Logging lithofacies classification method fusing rock physical model and Bayesian inversion

The invention provides a logging lithofacies classification method fusing a rock physical model and Bayesian inversion, and the method comprises the steps: 1, carrying out the detailed analysis of local geology and physical property rock features, and carrying out the lithologic recognition and classification; 2, performing lithofacies rock physical analysis to obtain a training database with statistical representativeness; step 3, Markov chain Monte Carlo random inversion based on Bayesian inversion is carried out; and 4, synthesizing logging lithofacies data and actual lithofacies data. According to the logging lithofacies classification method fusing the rock physical model and the Bayesian inversion, the problem that high-dimensional integrals are difficult to solve traditionally is solved, the high-dimensional integrals are calculated and solved through simulation, the solving difficulty is reduced, and the practicability of the method is improved. 本发明提供一种融合岩石物理模型和贝叶斯反演的测井岩相分类方法，该融合岩石物理模型和贝叶斯反演的测井岩相分类方法包