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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。
By extracting the non-linear characteristic parameters such as the correlation dimension, the maximum Lyapunov exponent and the number of abrupt changes in the seismic trace next to the well, artificial neural network is used to establish the nonlinear mapping with the acoustic logging to realize the reconstruction of the acoustic logging curve below the bottom of the well Push. The actual data in the NH area are used to simulate the forecast and verify the result is good.