基于时频域Teager主能量的储层检测
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摘要
油气储层可引起地震信号的能量密度产生异常,因而可利用这种异常进行储层检测。本文在广义S变换的基础上,推导出了一种时频域Teager能量,并定义了反映地震信号能量密度主要信息的瞬时Teager主能量属性。经实际地震信号的分析,发现时频域Teager能量分布具有更高的时频聚集性和时间分辨率。三维地震资料的处理结果表明,瞬时Teager主能量可有效地反映油气储层的位置,准确刻画储层的空间展布及内部的非均质性,可作为分析储层的一种新的瞬时谱属性。
Reservoir causes energy density anomalies of seismic signal which could be utilized to detect reservoirs.Teager energy in time-frequency domain is derived from generalized S-transform in this paper.Furthermore,an instantaneous Teager dominant energy(ITDE) is proposed,which delineates the major features of seismic energy density.Analysis of real seismic traces shows that Teager energy distribution in time-frequency domain possesses higher time-frequency localization and temporal resolution.3D seismic data demonstrates that ITDE can depict reservoir location,and characterize the spatial distribution and internal heterogeneity of reservoirs.ITDE can be used as a new instantaneous spectral attribute in reservoir characterization.
Reservoir causes energy density anomalies of seismic signal which could be utilized to detect reservoirs.Teager energy in time-frequency domain is derived from generalized S-transform in this paper.Furthermore,an instantaneous Teager dominant energy(ITDE) is proposed,which delineates the major features of seismic energy density.Analysis of real seismic traces shows that Teager energy distribution in time-frequency domain possesses higher time-frequency localization and temporal resolution.3D seismic data demonstrates that ITDE can depict reservoir location,and characterize the spatial distribution and internal heterogeneity of reservoirs.ITDE can be used as a new instantaneous spectral attribute in reservoir characterization.
引文
[1]Peyton Lynn,Bottjer Rich,Partyka Greg.Interpre-tation of incised valleys using new 3-D seismic tech-niques:a case history using spectral decompositionand coherency.The Leading Edge,1998,17(9):1294～1298
[2]Partyka Greg,Gridley James,Lopez John.Interpre-tational applications of spectral decomposition in res-ervoir characterization.The Leading Edge,1999,18(3):353～360
[3]Castagna J P,Sun S,Siegfried R W.Instantaneousspectral analysis:Detection of low-frequency shad-ows associated with hydrocarbons.The LeadingEdge,2003,22(2):120～127
[4]Goloshubin G M,Connie V A,Korneev V A et al.Reservoir i maging using low frequencies of seismicreflections.The Leading Edge,2006,25(5):527～531
[5]陈学华,贺振华,黄德济等.时频域油气储层低频阴影检测.地球物理学报,2009,52(1):215～221Chen Xue-hua,He Zhen-hua,Huang De-ji et al.Lowfrequency shadow detection of gas reservoirs inti me-frequency domain.Chinese Journal of Geophys-ics,2009,52(1):215～221
[6]Teager H,Teager S.Evidence for nonlinear produc-tion mechanisms in the vocal tract.Speech Produc-tion&Speech Modeling,1990,55:241～261
[7]Kaiser J F.On a si mple algorithm to calculate the‘energy’of a signal.IEEEICASSP,1990,381～384
[8]Jabloun F,Cetin A E,Erzin E.Teager energy basedfeature parameters for speech recognition in carnoise.IEEE Signal Processing Letters,1999,6(10):259～261
[9]Nehe N S,Holambe R S.Power spectrumdifferenceteager energy features for speech recognition in noisyenvironment∥IEEE Region 10 Colloquium and theThird International Conference on Industrial and In-formation Systems,2008,1～5
[10]马永林,韩纪庆,张磊等.基于Teager能量算子(TEO)基频的应力影响下的变异语音分类.声学学报,2002,27(6):518～522Ma Yong-lin,Han Ji-qing,Zhang Lei et al.TEO-pitch based classification of stressed speech under G-force.Acta Acustica,2002,27(6):518～522
[11]楼红伟,胡光锐.基于Teager能量算子的倒谱方差的模糊均衡.上海交通大学学报,2003,37(11):1751～1753Lou Hong-wei,Hu Guang-rui.A fuzzy equalizationof spectral variances based on Teager energy opera-tor.Journal of Shanghai Jiaotong University,2003,37(11):1751～1753
[12]Vleesschauwer D D,Cheikh F A,Hamila R et al.Watershed segmentation of an i mage enhanced byTeager energy driven diffusion.IEE ConferencePublication,1997,254～258
[13]Mao Y,Tseng D,Liu MS.Wavelet i mage enhance-ment based on Teager energy operator∥IEEE 16thInternational Conference on Pattern Recognition,2002,993～996
[14]Matos D,Catholic J,Johann S.Revealing geologicalfeatures through seismic attributes extracted fromthewavelet transform Teager-Kaiser energy.SEG Tech-nical Program Expanded Abstracts,2007,26:1442～1446
[15]Matos D,Marfurt KJ,Johann S.Brazilian deep wa-ter carbonate reservoir study using the wavelet trans-form Teager-Kaiser energy.SEG Technical ProgramExpanded Abstracts,2008,27:1516～1520
[16]Matos D,Marfurt K J.Wavelet transform Teager-Kaiser energy applied to a carbonate field in Brazil.The Leading Edge,2009,28(6):708～713
[17]Sinha S,Routh P S,Anno P D,Castagna J P.Spec-tral decomposition of seismic data with continuous-wavelet transform.Geophysics,2005,70(6):P19～P25
[18]Marfurt KJ,Kirlin R L.Narrow-band spectral anal-ysis and thin-bed tuning.Geophysics,2001,60(4):1274～1283
[19]Liu J,Marfurt KJ.Instantaneous spectral attributesto detect channel.Geophysics,2007,72(2):P23～P31
[20]陈学华,贺振华,黄德济.基于广义S变换的地震资料高效时频谱分解.石油地球物理勘探,2008,43(5):530～534Chen Xue-hua,He Zhen-hua,Huang De-ji.High-ef-ficient ti me-frequency spectrumdecomposition of seis-mic data based on generalized S transform.OGP,2008,43(5):530～534
[21]Hamila R,Astola J,Cheikh F Aet al.Teager energyand the ambiguity function.IEEE Transactions onSignal Processing,1999,47(1):260～262
[2]Partyka Greg,Gridley James,Lopez John.Interpre-tational applications of spectral decomposition in res-ervoir characterization.The Leading Edge,1999,18(3):353～360
[3]Castagna J P,Sun S,Siegfried R W.Instantaneousspectral analysis:Detection of low-frequency shad-ows associated with hydrocarbons.The LeadingEdge,2003,22(2):120～127
[4]Goloshubin G M,Connie V A,Korneev V A et al.Reservoir i maging using low frequencies of seismicreflections.The Leading Edge,2006,25(5):527～531
[5]陈学华,贺振华,黄德济等.时频域油气储层低频阴影检测.地球物理学报,2009,52(1):215～221Chen Xue-hua,He Zhen-hua,Huang De-ji et al.Lowfrequency shadow detection of gas reservoirs inti me-frequency domain.Chinese Journal of Geophys-ics,2009,52(1):215～221
[6]Teager H,Teager S.Evidence for nonlinear produc-tion mechanisms in the vocal tract.Speech Produc-tion&Speech Modeling,1990,55:241～261
[7]Kaiser J F.On a si mple algorithm to calculate the‘energy’of a signal.IEEEICASSP,1990,381～384
[8]Jabloun F,Cetin A E,Erzin E.Teager energy basedfeature parameters for speech recognition in carnoise.IEEE Signal Processing Letters,1999,6(10):259～261
[9]Nehe N S,Holambe R S.Power spectrumdifferenceteager energy features for speech recognition in noisyenvironment∥IEEE Region 10 Colloquium and theThird International Conference on Industrial and In-formation Systems,2008,1～5
[10]马永林,韩纪庆,张磊等.基于Teager能量算子(TEO)基频的应力影响下的变异语音分类.声学学报,2002,27(6):518～522Ma Yong-lin,Han Ji-qing,Zhang Lei et al.TEO-pitch based classification of stressed speech under G-force.Acta Acustica,2002,27(6):518～522
[11]楼红伟,胡光锐.基于Teager能量算子的倒谱方差的模糊均衡.上海交通大学学报,2003,37(11):1751～1753Lou Hong-wei,Hu Guang-rui.A fuzzy equalizationof spectral variances based on Teager energy opera-tor.Journal of Shanghai Jiaotong University,2003,37(11):1751～1753
[12]Vleesschauwer D D,Cheikh F A,Hamila R et al.Watershed segmentation of an i mage enhanced byTeager energy driven diffusion.IEE ConferencePublication,1997,254～258
[13]Mao Y,Tseng D,Liu MS.Wavelet i mage enhance-ment based on Teager energy operator∥IEEE 16thInternational Conference on Pattern Recognition,2002,993～996
[14]Matos D,Catholic J,Johann S.Revealing geologicalfeatures through seismic attributes extracted fromthewavelet transform Teager-Kaiser energy.SEG Tech-nical Program Expanded Abstracts,2007,26:1442～1446
[15]Matos D,Marfurt KJ,Johann S.Brazilian deep wa-ter carbonate reservoir study using the wavelet trans-form Teager-Kaiser energy.SEG Technical ProgramExpanded Abstracts,2008,27:1516～1520
[16]Matos D,Marfurt K J.Wavelet transform Teager-Kaiser energy applied to a carbonate field in Brazil.The Leading Edge,2009,28(6):708～713
[17]Sinha S,Routh P S,Anno P D,Castagna J P.Spec-tral decomposition of seismic data with continuous-wavelet transform.Geophysics,2005,70(6):P19～P25
[18]Marfurt KJ,Kirlin R L.Narrow-band spectral anal-ysis and thin-bed tuning.Geophysics,2001,60(4):1274～1283
[19]Liu J,Marfurt KJ.Instantaneous spectral attributesto detect channel.Geophysics,2007,72(2):P23～P31
[20]陈学华,贺振华,黄德济.基于广义S变换的地震资料高效时频谱分解.石油地球物理勘探,2008,43(5):530～534Chen Xue-hua,He Zhen-hua,Huang De-ji.High-ef-ficient ti me-frequency spectrumdecomposition of seis-mic data based on generalized S transform.OGP,2008,43(5):530～534
[21]Hamila R,Astola J,Cheikh F Aet al.Teager energyand the ambiguity function.IEEE Transactions onSignal Processing,1999,47(1):260～262
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