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《Progress In Geophysics》 2003-04
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Stochastic reservoir lithofacies simulation based on Markov Chain model

LIU Zhen-feng, HAO Tian-yao, YANG Chang-chun(Institute of Geology & Geophysics, Chinese Academy of Sciences, Beijing 100101, China)  
Methods based on Markov Chain model are newly appeared techniques popular with researchers at work on stochastic reservoir modeling. However, these methods are underdeveloped on the other hand. One of the bottlenecks is how to get transition probability matrixes on lateral directions. In order to overcome the obstacle, a fresh method combining Markov Chain model with simulated annealing algorithm is put forward here. After obtaining initial image, a series of disturbing are carried out until target image appears. The validity of the method is testified through a 2-D experiment.
【Fund】: 中国科学院知识创新重大项目KZCX1 SW 18 01;; 国家自然科学基金(40074021)资助.
【CateGory Index】: O211.67
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