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Geoscience ›› 2006, Vol. 20 ›› Issue (4): 621-627.

• Engineering Geology and Environmental Geology • Previous Articles     Next Articles

Stochastic Simulation of Reservoir Lithofacies Based on Markov Chain Models with Different Neighborhood Systems

LI Jun1, HAO Tian-yao1, LIU Jian2, ZHOU Cui-ying3, XU Ya1, ZHAO Bai-min1   

  1. 1Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing100029, China;
    2Institute of Geology,Binnan Oil Production Factory of Shengli Oilfield, Binzhou, Shandong256606, China;
    3College of Resources and Safety Engineering, China University of Mining & Technology, Beijing100083, China
  • Received:2006-03-24 Revised:2006-08-10 Online:2006-04-20 Published:2006-04-20

Abstract:

For the difficulty of getting transition probability matrixes in various directions in Markov chain models, the paper presents a method to figure out it, which makes getting transition probability matrixes of different neighborhood systems of Markov chain models easier and more feasible.Furthermore,Monte Carlo sampling method is used to simulate reservoir lithofacies, based on different neighborhood systems of Markov chain models.In the end, the different simulated results are compared and the characteristics and applications of different neighborhood systems in the study of reservoir are discussed.

Key words: Markov chain, neighborhood system, transition probability matrix, stochastic simulation of lithofacies

CLC Number: