PREDICTION OF POROSITY BASED ON BP ARTIFICIAL NEURAL NETWORK WITH WELL LOGGING DATA
基于测井资料的BP神经网络模型在孔隙度定量预测中的应用

Analyzing the shortcoming of porosity prediction, and considering the relationships between reservoir porosity and well logging data, the BP network model of prediction of reservoir porosity was established by means of BP network method of ANN theory. The error analysis and practical use show that the BP network method to predicting reservoir porosity is a feasible method.