节点文献
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.
【摘要】 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。
【Abstract】 The reconstruction and extrapolation of sonic log cu rve below the botto m 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.
【关键词】 井旁地震道;
非线性参数;
声波测井;
映射建模;
外推;
【Key words】 seismic traces in the vicinity of borehole; nonlinear parameter; sonic logging; mapping model; extrapolation;
【Key words】 seismic traces in the vicinity of borehole; nonlinear parameter; sonic logging; mapping model; extrapolation;
【基金】 国家海洋领域“86 3”项目;中国海洋石油南海西部公司资助!项目编号 :82 0 - 0 7- 0 2 - 0 5
- 【文献出处】 石油物探 ,GEOPHYSICAL PROSPECTING FOR PETROLE , 编辑部邮箱 ,2000年02期
- 【分类号】P618.130.8
- 【被引频次】12
- 【下载频次】99