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小波变换模特征点在地震资料边界检测中的应用
引用本文:宋维琪,刘江华,等.小波变换模特征点在地震资料边界检测中的应用[J].石油地球物理勘探,2002,37(4):318-321.
作者姓名:宋维琪  刘江华
作者单位:东营石油大学 东营 (宋维琪,刘江华),东营石油大学 东营(王小马)
摘    要:本文通过研究地震信号小波变换模特征点的变化规律和特征,揭示了地震奇异点和其小波变换模极值的关系。通过研究这些关系,对小波各级分解的模特征点进行变频域处理,这样使求解李氏指数的非线性最小二乘解较稳定可靠。无论从理论模型的论证还是实际资料的处理都取得了较好的效果。

关 键 词:小波变换  模特征点  地震资料  边界检测  应用  李氏指数

Application of modular characteristic points of wavelet transform to detecting margin of seismic data.
Song Weiqi,Liu Jianghua and Wang Xiaoma.Application of modular characteristic points of wavelet transform to detecting margin of seismic data.[J].Oil Geophysical Prospecting,2002,37(4):318-321.
Authors:Song Weiqi  Liu Jianghua and Wang Xiaoma
Affiliation:Song Weiqi,Liu Jianghua and Wang Xiaoma.Institute of Earth Resoures and Information,China University of Petroleum,Dongying City,Shandong Province,257081,China
Abstract:By studying changing rule and character of modular characteristic points of wavelet transform of seismic signal,the paper revealed the relations between seismic singularity and extreme of module of wavelet transform. The modular characteristic points of all level of wavelet decomposition have been processed by the studying results of these relations,obtaining a stable and reliable non linear least square solution of Lipschitz index.Good results are obtained either from the examination of synthetic model or from the processing of real field data.
Keywords:wavelet transform  modular characteristic point  Lipschitz index  seismic data  
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