摘要
岩石物理理论模型是地震岩石物理研究的基础,通过对叠前反演中横波速度的应用,提出了横波速度曲线优化的估算方法,通过对PNN视神经网络算法以及非线性多属性参数的分析,解决了横波预测中误差较大的影响,研究结果为后续的叠前反演打下了很好的基础。
Theoretical model of rock physics is a foundation in study of seismic rock physics. Based on application of transverse wave velocity in prestack inversion, transverse wave velocity curve optimization estimation method is presented, and based on the PNN neural network algorithm and nonlinear multi attribute parameter analysis, the bigger influence of transverse wave prediction error is solved. The results provide very good foundation for the following prestack inversion.
出处
《价值工程》
2012年第28期49-50,共2页
Value Engineering
关键词
横波预测
属性参数
非线性回归
transverse wave prediction
property parameters
nonlinear regression
