A MARKOV CHAIN MODEL FOR SUBSURFACE CHARACTERIZATION: THEORY AND APPLICATIONS

dc.contributor.author	Elfeki A.
dc.contributor.author	Dekking M.
dc.date.accessioned	2021-03-14T04:33:24Z
dc.date.available	2021-03-14T04:33:24Z
dc.date.issued	2001
dc.identifier	https://www.elibrary.ru/item.asp?id=795858
dc.identifier.citation	Mathematical Geology, 2001, 33, 5, 569-589
dc.identifier.issn	0882-8121
dc.identifier.uri	https://repository.geologyscience.ru/handle/123456789/26685
dc.description.abstract	This paper proposes an extension of a single coupled Markov chain model to characterize heterogeneity of geological formations, and to make conditioning on any number of well data possible. The methodology is based on the concept of conditioning a Markov chain on the future states. Because the conditioning is performed in an explicit way, the methodology is efficient in terms of computer time and storage. Applications to synthetic and field data show good results.
dc.subject	MARKOV CHAINS
dc.subject	GEOSTATISTICS
dc.subject	GEOLOGICAL HETEROGENEITY
dc.subject	RESERVOIR CHARACTERIZATION
dc.subject	CONDITIONING
dc.title	A MARKOV CHAIN MODEL FOR SUBSURFACE CHARACTERIZATION: THEORY AND APPLICATIONS
dc.type	Статья

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