Research on the Application of BP Neural Network in Wells log Interpretation

Based on the well log data in Tazhong area,the paper used BP neural network method to predict porosities of these wells,and preliminarily divided favorable reservoir distribution.In practical applications,according to the type of well logging curves,we adopted three kinds of model to make porosity prediction experiments.Through the test and analysis,the second model is ultimately chosen to explain porosity in wells.We made plane distribution maps of porosity in different layers,and the porosity analysis shows that,Lianglitage formation and Yinshang formation develop widely in Tazhong area,but as a whole,they are carbonate rocks with low porosity and low permeability,locally is reservoirs with better porosity developed.It is consistent with the rock core analysis result,and demonstrates the effectiveness of the method.