小波包变换叠前地震资料去噪方法研究  

A RESEARCH ON THE NOISE-ELIMINATION METHOD OF PRE-STACK SEISMIC DATA BY WAVELET PACKET TRANSFORM

作　　者：李晶[1] 王振国[1] 陈裕明[1] 唐湘蓉[1] 

机构地区：[1]成都理工大学信息工程学院,成都610059

出　　处：《成都理工大学学报（自然科学版）》2003年第5期541-546,共6页Journal of Chengdu University of Technology: Science & Technology Edition

摘　　要：给出了一种不同常规的消除面波和高频随机干扰波的小波包变换方法。小波包变换是一种新的时频分析方法,优于小波变换和传统的Fourier变换,它能够对地震资料进行时频精细划分,准确描述具有相同频率的有效波与干扰波在时间-空间域的分布。利用小波包变换可以从叠前资料分离出面波、随机干扰等,再通过小波包重构,可有效地剔除干扰信息,保留有效信号。实际资料实验表明,小波包变换在去噪方面十分有效。This paper introduces wavelet packet transform. It can eliminates surfacewave and random noise of high frequency. Wavelet packet is a new timefrequency analysis method and better than wavelet transform and Fourier transform. It can divides the seismic data in more detail than wavelet transform better describe the distribution of effective wave and noise wave in the timespace field with same frequency compared with Fourier transform. By decomposing seismic data before stacking with wavelet packet, surfacewave and random noise of high frequency can be separated from seismic data. After reconstructing wavelet packet, noisewave and the least damage of effective wave can be eliminated. Through validating real data, wavelet packet is good for removing noise.

关 键 词：小波包 时频分析 小波函数 正交分解 地震信号模型 

分 类 号：P631.443[天文地球—地质矿产勘探]