NDLI: Optimization of the Markov chain for lithofacies modeling: an Iranian oil field

Content Provider	Springer Nature Link
Author	Nikoogoftar, Hanie Mehrgini, Behzad Bahroudi, Abbas Tokhmechi, Behzad
Copyright Year	2013
Abstract	Reconnaissance and interpretation of underground heterogeneity, particularly lithofacies, always plays an important role in evaluation and management of hydrocarbon resources. Between various methods presented for modeling discrete characteristics of hydrocarbon reservoirs such as lithofacies, one with a more proper conformity with actual condition of reservoir facies is of great advantage. Formed on the basis of probability and presenting transition matrix, the Markov method is widely applied as a powerful tool for modeling the facies. In the present study, first, the method is introduced in details; then, in order to optimize it for conditions with insufficient well data, two suggestions are made based on changing the motion direction of the chain and increasing the conditional boundary in simulation procedure. The case study is a 12-km-long 110-m-thick section of anhydrite and three major members of the Asmari Formation from an oil field in southwest Iran. This section is modeled through Markov classical procedure, changing chain motion direction and finally adding one seismic horizon as another conditional boundary. The models set indicated that on the basis of using the data from three wells and seven seismic horizons, the best result with 86 % accuracy is for the state of using two conditional boundaries.
Starting Page	799
Ending Page	808
Page Count	10
File Format	PDF
ISSN	18667511
Journal	Arabian Journal of Geosciences
Volume Number	8
Issue Number	2
e-ISSN	18667538
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-11-08
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Markov chain Lithofacies Transition matrix Hydrocarbon reservoirs Conditional simulation Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Environmental Science

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