
gc-790	128	29	and	and	CCONJ
gc-790	128	30	s10	s10	NOUN
gc-790	128	31	„	„	PUNCT
gc-790	128	32	channel	channel	NOUN
gc-790	128	33	”	"	PUNCT
gc-790	128	34	reservoirs	reservoir	NOUN
gc-790	128	35	,	,	PUNCT
gc-790	128	36	and	and	CCONJ
gc-790	128	37	„	„	PUNCT
gc-790	128	38	proportional	proportional	ADJ
gc-790	128	39	“	"	PUNCT
gc-790	128	40	type	type	NOUN
gc-790	128	41	of	of	ADP
gc-790	128	42	layering	layering	NOUN
gc-790	128	43	was	be	AUX
gc-790	128	44	performed	perform	VERB
gc-790	128	45	for	for	ADP
gc-790	128	46	s1	s1	NOUN
gc-790	128	47	,	,	PUNCT
gc-790	128	48	s4	s4	PROPN
gc-790	128	49	,	,	PUNCT
gc-790	128	50	s6	s6	PROPN
gc-790	128	51	,	,	PUNCT
gc-790	128	52	s8	s8	NOUN
gc-790	128	53	,	,	PUNCT
gc-790	128	54	s9	s9	NOUN
gc-790	128	55	and	and	CCONJ
gc-790	128	56	s11	s11	NUM
gc-790	128	57	sandstones	sandstone	NOUN
gc-790	128	58	.	.	PUNCT
gc-790	129	1	differences	difference	NOUN
gc-790	129	2	between	between	ADP
gc-790	129	3	„	„	PUNCT
gc-790	129	4	follow	follow	VERB
gc-790	129	5	top	top	ADJ
gc-790	129	6	“	"	PUNCT
gc-790	129	7	and	and	CCONJ
gc-790	129	8	„	„	PUNCT
gc-790	129	9	proportional	proportional	ADJ
gc-790	129	10	“	"	PUNCT
gc-790	129	11	types	type	NOUN
gc-790	129	12	of	of	ADP
gc-790	129	13	layering	layering	NOUN
gc-790	129	14	are	be	AUX
gc-790	129	15	shown	show	VERB
gc-790	129	16	in	in	ADP
gc-790	129	17	figure	figure	NOUN
gc-790	129	18	3	3	NUM
gc-790	129	19	.	.	PUNCT
gc-790	129	20	figure	figure	NOUN
gc-790	129	21	2	2	NUM
gc-790	129	22	.	.	PUNCT
gc-790	130	1	the	the	DET
gc-790	130	2	process	process	NOUN
gc-790	130	3	of	of	ADP
gc-790	130	4	sequential	sequential	ADJ
gc-790	130	5	gaussian	gaussian	ADJ
gc-790	130	6	simulations	simulation	NOUN
gc-790	130	7	.	.	PUNCT
gc-790	131	1	g	g	NOUN
gc-790	131	2	eo	eo	PROPN
gc-790	131	3	lo	lo	PROPN
gc-790	131	4	gi	gi	VERB
gc-790	131	5	a	a	DET
gc-790	131	6	c	c	X
gc-790	131	7	ro	ro	X
gc-790	131	8	at	at	ADP
gc-790	131	9	ic	ic	PROPN
gc-790	132	1	a	a	DET
gc-790	132	2	geologia	geologia	ADJ
gc-790	132	3	croatica	croatica	NOUN
gc-790	132	4	70/2108	70/2108	NUM
gc-790	132	5	4.2	4.2	NUM
gc-790	132	6	petrophysical	petrophysical	ADJ
gc-790	132	7	modelling	modelling	NOUN
gc-790	132	8	(	(	PUNCT
gc-790	132	9	porosity	porosity	NOUN
gc-790	132	10	distribution	distribution	NOUN
gc-790	132	11	)	)	PUNCT
gc-790	132	12	analysis	analysis	NOUN
gc-790	132	13	of	of	ADP
gc-790	132	14	petrophysical	petrophysical	ADJ
gc-790	132	15	parameters	parameter	NOUN
gc-790	132	16	was	be	AUX
gc-790	132	17	performed	perform	VERB
gc-790	132	18	using	use	VERB
gc-790	132	19	:	:	PUNCT
gc-790	132	20	(	(	PUNCT
gc-790	132	21	1	1	X
gc-790	132	22	)	)	PUNCT
gc-790	132	23	the	the	DET
gc-790	132	24	old	old	ADJ
gc-790	132	25	deterministic	deterministic	ADJ
gc-790	132	26	petrophysical	petrophysical	NOUN
gc-790	132	27	log	log	NOUN
gc-790	132	28	analyses	analysis	NOUN
gc-790	132	29	of	of	ADP
gc-790	132	30	effective	effective	ADJ
gc-790	132	31	porosity	porosity	NOUN
gc-790	132	32	and	and	CCONJ
gc-790	132	33	;	;	PUNCT
gc-790	132	34	(	(	PUNCT
gc-790	132	35	2	2	X
gc-790	132	36	)	)	PUNCT
gc-790	132	37	porosity	porosity	NOUN
gc-790	132	38	measured	measure	VERB
gc-790	132	39	on	on	ADP
gc-790	132	40	core	core	NOUN
gc-790	132	41	samples	sample	NOUN
gc-790	132	42	.	.	PUNCT
gc-790	133	1	cored	core	VERB
gc-790	133	2	wells	well	NOUN
gc-790	133	3	and	and	CCONJ
gc-790	133	4	intervals	interval	NOUN
gc-790	133	5	,	,	PUNCT
gc-790	133	6	as	as	ADV
gc-790	133	7	well	well	ADV
gc-790	133	8	as	as	ADP
gc-790	133	9	wells	well	NOUN
gc-790	133	10	with	with	ADP
gc-790	133	11	petrophysical	petrophysical	ADJ
gc-790	133	12	log	log	NOUN
gc-790	133	13	analysis	analysis	NOUN
gc-790	133	14	are	be	AUX
gc-790	133	15	evenly	evenly	ADV
gc-790	133	16	distributed	distribute	VERB
gc-790	133	17	all	all	ADV
gc-790	133	18	over	over	ADP
gc-790	133	19	the	the	DET
gc-790	133	20	field	field	NOUN
gc-790	133	21	and	and	CCONJ
gc-790	133	22	are	be	AUX
gc-790	133	23	representative	representative	ADJ
gc-790	133	24	of	of	ADP
gc-790	133	25	the	the	DET
gc-790	133	26	lithological	lithological	ADJ
gc-790	133	27	and	and	CCONJ
gc-790	133	28	petrophysical	petrophysical	ADJ
gc-790	133	29	parameters	parameter	NOUN
gc-790	133	30	of	of	ADP
gc-790	133	31	the	the	DET
gc-790	133	32	analysed	analyse	VERB
gc-790	133	33	lower	low	ADJ
gc-790	133	34	pontian	pontian	ADJ
gc-790	133	35	sandstone	sandstone	NOUN
gc-790	133	36	series	series	NOUN
gc-790	133	37	.	.	PUNCT
gc-790	134	1	after	after	ADP
gc-790	134	2	correction	correction	NOUN
gc-790	134	3	of	of	ADP
gc-790	134	4	core	core	NOUN
gc-790	134	5	porosity	porosity	NOUN
gc-790	134	6	for	for	ADP
gc-790	134	7	overburden	overburden	ADJ
gc-790	134	8	pressure	pressure	NOUN
gc-790	134	9	,	,	PUNCT
gc-790	134	10	depth	depth	NOUN
gc-790	134	11	correlation	correlation	NOUN
gc-790	134	12	of	of	ADP
gc-790	134	13	log	log	NOUN
gc-790	134	14	analyses	analysis	NOUN
gc-790	134	15	and	and	CCONJ
gc-790	134	16	coring	core	VERB
gc-790	134	17	data	datum	NOUN
gc-790	134	18	was	be	AUX
gc-790	134	19	performed	perform	VERB
gc-790	134	20	.	.	PUNCT
gc-790	135	1	in	in	ADP
gc-790	135	2	most	most	ADJ
gc-790	135	3	cases	case	NOUN
gc-790	135	4	smaller	small	ADJ
gc-790	135	5	corrections	correction	NOUN
gc-790	135	6	were	be	AUX
gc-790	135	7	necessary	necessary	ADJ
gc-790	135	8	(	(	PUNCT
gc-790	135	9	up	up	ADP
gc-790	135	10	to	to	PART
gc-790	135	11	5	5	NUM
gc-790	135	12	m	m	NOUN
gc-790	135	13	)	)	PUNCT
gc-790	135	14	during	during	ADP
gc-790	135	15	correlation	correlation	NOUN
gc-790	135	16	of	of	ADP
gc-790	135	17	depth	depth	NOUN
gc-790	135	18	intervals	interval	NOUN
gc-790	135	19	(	(	PUNCT
gc-790	135	20	figure	figure	NOUN
gc-790	135	21	4	4	NUM
gc-790	135	22	)	)	PUNCT
gc-790	135	23	.	.	PUNCT
gc-790	136	1	input	input	NOUN
gc-790	136	2	data	datum	NOUN
gc-790	136	3	for	for	ADP
gc-790	136	4	porosity	porosity	NOUN
gc-790	136	5	modelling	modelling	NOUN
gc-790	136	6	included	include	VERB
gc-790	136	7	porosity	porosity	NOUN
gc-790	136	8	measured	measure	VERB
gc-790	136	9	on	on	ADP
gc-790	136	10	core	core	NOUN
gc-790	136	11	samples	sample	NOUN
gc-790	136	12	as	as	ADV
gc-790	136	13	well	well	ADV
gc-790	136	14	as	as	ADP
gc-790	136	15	porosity	porosity	NOUN
gc-790	136	16	resulting	result	VERB
gc-790	136	17	from	from	ADP
gc-790	136	18	deterministic	deterministic	ADJ
gc-790	136	19	petrophysical	petrophysical	ADJ
gc-790	136	20	log	log	NOUN
gc-790	136	21	analyses	analysis	NOUN
gc-790	136	22	.	.	PUNCT
gc-790	137	1	a	a	DET
gc-790	137	2	significant	significant	ADJ
gc-790	137	3	porosity	porosity	NOUN
gc-790	137	4	mismatch	mismatch	NOUN
gc-790	137	5	has	have	AUX
gc-790	137	6	been	be	AUX
gc-790	137	7	observed	observe	VERB
gc-790	137	8	(	(	PUNCT
gc-790	137	9	especially	especially	ADV
gc-790	137	10	for	for	ADP
gc-790	137	11	porosity	porosity	NOUN
gc-790	137	12	values	value	NOUN
gc-790	137	13	from	from	ADP
gc-790	137	14	0	0	NUM
gc-790	137	15	to	to	PART
gc-790	137	16	15	15	NUM
gc-790	137	17	%	%	NOUN
gc-790	137	18	)	)	PUNCT
gc-790	137	19	when	when	SCONJ
gc-790	137	20	comparing	compare	VERB
gc-790	137	21	core	core	NOUN
gc-790	137	22	porosity	porosity	NOUN
gc-790	137	23	data	datum	NOUN
gc-790	137	24	(	(	PUNCT
gc-790	137	25	corrected	correct	VERB
gc-790	137	26	for	for	ADP
gc-790	137	27	overburden	overburden	ADJ
gc-790	137	28	pressure	pressure	NOUN
gc-790	137	29	and	and	CCONJ
gc-790	137	30	adjusted	adjust	VERB
gc-790	137	31	by	by	ADP
gc-790	137	32	depth	depth	NOUN
gc-790	137	33	)	)	PUNCT
gc-790	137	34	and	and	CCONJ
gc-790	137	35	the	the	DET
gc-790	137	36	data	datum	NOUN
gc-790	137	37	obtained	obtain	VERB
gc-790	137	38	by	by	ADP
gc-790	137	39	petrophysical	petrophysical	ADJ
gc-790	137	40	log	log	NOUN
gc-790	137	41	analyses	analysis	NOUN
gc-790	137	42	.	.	PUNCT
gc-790	138	1	the	the	DET
gc-790	138	2	relationship	relationship	NOUN
gc-790	138	3	between	between	ADP
gc-790	138	4	well	well	INTJ
gc-790	138	5	log	log	NOUN
gc-790	138	6	and	and	CCONJ
gc-790	138	7	core	core	NOUN
gc-790	138	8	data	datum	NOUN
gc-790	138	9	is	be	AUX
gc-790	138	10	given	give	VERB
gc-790	138	11	by	by	ADP
gc-790	138	12	equation	equation	NOUN
gc-790	138	13	3	3	NUM
gc-790	138	14	and	and	CCONJ
gc-790	138	15	figure	figure	VERB
gc-790	138	16	5	5	NUM
gc-790	138	17	:	:	PUNCT
gc-790	138	18	y	y	NOUN
gc-790	138	19	=	=	PUNCT
gc-790	138	20	0.545x	0.545x	NOUN
gc-790	138	21	+	+	CCONJ
gc-790	138	22	12.71	12.71	NUM
gc-790	138	23	(	(	PUNCT
gc-790	138	24	3	3	NUM
gc-790	138	25	)	)	PUNCT
gc-790	138	26	where	where	SCONJ
gc-790	138	27	:	:	PUNCT
gc-790	138	28	y	y	PROPN
gc-790	138	29	=	=	PUNCT
gc-790	138	30	overburden	overburden	PROPN
gc-790	138	31	corrected	correct	VERB
gc-790	138	32	core	core	NOUN
gc-790	138	33	porosity	porosity	NOUN
gc-790	138	34	x	x	NOUN
gc-790	138	35	=	=	PUNCT
gc-790	138	36	porosity	porosity	NOUN
gc-790	138	37	from	from	ADP
gc-790	138	38	petrophysical	petrophysical	ADJ
gc-790	138	39	log	log	NOUN
gc-790	138	40	analysis	analysis	NOUN
gc-790	138	41	generally	generally	ADV
gc-790	138	42	,	,	PUNCT
gc-790	138	43	porosity	porosity	NOUN
gc-790	138	44	obtained	obtain	VERB
gc-790	138	45	by	by	ADP
gc-790	138	46	the	the	DET
gc-790	138	47	petrophysical	petrophysical	ADJ
gc-790	138	48	log	log	NOUN
gc-790	138	49	analysis	analysis	NOUN
gc-790	138	50	was	be	AUX
gc-790	138	51	significantly	significantly	ADV
gc-790	138	52	underestimated	underestimate	VERB
gc-790	138	53	(	(	PUNCT
gc-790	138	54	especially	especially	ADV
gc-790	138	55	for	for	ADP
gc-790	138	56	the	the	DET
gc-790	138	57	interval	interval	NOUN
gc-790	138	58	from	from	ADP
gc-790	138	59	0	0	NUM
gc-790	138	60	to	to	PART
gc-790	138	61	15	15	NUM
gc-790	138	62	%	%	NOUN
gc-790	138	63	)	)	PUNCT
gc-790	138	64	compared	compare	VERB
gc-790	138	65	to	to	ADP
gc-790	138	66	porosity	porosity	NOUN
gc-790	138	67	measured	measure	VERB
gc-790	138	68	on	on	ADP
gc-790	138	69	core	core	NOUN
gc-790	138	70	samples	sample	NOUN
gc-790	138	71	under	under	ADP
gc-790	138	72	reservoir	reservoir	NOUN
gc-790	138	73	conditions	condition	NOUN
gc-790	138	74	.	.	PUNCT
gc-790	139	1	quality	quality	NOUN
gc-790	139	2	control	control	NOUN
gc-790	139	3	of	of	ADP
gc-790	139	4	acquired	acquire	VERB
gc-790	139	5	well	well	INTJ
gc-790	139	6	log	log	NOUN
gc-790	139	7	data	datum	NOUN
gc-790	139	8	and	and	CCONJ
gc-790	139	9	performed	perform	VERB
gc-790	139	10	analysis	analysis	NOUN
gc-790	139	11	showed	show	VERB
gc-790	139	12	that	that	SCONJ
gc-790	139	13	the	the	DET
gc-790	139	14	available	available	ADJ
gc-790	139	15	data	datum	NOUN
gc-790	139	16	set	set	VERB
gc-790	139	17	consisted	consist	VERB
gc-790	139	18	mainly	mainly	ADV
gc-790	139	19	of	of	ADP
gc-790	139	20	old	old	ADJ
gc-790	139	21	,	,	PUNCT
gc-790	139	22	low	low	ADJ
gc-790	139	23	resolution	resolution	NOUN
gc-790	139	24	spontaneous	spontaneous	ADJ
gc-790	139	25	potential	potential	NOUN
gc-790	139	26	,	,	PUNCT
gc-790	139	27	gamma	gamma	PROPN
gc-790	139	28	ray	ray	PROPN
gc-790	139	29	and	and	CCONJ
gc-790	139	30	resistivity	resistivity	NOUN
gc-790	139	31	data	datum	NOUN
gc-790	139	32	but	but	CCONJ
gc-790	139	33	lacked	lack	VERB
gc-790	139	34	in	in	ADP
gc-790	139	35	measured	measure	VERB
gc-790	139	36	porosity	porosity	NOUN
gc-790	139	37	figure	figure	NOUN
gc-790	139	38	3	3	NUM
gc-790	139	39	.	.	NOUN
gc-790	139	40	two	two	NUM
gc-790	139	41	types	type	NOUN
gc-790	139	42	of	of	ADP
gc-790	139	43	layering	layering	NOUN
gc-790	139	44	method	method	NOUN
gc-790	139	45	;	;	PUNCT
gc-790	139	46	„	„	PUNCT
gc-790	139	47	follow	follow	VERB
gc-790	139	48	top	top	NOUN
gc-790	139	49	”	"	PUNCT
gc-790	139	50	used	use	VERB
gc-790	139	51	for	for	ADP
gc-790	139	52	channel	channel	NOUN
gc-790	139	53	bodies	body	NOUN
gc-790	139	54	,	,	PUNCT
gc-790	139	55	and	and	CCONJ
gc-790	139	56	„	„	PUNCT
gc-790	139	57	proportional	proportional	ADJ
gc-790	139	58	”	"	PUNCT
gc-790	139	59	,	,	PUNCT
gc-790	139	60	used	use	VERB
gc-790	139	61	for	for	ADP
gc-790	139	62	reservoirs	reservoir	NOUN
gc-790	139	63	with	with	ADP
gc-790	139	64	relatively	relatively	ADV
gc-790	139	65	uniform	uniform	ADJ
gc-790	139	66	gross	gross	ADJ
gc-790	139	67	reservoir	reservoir	NOUN
gc-790	139	68	thickness	thickness	NOUN
gc-790	139	69	(	(	PUNCT
gc-790	139	70	novak	novak	PROPN
gc-790	139	71	zelenika	zelenika	X
gc-790	139	72	et	et	PROPN
gc-790	139	73	al	al	PROPN
gc-790	139	74	.	.	PROPN
gc-790	139	75	,	,	PUNCT
gc-790	139	76	2016	2016	NUM
gc-790	139	77	)	)	PUNCT
gc-790	139	78	.	.	PUNCT
gc-790	140	1	g	g	PROPN
gc-790	140	2	eologia	eologia	PROPN
gc-790	140	3	c	c	PROPN
gc-790	140	4	roatica	roatica	ADV
gc-790	140	5	novak	novak	PROPN
gc-790	140	6	zelenika	zelenika	X
gc-790	140	7	et	et	PROPN
gc-790	140	8	al	al	PROPN
gc-790	140	9	.	.	PROPN
gc-790	140	10	:	:	PUNCT
gc-790	141	1	application	application	NOUN
gc-790	141	2	of	of	ADP
gc-790	141	3	deterministic	deterministic	ADJ
gc-790	141	4	and	and	CCONJ
gc-790	141	5	stochastic	stochastic	ADJ
gc-790	141	6	geostatistical	geostatistical	ADJ
gc-790	141	7	methods	method	NOUN
gc-790	141	8	in	in	ADP
gc-790	141	9	petrophysical	petrophysical	ADJ
gc-790	141	10	modelling	modelling	NOUN
gc-790	141	11	–	–	PUNCT
gc-790	141	12	a	a	DET
gc-790	141	13	case	case	NOUN
gc-790	141	14	study	study	NOUN
gc-790	141	15	of	of	ADP
gc-790	141	16	upper	upper	ADJ
gc-790	141	17	...	...	PUNCT
gc-790	141	18	109	109	NUM
gc-790	141	19	logs	log	NOUN
gc-790	141	20	.	.	PUNCT
gc-790	142	1	the	the	DET
gc-790	142	2	measured	measure	VERB
gc-790	142	3	spontaneous	spontaneous	ADJ
gc-790	142	4	potential	potential	NOUN
gc-790	142	5	represented	represent	VERB
gc-790	142	6	the	the	DET
gc-790	142	7	main	main	ADJ
gc-790	142	8	input	input	NOUN
gc-790	142	9	for	for	ADP
gc-790	142	10	deterministic	deterministic	ADJ
gc-790	142	11	calculation	calculation	NOUN
gc-790	142	12	of	of	ADP
gc-790	142	13	effective	effective	ADJ
gc-790	142	14	porosity	porosity	NOUN
gc-790	142	15	.	.	PUNCT
gc-790	143	1	porosity	porosity	NOUN
gc-790	143	2	measured	measure	VERB
gc-790	143	3	on	on	ADP
gc-790	143	4	core	core	NOUN
gc-790	143	5	samples	sample	NOUN
gc-790	143	6	obviously	obviously	ADV
gc-790	143	7	was	be	AUX
gc-790	143	8	not	not	PART
gc-790	143	9	taken	take	VERB
gc-790	143	10	into	into	ADP
gc-790	143	11	account	account	NOUN
gc-790	143	12	in	in	ADP
gc-790	143	13	the	the	DET
gc-790	143	14	process	process	NOUN
gc-790	143	15	of	of	ADP
gc-790	143	16	petrophysical	petrophysical	ADJ
gc-790	143	17	log	log	NOUN
gc-790	143	18	analysis	analysis	NOUN
gc-790	143	19	.	.	PUNCT
gc-790	144	1	however	however	ADV
gc-790	144	2	,	,	PUNCT
gc-790	144	3	since	since	SCONJ
gc-790	144	4	the	the	DET
gc-790	144	5	main	main	ADJ
gc-790	144	6	scope	scope	NOUN
gc-790	144	7	of	of	ADP
gc-790	144	8	the	the	DET
gc-790	144	9	case	case	NOUN
gc-790	144	10	study	study	NOUN
gc-790	144	11	presented	present	VERB
gc-790	144	12	here	here	ADV
gc-790	144	13	was	be	AUX
gc-790	144	14	the	the	DET
gc-790	144	15	analysis	analysis	NOUN
gc-790	144	16	of	of	ADP
gc-790	144	17	different	different	ADJ
gc-790	144	18	methods	method	NOUN
gc-790	144	19	of	of	ADP
gc-790	144	20	petrophysical	petrophysical	ADJ
gc-790	144	21	modelling	modelling	NOUN
gc-790	144	22	and	and	CCONJ
gc-790	144	23	their	their	PRON
gc-790	144	24	influence	influence	NOUN
gc-790	144	25	on	on	ADP
gc-790	144	26	reservoir	reservoir	PROPN
gc-790	144	27	simulation	simulation	NOUN
gc-790	144	28	results	result	NOUN
gc-790	144	29	,	,	PUNCT
gc-790	144	30	no	no	DET
gc-790	144	31	new	new	ADJ
gc-790	144	32	petrophysical	petrophysical	ADJ
gc-790	144	33	analyses	analysis	NOUN
gc-790	144	34	were	be	AUX
gc-790	144	35	performed	perform	VERB
gc-790	144	36	.	.	PUNCT
gc-790	145	1	therefore	therefore	ADV
gc-790	145	2	,	,	PUNCT
gc-790	145	3	the	the	DET
gc-790	145	4	mathematical	mathematical	ADJ
gc-790	145	5	relationship	relationship	NOUN
gc-790	145	6	(	(	PUNCT
gc-790	145	7	eq.3	eq.3	PROPN
gc-790	145	8	)	)	PUNCT
gc-790	145	9	has	have	AUX
gc-790	145	10	been	be	AUX
gc-790	145	11	applied	apply	VERB
gc-790	145	12	on	on	ADP
gc-790	145	13	porosity	porosity	NOUN
gc-790	145	14	coming	come	VERB
gc-790	145	15	from	from	ADP
gc-790	145	16	petrophysical	petrophysical	ADJ
gc-790	145	17	log	log	NOUN
gc-790	145	18	analysis	analysis	NOUN
gc-790	145	19	in	in	ADP
gc-790	145	20	order	order	NOUN
gc-790	145	21	to	to	PART
gc-790	145	22	obtain	obtain	VERB
gc-790	145	23	more	more	ADV
gc-790	145	24	reliable	reliable	ADJ
gc-790	145	25	porosity	porosity	NOUN
gc-790	145	26	data	datum	NOUN
gc-790	145	27	.	.	PUNCT
gc-790	146	1	the	the	DET
gc-790	146	2	results	result	NOUN
gc-790	146	3	are	be	AUX
gc-790	146	4	figure	figure	NOUN
gc-790	146	5	4	4	NUM
gc-790	146	6	.	.	PUNCT
gc-790	146	7	depth	depth	NOUN
gc-790	146	8	shifting	shift	VERB
gc-790	146	9	between	between	ADP
gc-790	146	10	the	the	DET
gc-790	146	11	core	core	NOUN
gc-790	146	12	and	and	CCONJ
gc-790	146	13	log	log	VERB
gc-790	146	14	effective	effective	ADJ
gc-790	146	15	porosities	porosity	NOUN
gc-790	146	16	(	(	PUNCT
gc-790	146	17	novak	novak	PROPN
gc-790	146	18	zelenika	zelenika	X
gc-790	146	19	et	et	PROPN
gc-790	146	20	al	al	PROPN
gc-790	146	21	.	.	PROPN
gc-790	146	22	,	,	PUNCT
gc-790	146	23	2016	2016	NUM
gc-790	146	24	)	)	PUNCT
gc-790	146	25	.	.	PUNCT
gc-790	147	1	figure	figure	NOUN
gc-790	147	2	5	5	NUM
gc-790	147	3	.	.	PUNCT
gc-790	147	4	cross	cross	NOUN
gc-790	147	5	plot	plot	NOUN
gc-790	147	6	diagram	diagram	NOUN
gc-790	147	7	of	of	ADP
gc-790	147	8	porosity	porosity	NOUN
gc-790	147	9	(	(	PUNCT
gc-790	147	10	core	core	NOUN
gc-790	147	11	)	)	PUNCT
gc-790	147	12	vs.	vs.	ADP
gc-790	147	13	porosity	porosity	NOUN
gc-790	147	14	(	(	PUNCT
gc-790	147	15	petrophysical	petrophysical	ADJ
gc-790	147	16	analysis	analysis	NOUN
gc-790	147	17	of	of	ADP
gc-790	147	18	well	well	ADV
gc-790	147	19	logs	log	NOUN
gc-790	147	20	)	)	PUNCT
gc-790	147	21	.	.	PUNCT
gc-790	148	1	linear	linear	ADJ
gc-790	148	2	correlation	correlation	NOUN
gc-790	148	3	was	be	AUX
gc-790	148	4	established	establish	VERB
gc-790	148	5	.	.	PUNCT
gc-790	149	1	g	g	NOUN
gc-790	149	2	eo	eo	PROPN
gc-790	149	3	lo	lo	PROPN
gc-790	149	4	gi	gi	VERB
gc-790	149	5	a	a	DET
gc-790	149	6	c	c	X
gc-790	149	7	ro	ro	X
gc-790	149	8	at	at	ADP
gc-790	149	9	ic	ic	PROPN
gc-790	149	10	a	a	DET
gc-790	149	11	geologia	geologia	ADJ
gc-790	149	12	croatica	croatica	NOUN
gc-790	149	13	70/2110	70/2110	NUM
gc-790	149	14	corrected	correct	VERB
gc-790	149	15	porosity	porosity	NOUN
gc-790	149	16	logs	log	VERB
gc-790	149	17	for	for	ADP
gc-790	149	18	all	all	DET
gc-790	149	19	wells	well	NOUN
gc-790	149	20	having	have	VERB
gc-790	149	21	porosity	porosity	NOUN
gc-790	149	22	logs	log	NOUN
gc-790	149	23	from	from	ADP
gc-790	149	24	quantitative	quantitative	ADJ
gc-790	149	25	log	log	NOUN
gc-790	149	26	analysis	analysis	NOUN
gc-790	149	27	.	.	PUNCT
gc-790	150	1	corrected	correct	VERB
gc-790	150	2	porosity	porosity	NOUN
gc-790	150	3	logs	log	NOUN
gc-790	150	4	were	be	AUX
gc-790	150	5	then	then	ADV
gc-790	150	6	upscaled	upscale	VERB
gc-790	150	7	in	in	ADP
gc-790	150	8	the	the	DET
gc-790	150	9	model	model	NOUN
gc-790	150	10	representing	represent	VERB
gc-790	150	11	the	the	DET
gc-790	150	12	input	input	NOUN
gc-790	150	13	for	for	ADP
gc-790	150	14	porosity	porosity	NOUN
gc-790	150	15	modelling	modelling	NOUN
gc-790	150	16	.	.	PUNCT
gc-790	151	1	upscaling	upscale	VERB
gc-790	151	2	is	be	AUX
gc-790	151	3	a	a	DET
gc-790	151	4	process	process	NOUN
gc-790	151	5	of	of	ADP
gc-790	151	6	averaging	average	VERB
gc-790	151	7	input	input	NOUN
gc-790	151	8	data	datum	NOUN
gc-790	151	9	in	in	ADP
gc-790	151	10	the	the	DET
gc-790	151	11	model	model	NOUN
gc-790	151	12	cells	cell	NOUN
gc-790	151	13	containing	contain	VERB
gc-790	151	14	well	well	PROPN
gc-790	151	15	data	datum	NOUN
gc-790	151	16	.	.	PUNCT
gc-790	152	1	in	in	ADP
gc-790	152	2	this	this	DET
gc-790	152	3	way	way	NOUN
gc-790	152	4	just	just	ADV
gc-790	152	5	one	one	NUM
gc-790	152	6	value	value	NOUN
gc-790	152	7	is	be	AUX
gc-790	152	8	assigned	assign	VERB
gc-790	152	9	to	to	ADP
gc-790	152	10	a	a	DET
gc-790	152	11	cell	cell	NOUN
gc-790	152	12	.	.	PUNCT
gc-790	153	1	there	there	PRON
gc-790	153	2	are	be	VERB
gc-790	153	3	different	different	ADJ
gc-790	153	4	upscaling	upscale	VERB
gc-790	153	5	methods	method	NOUN
gc-790	153	6	,	,	PUNCT
gc-790	153	7	i.e.	i.e.	X
gc-790	153	8	logs	log	NOUN
gc-790	153	9	can	can	AUX
gc-790	153	10	be	be	AUX
gc-790	153	11	upscaled	upscale	VERB
gc-790	153	12	as	as	ADP
gc-790	153	13	minimum	minimum	ADJ
gc-790	153	14	,	,	PUNCT
gc-790	153	15	maximum	maximum	ADJ
gc-790	153	16	or	or	CCONJ
gc-790	153	17	arithmetic	arithmetic	ADJ
gc-790	153	18	mean	mean	NOUN
gc-790	153	19	,	,	PUNCT
gc-790	153	20	and	and	CCONJ
gc-790	153	21	other	other	ADJ
gc-790	153	22	properties	property	NOUN
gc-790	153	23	can	can	AUX
gc-790	153	24	be	be	AUX
gc-790	153	25	also	also	ADV
gc-790	153	26	used	use	VERB
gc-790	153	27	to	to	PART
gc-790	153	28	bias	bias	VERB
gc-790	153	29	the	the	DET
gc-790	153	30	estimated	estimate	VERB
gc-790	153	31	value	value	NOUN
gc-790	153	32	.	.	PUNCT
gc-790	154	1	in	in	ADP
gc-790	154	2	the	the	DET
gc-790	154	3	upscaling	upscale	VERB
gc-790	154	4	process	process	NOUN
gc-790	154	5	of	of	ADP
gc-790	154	6	the	the	DET
gc-790	154	7	study	study	NOUN
gc-790	154	8	,	,	PUNCT
gc-790	154	9	the	the	DET
gc-790	154	10	scale	scale	NOUN
gc-790	154	11	-	-	PUNCT
gc-790	154	12	up	up	ADP
gc-790	154	13	method	method	NOUN
gc-790	154	14	was	be	AUX
gc-790	154	15	the	the	DET
gc-790	154	16	arithmetic	arithmetic	ADJ
gc-790	154	17	average	average	NOUN
gc-790	154	18	.	.	PUNCT
gc-790	155	1	original	original	ADJ
gc-790	155	2	and	and	CCONJ
gc-790	155	3	upscaled	upscaled	ADJ
gc-790	155	4	corrected	correct	VERB
gc-790	155	5	porosity	porosity	NOUN
gc-790	155	6	were	be	AUX
gc-790	155	7	analysed	analyse	VERB
gc-790	155	8	using	use	VERB
gc-790	155	9	histogram	histogram	NOUN
gc-790	155	10	plots	plot	NOUN
gc-790	155	11	for	for	ADP
gc-790	155	12	each	each	DET
gc-790	155	13	reservoir	reservoir	NOUN
gc-790	155	14	separately	separately	ADV
gc-790	155	15	as	as	SCONJ
gc-790	155	16	illustrated	illustrate	VERB
gc-790	155	17	on	on	ADP
gc-790	155	18	figure	figure	NOUN
gc-790	155	19	6	6	NUM
gc-790	155	20	.	.	PUNCT
gc-790	156	1	for	for	ADP
gc-790	156	2	reservoirs	reservoir	NOUN
gc-790	156	3	s6	s6	PROPN
gc-790	156	4	and	and	CCONJ
gc-790	156	5	s5	s5	PROPN
gc-790	156	6	.	.	PUNCT
gc-790	157	1	quality	quality	NOUN
gc-790	157	2	control	control	NOUN
gc-790	157	3	of	of	ADP
gc-790	157	4	corrected	correct	VERB
gc-790	157	5	log	log	NOUN
gc-790	157	6	porosity	porosity	NOUN
gc-790	157	7	values	value	NOUN
gc-790	157	8	showed	show	VERB
gc-790	157	9	that	that	SCONJ
gc-790	157	10	the	the	DET
gc-790	157	11	whole	whole	ADJ
gc-790	157	12	range	range	NOUN
gc-790	157	13	of	of	ADP
gc-790	157	14	data	datum	NOUN
gc-790	157	15	between	between	ADP
gc-790	157	16	0	0	NUM
gc-790	157	17	and	and	CCONJ
gc-790	157	18	12	12	NUM
gc-790	157	19	%	%	NOUN
gc-790	157	20	porosity	porosity	NOUN
gc-790	157	21	is	be	AUX
gc-790	157	22	missing	miss	VERB
gc-790	157	23	as	as	ADP
gc-790	157	24	a	a	DET
gc-790	157	25	consequence	consequence	NOUN
gc-790	157	26	of	of	ADP
gc-790	157	27	the	the	DET
gc-790	157	28	unique	unique	ADJ
gc-790	157	29	mathematical	mathematical	ADJ
gc-790	157	30	relationship	relationship	NOUN
gc-790	157	31	applied	apply	VERB
gc-790	157	32	.	.	PUNCT
gc-790	158	1	moreover	moreover	ADV
gc-790	158	2	,	,	PUNCT
gc-790	158	3	there	there	PRON
gc-790	158	4	is	be	VERB
gc-790	158	5	an	an	DET
gc-790	158	6	evident	evident	ADJ
gc-790	158	7	mismatch	mismatch	NOUN
gc-790	158	8	between	between	ADP
gc-790	158	9	the	the	DET
gc-790	158	10	input	input	NOUN
gc-790	158	11	data	datum	NOUN
gc-790	158	12	and	and	CCONJ
gc-790	158	13	upscaled	upscaled	ADJ
gc-790	158	14	data	datum	NOUN
gc-790	158	15	as	as	ADP
gc-790	158	16	a	a	DET
gc-790	158	17	result	result	NOUN
gc-790	158	18	of	of	ADP
gc-790	158	19	averaging	average	VERB
gc-790	158	20	in	in	ADP
gc-790	158	21	upscaling	upscale	VERB
gc-790	158	22	.	.	PUNCT
gc-790	159	1	for	for	ADP
gc-790	159	2	that	that	DET
gc-790	159	3	reason	reason	NOUN
gc-790	159	4	,	,	PUNCT
gc-790	159	5	a	a	DET
gc-790	159	6	new	new	ADJ
gc-790	159	7	relationship	relationship	NOUN
gc-790	159	8	between	between	ADP
gc-790	159	9	the	the	DET
gc-790	159	10	log	log	NOUN
gc-790	159	11	and	and	CCONJ
gc-790	159	12	core	core	NOUN
gc-790	159	13	data	datum	NOUN
gc-790	159	14	using	use	VERB
gc-790	159	15	simple	simple	ADJ
gc-790	159	16	linear	linear	ADJ
gc-790	159	17	regression	regression	NOUN
gc-790	159	18	was	be	AUX
gc-790	159	19	established	establish	VERB
gc-790	159	20	by	by	ADP
gc-790	159	21	two	two	NUM
gc-790	159	22	equations	equation	NOUN
gc-790	159	23	;	;	PUNCT
gc-790	159	24	one	one	NUM
gc-790	159	25	for	for	ADP
gc-790	159	26	the	the	DET
gc-790	159	27	lower	low	ADJ
gc-790	159	28	(	(	PUNCT
gc-790	159	29	eq	eq	NOUN
gc-790	159	30	.	.	NOUN
gc-790	159	31	4	4	NUM
gc-790	159	32	)	)	PUNCT
gc-790	159	33	and	and	CCONJ
gc-790	159	34	another	another	DET
gc-790	159	35	one	one	NOUN
gc-790	159	36	(	(	PUNCT
gc-790	159	37	eq	eq	NOUN
gc-790	159	38	.	.	NOUN
gc-790	159	39	3	3	NUM
gc-790	159	40	)	)	PUNCT
gc-790	159	41	for	for	ADP
gc-790	159	42	the	the	DET
gc-790	159	43	higher	high	ADJ
gc-790	159	44	porosity	porosity	NOUN
gc-790	159	45	values	value	NOUN
gc-790	159	46	(	(	PUNCT
gc-790	159	47	figure	figure	NOUN
gc-790	159	48	7	7	NUM
gc-790	159	49	.	.	PUNCT
gc-790	159	50	):	):	PUNCT
gc-790	159	51	y	y	PROPN
gc-790	159	52	=	=	SYM
gc-790	159	53	1.6x	1.6x	PROPN
gc-790	159	54	(	(	PUNCT
gc-790	159	55	4	4	NUM
gc-790	159	56	)	)	PUNCT
gc-790	159	57	after	after	ADP
gc-790	159	58	applying	apply	VERB
gc-790	159	59	the	the	DET
gc-790	159	60	two	two	NUM
gc-790	159	61	different	different	ADJ
gc-790	159	62	equations	equation	NOUN
gc-790	159	63	for	for	ADP
gc-790	159	64	the	the	DET
gc-790	159	65	high	high	ADJ
gc-790	159	66	and	and	CCONJ
gc-790	159	67	low	low	ADJ
gc-790	159	68	porosity	porosity	NOUN
gc-790	159	69	values	value	NOUN
gc-790	159	70	,	,	PUNCT
gc-790	159	71	a	a	DET
gc-790	159	72	quality	quality	NOUN
gc-790	159	73	check	check	NOUN
gc-790	159	74	using	use	VERB
gc-790	159	75	histograms	histogram	NOUN
gc-790	159	76	(	(	PUNCT
gc-790	159	77	figure	figure	NOUN
gc-790	159	78	8)	8)	NUM
gc-790	159	79	showed	show	VERB
gc-790	159	80	that	that	SCONJ
gc-790	159	81	porosity	porosity	NOUN
gc-790	159	82	values	value	NOUN
gc-790	159	83	in	in	ADP
gc-790	159	84	the	the	DET
gc-790	159	85	range	range	NOUN
gc-790	159	86	from	from	ADP
gc-790	159	87	0	0	NUM
gc-790	159	88	to	to	PART
gc-790	159	89	12	12	NUM
gc-790	159	90	%	%	NOUN
gc-790	159	91	were	be	AUX
gc-790	159	92	refigure	refigure	ADJ
gc-790	159	93	6	6	NUM
gc-790	159	94	.	.	PUNCT
gc-790	159	95	original	original	ADJ
gc-790	159	96	and	and	CCONJ
gc-790	159	97	upscaled	upscaled	ADJ
gc-790	159	98	porosity	porosity	NOUN
gc-790	159	99	histograms	histogram	NOUN
gc-790	159	100	,	,	PUNCT
gc-790	159	101	observe	observe	VERB
gc-790	159	102	that	that	SCONJ
gc-790	159	103	the	the	DET
gc-790	159	104	whole	whole	ADJ
gc-790	159	105	range	range	NOUN
gc-790	159	106	of	of	ADP
gc-790	159	107	data	datum	NOUN
gc-790	159	108	between	between	ADP
gc-790	159	109	0	0	NUM
gc-790	159	110	and	and	CCONJ
gc-790	159	111	12	12	NUM
gc-790	159	112	%	%	NOUN
gc-790	159	113	porosity	porosity	NOUN
gc-790	159	114	is	be	AUX
gc-790	159	115	missing	miss	VERB
gc-790	159	116	in	in	ADP
gc-790	159	117	the	the	DET
gc-790	159	118	input	input	NOUN
gc-790	159	119	data	datum	NOUN
gc-790	159	120	as	as	ADP
gc-790	159	121	a	a	DET
gc-790	159	122	consequence	consequence	NOUN
gc-790	159	123	of	of	ADP
gc-790	159	124	the	the	DET
gc-790	159	125	applied	apply	VERB
gc-790	159	126	single	single	ADJ
gc-790	159	127	linear	linear	PROPN
gc-790	159	128	mathematical	mathematical	ADJ
gc-790	159	129	relationship	relationship	NOUN
gc-790	159	130	.	.	PUNCT
gc-790	160	1	figure	figure	NOUN
gc-790	160	2	7	7	NUM
gc-790	160	3	.	.	PUNCT
gc-790	160	4	cross	cross	PROPN
gc-790	160	5	plot	plot	PROPN
gc-790	160	6	diagram	diagram	NOUN
gc-790	160	7	porosity	porosity	NOUN
gc-790	160	8	(	(	PUNCT
gc-790	160	9	core	core	NOUN
gc-790	160	10	)	)	PUNCT
gc-790	160	11	vs.	vs.	ADP
gc-790	160	12	porosity	porosity	NOUN
gc-790	160	13	(	(	PUNCT
gc-790	160	14	petrophysical	petrophysical	ADJ
gc-790	160	15	analysis	analysis	NOUN
gc-790	160	16	)	)	PUNCT
gc-790	160	17	with	with	ADP
gc-790	160	18	linear	linear	ADJ
gc-790	160	19	relationships	relationship	NOUN
gc-790	160	20	established	establish	VERB
gc-790	160	21	separately	separately	ADV
gc-790	160	22	for	for	ADP
gc-790	160	23	low	low	ADJ
gc-790	160	24	and	and	CCONJ
gc-790	160	25	high	high	ADJ
gc-790	160	26	porosity	porosity	NOUN
gc-790	160	27	value	value	NOUN
gc-790	160	28	intervals	interval	NOUN
gc-790	160	29	(	(	PUNCT
gc-790	160	30	novak	novak	PROPN
gc-790	160	31	zelenika	zelenika	X
gc-790	160	32	et	et	PROPN
gc-790	160	33	al	al	PROPN
gc-790	160	34	.	.	PROPN
gc-790	160	35	,	,	PUNCT
gc-790	160	36	2016	2016	NUM
gc-790	160	37	)	)	PUNCT
gc-790	160	38	.	.	PUNCT
gc-790	161	1	g	g	PROPN
gc-790	161	2	eologia	eologia	PROPN
gc-790	161	3	c	c	PROPN
gc-790	161	4	roatica	roatica	ADV
gc-790	161	5	novak	novak	PROPN
gc-790	161	6	zelenika	zelenika	X
gc-790	161	7	et	et	PROPN
gc-790	161	8	al	al	PROPN
gc-790	161	9	.	.	PROPN
gc-790	161	10	:	:	PUNCT
gc-790	162	1	application	application	NOUN
gc-790	162	2	of	of	ADP
gc-790	162	3	deterministic	deterministic	ADJ
gc-790	162	4	and	and	CCONJ
gc-790	162	5	stochastic	stochastic	ADJ
gc-790	162	6	geostatistical	geostatistical	ADJ
gc-790	162	7	methods	method	NOUN
gc-790	162	8	in	in	ADP
gc-790	162	9	petrophysical	petrophysical	ADJ
gc-790	162	10	modelling	modelling	NOUN
gc-790	162	11	–	–	PUNCT
gc-790	162	12	a	a	DET
gc-790	162	13	case	case	NOUN
gc-790	162	14	study	study	NOUN
gc-790	162	15	of	of	ADP
gc-790	162	16	upper	upper	ADJ
gc-790	162	17	...	...	PUNCT
gc-790	162	18	111	111	NUM
gc-790	162	19	covered	cover	VERB
gc-790	162	20	.	.	PUNCT
gc-790	163	1	also	also	ADV
gc-790	163	2	,	,	PUNCT
gc-790	163	3	the	the	DET
gc-790	163	4	match	match	NOUN
gc-790	163	5	between	between	ADP
gc-790	163	6	the	the	DET
gc-790	163	7	input	input	NOUN
gc-790	163	8	corrected	correct	VERB
gc-790	163	9	log	log	NOUN
gc-790	163	10	porosity	porosity	NOUN
gc-790	163	11	and	and	CCONJ
gc-790	163	12	upscaled	upscaled	ADJ
gc-790	163	13	values	value	NOUN
gc-790	163	14	was	be	AUX
gc-790	163	15	considered	consider	VERB
gc-790	163	16	satisfactory	satisfactory	ADJ
gc-790	163	17	.	.	PUNCT
gc-790	164	1	modelled	model	VERB
gc-790	164	2	,	,	PUNCT
gc-790	164	3	ordinary	ordinary	ADJ
gc-790	164	4	kriging	krige	VERB
gc-790	164	5	distributed	distribute	VERB
gc-790	164	6	values	value	NOUN
gc-790	164	7	showed	show	VERB
gc-790	164	8	lower	low	ADJ
gc-790	164	9	values	value	NOUN
gc-790	164	10	than	than	ADP
gc-790	164	11	the	the	DET
gc-790	164	12	original	original	ADJ
gc-790	164	13	data	datum	NOUN
gc-790	164	14	(	(	PUNCT
gc-790	164	15	figure	figure	NOUN
gc-790	164	16	8)	8)	NUM
gc-790	164	17	because	because	SCONJ
gc-790	164	18	the	the	DET
gc-790	164	19	mean	mean	NOUN
gc-790	164	20	and	and	CCONJ
gc-790	164	21	the	the	DET
gc-790	164	22	variance	variance	NOUN
gc-790	164	23	of	of	ADP
gc-790	164	24	the	the	DET
gc-790	164	25	kriging	krige	VERB
gc-790	164	26	estimates	estimate	NOUN
gc-790	164	27	are	be	AUX
gc-790	164	28	considerably	considerably	ADV
gc-790	164	29	less	less	ADJ
gc-790	164	30	than	than	ADP
gc-790	164	31	the	the	DET
gc-790	164	32	true	true	ADJ
gc-790	164	33	values	value	NOUN
gc-790	164	34	.	.	PUNCT
gc-790	165	1	the	the	DET
gc-790	165	2	mean	mean	ADJ
gc-790	165	3	values	value	NOUN
gc-790	165	4	are	be	AUX
gc-790	165	5	lower	low	ADJ
gc-790	165	6	because	because	SCONJ
gc-790	165	7	kriging	krige	VERB
gc-790	165	8	performs	perform	VERB
gc-790	165	9	declustering	declustere	VERB
gc-790	165	10	of	of	ADP
gc-790	165	11	the	the	DET
gc-790	165	12	original	original	ADJ
gc-790	165	13	data	datum	NOUN
gc-790	165	14	and	and	CCONJ
gc-790	165	15	the	the	DET
gc-790	165	16	variance	variance	NOUN
gc-790	165	17	is	be	AUX
gc-790	165	18	lower	low	ADJ
gc-790	165	19	because	because	SCONJ
gc-790	165	20	of	of	ADP
gc-790	165	21	the	the	DET
gc-790	165	22	smoothing	smooth	VERB
gc-790	165	23	effect	effect	NOUN
gc-790	165	24	of	of	ADP
gc-790	165	25	kriging	krige	VERB
gc-790	165	26	.	.	PUNCT
gc-790	166	1	the	the	DET
gc-790	166	2	general	general	ADJ
gc-790	166	3	trends	trend	NOUN
gc-790	166	4	are	be	AUX
gc-790	166	5	reproduced	reproduce	VERB
gc-790	166	6	quite	quite	ADV
gc-790	166	7	well	well	ADV
gc-790	166	8	(	(	PUNCT
gc-790	166	9	deutsch	deutsch	PROPN
gc-790	166	10	&	&	CCONJ
gc-790	166	11	journel	journel	PROPN
gc-790	166	12	,	,	PUNCT
gc-790	166	13	1997	1997	NUM
gc-790	166	14	)	)	PUNCT
gc-790	166	15	.	.	PUNCT
gc-790	167	1	before	before	ADP
gc-790	167	2	porosity	porosity	NOUN
gc-790	167	3	distribution	distribution	NOUN
gc-790	167	4	,	,	PUNCT
gc-790	167	5	data	datum	NOUN
gc-790	167	6	analysis	analysis	NOUN
gc-790	167	7	was	be	AUX
gc-790	167	8	performed	perform	VERB
gc-790	167	9	and	and	CCONJ
gc-790	167	10	variograms	variogram	NOUN
gc-790	167	11	for	for	ADP
gc-790	167	12	each	each	DET
gc-790	167	13	reservoir	reservoir	NOUN
gc-790	167	14	were	be	AUX
gc-790	167	15	calculated	calculate	VERB
gc-790	167	16	(	(	PUNCT
gc-790	167	17	figure	figure	NOUN
gc-790	167	18	9	9	NUM
gc-790	167	19	)	)	PUNCT
gc-790	167	20	.	.	PUNCT
gc-790	168	1	different	different	ADJ
gc-790	168	2	stochastic	stochastic	ADJ
gc-790	168	3	and	and	CCONJ
gc-790	168	4	deterministic	deterministic	ADJ
gc-790	168	5	methods	method	NOUN
gc-790	168	6	of	of	ADP
gc-790	168	7	porosity	porosity	NOUN
gc-790	168	8	distribution	distribution	NOUN
gc-790	168	9	were	be	AUX
gc-790	168	10	examined	examine	VERB
gc-790	168	11	.	.	PUNCT
gc-790	169	1	in	in	ADP
gc-790	169	2	the	the	DET
gc-790	169	3	first	first	ADJ
gc-790	169	4	phase	phase	NOUN
gc-790	169	5	,	,	PUNCT
gc-790	169	6	10	10	NUM
gc-790	169	7	realizations	realization	NOUN
gc-790	169	8	of	of	ADP
gc-790	169	9	sequential	sequential	ADJ
gc-790	169	10	gaussian	gaussian	ADJ
gc-790	169	11	simulations	simulation	NOUN
gc-790	169	12	(	(	PUNCT
gc-790	169	13	sgs	sgs	PROPN
gc-790	169	14	)	)	PUNCT
gc-790	169	15	of	of	ADP
gc-790	169	16	porosity	porosity	NOUN
gc-790	169	17	distribution	distribution	NOUN
gc-790	169	18	were	be	AUX
gc-790	169	19	performed	perform	VERB
gc-790	169	20	.	.	PUNCT
gc-790	170	1	figure	figure	NOUN
gc-790	170	2	10	10	NUM
gc-790	170	3	shows	show	VERB
gc-790	170	4	two	two	NUM
gc-790	170	5	different	different	ADJ
gc-790	170	6	realizations	realization	NOUN
gc-790	170	7	for	for	ADP
gc-790	170	8	the	the	DET
gc-790	170	9	s6	s6	PROPN
gc-790	170	10	and	and	CCONJ
gc-790	170	11	s5	s5	PROPN
gc-790	170	12	reservoirs	reservoir	NOUN
gc-790	170	13	.	.	PUNCT
gc-790	171	1	maps	map	NOUN
gc-790	171	2	clearly	clearly	ADV
gc-790	171	3	show	show	VERB
gc-790	171	4	some	some	DET
gc-790	171	5	areas	area	NOUN
gc-790	171	6	with	with	ADP
gc-790	171	7	huge	huge	ADJ
gc-790	171	8	differences	difference	NOUN
gc-790	171	9	between	between	ADP
gc-790	171	10	estimated	estimate	VERB
gc-790	171	11	cell	cell	NOUN
gc-790	171	12	values	value	NOUN
gc-790	171	13	in	in	ADP
gc-790	171	14	different	different	ADJ
gc-790	171	15	realizations	realization	NOUN
gc-790	171	16	,	,	PUNCT
gc-790	171	17	for	for	ADP
gc-790	171	18	example	example	NOUN
gc-790	171	19	the	the	DET
gc-790	171	20	northern	northern	ADJ
gc-790	171	21	and	and	CCONJ
gc-790	171	22	north	north	ADJ
gc-790	171	23	-	-	PUNCT
gc-790	171	24	western	western	ADJ
gc-790	171	25	parts	part	NOUN
gc-790	171	26	of	of	ADP
gc-790	171	27	the	the	DET
gc-790	171	28	s6	s6	PROPN
gc-790	171	29	reservoir	reservoir	PROPN
gc-790	171	30	and	and	CCONJ
gc-790	171	31	the	the	DET
gc-790	171	32	eastern	eastern	ADJ
gc-790	171	33	part	part	NOUN
gc-790	171	34	of	of	ADP
gc-790	171	35	the	the	DET
gc-790	171	36	s5	s5	PROPN
gc-790	171	37	reservoir	reservoir	PROPN
gc-790	171	38	.	.	PUNCT
gc-790	172	1	these	these	DET
gc-790	172	2	parts	part	NOUN
gc-790	172	3	are	be	AUX
gc-790	172	4	areas	area	NOUN
gc-790	172	5	with	with	ADP
gc-790	172	6	the	the	DET
gc-790	172	7	highest	high	ADJ
gc-790	172	8	uncertainty	uncertainty	NOUN
gc-790	172	9	caused	cause	VERB
gc-790	172	10	by	by	ADP
gc-790	172	11	a	a	DET
gc-790	172	12	lack	lack	NOUN
gc-790	172	13	of	of	ADP
gc-790	172	14	well	well	ADJ
gc-790	172	15	data	datum	NOUN
gc-790	172	16	.	.	PUNCT
gc-790	173	1	large	large	ADJ
gc-790	173	2	differences	difference	NOUN
gc-790	173	3	between	between	ADP
gc-790	173	4	the	the	DET
gc-790	173	5	neighbouring	neighbouring	ADJ
gc-790	173	6	cell	cell	NOUN
gc-790	173	7	values	value	NOUN
gc-790	173	8	can	can	AUX
gc-790	173	9	be	be	AUX
gc-790	173	10	also	also	ADV
gc-790	173	11	very	very	ADV
gc-790	173	12	clearly	clearly	ADV
gc-790	173	13	observed	observe	VERB
gc-790	173	14	in	in	ADP
gc-790	173	15	all	all	DET
gc-790	173	16	realizations	realization	NOUN
gc-790	173	17	(	(	PUNCT
gc-790	173	18	figure	figure	NOUN
gc-790	173	19	10	10	NUM
gc-790	173	20	)	)	PUNCT
gc-790	173	21	.	.	PUNCT
gc-790	174	1	due	due	ADP
gc-790	174	2	to	to	ADP
gc-790	174	3	the	the	DET
gc-790	174	4	simulated	simulated	ADJ
gc-790	174	5	values	value	NOUN
gc-790	174	6	which	which	PRON
gc-790	174	7	were	be	AUX
gc-790	174	8	significantly	significantly	ADV
gc-790	174	9	diffe­	diffe­	PROPN
gc-790	174	10	rent	rent	NOUN
gc-790	174	11	in	in	ADP
gc-790	174	12	neighbouring	neighbouring	ADJ
gc-790	174	13	cells	cell	NOUN
gc-790	174	14	,	,	PUNCT
gc-790	174	15	problems	problem	NOUN
gc-790	174	16	occurred	occur	VERB
gc-790	174	17	in	in	ADP
gc-790	174	18	fluid	fluid	ADJ
gc-790	174	19	flow	flow	NOUN
gc-790	174	20	simulation	simulation	NOUN
gc-790	174	21	during	during	ADP
gc-790	174	22	dynamic	dynamic	ADJ
gc-790	174	23	modelling	modelling	NOUN
gc-790	174	24	as	as	SCONJ
gc-790	174	25	proved	prove	VERB
gc-790	174	26	by	by	ADP
gc-790	174	27	the	the	DET
gc-790	174	28	sensitivity	sensitivity	NOUN
gc-790	174	29	performed	perform	VERB
gc-790	174	30	on	on	ADP
gc-790	174	31	required	require	VERB
gc-790	174	32	simulation	simulation	NOUN
gc-790	174	33	time	time	NOUN
gc-790	174	34	(	(	PUNCT
gc-790	174	35	figure	figure	NOUN
gc-790	174	36	11	11	NUM
gc-790	174	37	)	)	PUNCT
gc-790	174	38	.	.	PUNCT
gc-790	175	1	implementation	implementation	NOUN
gc-790	175	2	of	of	ADP
gc-790	175	3	sgs	sgs	PROPN
gc-790	175	4	modelled	model	VERB
gc-790	175	5	porosity	porosity	NOUN
gc-790	175	6	resulted	result	VERB
gc-790	175	7	in	in	ADP
gc-790	175	8	unacceptable	unacceptable	ADJ
gc-790	175	9	simulation	simulation	NOUN
gc-790	175	10	durations	duration	NOUN
gc-790	175	11	of	of	ADP
gc-790	175	12	12–16	12–16	NUM
gc-790	175	13	hours	hour	NOUN
gc-790	175	14	for	for	ADP
gc-790	175	15	approximately	approximately	ADV
gc-790	175	16	20	20	NUM
gc-790	175	17	years	year	NOUN
gc-790	175	18	of	of	ADP
gc-790	175	19	production	production	NOUN
gc-790	175	20	history	history	NOUN
gc-790	175	21	.	.	PUNCT
gc-790	176	1	finally	finally	ADV
gc-790	176	2	,	,	PUNCT
gc-790	176	3	to	to	PART
gc-790	176	4	avoid	avoid	VERB
gc-790	176	5	problems	problem	NOUN
gc-790	176	6	in	in	ADP
gc-790	176	7	numerical	numerical	ADJ
gc-790	176	8	modelling	modelling	NOUN
gc-790	176	9	,	,	PUNCT
gc-790	176	10	porosity	porosity	NOUN
gc-790	176	11	has	have	AUX
gc-790	176	12	been	be	AUX
gc-790	176	13	distributed	distribute	VERB
gc-790	176	14	using	use	VERB
gc-790	176	15	the	the	DET
gc-790	176	16	ordinary	ordinary	ADJ
gc-790	176	17	kriging	krige	VERB
gc-790	176	18	method	method	NOUN
gc-790	176	19	(	(	PUNCT
gc-790	176	20	figure	figure	NOUN
gc-790	176	21	12	12	NUM
gc-790	176	22	)	)	PUNCT
gc-790	176	23	.	.	PUNCT
gc-790	177	1	a	a	DET
gc-790	177	2	synthetic	synthetic	ADJ
gc-790	177	3	lithofacies	lithofacie	NOUN
gc-790	177	4	log	log	NOUN
gc-790	177	5	had	have	AUX
gc-790	177	6	been	be	AUX
gc-790	177	7	created	create	VERB
gc-790	177	8	based	base	VERB
gc-790	177	9	on	on	ADP
gc-790	177	10	poro­	poro­	NOUN
gc-790	177	11	sity	sity	NOUN
gc-790	177	12	(	(	PUNCT
gc-790	177	13	if	if	SCONJ
gc-790	177	14	the	the	DET
gc-790	177	15	porosity	porosity	NOUN
gc-790	177	16	was	be	AUX
gc-790	177	17	higher	high	ADJ
gc-790	177	18	than	than	ADP
gc-790	177	19	11	11	NUM
gc-790	177	20	%	%	NOUN
gc-790	177	21	the	the	DET
gc-790	177	22	lithofacies	lithofacie	NOUN
gc-790	177	23	log	log	VERB
gc-790	177	24	represents	represent	VERB
gc-790	177	25	sandstones	sandstone	NOUN
gc-790	177	26	,	,	PUNCT
gc-790	177	27	otherwise	otherwise	ADV
gc-790	177	28	it	it	PRON
gc-790	177	29	represents	represent	VERB
gc-790	177	30	marls	marl	NOUN
gc-790	177	31	)	)	PUNCT
gc-790	177	32	,	,	PUNCT
gc-790	177	33	and	and	CCONJ
gc-790	177	34	it	it	PRON
gc-790	177	35	had	have	AUX
gc-790	177	36	been	be	AUX
gc-790	177	37	used	use	VERB
gc-790	177	38	as	as	ADP
gc-790	177	39	a	a	DET
gc-790	177	40	bias	bias	NOUN
gc-790	177	41	for	for	ADP
gc-790	177	42	porosity	porosity	NOUN
gc-790	177	43	upscaling	upscaling	NOUN
gc-790	177	44	.	.	PUNCT
gc-790	178	1	the	the	DET
gc-790	178	2	value	value	NOUN
gc-790	178	3	of	of	ADP
gc-790	178	4	11	11	NUM
gc-790	178	5	%	%	NOUN
gc-790	178	6	of	of	ADP
gc-790	178	7	porosity	porosity	NOUN
gc-790	178	8	was	be	AUX
gc-790	178	9	chosen	choose	VERB
gc-790	178	10	based	base	VERB
gc-790	178	11	on	on	ADP
gc-790	178	12	correlation	correlation	NOUN
gc-790	178	13	between	between	ADP
gc-790	178	14	porosity	porosity	NOUN
gc-790	178	15	and	and	CCONJ
gc-790	178	16	permeability	permeability	NOUN
gc-790	178	17	.	.	PUNCT
gc-790	179	1	11	11	NUM
gc-790	179	2	%	%	NOUN
gc-790	179	3	porosity	porosity	NOUN
gc-790	179	4	matches	match	VERB
gc-790	179	5	a	a	DET
gc-790	179	6	permeability	permeability	NOUN
gc-790	179	7	of	of	ADP
gc-790	179	8	1	1	NUM
gc-790	179	9	*	*	NOUN
gc-790	179	10	10­3µm2	10­3µm2	NUM
gc-790	179	11	,	,	PUNCT
gc-790	179	12	which	which	PRON
gc-790	179	13	was	be	AUX
gc-790	179	14	proved	prove	VERB
gc-790	179	15	as	as	ADP
gc-790	179	16	the	the	DET
gc-790	179	17	lowest	low	ADJ
gc-790	179	18	permeability	permeability	NOUN
gc-790	179	19	for	for	ADP
gc-790	179	20	oil	oil	NOUN
gc-790	179	21	production	production	NOUN
gc-790	179	22	in	in	ADP
gc-790	179	23	the	the	DET
gc-790	179	24	studied	study	VERB
gc-790	179	25	reservoirs	reservoir	NOUN
gc-790	179	26	.	.	PUNCT
gc-790	180	1	in	in	ADP
gc-790	180	2	this	this	DET
gc-790	180	3	way	way	NOUN
gc-790	180	4	input	input	NOUN
gc-790	180	5	porosity	porosity	NOUN
gc-790	180	6	data	datum	NOUN
gc-790	180	7	are	be	AUX
gc-790	180	8	weighted	weight	VERB
gc-790	180	9	according	accord	VERB
gc-790	180	10	to	to	ADP
gc-790	180	11	prevailing	prevail	VERB
gc-790	180	12	lithofacies	lithofacie	NOUN
gc-790	180	13	.	.	PUNCT
gc-790	181	1	porosity	porosity	NOUN
gc-790	181	2	logs	log	NOUN
gc-790	181	3	had	have	AUX
gc-790	181	4	been	be	AUX
gc-790	181	5	upscaled	upscale	VERB
gc-790	181	6	using	use	VERB
gc-790	181	7	arithmetic	arithmetic	ADJ
gc-790	181	8	average	average	ADJ
gc-790	181	9	methods	method	NOUN
gc-790	181	10	for	for	ADP
gc-790	181	11	each	each	DET
gc-790	181	12	reservoir	reservoir	NOUN
gc-790	181	13	.	.	PUNCT
gc-790	182	1	a	a	DET
gc-790	182	2	channel	channel	NOUN
gc-790	182	3	sandstone	sandstone	NOUN
gc-790	182	4	body	body	NOUN
gc-790	182	5	(	(	PUNCT
gc-790	182	6	s5	s5	PROPN
gc-790	182	7	reservoir	reservoir	PROPN
gc-790	182	8	)	)	PUNCT
gc-790	182	9	is	be	AUX
gc-790	182	10	clearly	clearly	ADV
gc-790	182	11	observed	observe	VERB
gc-790	182	12	in	in	ADP
gc-790	182	13	the	the	DET
gc-790	182	14	central	central	ADJ
gc-790	182	15	part	part	NOUN
gc-790	182	16	of	of	ADP
gc-790	182	17	the	the	DET
gc-790	182	18	ordinary	ordinary	ADJ
gc-790	182	19	kriging	krige	VERB
gc-790	182	20	map	map	NOUN
gc-790	182	21	(	(	PUNCT
gc-790	182	22	figure	figure	NOUN
gc-790	182	23	12	12	NUM
gc-790	182	24	right	right	NOUN
gc-790	182	25	)	)	PUNCT
gc-790	182	26	.	.	PUNCT
gc-790	183	1	it	it	PRON
gc-790	183	2	is	be	AUX
gc-790	183	3	clearly	clearly	ADV
gc-790	183	4	seen	see	VERB
gc-790	183	5	that	that	SCONJ
gc-790	183	6	the	the	DET
gc-790	183	7	higher	high	ADJ
gc-790	183	8	porosities	porosity	NOUN
gc-790	183	9	are	be	AUX
gc-790	183	10	in	in	ADP
gc-790	183	11	the	the	DET
gc-790	183	12	channel	channel	NOUN
gc-790	183	13	centre	centre	NOUN
gc-790	183	14	,	,	PUNCT
gc-790	183	15	while	while	SCONJ
gc-790	183	16	toward	toward	ADP
gc-790	183	17	its	its	PRON
gc-790	183	18	borders	border	NOUN
gc-790	183	19	porosity	porosity	NOUN
gc-790	183	20	decreases	decrease	VERB
gc-790	183	21	.	.	PUNCT
gc-790	184	1	this	this	PRON
gc-790	184	2	could	could	AUX
gc-790	184	3	point	point	VERB
gc-790	184	4	to	to	ADP
gc-790	184	5	the	the	DET
gc-790	184	6	existence	existence	NOUN
gc-790	184	7	of	of	ADP
gc-790	184	8	transitional	transitional	ADJ
gc-790	184	9	lithofacies	lithofacie	NOUN
gc-790	184	10	including	include	VERB
gc-790	184	11	sandy	sandy	ADJ
gc-790	184	12	silts	silt	NOUN
gc-790	184	13	and	and	CCONJ
gc-790	184	14	silty	silty	NOUN
gc-790	184	15	sandstones	sandstone	NOUN
gc-790	184	16	.	.	PUNCT
gc-790	185	1	a	a	DET
gc-790	185	2	smooth	smooth	ADJ
gc-790	185	3	transition	transition	NOUN
gc-790	185	4	between	between	ADP
gc-790	185	5	neighbouring	neighbouring	NOUN
gc-790	185	6	cells	cell	NOUN
gc-790	185	7	makes	make	VERB
gc-790	185	8	an	an	DET
gc-790	185	9	ordinary	ordinary	ADJ
gc-790	185	10	kriging	krige	VERB
gc-790	185	11	solution	solution	NOUN
gc-790	185	12	more	more	ADV
gc-790	185	13	acceptable	acceptable	ADJ
gc-790	185	14	in	in	ADP
gc-790	185	15	numerical	numerical	ADJ
gc-790	185	16	modelling	modelling	NOUN
gc-790	185	17	(	(	PUNCT
gc-790	185	18	figure	figure	NOUN
gc-790	185	19	13	13	NUM
gc-790	185	20	)	)	PUNCT
gc-790	185	21	.	.	PUNCT
gc-790	186	1	figure	figure	VERB
gc-790	186	2	8	8	NUM
gc-790	186	3	.	.	PUNCT
gc-790	187	1	histograms	histogram	NOUN
gc-790	187	2	of	of	ADP
gc-790	187	3	porosity	porosity	NOUN
gc-790	187	4	after	after	ADP
gc-790	187	5	applying	apply	VERB
gc-790	187	6	the	the	DET
gc-790	187	7	two	two	NUM
gc-790	187	8	equations	equation	NOUN
gc-790	187	9	.	.	PUNCT
gc-790	188	1	figure	figure	NOUN
gc-790	188	2	9	9	NUM
gc-790	188	3	.	.	PUNCT
gc-790	189	1	variograms	variogram	NOUN
gc-790	189	2	of	of	ADP
gc-790	189	3	porosity	porosity	NOUN
gc-790	189	4	for	for	ADP
gc-790	189	5	the	the	DET
gc-790	189	6	s6	s6	PROPN
gc-790	189	7	and	and	CCONJ
gc-790	189	8	s5	s5	PROPN
gc-790	189	9	reservoirs	reservoir	NOUN
gc-790	189	10	.	.	PUNCT
gc-790	190	1	g	g	PROPN
gc-790	190	2	eo	eo	PROPN
gc-790	190	3	lo	lo	PROPN
gc-790	190	4	gi	gi	VERB
gc-790	190	5	a	a	DET
gc-790	190	6	c	c	X
gc-790	190	7	ro	ro	X
gc-790	190	8	at	at	ADP
gc-790	190	9	ic	ic	PROPN
gc-790	190	10	a	a	DET
gc-790	190	11	geologia	geologia	ADJ
gc-790	190	12	croatica	croatica	NOUN
gc-790	190	13	70/2112	70/2112	NUM
gc-790	190	14	figure	figure	NOUN
gc-790	190	15	11	11	NUM
gc-790	190	16	.	.	PUNCT
gc-790	191	1	illustration	illustration	NOUN
gc-790	191	2	of	of	ADP
gc-790	191	3	simulation	simulation	NOUN
gc-790	191	4	duration	duration	NOUN
gc-790	191	5	for	for	ADP
gc-790	191	6	different	different	ADJ
gc-790	191	7	property	property	NOUN
gc-790	191	8	model	model	NOUN
gc-790	191	9	realizations	realization	NOUN
gc-790	191	10	(	(	PUNCT
gc-790	191	11	sgs	sgs	PROPN
gc-790	191	12	realizations	realization	NOUN
gc-790	191	13	1	1	NUM
gc-790	191	14	-	-	SYM
gc-790	191	15	5	5	NUM
gc-790	191	16	)	)	PUNCT
gc-790	191	17	.	.	PUNCT
gc-790	192	1	figure	figure	NOUN
gc-790	192	2	12	12	NUM
gc-790	192	3	.	.	PUNCT
gc-790	193	1	porosity	porosity	NOUN
gc-790	193	2	distribution	distribution	NOUN
gc-790	193	3	obtained	obtain	VERB
gc-790	193	4	by	by	ADP
gc-790	193	5	ordinary	ordinary	ADJ
gc-790	193	6	kriging	kriging	NOUN
gc-790	193	7	in	in	ADP
gc-790	193	8	s6	s6	PROPN
gc-790	193	9	(	(	PUNCT
gc-790	193	10	widely	widely	ADV
gc-790	193	11	distributed	distribute	VERB
gc-790	193	12	over	over	ADP
gc-790	193	13	the	the	DET
gc-790	193	14	area	area	NOUN
gc-790	193	15	)	)	PUNCT
gc-790	193	16	and	and	CCONJ
gc-790	193	17	s5	s5	PROPN
gc-790	193	18	(	(	PUNCT
gc-790	193	19	channels	channel	NOUN
gc-790	193	20	)	)	PUNCT
gc-790	193	21	reservoirs	reservoir	NOUN
gc-790	193	22	.	.	PUNCT
gc-790	194	1	g	g	PROPN
gc-790	194	2	eologia	eologia	PROPN
gc-790	194	3	c	c	PROPN
gc-790	194	4	roatica	roatica	ADV
gc-790	194	5	novak	novak	PROPN
gc-790	194	6	zelenika	zelenika	X
gc-790	194	7	et	et	PROPN
gc-790	194	8	al	al	PROPN
gc-790	194	9	.	.	PROPN
gc-790	194	10	:	:	PUNCT
gc-790	195	1	application	application	NOUN
gc-790	195	2	of	of	ADP
gc-790	195	3	deterministic	deterministic	ADJ
gc-790	195	4	and	and	CCONJ
gc-790	195	5	stochastic	stochastic	ADJ
gc-790	195	6	geostatistical	geostatistical	ADJ
gc-790	195	7	methods	method	NOUN
gc-790	195	8	in	in	ADP
gc-790	195	9	petrophysical	petrophysical	ADJ
gc-790	195	10	modelling	modelling	NOUN
gc-790	195	11	–	–	PUNCT
gc-790	195	12	a	a	DET
gc-790	195	13	case	case	NOUN
gc-790	195	14	study	study	NOUN
gc-790	195	15	of	of	ADP
gc-790	195	16	upper	upper	ADJ
gc-790	195	17	...	...	PUNCT
gc-790	195	18	113	113	NUM
gc-790	195	19	5	5	NUM
gc-790	195	20	.	.	PUNCT
gc-790	195	21	conclusion	conclusion	NOUN
gc-790	195	22	the	the	DET
gc-790	195	23	analysed	analyse	VERB
gc-790	195	24	reservoirs	reservoir	NOUN
gc-790	195	25	,	,	PUNCT
gc-790	195	26	recently	recently	ADV
gc-790	195	27	defined	define	VERB
gc-790	195	28	as	as	ADP
gc-790	195	29	lower	low	ADJ
gc-790	195	30	pontian	pontian	ADJ
gc-790	195	31	,	,	PUNCT
gc-790	195	32	consist	consist	NOUN
gc-790	195	33	of	of	ADP
gc-790	195	34	medium	medium	NOUN
gc-790	195	35	and	and	CCONJ
gc-790	195	36	fine­grained	fine­grained	ADJ
gc-790	195	37	lithoarenites	lithoarenite	NOUN
gc-790	195	38	in	in	ADP
gc-790	195	39	continuous	continuous	ADJ
gc-790	195	40	alternation	alternation	NOUN
gc-790	195	41	with	with	ADP
gc-790	195	42	marls	marls	PROPN
gc-790	195	43	.	.	PUNCT
gc-790	196	1	marl	marl	NOUN
gc-790	196	2	layers	layer	NOUN
gc-790	196	3	are	be	AUX
gc-790	196	4	not	not	PART
gc-790	196	5	always	always	ADV
gc-790	196	6	continuous	continuous	ADJ
gc-790	196	7	and	and	CCONJ
gc-790	196	8	in	in	ADP
gc-790	196	9	some	some	DET
gc-790	196	10	parts	part	NOUN
gc-790	196	11	of	of	ADP
gc-790	196	12	the	the	DET
gc-790	196	13	reservoirs	reservoir	NOUN
gc-790	196	14	sandstone	sandstone	NOUN
gc-790	196	15	layers	layer	NOUN
gc-790	196	16	are	be	AUX
gc-790	196	17	in	in	ADP
gc-790	196	18	direct	direct	ADJ
gc-790	196	19	contact	contact	NOUN
gc-790	196	20	with	with	ADP
gc-790	196	21	each	each	DET
gc-790	196	22	other	other	ADJ
gc-790	196	23	.	.	PUNCT
gc-790	197	1	the	the	DET
gc-790	197	2	input	input	NOUN
gc-790	197	3	data	datum	NOUN
gc-790	197	4	set	set	VERB
gc-790	197	5	used	use	VERB
gc-790	197	6	for	for	ADP
gc-790	197	7	geological	geological	ADJ
gc-790	197	8	model	model	NOUN
gc-790	197	9	construction	construction	NOUN
gc-790	197	10	comprised	comprise	VERB
gc-790	197	11	well	well	INTJ
gc-790	197	12	log	log	NOUN
gc-790	197	13	data	datum	NOUN
gc-790	197	14	,	,	PUNCT
gc-790	197	15	quantitative	quantitative	ADJ
gc-790	197	16	log	log	NOUN
gc-790	197	17	analysis	analysis	NOUN
gc-790	197	18	(	(	PUNCT
gc-790	197	19	vintage	vintage	ADJ
gc-790	197	20	data	datum	NOUN
gc-790	197	21	)	)	PUNCT
gc-790	197	22	,	,	PUNCT
gc-790	197	23	core	core	NOUN
gc-790	197	24	data	datum	NOUN
gc-790	197	25	and	and	CCONJ
gc-790	197	26	previous	previous	ADJ
gc-790	197	27	geological	geological	ADJ
gc-790	197	28	model	model	NOUN
gc-790	197	29	.	.	PUNCT
gc-790	198	1	all	all	DET
gc-790	198	2	these	these	DET
gc-790	198	3	data	datum	NOUN
gc-790	198	4	have	have	AUX
gc-790	198	5	been	be	AUX
gc-790	198	6	integrated	integrate	VERB
gc-790	198	7	and	and	CCONJ
gc-790	198	8	analysed	analyse	VERB
gc-790	198	9	.	.	PUNCT
gc-790	199	1	a	a	DET
gc-790	199	2	structural	structural	ADJ
gc-790	199	3	model	model	NOUN
gc-790	199	4	was	be	AUX
gc-790	199	5	defined	define	VERB
gc-790	199	6	with	with	ADP
gc-790	199	7	21	21	NUM
gc-790	199	8	zones	zone	NOUN
gc-790	199	9	(	(	PUNCT
gc-790	199	10	11	11	NUM
gc-790	199	11	sandstone	sandstone	NOUN
gc-790	199	12	reservoirs	reservoir	NOUN
gc-790	199	13	and	and	CCONJ
gc-790	199	14	10	10	NUM
gc-790	199	15	intercalated	intercalated	ADJ
gc-790	199	16	marl	marl	NOUN
gc-790	199	17	layers	layer	NOUN
gc-790	199	18	)	)	PUNCT
gc-790	199	19	.	.	PUNCT
gc-790	200	1	two	two	NUM
gc-790	200	2	different	different	ADJ
gc-790	200	3	layering	layering	NOUN
gc-790	200	4	methods	method	NOUN
gc-790	200	5	were	be	AUX
gc-790	200	6	applied	apply	VERB
gc-790	200	7	;	;	PUNCT
gc-790	200	8	„	„	PUNCT
gc-790	200	9	follow	follow	VERB
gc-790	200	10	top	top	NOUN
gc-790	200	11	“	"	PUNCT
gc-790	200	12	for	for	ADP
gc-790	200	13	the	the	DET
gc-790	200	14	reservoirs	reservoir	NOUN
gc-790	200	15	recognized	recognize	VERB
gc-790	200	16	as	as	ADP
gc-790	200	17	channel	channel	NOUN
gc-790	200	18	bodies	body	NOUN
gc-790	200	19	with	with	ADP
gc-790	200	20	great	great	ADJ
gc-790	200	21	lateral	lateral	ADJ
gc-790	200	22	variability	variability	NOUN
gc-790	200	23	of	of	ADP
gc-790	200	24	thickness	thickness	NOUN
gc-790	200	25	and	and	CCONJ
gc-790	200	26	„	„	PUNCT
gc-790	200	27	proportional	proportional	ADJ
gc-790	200	28	“	"	PUNCT
gc-790	200	29	for	for	ADP
gc-790	200	30	all	all	DET
gc-790	200	31	others	other	NOUN
gc-790	200	32	that	that	PRON
gc-790	200	33	did	do	AUX
gc-790	200	34	not	not	PART
gc-790	200	35	show	show	VERB
gc-790	200	36	the	the	DET
gc-790	200	37	geometry	geometry	NOUN
gc-790	200	38	of	of	ADP
gc-790	200	39	channel	channel	NOUN
gc-790	200	40	sandstones	sandstone	NOUN
gc-790	200	41	but	but	CCONJ
gc-790	200	42	rather	rather	ADV
gc-790	200	43	laterally	laterally	ADV
gc-790	200	44	extensive	extensive	ADJ
gc-790	200	45	layers	layer	NOUN
gc-790	200	46	over	over	ADP
gc-790	200	47	the	the	DET
gc-790	200	48	study	study	NOUN
gc-790	200	49	area	area	NOUN
gc-790	200	50	.	.	PUNCT
gc-790	201	1	corrections	correction	NOUN
gc-790	201	2	for	for	ADP
gc-790	201	3	overburden	overburden	ADJ
gc-790	201	4	pressure	pressure	NOUN
gc-790	201	5	and	and	CCONJ
gc-790	201	6	depth	depth	NOUN
gc-790	201	7	correlation	correlation	NOUN
gc-790	201	8	of	of	ADP
gc-790	201	9	log	log	NOUN
gc-790	201	10	analyses	analysis	NOUN
gc-790	201	11	and	and	CCONJ
gc-790	201	12	coring	core	VERB
gc-790	201	13	data	datum	NOUN
gc-790	201	14	were	be	AUX
gc-790	201	15	performed	perform	VERB
gc-790	201	16	.	.	PUNCT
gc-790	202	1	relationships	relationship	NOUN
gc-790	202	2	between	between	ADP
gc-790	202	3	log	log	NOUN
gc-790	202	4	and	and	CCONJ
gc-790	202	5	core	core	NOUN
gc-790	202	6	data	datum	NOUN
gc-790	202	7	were	be	AUX
gc-790	202	8	established	establish	VERB
gc-790	202	9	by	by	ADP
gc-790	202	10	two	two	NUM
gc-790	202	11	equations	equation	NOUN
gc-790	202	12	;	;	PUNCT
gc-790	202	13	one	one	NUM
gc-790	202	14	for	for	ADP
gc-790	202	15	the	the	DET
gc-790	202	16	low	low	NOUN
gc-790	202	17	and	and	CCONJ
gc-790	202	18	the	the	DET
gc-790	202	19	other	other	ADJ
gc-790	202	20	for	for	ADP
gc-790	202	21	the	the	DET
gc-790	202	22	high	high	ADJ
gc-790	202	23	porosity	porosity	NOUN
gc-790	202	24	values	value	NOUN
gc-790	202	25	.	.	PUNCT
gc-790	203	1	after	after	SCONJ
gc-790	203	2	variogram	variogram	NOUN
gc-790	203	3	analysis	analysis	NOUN
gc-790	203	4	for	for	SCONJ
gc-790	203	5	each	each	DET
gc-790	203	6	reservoir	reservoir	NOUN
gc-790	203	7	was	be	AUX
gc-790	203	8	undertaken	undertake	VERB
gc-790	203	9	,	,	PUNCT
gc-790	203	10	different	different	ADJ
gc-790	203	11	stochastic	stochastic	ADJ
gc-790	203	12	and	and	CCONJ
gc-790	203	13	deterministic	deterministic	ADJ
gc-790	203	14	methods	method	NOUN
gc-790	203	15	of	of	ADP
gc-790	203	16	porosity	porosity	NOUN
gc-790	203	17	distribution	distribution	NOUN
gc-790	203	18	were	be	AUX
gc-790	203	19	examined	examine	VERB
gc-790	203	20	.	.	PUNCT
gc-790	204	1	10	10	NUM
gc-790	204	2	realizations	realization	NOUN
gc-790	204	3	of	of	ADP
gc-790	204	4	sequential	sequential	ADJ
gc-790	204	5	gaussian	gaussian	ADJ
gc-790	204	6	simulations	simulation	NOUN
gc-790	204	7	were	be	AUX
gc-790	204	8	performed	perform	VERB
gc-790	204	9	which	which	PRON
gc-790	204	10	enabled	enable	VERB
gc-790	204	11	a	a	DET
gc-790	204	12	clear	clear	ADJ
gc-790	204	13	insight	insight	NOUN
gc-790	204	14	into	into	ADP
gc-790	204	15	the	the	DET
gc-790	204	16	reservoirs	reservoir	NOUN
gc-790	204	17	uncertainty	uncertainty	NOUN
gc-790	204	18	.	.	PUNCT
gc-790	205	1	areas	area	NOUN
gc-790	205	2	with	with	ADP
gc-790	205	3	the	the	DET
gc-790	205	4	highest	high	ADJ
gc-790	205	5	uncertainty	uncertainty	NOUN
gc-790	205	6	were	be	AUX
gc-790	205	7	caused	cause	VERB
gc-790	205	8	by	by	ADP
gc-790	205	9	a	a	DET
gc-790	205	10	lack	lack	NOUN
gc-790	205	11	of	of	ADP
gc-790	205	12	data	datum	NOUN
gc-790	205	13	.	.	PUNCT
gc-790	206	1	realizations	realization	NOUN
gc-790	206	2	obtained	obtain	VERB
gc-790	206	3	by	by	ADP
gc-790	206	4	sequential	sequential	ADJ
gc-790	206	5	gaussian	gaussian	ADJ
gc-790	206	6	simulations	simulation	NOUN
gc-790	206	7	had	have	VERB
gc-790	206	8	significant	significant	ADJ
gc-790	206	9	differences	difference	NOUN
gc-790	206	10	between	between	ADP
gc-790	206	11	neighbouring	neighbouring	ADJ
gc-790	206	12	cell	cell	NOUN
gc-790	206	13	values	value	NOUN
gc-790	206	14	.	.	PUNCT
gc-790	207	1	consequences	consequence	NOUN
gc-790	207	2	of	of	ADP
gc-790	207	3	such	such	ADJ
gc-790	207	4	differences	difference	NOUN
gc-790	207	5	were	be	AUX
gc-790	207	6	many	many	ADJ
gc-790	207	7	problems	problem	NOUN
gc-790	207	8	that	that	PRON
gc-790	207	9	occurred	occur	VERB
gc-790	207	10	in	in	ADP
gc-790	207	11	numerical	numerical	ADJ
gc-790	207	12	simulation	simulation	NOUN
gc-790	207	13	,	,	PUNCT
gc-790	207	14	e.g.	e.g.	ADV
gc-790	207	15	simulation	simulation	NOUN
gc-790	207	16	time	time	NOUN
gc-790	207	17	drastically	drastically	ADV
gc-790	207	18	increased	increase	VERB
gc-790	207	19	.	.	PUNCT
gc-790	208	1	it	it	PRON
gc-790	208	2	can	can	AUX
gc-790	208	3	be	be	AUX
gc-790	208	4	concluded	conclude	VERB
gc-790	208	5	that	that	SCONJ
gc-790	208	6	well	well	ADJ
gc-790	208	7	data	datum	NOUN
gc-790	208	8	alone	alone	ADV
gc-790	208	9	are	be	AUX
gc-790	208	10	insufficient	insufficient	ADJ
gc-790	208	11	as	as	ADP
gc-790	208	12	an	an	DET
gc-790	208	13	input	input	NOUN
gc-790	208	14	for	for	ADP
gc-790	208	15	sequential	sequential	ADJ
gc-790	208	16	gaussian	gaussian	ADJ
gc-790	208	17	simulations	simulation	NOUN
gc-790	208	18	as	as	ADP
gc-790	208	19	a	a	DET
gc-790	208	20	reservoir	reservoir	NOUN
gc-790	208	21	property	property	NOUN
gc-790	208	22	distribution	distribution	NOUN
gc-790	208	23	method	method	NOUN
gc-790	208	24	.	.	PUNCT
gc-790	209	1	implementation	implementation	NOUN
gc-790	209	2	of	of	ADP
gc-790	209	3	continuous	continuous	ADJ
gc-790	209	4	data	datum	NOUN
gc-790	209	5	derived	derive	VERB
gc-790	209	6	from	from	ADP
gc-790	209	7	3d	3d	NUM
gc-790	209	8	seismic	seismic	ADJ
gc-790	209	9	volume	volume	NOUN
gc-790	209	10	as	as	ADP
gc-790	209	11	an	an	DET
gc-790	209	12	additional	additional	ADJ
gc-790	209	13	input	input	NOUN
gc-790	209	14	would	would	AUX
gc-790	209	15	certainly	certainly	ADV
gc-790	209	16	improve	improve	VERB
gc-790	209	17	the	the	DET
gc-790	209	18	results	result	NOUN
gc-790	209	19	.	.	PUNCT
gc-790	210	1	porosity	porosity	NOUN
gc-790	210	2	distribution	distribution	NOUN
gc-790	210	3	obtained	obtain	VERB
gc-790	210	4	by	by	ADP
gc-790	210	5	ordinary	ordinary	ADJ
gc-790	210	6	kriging	kriging	NOUN
gc-790	210	7	was	be	AUX
gc-790	210	8	more	more	ADV
gc-790	210	9	acceptable	acceptable	ADJ
gc-790	210	10	in	in	ADP
gc-790	210	11	numerical	numerical	ADJ
gc-790	210	12	modelling	modelling	NOUN
gc-790	210	13	,	,	PUNCT
gc-790	210	14	since	since	SCONJ
gc-790	210	15	the	the	DET
gc-790	210	16	transition	transition	NOUN
gc-790	210	17	between	between	ADP
gc-790	210	18	neighbouring	neighbouring	NOUN
gc-790	210	19	cells	cell	NOUN
gc-790	210	20	was	be	AUX
gc-790	210	21	very	very	ADV
gc-790	210	22	smooth	smooth	ADJ
gc-790	210	23	and	and	CCONJ
gc-790	210	24	most	most	ADV
gc-790	210	25	probably	probably	ADV
gc-790	210	26	better	well	ADV
gc-790	210	27	reflects	reflect	VERB
gc-790	210	28	the	the	DET
gc-790	210	29	real	real	ADJ
gc-790	210	30	geological	geological	ADJ
gc-790	210	31	picture	picture	NOUN
gc-790	210	32	.	.	PUNCT
gc-790	211	1	in	in	ADP
gc-790	211	2	the	the	DET
gc-790	211	3	reservoirs	reservoir	NOUN
gc-790	211	4	recognized	recognize	VERB
gc-790	211	5	as	as	ADP
gc-790	211	6	channel	channel	NOUN
gc-790	211	7	bodies	body	NOUN
gc-790	211	8	,	,	PUNCT
gc-790	211	9	higher	high	ADJ
gc-790	211	10	porosities	porosity	NOUN
gc-790	211	11	are	be	AUX
gc-790	211	12	located	locate	VERB
gc-790	211	13	in	in	ADP
gc-790	211	14	the	the	DET
gc-790	211	15	channel	channel	NOUN
gc-790	211	16	centre	centre	NOUN
gc-790	211	17	,	,	PUNCT
gc-790	211	18	while	while	SCONJ
gc-790	211	19	toward	toward	ADP
gc-790	211	20	the	the	DET
gc-790	211	21	channel	channel	NOUN
gc-790	211	22	margins	margin	NOUN
gc-790	211	23	porosities	porosity	NOUN
gc-790	211	24	decrease	decrease	NOUN
gc-790	211	25	.	.	PUNCT
gc-790	212	1	higher	high	ADJ
gc-790	212	2	porosity	porosity	NOUN
gc-790	212	3	values	value	NOUN
gc-790	212	4	could	could	AUX
gc-790	212	5	represent	represent	VERB
gc-790	212	6	pure	pure	ADJ
gc-790	212	7	sandstones	sandstone	NOUN
gc-790	212	8	.	.	PUNCT
gc-790	213	1	porosity	porosity	NOUN
gc-790	213	2	decreasing	decrease	VERB
gc-790	213	3	towards	towards	ADP
gc-790	213	4	the	the	DET
gc-790	213	5	channel	channel	NOUN
gc-790	213	6	margins	margin	NOUN
gc-790	213	7	indicates	indicate	VERB
gc-790	213	8	sandstones	sandstone	NOUN
gc-790	213	9	with	with	ADP
gc-790	213	10	a	a	DET
gc-790	213	11	more	more	ADV
gc-790	213	12	silty	silty	NOUN
gc-790	213	13	and	and	CCONJ
gc-790	213	14	marly	marly	ADJ
gc-790	213	15	component	component	NOUN
gc-790	213	16	,	,	PUNCT
gc-790	213	17	i.e.	i.e.	X
gc-790	213	18	to	to	ADP
gc-790	213	19	silty	silty	NOUN
gc-790	213	20	sandstones	sandstone	NOUN
gc-790	213	21	and	and	CCONJ
gc-790	213	22	sandy	sandy	ADJ
gc-790	213	23	silts	silt	NOUN
gc-790	213	24	.	.	PUNCT
gc-790	214	1	dynamic	dynamic	ADJ
gc-790	214	2	simulation	simulation	NOUN
gc-790	214	3	must	must	AUX
gc-790	214	4	match	match	VERB
gc-790	214	5	former	former	ADJ
gc-790	214	6	production	production	NOUN
gc-790	214	7	history	history	NOUN
gc-790	214	8	as	as	ADV
gc-790	214	9	well	well	ADV
gc-790	214	10	as	as	ADP
gc-790	214	11	future	future	ADJ
gc-790	214	12	production	production	NOUN
gc-790	214	13	prediction	prediction	NOUN
gc-790	214	14	.	.	PUNCT
gc-790	215	1	taking	take	VERB
gc-790	215	2	into	into	ADP
gc-790	215	3	account	account	NOUN
gc-790	215	4	that	that	SCONJ
gc-790	215	5	the	the	DET
gc-790	215	6	geological	geological	ADJ
gc-790	215	7	model	model	NOUN
gc-790	215	8	represents	represent	VERB
gc-790	215	9	the	the	DET
gc-790	215	10	main	main	ADJ
gc-790	215	11	input	input	NOUN
gc-790	215	12	for	for	ADP
gc-790	215	13	numerical	numerical	ADJ
gc-790	215	14	simulation	simulation	NOUN
gc-790	215	15	of	of	ADP
gc-790	215	16	fluid	fluid	ADJ
gc-790	215	17	flow	flow	NOUN
gc-790	215	18	,	,	PUNCT
gc-790	215	19	it	it	PRON
gc-790	215	20	is	be	AUX
gc-790	215	21	important	important	ADJ
gc-790	215	22	that	that	SCONJ
gc-790	215	23	it	it	PRON
gc-790	215	24	fulfils	fulfil	VERB
gc-790	215	25	the	the	DET
gc-790	215	26	requirements	requirement	NOUN
gc-790	215	27	of	of	ADP
gc-790	215	28	dynamic	dynamic	ADJ
gc-790	215	29	modelling	modelling	NOUN
gc-790	215	30	process	process	NOUN
gc-790	215	31	.	.	PUNCT
gc-790	216	1	one	one	NUM
gc-790	216	2	of	of	ADP
gc-790	216	3	these	these	DET
gc-790	216	4	requirements	requirement	NOUN
gc-790	216	5	is	be	AUX
gc-790	216	6	a	a	DET
gc-790	216	7	reasonable	reasonable	ADJ
gc-790	216	8	simulation	simulation	NOUN
gc-790	216	9	time	time	NOUN
gc-790	216	10	.	.	PUNCT
gc-790	217	1	the	the	DET
gc-790	217	2	study	study	NOUN
gc-790	217	3	showed	show	VERB
gc-790	217	4	that	that	SCONJ
gc-790	217	5	selection	selection	NOUN
gc-790	217	6	of	of	ADP
gc-790	217	7	the	the	DET
gc-790	217	8	reservoir	reservoir	NOUN
gc-790	217	9	property	property	NOUN
gc-790	217	10	distribution	distribution	NOUN
gc-790	217	11	methods	method	NOUN
gc-790	217	12	have	have	VERB
gc-790	217	13	a	a	DET
gc-790	217	14	significant	significant	ADJ
gc-790	217	15	influence	influence	NOUN
gc-790	217	16	on	on	ADP
gc-790	217	17	the	the	DET
gc-790	217	18	applicability	applicability	NOUN
gc-790	217	19	of	of	ADP
gc-790	217	20	the	the	DET
gc-790	217	21	geological	geological	ADJ
gc-790	217	22	model	model	NOUN
gc-790	217	23	in	in	ADP
gc-790	217	24	dynamic	dynamic	ADJ
gc-790	217	25	modelling	modelling	NOUN
gc-790	217	26	.	.	PUNCT
gc-790	218	1	references	reference	NOUN
gc-790	218	2	deutsch	deutsch	PROPN
gc-790	218	3	,	,	PUNCT
gc-790	218	4	c.v	c.v	PROPN
gc-790	218	5	.	.	PROPN
gc-790	218	6	&	&	CCONJ
gc-790	218	7	journel	journel	PROPN
gc-790	218	8	,	,	PUNCT
gc-790	218	9	a.g	a.g	PROPN
gc-790	218	10	.	.	PROPN
gc-790	218	11	(	(	PUNCT
gc-790	218	12	1997	1997	NUM
gc-790	218	13	):	):	PUNCT
gc-790	218	14	gslib	gslib	NOUN
gc-790	218	15	:	:	PUNCT
gc-790	218	16	geostatistical	geostatistical	ADJ
gc-790	218	17	software	software	NOUN
gc-790	218	18	library	library	NOUN
gc-790	218	19	and	and	CCONJ
gc-790	218	20	user	user	NOUN
gc-790	218	21	’s	’s	PART
gc-790	218	22	guide	guide	NOUN
gc-790	218	23	.	.	PUNCT
gc-790	218	24	–	–	PUNCT
gc-790	218	25	2nd	2nd	ADJ
gc-790	218	26	edition	edition	NOUN
gc-790	218	27	,	,	PUNCT
gc-790	218	28	oxford	oxford	PROPN
gc-790	218	29	university	university	PROPN
gc-790	218	30	press	press	NOUN
gc-790	218	31	,	,	PUNCT
gc-790	218	32	new	new	PROPN
gc-790	218	33	york	york	PROPN
gc-790	218	34	,	,	PUNCT
gc-790	218	35	369	369	NUM
gc-790	218	36	p.	p.	PROPN
gc-790	218	37	de	de	X
gc-790	218	38	wijs	wijs	PROPN
gc-790	218	39	,	,	PUNCT
gc-790	218	40	h.j	h.j	PROPN
gc-790	218	41	.	.	PROPN
gc-790	218	42	(	(	PUNCT
gc-790	218	43	1951	1951	NUM
gc-790	218	44	):	):	PUNCT
gc-790	218	45	statistics	statistic	NOUN
gc-790	218	46	of	of	ADP
gc-790	218	47	ore	ore	NOUN
gc-790	218	48	distribution	distribution	NOUN
gc-790	218	49	.	.	PUNCT
gc-790	219	1	part	part	NOUN
gc-790	220	1	i	i	PRON
gc-790	220	2	:	:	PUNCT
gc-790	220	3	frequency	frequency	NOUN
gc-790	220	4	distribution	distribution	NOUN
gc-790	220	5	of	of	ADP
gc-790	220	6	assay	assay	ADJ
gc-790	220	7	values	value	NOUN
gc-790	220	8	.	.	PUNCT
gc-790	220	9	–	–	PUNCT
gc-790	220	10	journal	journal	NOUN
gc-790	220	11	of	of	ADP
gc-790	220	12	the	the	DET
gc-790	220	13	royal	royal	PROPN
gc-790	220	14	netherlands	netherlands	PROPN
gc-790	220	15	geological	geological	ADJ
gc-790	220	16	and	and	CCONJ
gc-790	220	17	mining	mining	NOUN
gc-790	220	18	society	society	NOUN
gc-790	220	19	,	,	PUNCT
gc-790	220	20	13	13	NUM
gc-790	220	21	,	,	PUNCT
gc-790	220	22	365–375	365–375	NUM
gc-790	220	23	.	.	PUNCT
gc-790	221	1	dubruble	dubruble	ADJ
gc-790	221	2	,	,	PUNCT
gc-790	221	3	o.	o.	PROPN
gc-790	221	4	(	(	PUNCT
gc-790	221	5	1998	1998	NUM
gc-790	221	6	):	):	PUNCT
gc-790	221	7	geostatistics	geostatistic	NOUN
gc-790	221	8	in	in	ADP
gc-790	221	9	petroleum	petroleum	NOUN
gc-790	221	10	geology	geology	NOUN
gc-790	221	11	.	.	PUNCT
gc-790	222	1	–	–	PUNCT
gc-790	222	2	aapg	aapg	VERB
gc-790	222	3	education	education	NOUN
gc-790	222	4	course	course	NOUN
gc-790	222	5	note	note	NOUN
gc-790	222	6	,	,	PUNCT
gc-790	222	7	series	series	NOUN
gc-790	222	8	#	#	SYM
gc-790	222	9	38	38	NUM
gc-790	222	10	,	,	PUNCT
gc-790	222	11	aapg	aapg	ADJ
gc-790	222	12	and	and	CCONJ
gc-790	222	13	geological	geological	ADJ
gc-790	222	14	society	society	NOUN
gc-790	222	15	publishing	publishing	PROPN
gc-790	222	16	house	house	PROPN
gc-790	222	17	,	,	PUNCT
gc-790	222	18	tulsa	tulsa	PROPN
gc-790	222	19	,	,	PUNCT
gc-790	222	20	210	210	NUM
gc-790	222	21	p.	p.	NOUN
gc-790	222	22	geiger	geiger	PROPN
gc-790	222	23	,	,	PUNCT
gc-790	222	24	j.	j.	PROPN
gc-790	222	25	(	(	PUNCT
gc-790	222	26	2006	2006	NUM
gc-790	222	27	):	):	PUNCT
gc-790	222	28	the	the	DET
gc-790	222	29	behavior	behavior	NOUN
gc-790	222	30	of	of	ADP
gc-790	222	31	sequential	sequential	ADJ
gc-790	222	32	gaussian	gaussian	ADJ
gc-790	222	33	simulation	simulation	NOUN
gc-790	222	34	in	in	ADP
gc-790	222	35	the	the	DET
gc-790	222	36	limits	limit	NOUN
gc-790	222	37	.	.	PUNCT
gc-790	223	1	–	–	PUNCT
gc-790	223	2	xth	xth	PROPN
gc-790	223	3	congress	congress	PROPN
gc-790	223	4	of	of	ADP
gc-790	223	5	hungarian	hungarian	ADJ
gc-790	223	6	geomathematics	geomathematic	NOUN
gc-790	223	7	,	,	PUNCT
gc-790	223	8	may	may	AUX
gc-790	223	9	18–20	18–20	NUM
gc-790	223	10	2006	2006	NUM
gc-790	223	11	,	,	PUNCT
gc-790	223	12	morahalom	morahalom	PROPN
gc-790	223	13	.	.	PUNCT
gc-790	224	1	hohn	hohn	PROPN
gc-790	224	2	,	,	PUNCT
gc-790	224	3	m.e	m.e	PROPN
gc-790	224	4	.	.	PROPN
gc-790	224	5	(	(	PUNCT
gc-790	224	6	1988	1988	NUM
gc-790	224	7	):	):	PUNCT
gc-790	224	8	geostatistics	geostatistic	NOUN
gc-790	224	9	and	and	CCONJ
gc-790	224	10	petroleum	petroleum	NOUN
gc-790	224	11	geology	geology	NOUN
gc-790	224	12	.	.	PUNCT
gc-790	224	13	–	–	PUNCT
gc-790	224	14	van	van	PROPN
gc-790	224	15	nostrand	nostrand	PROPN
gc-790	224	16	reinhold	reinhold	PROPN
gc-790	224	17	,	,	PUNCT
gc-790	224	18	new	new	PROPN
gc-790	224	19	york	york	PROPN
gc-790	224	20	,	,	PUNCT
gc-790	224	21	264	264	NUM
gc-790	224	22	p.	p.	NOUN
gc-790	224	23	isaaks	isaak	NOUN
gc-790	224	24	,	,	PUNCT
gc-790	224	25	e.	e.	PROPN
gc-790	224	26	&	&	CCONJ
gc-790	224	27	srivastava	srivastava	PROPN
gc-790	224	28	,	,	PUNCT
gc-790	224	29	r.	r.	PROPN
gc-790	224	30	(	(	PUNCT
gc-790	224	31	1989	1989	NUM
gc-790	224	32	):	):	PUNCT
gc-790	224	33	an	an	DET
gc-790	224	34	introduction	introduction	NOUN
gc-790	224	35	to	to	ADP
gc-790	224	36	applied	apply	VERB
gc-790	224	37	geostatistics	geostatistic	NOUN
gc-790	224	38	.	.	PUNCT
gc-790	224	39	–	–	PUNCT
gc-790	224	40	oxford	oxford	PROPN
gc-790	224	41	university	university	PROPN
gc-790	224	42	press	press	PROPN
gc-790	224	43	inc	inc	PROPN
gc-790	224	44	.	.	PROPN
gc-790	224	45	,	,	PUNCT
gc-790	224	46	new	new	PROPN
gc-790	224	47	york	york	PROPN
gc-790	224	48	,	,	PUNCT
gc-790	224	49	580	580	NUM
gc-790	224	50	p.	p.	NOUN
gc-790	224	51	figure	figure	NOUN
gc-790	224	52	13	13	NUM
gc-790	224	53	.	.	PUNCT
gc-790	225	1	simulation	simulation	NOUN
gc-790	225	2	time	time	NOUN
gc-790	225	3	(	(	PUNCT
gc-790	225	4	sgs	sgs	PROPN
gc-790	225	5	realizations	realization	NOUN
gc-790	225	6	1	1	NUM
gc-790	225	7	-	-	SYM
gc-790	225	8	5	5	NUM
gc-790	225	9	and	and	CCONJ
gc-790	225	10	kriging	krige	VERB
gc-790	225	11	)	)	PUNCT
gc-790	225	12	(	(	PUNCT
gc-790	225	13	novak	novak	PROPN
gc-790	225	14	zelenika	zelenika	X
gc-790	225	15	et	et	PROPN
gc-790	225	16	al	al	PROPN
gc-790	225	17	.	.	PROPN
gc-790	225	18	,	,	PUNCT
gc-790	225	19	2016	2016	NUM
gc-790	225	20	)	)	PUNCT
gc-790	225	21	.	.	PUNCT
gc-790	226	1	g	g	PROPN
gc-790	226	2	eo	eo	PROPN
gc-790	226	3	lo	lo	PROPN
gc-790	226	4	gi	gi	VERB
gc-790	226	5	a	a	DET
gc-790	226	6	c	c	X
gc-790	226	7	ro	ro	X
gc-790	226	8	at	at	ADP
gc-790	226	9	ic	ic	PROPN
gc-790	226	10	a	a	DET
gc-790	226	11	geologia	geologia	ADJ
gc-790	226	12	croatica	croatica	NOUN
gc-790	226	13	70/2114	70/2114	NUM
gc-790	226	14	krige	krige	ADJ
gc-790	226	15	,	,	PUNCT
gc-790	226	16	d.g	d.g	PROPN
gc-790	226	17	.	.	PUNCT
gc-790	227	1	(	(	PUNCT
gc-790	227	2	1951	1951	NUM
gc-790	227	3	):	):	PUNCT
gc-790	227	4	a	a	DET
gc-790	227	5	statistical	statistical	ADJ
gc-790	227	6	approach	approach	NOUN
gc-790	227	7	to	to	ADP
gc-790	227	8	some	some	DET
gc-790	227	9	basic	basic	ADJ
gc-790	227	10	mine	mine	ADJ
gc-790	227	11	valuation	valuation	NOUN
gc-790	227	12	problems	problem	NOUN
gc-790	227	13	on	on	ADP
gc-790	227	14	the	the	DET
gc-790	227	15	witwatersrand	witwatersrand	NOUN
gc-790	227	16	.	.	PUNCT
gc-790	227	17	–	–	PUNCT
gc-790	227	18	journal	journal	NOUN
gc-790	227	19	of	of	ADP
gc-790	227	20	the	the	DET
gc-790	227	21	chemical	chemical	NOUN
gc-790	227	22	,	,	PUNCT
gc-790	227	23	metallurgical	metallurgical	ADJ
gc-790	227	24	and	and	CCONJ
gc-790	227	25	mining	mining	NOUN
gc-790	227	26	society	society	NOUN
gc-790	227	27	of	of	ADP
gc-790	227	28	south	south	PROPN
gc-790	227	29	africa	africa	PROPN
gc-790	227	30	,	,	PUNCT
gc-790	227	31	52	52	NUM
gc-790	227	32	,	,	PUNCT
gc-790	227	33	119–139	119–139	NUM
gc-790	227	34	.	.	PUNCT
gc-790	228	1	malvić	malvić	NOUN
gc-790	228	2	,	,	PUNCT
gc-790	228	3	t.	t.	PROPN
gc-790	228	4	(	(	PUNCT
gc-790	228	5	2008	2008	NUM
gc-790	228	6	):	):	PUNCT
gc-790	228	7	primjena	primjena	PROPN
gc-790	228	8	geostatistike	geostatistike	NOUN
gc-790	228	9	u	u	PROPN
gc-790	228	10	analizi	analizi	PROPN
gc-790	228	11	geoloških	geoloških	PROPN
gc-790	228	12	podataka	podataka	PROPN
gc-790	228	13	.	.	PUNCT
gc-790	228	14	–	–	PUNCT
gc-790	228	15	ina­industrija	ina­industrija	NOUN
gc-790	228	16	nafte	nafte	NOUN
gc-790	228	17	,	,	PUNCT
gc-790	228	18	zagreb	zagreb	PROPN
gc-790	228	19	,	,	PUNCT
gc-790	228	20	103	103	NUM
gc-790	228	21	p.	p.	NOUN
gc-790	228	22	malvić	malvić	NOUN
gc-790	228	23	,	,	PUNCT
gc-790	228	24	t.	t.	PROPN
gc-790	228	25	&	&	CCONJ
gc-790	228	26	velić	velić	PROPN
gc-790	228	27	,	,	PUNCT
gc-790	228	28	j.	j.	PROPN
gc-790	228	29	(	(	PUNCT
gc-790	228	30	2011	2011	NUM
gc-790	228	31	):	):	PUNCT
gc-790	228	32	neogene	neogene	NOUN
gc-790	228	33	tectonics	tectonic	NOUN
gc-790	228	34	in	in	ADP
gc-790	228	35	croatian	croatian	ADJ
gc-790	228	36	part	part	NOUN
gc-790	228	37	of	of	ADP
gc-790	228	38	the	the	DET
gc-790	228	39	pannonian	pannonian	ADJ
gc-790	228	40	basin	basin	NOUN
gc-790	228	41	and	and	CCONJ
gc-790	228	42	reflectance	reflectance	NOUN
gc-790	228	43	in	in	ADP
gc-790	228	44	hydrocarbon	hydrocarbon	NOUN
gc-790	228	45	accumulations	accumulation	NOUN
gc-790	228	46	.	.	PUNCT
gc-790	228	47	–	–	PUNCT
gc-790	228	48	in	in	ADP
gc-790	228	49	:	:	PUNCT
gc-790	228	50	new	new	ADJ
gc-790	228	51	frontiers	frontier	NOUN
gc-790	228	52	in	in	ADP
gc-790	228	53	tectonic	tectonic	ADJ
gc-790	228	54	research	research	NOUN
gc-790	228	55	:	:	PUNCT
gc-790	228	56	at	at	ADP
gc-790	228	57	the	the	DET
gc-790	228	58	midst	midst	NOUN
gc-790	228	59	of	of	ADP
gc-790	228	60	plate	plate	NOUN
gc-790	228	61	convergence	convergence	NOUN
gc-790	228	62	(	(	PUNCT
gc-790	228	63	ed	ed	NOUN
gc-790	228	64	.	.	PROPN
gc-790	228	65	schattner	schattner	NOUN
gc-790	228	66	,	,	PUNCT
gc-790	228	67	u.	u.	PROPN
gc-790	228	68	)	)	PUNCT
gc-790	228	69	,	,	PUNCT
gc-790	228	70	intech	intech	PROPN
gc-790	228	71	,	,	PUNCT
gc-790	228	72	rijeka	rijeka	PROPN
gc-790	228	73	,	,	PUNCT
gc-790	228	74	215–238	215–238	NUM
gc-790	228	75	.	.	PUNCT
gc-790	229	1	matheron	matheron	PROPN
gc-790	229	2	,	,	PUNCT
gc-790	229	3	g.	g.	PROPN
gc-790	229	4	(	(	PUNCT
gc-790	229	5	1965	1965	NUM
gc-790	229	6	):	):	PUNCT
gc-790	229	7	les	les	PROPN
gc-790	229	8	variables	variable	NOUN
gc-790	229	9	regionalisees	regionalisee	VERB
gc-790	229	10	et	et	PROPN
gc-790	229	11	leur	leur	PROPN
gc-790	229	12	estimation	estimation	PROPN
gc-790	229	13	:	:	PUNCT
gc-790	229	14	une	une	PROPN
gc-790	229	15	application	application	NOUN
gc-790	229	16	de	de	X
gc-790	229	17	la	la	PROPN
gc-790	229	18	theorie	theorie	PROPN
gc-790	229	19	des	des	PROPN
gc-790	229	20	functions	function	NOUN
gc-790	229	21	aleatoires	aleatoire	VERB
gc-790	229	22	aux	aux	PROPN
gc-790	229	23	sciences	sciences	PROPN
gc-790	229	24	de	de	X
gc-790	229	25	la	la	X
gc-790	229	26	mature	mature	PROPN
gc-790	229	27	.	.	PUNCT
gc-790	230	1	–	–	PUNCT
gc-790	230	2	masson	masson	PROPN
gc-790	230	3	,	,	PUNCT
gc-790	230	4	paris	paris	PROPN
gc-790	230	5	,	,	PUNCT
gc-790	230	6	306	306	NUM
gc-790	230	7	p.	p.	NOUN
gc-790	230	8	novak	novak	PROPN
gc-790	230	9	zelenika	zelenika	PROPN
gc-790	230	10	,	,	PUNCT
gc-790	230	11	k.	k.	PROPN
gc-790	230	12	,	,	PUNCT
gc-790	230	13	vidaček	vidaček	PROPN
gc-790	230	14	,	,	PUNCT
gc-790	230	15	r.	r.	PROPN
gc-790	230	16	,	,	PUNCT
gc-790	230	17	ilijaš	ilijaš	NOUN
gc-790	230	18	,	,	PUNCT
gc-790	230	19	t.	t.	PROPN
gc-790	230	20	&	&	CCONJ
gc-790	230	21	pavić	pavić	PROPN
gc-790	230	22	,	,	PUNCT
gc-790	230	23	p.	p.	NOUN
gc-790	230	24	(	(	PUNCT
gc-790	230	25	2016	2016	NUM
gc-790	230	26	):	):	PUNCT
gc-790	230	27	petrophysical	petrophysical	ADJ
gc-790	230	28	modelling	modelling	NOUN
gc-790	230	29	of	of	ADP
gc-790	230	30	the	the	DET
gc-790	230	31	upper	upper	ADJ
gc-790	230	32	pannonian	pannonian	ADJ
gc-790	230	33	reservoirs	reservoir	NOUN
gc-790	230	34	in	in	ADP
gc-790	230	35	sava	sava	PROPN
gc-790	230	36	depression	depression	PROPN
gc-790	230	37	.	.	PUNCT
gc-790	230	38	–	–	PUNCT
gc-790	230	39	in	in	ADP
gc-790	230	40	:	:	PUNCT
gc-790	230	41	cvetković	cvetković	NOUN
gc-790	230	42	,	,	PUNCT
gc-790	230	43	m.	m.	NOUN
gc-790	230	44	,	,	PUNCT
gc-790	230	45	novak	novak	PROPN
gc-790	230	46	zelenika	zelenika	PROPN
gc-790	230	47	,	,	PUNCT
gc-790	230	48	k.	k.	PROPN
gc-790	230	49	,	,	PUNCT
gc-790	230	50	horváth	horváth	PROPN
gc-790	230	51	,	,	PUNCT
gc-790	230	52	j.	j.	PROPN
gc-790	230	53	&	&	CCONJ
gc-790	230	54	hatvani	hatvani	PROPN
gc-790	230	55	,	,	PUNCT
gc-790	230	56	i.g	i.g	PROPN
gc-790	230	57	(	(	PUNCT
gc-790	230	58	eds	ed	NOUN
gc-790	230	59	.	.	PROPN
gc-790	230	60	):	):	PUNCT
gc-790	230	61	geomathematics	geomathematic	NOUN
gc-790	230	62	–	–	PUNCT
gc-790	230	63	present	present	ADJ
gc-790	230	64	and	and	CCONJ
gc-790	230	65	future	future	NOUN
gc-790	230	66	of	of	ADP
gc-790	230	67	geological	geological	ADJ
gc-790	230	68	modelling	modelling	NOUN
gc-790	230	69	,	,	PUNCT
gc-790	230	70	8th	8th	ADJ
gc-790	230	71	hr­hu	hr­hu	NOUN
gc-790	230	72	and	and	CCONJ
gc-790	230	73	19th	19th	ADJ
gc-790	230	74	hu	hu	PROPN
gc-790	230	75	geomathematical	geomathematical	PROPN
gc-790	230	76	congress	congress	PROPN
gc-790	230	77	,	,	PUNCT
gc-790	230	78	croatian	croatian	ADJ
gc-790	230	79	geological	geological	ADJ
gc-790	230	80	society	society	NOUN
gc-790	230	81	,	,	PUNCT
gc-790	230	82	zagreb	zagreb	PROPN
gc-790	230	83	,	,	PUNCT
gc-790	230	84	105–112	105–112	NUM
gc-790	230	85	.	.	PUNCT
gc-790	231	1	rögl	rögl	PROPN
gc-790	231	2	,	,	PUNCT
gc-790	231	3	f.	f.	PROPN
gc-790	231	4	(	(	PUNCT
gc-790	231	5	1996	1996	NUM
gc-790	231	6	):	):	PUNCT
gc-790	231	7	stratigraphic	stratigraphic	ADJ
gc-790	231	8	correlation	correlation	NOUN
gc-790	231	9	of	of	ADP
gc-790	231	10	the	the	DET
gc-790	231	11	paratethys	paratethy	NOUN
gc-790	231	12	oligocene	oligocene	VERB
gc-790	231	13	and	and	CCONJ
gc-790	231	14	miocene	miocene	NOUN
gc-790	231	15	.	.	PUNCT
gc-790	232	1	mitteilungen	mitteilungen	PROPN
gc-790	232	2	ges	ges	PROPN
gc-790	232	3	.	.	PROPN
gc-790	232	4	geol	geol	PROPN
gc-790	232	5	.	.	PUNCT
gc-790	233	1	bergbaustudenten	bergbaustudenten	PROPN
gc-790	233	2	österreich	österreich	PROPN
gc-790	233	3	,	,	PUNCT
gc-790	233	4	41	41	NUM
gc-790	233	5	,	,	PUNCT
gc-790	233	6	65–73	65–73	NUM
gc-790	233	7	.	.	PUNCT
gc-790	234	1	rögl	rögl	PROPN
gc-790	234	2	,	,	PUNCT
gc-790	234	3	f.	f.	PROPN
gc-790	234	4	(	(	PUNCT
gc-790	234	5	1998	1998	NUM
gc-790	234	6	):	):	PUNCT
gc-790	234	7	palaeographic	palaeographic	ADJ
gc-790	234	8	consideration	consideration	NOUN
gc-790	234	9	for	for	ADP
gc-790	234	10	mediterranean	mediterranean	PROPN
gc-790	234	11	and	and	CCONJ
gc-790	234	12	paratethys	paratethy	NOUN
gc-790	234	13	seaways	seaways	PROPN
gc-790	234	14	(	(	PUNCT
gc-790	234	15	oligocene	oligocene	NOUN
gc-790	234	16	to	to	ADP
gc-790	234	17	miocene	miocene	NOUN
gc-790	234	18	)	)	PUNCT
gc-790	234	19	.	.	PUNCT
gc-790	234	20	–	–	PUNCT
gc-790	234	21	ann	ann	PROPN
gc-790	234	22	.	.	PUNCT
gc-790	234	23	naturhist	naturhist	PROPN
gc-790	234	24	.	.	PUNCT
gc-790	235	1	mus	mus	PROPN
gc-790	235	2	.	.	PROPN
gc-790	235	3	wien	wien	PROPN
gc-790	235	4	,	,	PUNCT
gc-790	235	5	99a	99a	NOUN
gc-790	235	6	,	,	PUNCT
gc-790	235	7	279–310	279–310	NUM
gc-790	235	8	.	.	PUNCT
gc-790	236	1	velić	velić	PROPN
gc-790	236	2	,	,	PUNCT
gc-790	236	3	j.	j.	PROPN
gc-790	236	4	(	(	PUNCT
gc-790	236	5	2007	2007	NUM
gc-790	236	6	):	):	PUNCT
gc-790	236	7	geologija	geologija	NOUN
gc-790	236	8	ležišta	ležišta	VERB
gc-790	236	9	nafte	nafte	PROPN
gc-790	236	10	i	i	PROPN
gc-790	236	11	plina	plina	PROPN
gc-790	236	12	.	.	PUNCT
gc-790	236	13	–	–	PUNCT
gc-790	236	14	faculty	faculty	NOUN
gc-790	236	15	of	of	ADP
gc-790	236	16	mining	mining	NOUN
gc-790	236	17	,	,	PUNCT
gc-790	236	18	geology	geology	NOUN
gc-790	236	19	and	and	CCONJ
gc-790	236	20	petroleum	petroleum	NOUN
gc-790	236	21	engineering	engineering	NOUN
gc-790	236	22	,	,	PUNCT
gc-790	236	23	university	university	PROPN
gc-790	236	24	of	of	ADP
gc-790	236	25	zagreb	zagreb	PROPN
gc-790	236	26	,	,	PUNCT
gc-790	236	27	zagreb	zagreb	PROPN
gc-790	236	28	,	,	PUNCT
gc-790	236	29	342	342	NUM
gc-790	236	30	p.	p.	NOUN
gc-790	236	31	vrbanac	vrbanac	NOUN
gc-790	236	32	,	,	PUNCT
gc-790	236	33	b.	b.	PROPN
gc-790	236	34	(	(	PUNCT
gc-790	236	35	1996	1996	NUM
gc-790	236	36	):	):	PUNCT
gc-790	236	37	paleostrukturne	paleostrukturne	NOUN
gc-790	236	38	i	i	PRON
gc-790	236	39	sedimentološke	sedimentološke	NOUN
gc-790	236	40	analize	analize	PROPN
gc-790	236	41	gornjopanonskih	gornjopanonskih	PROPN
gc-790	236	42	naslaga	naslaga	PROPN
gc-790	236	43	formacije	formacije	VERB
gc-790	236	44	ivanić	ivanić	ADJ
gc-790	236	45	grad	grad	PROPN
gc-790	236	46	u	u	PROPN
gc-790	236	47	savskoj	savskoj	NOUN
gc-790	236	48	depresiji	depresiji	NOUN
gc-790	237	1	[	[	X
gc-790	237	2	palaeostructural	palaeostructural	ADJ
gc-790	237	3	and	and	CCONJ
gc-790	237	4	sedimentological	sedimentological	ADJ
gc-790	237	5	analyses	analysis	NOUN
gc-790	237	6	of	of	ADP
gc-790	237	7	late	late	ADJ
gc-790	237	8	pannonian	pannonian	ADJ
gc-790	237	9	sediments	sediment	NOUN
gc-790	237	10	of	of	ADP
gc-790	237	11	ivanić	ivanić	ADJ
gc-790	237	12	grad	grad	ADJ
gc-790	237	13	formation	formation	NOUN
gc-790	237	14	in	in	ADP
gc-790	237	15	the	the	DET
gc-790	237	16	sava	sava	PROPN
gc-790	237	17	depression	depression	NOUN
gc-790	237	18	–	–	PUNCT
gc-790	237	19	in	in	ADP
gc-790	237	20	croatian	croatian	PROPN
gc-790	237	21	]	]	PUNCT
gc-790	237	22	.	.	PUNCT
gc-790	237	23	–	–	PUNCT
gc-790	237	24	unpub	unpub	ADJ
gc-790	237	25	.	.	PUNCT
gc-790	238	1	phd	phd	NOUN
gc-790	238	2	thesis	thesis	NOUN
gc-790	238	3	,	,	PUNCT
gc-790	238	4	faculty	faculty	NOUN
gc-790	238	5	of	of	ADP
gc-790	238	6	natural	natural	ADJ
gc-790	238	7	sciences	science	NOUN
gc-790	238	8	,	,	PUNCT
gc-790	238	9	university	university	NOUN
gc-790	238	10	of	of	ADP
gc-790	238	11	zagreb	zagreb	PROPN
gc-790	238	12	,	,	PUNCT
gc-790	238	13	121	121	NUM
gc-790	238	14	p.	p.	NOUN