神经网络方法在煤层气测井资料解释中的应用

INTERPRETATION OF WELL LOGGING DATA FOR COALBED METHANE USING BP NEURAL NETWORK

根据煤层气储层及其测井响应特征，提出应用ＢＰ神经网络（简称ＢＰ网络） 方法进行煤层气测井资料的定量解释。通过对华北某地煤层气测井资料的处理，获得了满意的解释结果，证明该方法是有效和实用的。

Based on the signatures of coalbed methane reservoir and its well logging data,this paper proposes to use BP neural network on the interpretation of well logging dataof coalbed methane reservoir.According to the computation for the well logging datafor coalbed methane reservoir in some area of North China , the computing results show BP neural network method is reliable and effective, and some applied problems are discussed.