BP-神经网络识别地层岩性-以银额盆地为例

Recognition of Stratigraphic Lithology by BP-Neural Network-A Case Study of Yiner Basin

本文介绍了目前岩性识别方法中较先进的BP神经网络法,提出运用BP神经网络的优化方案,从而使岩性识别的迭代运算更精确。最后对在银额盆地进行的实践应用进行了讨论,结果表明BP神经网络识别率优于交会图法。

This paper introduces the advanced BP neural network method in lithology identification,and puts forward the optimization scheme of using BP neural network.Thus,the iteration operation of lithology identification is more accurate.Finally,the practical application in yine basin is discussed.The results show that the recognition rate of BP neural network is better than that of intersection graph.