基于独立分量分析的地震资料去噪技术

英文篇名：Seismic Data Noise-suppression Technique Based on Independent Component Analysis
中文刊名：计算机仿真
英文刊名：Computer Simulation
作者：王春田 ; 魏巍 ; 刘彦辉
英文作者：WANG Chun-tian~(1 ; 2) ; WEI Wei~3 ; LIU Yan-hui~4 (1.China University of Geosciences(Beijing) School of Geophysics and Information Technology ; Beijing 100083 ; China ; 2.Geophysical Corporation of Shengli Oil Field ; Dongying Shandong 257086 ; China ; 3.Geophysical Research Institute of Shengli Oil Field ; Dongying Shandong 257022 ; China ; 4.Downhole Operation Corporation of Shengli Oil Field ; Dongying Shandong 257000 ; China)
中文关键词：有效信号 ; 多次波干扰 ; 匹配滤波 ; 独立分量分析
英文关键词：Available signal ; Multiple ; Adaptive subtraction technique ; Independent component analysis(ICA)
出版日期：2010-07-15
机构：中国地质大学(北京)地球物理与信息技术学院;胜利油田物探公司;胜利油田物探研究院;胜利油田井下作业公司;
年：2010
期：07
出版单位：计算机仿真

摘要

在地震勘探资料处理中,针对消除多次波干扰问题,为消除多次波,需要将含多次波地震数据与预测多次波进行自适应相减,自适应相减技术大多基于输出信号(有效信号)能量最小准则,在有效信号与多次波存在交叉或重叠时应用效果较差。针对上述问题,重点研究独立分量分析技术,通过估计多次波与有效信号的混合矩阵来实现二者的分离,达到消除多次波的目的。仿真试验结果表明,独立分量分析方法有效避免了常规技术的不足,在有效信号与多次波发生交叉或重叠时,依然能够有效消除多次波,同时较好保护有效信号,为地震勘测提供了令人满意的结果。
In seismic data processing,to eliminate the multiple in seismic data,an adaptive subtraction technique is often used to subtract the predicted multiple from the seismic data.However when the multiple and the available signal are crossed or overlapped,the adaptive subtraction technique based on minimizing the power of the output signal (available signal) cannot get accurate outcome.Aiming at this problem,this study investigates the Independent Component Analysis method.The method can separate multiple and the available signal by estimating their mixture matrix.The results of simulation and actual seismic data processing show this method can efficiently suppress the multiple and protect the available signal compared with the conventional technique,when the multiple and the available signal are crossed or overlapped.

引文

[1]黄新武.基于数据一致性预测与压制自由表面多次波—理论研究与试处理[J].地球物理学报,2005,48(1):173-180.
    [2]牛滨华,等.波动方程压制多次波的技术方法[J].地学前缘, 2002,9(2):511-517.
    [3]D J Verschuur,A J Berkhout.Estimation of multiple scattering by iterative inversion,PartⅡ:Practical aspects and examples[J]. Geophysics,1997,62(5):1596-1611.
    [4]D J Monk.Wave-Equation multiple suppression using constrained gross equalization[J].Geoghysics Prospecting,1993,41(6):725 -736.
    [5]Y Wang.Multiple subtraction using an expanded multichannel matching filter[J].C eophsics,2003,68:346-354.
    [6]C A Joyce,I F Gorodnitsky,M Kutas.Automatic removal of eye-movement and blink artifacts from EEG data using blind component separation[J].Psychophysiology,2004,41(2):313-325.
    [7]王晓伟,林锁.基于独立分量分析的混合声音信号分离[J].网络与信息技术,2007,26(6):48-50.
    [8]Lu Wenkai.Adaptive multiple subtraction using independent component analysis[J].Geophysics,2006,71(5):179-184.
    [9]杨福生,洪波.独立分量分析的原理与应用[M].北京:清华大学出版社,2006.
    [10]S S Chen,D L Donoho,M A Saunders.Atomic decomposition by basis pursuit[J].Scientific Computing,1998,20(1):31-61.
    [11]黄选红,韩继业.数学规划[M].北京:清华大学出版,2006.