基于地震属性利用BP神经网络模型的地震相识别研究

The Seismic Phase Indent if Ication by BP Neural Network Model Base on Seismic Attributes

随着地震相分析的技术手段越来越多样化,地震的多属性解释是地震勘探的重要发展方向。选择适当的地震参数,能更有效识别地震相,本文基于提取出的几个地震属性,设计了一个BP神经网络以及简要地介绍了实行步骤,最终实现了对地震相的识别。

With the development of seismic exploration technique, seismic phase analysis technology means be-come more and more diversified, multi-attribute interpretation of the seismic is an important development direc-tion of the seismic exploration. selecting the appropriate earthquake parameters can be more effective to identify seismic phase. Base one the seismic attributes, the main content of this study is to design a BP neural network and describes the implementation of steps briefly and finally identify the seismic phase.