ICA在地震数据叠前噪声消减中的应用
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摘要
为了消除地震勘探数据中的噪声,引入独立分量分析(ICA)方法到地震资料处理中提高资料的信噪比。文中阐述了ICA的基本原理,并根据地震记录中的有效信号和干扰信号的特点,提出了地震数据叠前噪声消减的S-ICA理论模型。经在受干扰小的地震仪器测试数据上人工叠加规则干扰噪声、随机噪声,以及攀枝花某矿区实测浅层地震数据的S-ICA分离仿真验证表明,该模型既能有效地除去干扰噪声,又能完整地保留有效信号,具有一定的实用价值。
This paper introduces the independent component analysis(ICA) in seismic data processing to enhance seismic data SNR.The theoretical model of ICA to realize the reduction of the seismic data pre-stack noise is established.It firstly extracts the seismic data through designing softwares,and then,uses the S-ICA method to eliminate the noise.After emulating the data of the artificial stack regular interference noise and the actual measurement seismic data,the result shows that the S-ICA has some extent feasibility in practice.
This paper introduces the independent component analysis(ICA) in seismic data processing to enhance seismic data SNR.The theoretical model of ICA to realize the reduction of the seismic data pre-stack noise is established.It firstly extracts the seismic data through designing softwares,and then,uses the S-ICA method to eliminate the noise.After emulating the data of the artificial stack regular interference noise and the actual measurement seismic data,the result shows that the S-ICA has some extent feasibility in practice.
引文
[1]张赓,庹先国,葛宝,等.地震映像法在古河道探测中的应用[J].成都理工大学学报:自然科学版,2011,38(1):38-41.Zhang G,Tuo X G,Ge B,et al.Application of seis-mic imaging method to exploration of old channels[J].Journal of Chengdu University of Technology(Science&Technology Edition),2011,38(1):38-41.(In Chinese)
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[14]高颖.盲源分离理论及其在地球物理勘探中的应用[D].长春:吉林大学档案馆,2008.Gao Y.Blind Source Separation Theory and Its Application in Geophysical Exploration[D].Changchun:The Archive of Jilin University,2008.(In Chinese)
[15]刘杰.基于独立分量分析的地震盲反褶积方法及应用研究[D].北京:中国石油大学档案馆,2008.Liu J.Study on Independent Component Analysis:Based Seismic Blind Deconvolution Method and Its Application[D].Beijing:The Archive of China University of Petroleum,2008.(In Chinese)
[16]杨剑波.独立分量分析及其在地震数据叠前噪声消减中的应用研究[D].成都:成都理工大学档案馆,2008.Yang J B.Independent Component Analysis and Its Application Study in Prestack De-noise of Seismic Data[D].Chengdu:The Archive of Chengdu University of Technology,2008.(In Chinese)
[17]刘诚.基于独立分量分析的地震信号多次波盲分离方法研究[D].成都:成都理工大学档案馆,2008.Liu C.The Method of Multiple Attenuation Based on Independent Component Analysis[D].Chengdu:The Archive of Chengdu University of Technology,2008.(In Chinese)
[18]杨威.基于独立分量分析的地震信号随机噪声盲分离方法应用研究[D].成都:成都理工大学档案馆,2009.Yang W.The Method of Seismic Random NoiseBlind Separation Base on ICA[D].Chengdu:The Archive of Chengdu University of Technology,2009.(In Chinese)
[19]邓添予.基于固定点算法的地震信号随机噪声盲分离方法应用研究[D].成都:成都理工大学档案馆,2010.Deng T Y.The Method of Seismic Random Noise Blind Separation Based on Improved FastICA[D].Chengdu:The Archive of Chengdu University ofTechnology,2010.(In Chinese)
[20]郭科,陈聆,陈辉,等.基于JADE算法的地震资料随机噪声盲分离方法研究[J].地学前缘,2011,18(3):302-309.Guo K,Chen L,Chen H,et al.The method of seismic random noise blind separation based on JADE[J].Earth Science Frontiers,2011,18(3):302-309.(In Chinese)
[2]胡俊锋,穆克亮.某矿山排土场物探方法的应用初探[J].成都理工大学学报:自然科学版,2008,35(3):268-273.Hu J F,Mu K L.A preliminary discussion on the application of geophysical methods to dump in a mine[J].Journal of Chengdu University of Technology(Science&Technology Edition),2008,35(3):268-273.(In Chinese)
[3]林红波.时频峰值滤波随机噪声消减技术及其在地震勘探中的应用[D].长春:吉林大学档案馆,2007.Lin H B.Time-frequency Peak Filtering De-noise Technique and Its Application in Seismic Exploration[D].Changchun:The Archive of Jilin University,2007.(In Chinese)
[4]李诗宽.基于自适应时频峰值滤波的地震信号去噪研究[D].长春:吉林大学档案馆,2009.Li S K.Adaptive Time-Frequency Peak Filtering and Its Application on Noise Attenuation for Seismic Data[D].Changchun:The Archive of Jilin University,2009.(In Chinese)
[5]陈旭.分数傅里叶变换在地震资料处理中的应用初探[D].长春:吉林大学档案馆,2009.Chen X.Fractional Fourier Transform in Seismic Data Processing Applications[D].Changchun:The Archive of Jilin University,2009.(In Chinese)
[6]白涛利.基于独立分量分析的地震多次波压制的研究[D].长春:吉林大学档案馆,2008.Bai T L.Independent Component Analysis and Its Application on Multiple Attenuation[D].Changchun:The Archive of Jilin University,2008.(In Chinese)
[7]雷宛,肖宏跃,邓一谦.工程与环境物探[M].北京:地质出版社,2006.Lei W,Xiao H Y,Deng Y Q.Engineering and Environmental Geophysical Exploration[M].Beijing:Geological Publishing House,2006.(In Chinese)
[8]王喜双,张颖.地震叠前时间偏移处理技术[J].石油勘探与开发,2006,33(4):416-419.Wang X S,Zhang Y.Seismic pre-stack time migration techniques[J].Petroleum Exploration and Development,2006,33(4):416-419.(In Chinese)
[9]陈华富,尧德中.独立成份分析及其应用的研究进展[J].生物医学工程学杂志,2003,20(2):366-370.Chen H F,Yao D Z.Advances in independent component analysis and its application[J].Journal of Biomedical Engineering,2003,20(2):366-370.(In Chinese)
[10]Chen H F,Yao D Z.Independent component analysis informax fast algorithm[J].Signal Process,2001,17(4):363.
[11]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.Yang F S,Hong B.Independent Component Analysis Principle and Application[M].Beijing:The Press of Tsinghua University,2006.(In Chinese)
[12]Lee T W,Girolami M,Bell A J,et al.A unifying information theoretic framework for independent component analysis[J].Computer and Mathematic with Application,2000,39:1.
[13]高颖.独立分量分析及其在地学多次波压制中的应用[D].长春:吉林大学档案馆,2005.Gao Y.Independent Component Analysis and It’s Application on Multiple Attenuation[D].Changchun:The Archive of Jilin University,2005.(In Chinese)
[14]高颖.盲源分离理论及其在地球物理勘探中的应用[D].长春:吉林大学档案馆,2008.Gao Y.Blind Source Separation Theory and Its Application in Geophysical Exploration[D].Changchun:The Archive of Jilin University,2008.(In Chinese)
[15]刘杰.基于独立分量分析的地震盲反褶积方法及应用研究[D].北京:中国石油大学档案馆,2008.Liu J.Study on Independent Component Analysis:Based Seismic Blind Deconvolution Method and Its Application[D].Beijing:The Archive of China University of Petroleum,2008.(In Chinese)
[16]杨剑波.独立分量分析及其在地震数据叠前噪声消减中的应用研究[D].成都:成都理工大学档案馆,2008.Yang J B.Independent Component Analysis and Its Application Study in Prestack De-noise of Seismic Data[D].Chengdu:The Archive of Chengdu University of Technology,2008.(In Chinese)
[17]刘诚.基于独立分量分析的地震信号多次波盲分离方法研究[D].成都:成都理工大学档案馆,2008.Liu C.The Method of Multiple Attenuation Based on Independent Component Analysis[D].Chengdu:The Archive of Chengdu University of Technology,2008.(In Chinese)
[18]杨威.基于独立分量分析的地震信号随机噪声盲分离方法应用研究[D].成都:成都理工大学档案馆,2009.Yang W.The Method of Seismic Random NoiseBlind Separation Base on ICA[D].Chengdu:The Archive of Chengdu University of Technology,2009.(In Chinese)
[19]邓添予.基于固定点算法的地震信号随机噪声盲分离方法应用研究[D].成都:成都理工大学档案馆,2010.Deng T Y.The Method of Seismic Random Noise Blind Separation Based on Improved FastICA[D].Chengdu:The Archive of Chengdu University ofTechnology,2010.(In Chinese)
[20]郭科,陈聆,陈辉,等.基于JADE算法的地震资料随机噪声盲分离方法研究[J].地学前缘,2011,18(3):302-309.Guo K,Chen L,Chen H,et al.The method of seismic random noise blind separation based on JADE[J].Earth Science Frontiers,2011,18(3):302-309.(In Chinese)
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