Coal reservoir in Shanxi is influenced by sedimentary environment, diagenesis and structure. The reservoir is characterized by heterogeneity and nonlinearity distribution. An intelligence evaluation model, based on modified particle swarm optimization (MPSO) algorithm with Elman neural network (ENN), is constructed. The model is corresponding to reservoir physical property by the use of logging, core and test data, and it is employed to classify rock types of coal reservoir. The case results indicate that this model is feasible and effective in the rock classification, so it provides an effect...
