Facies controlled stochastic modeling based on Markov chain models
基于Markov链模型的相控随机建模

The effect of Markov chain models in reservoir modeling is much concerned recently, but models are usually applied to simulating categorical attributes, such as lithofacies, sedimentary facies and subfacies, and very few to continuous attributes, such as porosity, permeability and oil saturation. This study propose the idea about using facies controlled method in Markov chain models , that is ,using Markov chain models to get lithofacies and then simulate the continuous attributes under the constrict of lithofacies, which can deal with the problem of no definite boundary in simulation results of continuous attributes. The simulation tests show that distribution of porosity has an apparent variance in different lithofacies but slight change in each lithofacies,which verify this method is reliable and effective.