基于Curvelet变换的角度流体因子提取技术
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摘要
从角度道集数据出发,充分利用它们之间的差别,流体信息和骨架信息在尺度和方向上的差别,以及Curve-let变换的多尺度性和多方向性,提出应用角度流体因子属性进行流体识别的方法。参考时移地震数据的互均衡方法提出子波均衡法,对各个角道集数据进行均衡。然后,利用背景场信息(骨架信息)和流体信息在curvelet域分布的不同,将其进行逐步分离,得到目的层处的异常。把角度流体因子应用到模型与实际地震数据中,计算结果证明了其应用价值,可以准确地判定储层的位置及范围。进一步的与其他属性结合,为油藏精细描述提供较为可靠的依据。
According to the differences between angle gather data and multiscale and multi-direction characteristics of Curvelet transform,this paper proposes the utilization of angle fluid factor to discriminate different fluids.Models and real seismic data are used to test the method.The result is reliable,and the location and range of the reservoir can be satisfactorily obtained.In combination with other attributes,the method can provide better information for fine description of the reservoir.Making reference to cross-equalization methods of time-lapse seismic data,the wavelet cross-equalization method is used to equalize angle gather data.Then,Curvelet domain fluid anomaly separation technique is used to separate background field information(rock frame information) from fluid information,and the anomaly of the interesting layer can be obtained.
According to the differences between angle gather data and multiscale and multi-direction characteristics of Curvelet transform,this paper proposes the utilization of angle fluid factor to discriminate different fluids.Models and real seismic data are used to test the method.The result is reliable,and the location and range of the reservoir can be satisfactorily obtained.In combination with other attributes,the method can provide better information for fine description of the reservoir.Making reference to cross-equalization methods of time-lapse seismic data,the wavelet cross-equalization method is used to equalize angle gather data.Then,Curvelet domain fluid anomaly separation technique is used to separate background field information(rock frame information) from fluid information,and the anomaly of the interesting layer can be obtained.
引文
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[26]杨培杰,印兴耀.地震子波提取方法综述[J].石油地球物理勘探,2008,43(1):123-128.
[27]张广智,刘洪,印兴耀.井旁道地震子波精细提取方法[J].石油地球物理勘探,2005,40(2):158-162.
[28]陈建江,印兴耀,张广智.基于贝叶斯理论的振幅随偏移距变化三参数同步反演[J].中国石油大学学报:自然科学版,2007,31(3):33-38.
[29]Youzwishen C F.Non-linear sparse and block constraints for seismicinversion problems[D].Edmonton:University of Alber-ta,2001.
[30]Zheng Jingjing,Yin Xingyao,Zhang Guangzhi.Multiscale and mul-tiaspect method of removal surface-wave based on the second gen-eration Curvelet transform[C]//SEG Houston 2009 Annual Meet-ing:3183-3187.
[31]Herrmann F J,Boeniger U,Verschuur D J.Nonlinear primary mul-tiple separation with directional curvelet frames[J].GeophysicalJournal International,2007,170:781-799.
[32]Herrmann F J,Wang D,Hennenfent G,et al.Curvelet-based seis-mic data processing:Amultiscale and nonlinear approach[J].Ge-ophysics,2008,73(1):A1-A5.
[33]Herrmann F J,Wang D,Verschuur D J.Adaptive curvelet-domain pri-mary-multiple separation[J].Geophysics,2008b,73(3):A17-A21.
[34]Wang Deli,Saab Rayan,zgr Yilmaz.Bayesian wavefield separa-tion by transform-domain sparsity promotion[J].Geophysics,2008,73,(5).
[35]杨培杰,穆星,印兴耀.叠前三参数同步反演方法及其应用[J].石油学报,2009,30(2):232-236.
[2]Smith G C,Gidlow P M.Weighted stacking for rock property esti-mation and detection of gas[J].Geophysical Prospecting,1987,35:993-1014.
[3]Fatti J,Smith G,Vail P,et al.Detection of gas in sandstone reser-voirs usingAVOanalysis:A 3-D seismic case history using thegeostack technique[J].Geophysics,1994,59,1362-1376.
[4]Russell B,Hedlin H K,Hilterman F J.Fluid-property discrimina-tion with AVO:A Biot-Gassmann perspective[J].Geophysics,2003,68,29-39.
[5]Connolly P.Elastic impedance[J].The Leading Edge,1999,18(4):438-53.
[6]Whitcombe D N.Elastic impedance normalization[J].Geophysics,2002,67(l):60-62.
[7]Whitcombe D N.Extended elastic impedance for fluid and lithologyprediction[J].Geophysics,2002,67(l):63-67.
[8]马劲风.地震勘探中广义弹性阻抗的正反演[J].地球物理学报,2003,46(1):118-124.
[9]甘利灯,赵邦六,杜文辉,等.弹性阻抗在流体与岩性预测中的潜力分析[J].石油物探,2005,44(5):504-508.
[10]倪逸.弹性波阻抗计算的一种新方法[J].石油地球物理勘探,2003,38(2):147-150.
[11]王保丽,印兴耀,张繁昌.弹性阻抗反演及应用研究[J].地球物理学进展,2005,20(1):89-92.
[12]Castagna J P,SUNS J,Siegfried R W.Instantaneous spectral analy-sis:Detection of low-frequency shadows associated with hydrocar-bons[J].The Leading Edge,2003,(FEBRUARY):120-127.
[13]Candès E J,Donoho D L.Curvelet-a surprisingly effective nonadap-tive representation for objects with edges[R].TN:Van-derbiltUniv Press,1999.
[14]Candès E J.Ridgelets:theory and applications[D].USA:Depart-ment of Statistics,Stanford University,1998.
[15]Candès E J,DonohoD L.Ridgelets:a key to higher-dimensional in-termittency?Philosophical Transactions of the Royal Society ofLondon Series A[J].Mathematical and Physical Sciences,1999,2495-2509.
[16]Do M N,Vetterli M.The finite ridgelet transform for image repre-sentation[J].IEEE Transactions on Image Processing,2003,12(1):16-28.
[17]Donoho D L.Fast ridgelet transforms in dimension 2[R].StanfordUniv Dept Statist,Stanford,CA,Tech Rep,1997.
[18]Candès E J,D LDonoho.Newtight frames of curvelets and optimalrepresentations of objects with piecewise-C2 singularities[J].Com-mun.on Pure and Appl.Math.2004,57(2):219-266.
[19]Candès E J,Demanet L,Donoho D L,et al.Fast Discrete CurveletTransforms.Applied and Computational Mathematics[J].Califor-nia Institute of Technology.2005:1-43.
[20]李蓉,胡天跃.时移地震资料处理中的互均衡技术[J].石油地球物理勘探,2004,39(4):424-427.
[21]金龙,陈小宏,刘其成.基于奇异值分解的时移地震互均衡方法[J].地球物理学进展,2005,20(20):294-297.
[22]金龙,陈小宏,李景叶.基于误差准则和循环迭代的时移地震匹配滤波方法[J].地球物理学报,2005,48(3):698-703.
[23]Hao G,Marfurt K J,Liu J L,et al.Principal components analysis ofspectral components[R].New Orleans:SEG/New Orleans 2006Annual meeting,2006.
[24]Zhang Guangzhi,Zheng Jingjing,Yin Xingyao.Coherence cubebased on curvelet transform[C]//SEG Las Vegas 2008 AnnualMeeting:924-928.
[25]郑静静,印兴耀,张广智.基于Curvelet变换的多尺度分析技术[J].石油地球物理勘探,2009,44(5):543-547.
[26]杨培杰,印兴耀.地震子波提取方法综述[J].石油地球物理勘探,2008,43(1):123-128.
[27]张广智,刘洪,印兴耀.井旁道地震子波精细提取方法[J].石油地球物理勘探,2005,40(2):158-162.
[28]陈建江,印兴耀,张广智.基于贝叶斯理论的振幅随偏移距变化三参数同步反演[J].中国石油大学学报:自然科学版,2007,31(3):33-38.
[29]Youzwishen C F.Non-linear sparse and block constraints for seismicinversion problems[D].Edmonton:University of Alber-ta,2001.
[30]Zheng Jingjing,Yin Xingyao,Zhang Guangzhi.Multiscale and mul-tiaspect method of removal surface-wave based on the second gen-eration Curvelet transform[C]//SEG Houston 2009 Annual Meet-ing:3183-3187.
[31]Herrmann F J,Boeniger U,Verschuur D J.Nonlinear primary mul-tiple separation with directional curvelet frames[J].GeophysicalJournal International,2007,170:781-799.
[32]Herrmann F J,Wang D,Hennenfent G,et al.Curvelet-based seis-mic data processing:Amultiscale and nonlinear approach[J].Ge-ophysics,2008,73(1):A1-A5.
[33]Herrmann F J,Wang D,Verschuur D J.Adaptive curvelet-domain pri-mary-multiple separation[J].Geophysics,2008b,73(3):A17-A21.
[34]Wang Deli,Saab Rayan,zgr Yilmaz.Bayesian wavefield separa-tion by transform-domain sparsity promotion[J].Geophysics,2008,73,(5).
[35]杨培杰,穆星,印兴耀.叠前三参数同步反演方法及其应用[J].石油学报,2009,30(2):232-236.
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