明确地质含义的地震准属性的回顾与探讨
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摘要
地震准属性是一类具有明确地质含义的一般属性的复合体,一般是针对具体的地质目标,将多个常规属性综合后衍生出的一种新的属性参数.在地震勘探目标日益复杂,精度要求越来越高的今天,具有天然地质背景的地震准属性分析技术值得大力发展和应用.本文回顾了最近十多年来地震准属性的发展历程,介绍了地震属性与地质特征相联系的各种地震准属性生成的衍生算法,探讨了地震准属性今后的研究方向,即开发出统一的地震准属性分析框架,以此来推动更加有效的地震属性与地质目标相直接联系的算法体系的建立.
Seismic meta-attributes are composites of general attributes which show clear geological object.It is a new attribute parameter that can integrate many general attributes using all kinds of algorithm on specific geological aim.Recently,meta-attributes analysis is a solution for increasingly complex and precision of exploration play.Meta-attributes with natural geological background should be deeply developed.In our paper,we first review the progress of meta-attributes in past 15 years.And then we introduce the combined meta-attributes algorithm,which closely link seismic attributes and geological features.Finally,we discuss the potential future of meta-attributes.We hope to establish a framework of seismic meta-attribute analysis that is an algorithm system to reveal directly relationship between seismic attributes and geological objectives.
Seismic meta-attributes are composites of general attributes which show clear geological object.It is a new attribute parameter that can integrate many general attributes using all kinds of algorithm on specific geological aim.Recently,meta-attributes analysis is a solution for increasingly complex and precision of exploration play.Meta-attributes with natural geological background should be deeply developed.In our paper,we first review the progress of meta-attributes in past 15 years.And then we introduce the combined meta-attributes algorithm,which closely link seismic attributes and geological features.Finally,we discuss the potential future of meta-attributes.We hope to establish a framework of seismic meta-attribute analysis that is an algorithm system to reveal directly relationship between seismic attributes and geological objectives.
引文
[1]Chopra S,Marfurt K J.Introduction to this special section—Seismic Attributes[J].The Leading Edge,2008,27(3):296-297.
[2]Chopra S,Marfurt K J.Seismic attributes—a historical perspective[J].Geophysics,2005,70(5):3SO-28SO.
[3]Chen Q,Steve S.Seismic attribute technology for reservoirforecasting and monitoring[J].The Leading Edge,1997,16(5):445-456.
[4]Barnes A E.Seismic attributes past,present,and future[C].69th Annual International Meeting,SEG,ExpandedAbstracts,1999:1-4.
[5]Taner M T.Seismic attributes[J].Canadian Society ofExploration Geophysicists Recorder,2001,26(9):48-56.
[6]Liner C,Li C F,Gersztenkorn A,et al.SPICE:A new generalseismic attribute[C].74th Annual International Meeting,SEG,Expanded Abstracts,2004:433-436.
[7]高林,杨勤勇.地震属性技术的新进展[J].石油物探,2004,43(增刊):10-16.Gao L,Yang Q Y.New advance of seismic attributetechnology[J].Geophysical Prospecting for petroleum(inChinese),2004,43(增刊):10-16.
[8]De Groot P,Bril A.Quantitative interpretation generallyneeds no seismic attributes[C].59th EAGE conference,Geneva,1997,Session:E018..
[9]Sheline H.Dont Abuse Seismic Attributes[J].AAPG Explorer,2005,26(1):22-23.
[10]Barnes A E.Too many seismic attributes?[J].CSEG Recorder,2006,31(3):41-45.
[11]Barnes A E.Redundant and useless seismic attributes[J].Geophysics,2007,72(3):P33-P38.
[12]Radovich B J,Oliveros R B.3Dsequence interpretation ofseismic instantaneous attributes from the Gorgon field[J].The Leading Edge,1998,17(9):1286-1293.
[13]Hart B S.Channel detection in 3Dseismic data using sweetness[J].AAPG Bulletin,2008,92(6):733-742.
[14]Meldahl P,Heggland R,Bril A H and de Groot P F M.Thechimney cube,an example of semi-automated detection ofseismic objects by directive attributes and neural networks:Part I;methodology[C].69th Annual InternationalMeeting,SEG,Expanded Abstracts,1999:931-934.
[15]Meldahl P,R Heggland,B Bril,and P de Groot.Identifyingfault and gas chimneys using multi-attributes and neuralnetworks[J].The Leading Edge,2001,20(5):474-482.
[16]Rooij M de,K Tingdahl.Meta-attribute—The key tomultivolume,multiattribute interpretation[J].The LeadingEdge,2002,21(10)):1050-1053.
[17]Aminzadeh Fred,P deGroot.A neural networks based seismicobject detection technique[C].75th Annual InternationalMeeting,SEG,Expanded Abstracts,2005:775-778.
[18]张军华,朱焕,高荣涛,等.地震复合属性—地震属性提取与解释新方法[J].新疆石油地质,2007,28(4):494-496.Zhang J H,Zhu H,Gao R T,Zhou Z X.Compoundattribute as new method for pickup and interpretation ofseismic attributes[J].Xinjiang Petroleum Geology(inChinese),2007,28(4):494-496.
[19]魏雅斋,陈清礼,桂志先,等.复合属性在北堡地区东营组储层预测中的应用[J].勘探地球物理进展,2008,31(5):387-391.Wei Y Z,Chen Q L,Gui Z X,Zhang Z H.Application ofcomposite seismic attribute in prediction of reservoir ofDongying Formation in Beipu area[J].Progress inExploration Geophysics(in Chinese),2008,31(5):387-391.
[20]Satinder Chopra,Kurt J Marfurt.Emerging and future trendsin seismic attributes[J].The Leading Edge,2008,27(3):298-318.
[21]Guo H,K J Marfurt,Liu J L,et al.Principal componentsanalysis of spectral components[C].76th AnnualInternational Meeting SEG,Expanded Abstracts,2006:988-992.
[22]丁峰,年永吉,王治国,等.地震多属性RGBA颜色融合技术的应用研究[J].石油物探,2010,49(3):248-252.Ding F,Nian Y J,Wang Z G,Yin C,Gu F M.Applicationof seismic multi-attributes RGBA color blending[J].Geophysical Prospecting for petroleum(in Chinese),2010,49(3):248-252.
[23]段春节,赵虎,吴汉宁,等.基于井位的地震属性融合技术研究.地球物理学进展,2009,4(1):288-292.Duan C J,Zhao H,Wu H N,Yin C.Research on techniqueof seismic attributes synthesis based on wells[J].Progress inGeophys.(in Chinese),2009,24(1):288-292.
[24]Russell S,P Norvig.Artificial Intelligence:A ModernApproach(3rd Edition)[M].New Jersey:Prentice Hall,2009.
[25]Kohonen T.Self-organization and associative memory(3rdEdition)[M].New York:Springer-Verlag,1989.
[26]J.Edward Jackson.A Users Guide to Principal Components[M].New York:John Wiley and Sons,1991.
[27]李春峰,Christopher Liner.基于小波多尺度分析的奇性指数:一种新地震属性[J].地球物理学报,2005,48(4):882-888.Li C F,Christopher Liner.Singularity exponent fromwavelet-based multiscale analysis:A new seismic attribute[J].Chinese J.Geophys.(in Chinese),2005,48(4):882-888.
[28]邵锐,孙彦彬,于海生,等.基于地震属性各向异性的火山机构识别技术[J].地球物理学报,2011,54(2):343-348.Shao R,Sun Y B,Yu H S,Wang H Y.Identificationtechnology of volcanic edifice based on seismic attributeanisotropy[J].Chinese J.Geophys.(in Chinese),2011,54(2):343-348.
[2]Chopra S,Marfurt K J.Seismic attributes—a historical perspective[J].Geophysics,2005,70(5):3SO-28SO.
[3]Chen Q,Steve S.Seismic attribute technology for reservoirforecasting and monitoring[J].The Leading Edge,1997,16(5):445-456.
[4]Barnes A E.Seismic attributes past,present,and future[C].69th Annual International Meeting,SEG,ExpandedAbstracts,1999:1-4.
[5]Taner M T.Seismic attributes[J].Canadian Society ofExploration Geophysicists Recorder,2001,26(9):48-56.
[6]Liner C,Li C F,Gersztenkorn A,et al.SPICE:A new generalseismic attribute[C].74th Annual International Meeting,SEG,Expanded Abstracts,2004:433-436.
[7]高林,杨勤勇.地震属性技术的新进展[J].石油物探,2004,43(增刊):10-16.Gao L,Yang Q Y.New advance of seismic attributetechnology[J].Geophysical Prospecting for petroleum(inChinese),2004,43(增刊):10-16.
[8]De Groot P,Bril A.Quantitative interpretation generallyneeds no seismic attributes[C].59th EAGE conference,Geneva,1997,Session:E018..
[9]Sheline H.Dont Abuse Seismic Attributes[J].AAPG Explorer,2005,26(1):22-23.
[10]Barnes A E.Too many seismic attributes?[J].CSEG Recorder,2006,31(3):41-45.
[11]Barnes A E.Redundant and useless seismic attributes[J].Geophysics,2007,72(3):P33-P38.
[12]Radovich B J,Oliveros R B.3Dsequence interpretation ofseismic instantaneous attributes from the Gorgon field[J].The Leading Edge,1998,17(9):1286-1293.
[13]Hart B S.Channel detection in 3Dseismic data using sweetness[J].AAPG Bulletin,2008,92(6):733-742.
[14]Meldahl P,Heggland R,Bril A H and de Groot P F M.Thechimney cube,an example of semi-automated detection ofseismic objects by directive attributes and neural networks:Part I;methodology[C].69th Annual InternationalMeeting,SEG,Expanded Abstracts,1999:931-934.
[15]Meldahl P,R Heggland,B Bril,and P de Groot.Identifyingfault and gas chimneys using multi-attributes and neuralnetworks[J].The Leading Edge,2001,20(5):474-482.
[16]Rooij M de,K Tingdahl.Meta-attribute—The key tomultivolume,multiattribute interpretation[J].The LeadingEdge,2002,21(10)):1050-1053.
[17]Aminzadeh Fred,P deGroot.A neural networks based seismicobject detection technique[C].75th Annual InternationalMeeting,SEG,Expanded Abstracts,2005:775-778.
[18]张军华,朱焕,高荣涛,等.地震复合属性—地震属性提取与解释新方法[J].新疆石油地质,2007,28(4):494-496.Zhang J H,Zhu H,Gao R T,Zhou Z X.Compoundattribute as new method for pickup and interpretation ofseismic attributes[J].Xinjiang Petroleum Geology(inChinese),2007,28(4):494-496.
[19]魏雅斋,陈清礼,桂志先,等.复合属性在北堡地区东营组储层预测中的应用[J].勘探地球物理进展,2008,31(5):387-391.Wei Y Z,Chen Q L,Gui Z X,Zhang Z H.Application ofcomposite seismic attribute in prediction of reservoir ofDongying Formation in Beipu area[J].Progress inExploration Geophysics(in Chinese),2008,31(5):387-391.
[20]Satinder Chopra,Kurt J Marfurt.Emerging and future trendsin seismic attributes[J].The Leading Edge,2008,27(3):298-318.
[21]Guo H,K J Marfurt,Liu J L,et al.Principal componentsanalysis of spectral components[C].76th AnnualInternational Meeting SEG,Expanded Abstracts,2006:988-992.
[22]丁峰,年永吉,王治国,等.地震多属性RGBA颜色融合技术的应用研究[J].石油物探,2010,49(3):248-252.Ding F,Nian Y J,Wang Z G,Yin C,Gu F M.Applicationof seismic multi-attributes RGBA color blending[J].Geophysical Prospecting for petroleum(in Chinese),2010,49(3):248-252.
[23]段春节,赵虎,吴汉宁,等.基于井位的地震属性融合技术研究.地球物理学进展,2009,4(1):288-292.Duan C J,Zhao H,Wu H N,Yin C.Research on techniqueof seismic attributes synthesis based on wells[J].Progress inGeophys.(in Chinese),2009,24(1):288-292.
[24]Russell S,P Norvig.Artificial Intelligence:A ModernApproach(3rd Edition)[M].New Jersey:Prentice Hall,2009.
[25]Kohonen T.Self-organization and associative memory(3rdEdition)[M].New York:Springer-Verlag,1989.
[26]J.Edward Jackson.A Users Guide to Principal Components[M].New York:John Wiley and Sons,1991.
[27]李春峰,Christopher Liner.基于小波多尺度分析的奇性指数:一种新地震属性[J].地球物理学报,2005,48(4):882-888.Li C F,Christopher Liner.Singularity exponent fromwavelet-based multiscale analysis:A new seismic attribute[J].Chinese J.Geophys.(in Chinese),2005,48(4):882-888.
[28]邵锐,孙彦彬,于海生,等.基于地震属性各向异性的火山机构识别技术[J].地球物理学报,2011,54(2):343-348.Shao R,Sun Y B,Yu H S,Wang H Y.Identificationtechnology of volcanic edifice based on seismic attributeanisotropy[J].Chinese J.Geophys.(in Chinese),2011,54(2):343-348.
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