时频分析技术在地震勘探中的应用综述
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摘要
谱分解技术可将地震数据从时间域转换到频率域,从而获得在时间域无法得到的一些信息,提高地震资料预测薄储层及岩性圈闭的能力。先进的谱分解技术是时频分析技术。首先阐述了时频分析技术的基本原理、方法及其对地震资料处理与解释的重要意义,继而论述了近年来时频分析技术在地震勘探中的具体应用领域,包括谱分解、谱反演、波形分类和分频处理等,并对其应用进行了展望。
Spectral decomposition techniques can be used to extract some useful information in time-frequency domain which can not be found in conventional time domain, and improve the prediction ability of thin reservoir and lithologic traps. The key point of spectral decomposition is time-frequency analysis. This paper expounded the principle and method of time-frequency analysis technique and its significance to seismic data processing. Some application cases of time-frequency analysis technique in seismic exploration were presented to illustrate the progress of the application of time-frequency analysis in seismic exploration, including spectral decomposition, spectral inversion, waveform classification and frequency splitting processing. From the process we can see that the application of time-frequency analysis technique in seismic exploration has a fine prospect.
Spectral decomposition techniques can be used to extract some useful information in time-frequency domain which can not be found in conventional time domain, and improve the prediction ability of thin reservoir and lithologic traps. The key point of spectral decomposition is time-frequency analysis. This paper expounded the principle and method of time-frequency analysis technique and its significance to seismic data processing. Some application cases of time-frequency analysis technique in seismic exploration were presented to illustrate the progress of the application of time-frequency analysis in seismic exploration, including spectral decomposition, spectral inversion, waveform classification and frequency splitting processing. From the process we can see that the application of time-frequency analysis technique in seismic exploration has a fine prospect.
引文
[1]刘喜武,宁俊瑞.地震时频属性及其在油气地震地质技术中应用的综述[J].勘探地球物理进展,2009,32(1):18-22.
[2]路鹏飞,杨长春,郭爱华.频谱成像技术研究进展[J].地球物理学进展,2007,22(5):1517-1521.
[3]陈雨红,杨长春,曹齐放,等.几种时频分析方法比较[J].地球物理学进展,2006,21(4):1180-1185.
[4]李振春,刁瑞,韩文功,等.线性时频分析方法综述[J].勘探地球物理进展,2010,33(4):239-246.
[5]Cohen L.Time-frequency distributions—A review[J].Proceedings of the IEEE,1989,77(7):941-981.
[6]Stockwell R G,Mansinha L,Lowe R P.Localization of the complex spectrum:The S transform[J].IEEE Transactions on Signal Process-ing,1996,44(4):998-1001.
[7]高静怀,陈文超,李幼铭,等.广义S变换与薄互层地震响应分析[J].地球物理学报,2003,46(4):526-532.
[8]沈向存,刘文奎,陈杰.基于经验模态分解的Wigner-Ville时频分布[J].勘探地球物理进展,2009,32(5):321-325.
[9]Mallat S G,Zhang Zhifeng.Matching pursuits with Time-Frequency Dictionaries[J].IEEE Transactions on Signal Processing,1993,41(12):3397-3415.
[10]Huang N E,Shen Zheng,Long S R,et al.The empirical mode decom-position and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society A,1998,454:903-995.
[11]Gridley J,Partyka G.Processing and interpretational aspects of spectral decomposition[C].SEG Technical Program Expanded Abstracts,Texas,1997:1055-1058.
[12]Partyka G,Gridley J,Lopez J.Interpretational applications of spec-tral decomposition in reservoir characterization[J].The Leading Edge,1999,18(3):353-360.
[13]Castagna J P,Sun Shengjie,Siegfried R W.Instantaneous spectral analysis:Detection of low-frequency shadows associated with hydro-carbons[J].The Leading Edge,2003,22(2):120-127.
[14]Zhao Bo,Johnston D,Gouveia W.Spectral decomposition of4D seismic data[C].SEG Annual Meeting,New Orleans,2006:3235-3239.
[15]Chopra S,Castagna J,Portniaguine O.Seismic resolution and thin-bed reflectivity inversion[J].CSEG recorder,2006,31(1):19-25.
[16]Rodriguez J M.Spectral decomposition andinversion:Case study of a production area in the cook inlet basin,Alaska,USA[D].Houston:University of Houston,2009.
[17]Ahmad M N,Rowell P.Application of spectral decomposition and seismic attributes to understand the structure and distribution of sand reservoirs with teritary rift basins of gulf of Thailand[C].AAPG Annual convention and Exhibition,Long Beach,California,2012.
[18]Zhang Kui,Marfurt K J,Guo Yanxia.Volumetric application of ske-wed spectra[C].SEG Annual Meeting,Las Vegas,2008:919-922.
[19]Li Xingong,Jong P L,Sylvester Z,et al.Spectral waveform classi-fier:Method and examples[C].SEG Annual Meeting,Denver,2010:1398-1402.
[20]Chen Maoshan,Wan Zhonghong,Zhang Hongying,et al.Spectral decomposition and derived techniques for clastic reservoir identi-fication and its application[C].SEG Annual Meeting,Denver,2010:1571-1575.
[21]Jiang Li,Yang Shaoguo,Zhao Mingjin,et al.Frequency-dependentseismic attributes and their application for hydrocarbon detection[C].SEG Annual Meeting,Denver,2010:1566-1570.
[22]Wang Lingling,Gao Jinghuai,Weng bin,et al.Hydrocarbon dete-ction using adaptive selected spectrum attenuation[C].SEG Annual Meeting,San Antonio,2011:1958-1962.
[23]de Matos M C,Marfurt K J.Inverse continuous wavelet transform“Deconvolution”[C].SEG Annual Meeting,San Antonio,2011:1861-1865.
[24]Liu Yang,Formel S.Local time-frequency transform and its appli-cation to ground-roll noise attenuation[C].SEG Annual Meeting,Denver,2010:3711-3716.
[25]Wang Xiongwen,Wang Huazhong,Chen Yunfeng,et al.Sparse local time-frequency(SLTF)decompositions and its application[C].SEG Annual Meeting,San Antonio,2011:3628-3632.
[2]路鹏飞,杨长春,郭爱华.频谱成像技术研究进展[J].地球物理学进展,2007,22(5):1517-1521.
[3]陈雨红,杨长春,曹齐放,等.几种时频分析方法比较[J].地球物理学进展,2006,21(4):1180-1185.
[4]李振春,刁瑞,韩文功,等.线性时频分析方法综述[J].勘探地球物理进展,2010,33(4):239-246.
[5]Cohen L.Time-frequency distributions—A review[J].Proceedings of the IEEE,1989,77(7):941-981.
[6]Stockwell R G,Mansinha L,Lowe R P.Localization of the complex spectrum:The S transform[J].IEEE Transactions on Signal Process-ing,1996,44(4):998-1001.
[7]高静怀,陈文超,李幼铭,等.广义S变换与薄互层地震响应分析[J].地球物理学报,2003,46(4):526-532.
[8]沈向存,刘文奎,陈杰.基于经验模态分解的Wigner-Ville时频分布[J].勘探地球物理进展,2009,32(5):321-325.
[9]Mallat S G,Zhang Zhifeng.Matching pursuits with Time-Frequency Dictionaries[J].IEEE Transactions on Signal Processing,1993,41(12):3397-3415.
[10]Huang N E,Shen Zheng,Long S R,et al.The empirical mode decom-position and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society A,1998,454:903-995.
[11]Gridley J,Partyka G.Processing and interpretational aspects of spectral decomposition[C].SEG Technical Program Expanded Abstracts,Texas,1997:1055-1058.
[12]Partyka G,Gridley J,Lopez J.Interpretational applications of spec-tral decomposition in reservoir characterization[J].The Leading Edge,1999,18(3):353-360.
[13]Castagna J P,Sun Shengjie,Siegfried R W.Instantaneous spectral analysis:Detection of low-frequency shadows associated with hydro-carbons[J].The Leading Edge,2003,22(2):120-127.
[14]Zhao Bo,Johnston D,Gouveia W.Spectral decomposition of4D seismic data[C].SEG Annual Meeting,New Orleans,2006:3235-3239.
[15]Chopra S,Castagna J,Portniaguine O.Seismic resolution and thin-bed reflectivity inversion[J].CSEG recorder,2006,31(1):19-25.
[16]Rodriguez J M.Spectral decomposition andinversion:Case study of a production area in the cook inlet basin,Alaska,USA[D].Houston:University of Houston,2009.
[17]Ahmad M N,Rowell P.Application of spectral decomposition and seismic attributes to understand the structure and distribution of sand reservoirs with teritary rift basins of gulf of Thailand[C].AAPG Annual convention and Exhibition,Long Beach,California,2012.
[18]Zhang Kui,Marfurt K J,Guo Yanxia.Volumetric application of ske-wed spectra[C].SEG Annual Meeting,Las Vegas,2008:919-922.
[19]Li Xingong,Jong P L,Sylvester Z,et al.Spectral waveform classi-fier:Method and examples[C].SEG Annual Meeting,Denver,2010:1398-1402.
[20]Chen Maoshan,Wan Zhonghong,Zhang Hongying,et al.Spectral decomposition and derived techniques for clastic reservoir identi-fication and its application[C].SEG Annual Meeting,Denver,2010:1571-1575.
[21]Jiang Li,Yang Shaoguo,Zhao Mingjin,et al.Frequency-dependentseismic attributes and their application for hydrocarbon detection[C].SEG Annual Meeting,Denver,2010:1566-1570.
[22]Wang Lingling,Gao Jinghuai,Weng bin,et al.Hydrocarbon dete-ction using adaptive selected spectrum attenuation[C].SEG Annual Meeting,San Antonio,2011:1958-1962.
[23]de Matos M C,Marfurt K J.Inverse continuous wavelet transform“Deconvolution”[C].SEG Annual Meeting,San Antonio,2011:1861-1865.
[24]Liu Yang,Formel S.Local time-frequency transform and its appli-cation to ground-roll noise attenuation[C].SEG Annual Meeting,Denver,2010:3711-3716.
[25]Wang Xiongwen,Wang Huazhong,Chen Yunfeng,et al.Sparse local time-frequency(SLTF)decompositions and its application[C].SEG Annual Meeting,San Antonio,2011:3628-3632.
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