利用地震非线性参数重建声波测井曲线

Reconstructing sonic log curve using seismic nonlinear para meters

成都理工学院信息工程与地球物理系,成都610059

Department of Information Engineering and Geophysics, Chengdu Inst itute of Technology, Chengdu 610059

通过提取井旁地震道的关联维数、最大Lyapunov指数及突变次数等非线性特征参数,利用人工神经网络建立与声波测井的非线性映射,从而实现井底以下声波测井曲线的重建和外推。经NH地区的实际资料模拟预测验证,效果良好。

The reconstruction and extrapolation of sonic log curve below the bottom of borehole were realized. These were realized by extracting the correlative d imen sion, the maximal Lyapunov index and catastropic parameter of seismic traces in the vicinity of borehole, and constructing the nonlinear mapping between these n onlinear characteristic paramters and sonic log by using artificial neural netwo rk. Their good effects were proved through the real data modeling and prediction in the NH area.