地震属性优化与预测新进展
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摘要
近年来,地震属性广泛应用于油气勘探开发中,并在构造解释、储层预测等方面发挥了重要作用,为此对地震属性分类、属性提取、属性优化和属性预测方法等进行了较为系统的归纳与总结。在此基础上,重点介绍了地震属性优化中的各种数学变换降维方法,其中包括:线性降维方法中的主成分分析法和独立成分分析法;非线性降维方法中的核函数法、局部线性嵌入法和等距映射法。
Seismic attribute technology has been widely used in hydrocarbon exploration and has played an important role in structure interpretation and reservoir prediction.This paper systematically reviewed new advances in classification of seismic attributes,attribute extraction and optimization,and reservoir prediction by attributes.Dimension reduction methods based on different mathematical transforms were discussed,including PCA,ICA,KPCA,LLE and Isomap.
Seismic attribute technology has been widely used in hydrocarbon exploration and has played an important role in structure interpretation and reservoir prediction.This paper systematically reviewed new advances in classification of seismic attributes,attribute extraction and optimization,and reservoir prediction by attributes.Dimension reduction methods based on different mathematical transforms were discussed,including PCA,ICA,KPCA,LLE and Isomap.
引文
1 Taner M.地震属性[J].隗寿东译.油气地球物理,2006,4(1):55~58
2陈冬,王彦春,张小波.地震属性分析和应用[J].内蒙古石油化工,2008,20(2):105~108
3陈军,陈岩.地震属性分析在储层预测中的应用[J].石油物探,2001,40(3):94~99
4 Chopra S,Marfurt K J.Seismic attributes-A historicalperspective[J].Geophysics,2005,70(5):3SO~28SO
5 Taner M T,Schuelke J S,Doherty R O,et al.Seismicattributes revisited[J].Expanded Abstracts of the 64thAnnual International SEG Meeting,1994.1 104~1 106
6 Brown A R.Seismic attribute and their classification[J].The Leading Edge,1996,15(10):1 090
7 Chen Quicy,Sidney S.Seismic attribute technology forreservoir forecasting and monitoring[J].The LeadingEdge,1997,16(5):445~456
8王忠.用于储层预测和监测的地震属性技术[J].石油物探译丛,1997,12(6):27~32
9 Liner C,Li C F,Gersztenkorn A,et al.Spice:A newgeneral seismic attribute[J].Expanded Abstracts of72ndAnnual International SEG Meeting,2004.433~436
10 Wu Chao,Chen Mian,Jin Yan.A prediction method ofborehole stability based on seismic attribute technology[J].Journal of Petroleum Science and Engineering,2009,65(3):208~216
11陈遵德.储层地震属性优化方法[M].北京:石油工业出版社,1998.16~18,36~40
12熊晓军,尹成,张白林,等.高阶统计量油气检测方法研究[J].地球物理学报,2004,47(5):920~927
13谢桂生,石玉梅.基于高阶谱的高分辨率处理[J].石油地球物理勘探,2000,35(6):695~702
14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
15 Hotelling H.Analysis of a complex of statistical varia-bles into principal components[J].Journal of Educa-tional Psychology,1933,24(6):417~441
16 Pierre C.Independent Component Analysis:a new con-cept?[J].Signal Processing,1994,36(3):287~314
17 Sch lkopf B,Smola A J,Müller K R.Nonlinear compo-nent analysis as a kernel eigenvalue problem[J].NeuralComputation,1998,10(5):1 299~1 319
18 Roweis S T,Saul L K.Nonlinear dimensionality reduc-tion by locally linear embedding[J].Science,2000,290(5500):2 323~2 326
19 Tenebaum J B.Mapping a manifold of perceptual ob-servations[A].Proceedings of the 1997 conference onAdvances in Neural Information Processing Systems[C].Cambridge:MIT Press,1998.682~688
20吴晓婷,闫德勤.数据降维方法分析与研究[J].计算机应用研究,2009,26(8):2 832~2 835
21刘文岭,牛彦良,李刚.多信息储层预测地震属性提取与有效性分析方法[J].石油物探,2002,41(1):100~103
22 Shlens J.A tutorial on principal component analysis[R].Systems Neurobiology Laboratory,Institute forNonlinear Science.University of California,2005,V2
23 Jutten C,Herault J.Blind separation of sources:An a-daptive algorithm based on a neuromimetic architecture[J].Signal Process,1991,24(1):1~10
24杨金成,张南.独立成分分析技术综述[J].舰船科学技术,2007,29(2):83~86
25刘喜武,刘洪,李幼铭.独立分量分析及其在地震信息处理中应用初探[J].地球物理学进展,2003,18(1):90~96
26吕文彪,尹成,张白林,等.利用独立分量分析法去除地震噪声[J].石油地球物理勘探,2007,42(2):132~136
27吕文彪,尹成,张白林,等.基于独立分量分析的地震属性优化[J].天然气工业,2008,28(9):44~46
28 Li Yandong,Zheng Xiaodong,Li Jinsong.Dimensional-ity reduction and feature extraction from seismic spec-tral decomposed data using independent component a-nalysis[A].SEG.CPS&SEG Beijing 2009 Interna-tional Geophysical Conference&Exposition[C].Bei-jing,2009
29 Bach F R,Jordan M I.Kernel independent componentanalysis[J].Journal of Machine Learning Research,2002,3(7):1~48
30印兴耀,孔国英,张广智.基于核主成分分析的地震属性优化方法及应用[J].石油地球物理勘探,2008,43(2):179~183
31 Gunn S.Support vector machines for classification andregression[R].Image Speech&Intelligent SystemsGroup.University of Southampton,1997
32 Donoho D L,Grimes C E.Hessian eigenmaps:locallylinear embedding techniques for high-dimensional data[J].Proceedings of the National Academy of Arts andSciences,2004,100(10):5 591~5 596
33 Belkin M,Niyogi P.Laplacian Eigenmaps and spectraltechniquesfor embedding and clustering[A].Proceed-ing of Advances in Neural Information Processing Sys-tems[C].Combridge:MIT Press,2001.585~591
34 Zhang Zhenyue,Zha Hongyuan.Principal manifoldsand nonlinear dimensionality reduction via local tan-gent space alignment[J].Journal of Scientific Compu-ting,2004,26(1):313~338
35罗德江.地震属性优化和神经网络在储层预测中的应用[D].四川成都:成都理工大学,2003
36何怀玉.LLE算法在地震属性参数降维中的应用[D].四川成都:成都理工大学,2003
37胡丹.基于改进的SLLE在地震属性优化中的研究与应用[D].四川成都:成都理工大学,2004
38刘诚,郭科,罗德江.地震属性优化及物性反演的一种非线性处理方法[J].地球物理学进展,2007,22(6):1880~1 883
39 Kouropteva O,Okun O,Pietikainen M.Selection of theoptimal parameter value for the locally linear embed-ding algorithm[A].Proceeding of the 1st Int Confer-ence on Fuzzy Systems and Knowledge Discovery[C].Singapore,2002.359~363
40 Torgerson W S.Theory&Methods of Scaling[M].New York:Wiley,1985.1~460
41倪艳.Isomap算法在地震属性参数降维中的应用[D].四川成都:成都理工大学,2004
42龚灏,周仲礼,倪艳.基于Isomap算法的地震属性参数降维处理[J].天然气工业,2008,28(5):38~40
43袁利国,唐武雷.非线性降维算法Isomap与C-Isomap的研究[J].电脑知识与技术,2007,1(4):1 036~1 037
44印兴耀,周静毅.地震属性优化方法综述[J].石油地球物理勘探,2005,40(4):482~489
45陈遵德,朱广生,毛宁波.用遗传算法选择储层预测中的地震特征[M].中国地球物理学会年刊,北京:石油工业出版社,1995
46 Chen Zunde.The Method of rough-set decision analy-sis and its application to pattern recognition of seismicdata[A].In:SEG,EAGE,CPS.SEG/EAGE/CPS In-ternational Geophysical Conference and Exposition[C]Beijing:[s.n.],1998
47唐耀华,张向君,高静怀.基于地震属性优选与支持向量机的油气预测方法[J].石油地球物理勘探,2009,44(1):75~80
48赵加凡,陈小宏.基于灰关联分析与K-L变换的双重属性优化方法[J].石油地球物理勘探,2004,39(6):661~665
49丁峰,尹成,徐峰,等.一种基于灵敏属性分析的相关聚类属性优化方法[J].石油地球物理勘探,2008,43(5):568~572
50郭刚明.地震属性技术的研究与应用——以潍北凹陷灶户构造为例[D].四川南充:西南石油学院,2005
51孙即祥.现代模式识别[M].第2版.北京:高等教育出版社,2008.440~441
52徐群.非线性回归分析的方法研究[D].安徽合肥:合肥工业大学,2009
53李进文,陈朝辉,孙燕,等.多元线性回归模型变量选择的总偏回归平方和法[J].数理医药学杂志,2007,20(2):126~127
54肖思和.三维地震资料储层参数建模方法研究——分形协同克里格法[D].四川成都:成都理工大学,2001
55乐友喜,袁全社.支持向量机方法在储层预测中的应用[J].石油物探,2005,44(4):388~392
2陈冬,王彦春,张小波.地震属性分析和应用[J].内蒙古石油化工,2008,20(2):105~108
3陈军,陈岩.地震属性分析在储层预测中的应用[J].石油物探,2001,40(3):94~99
4 Chopra S,Marfurt K J.Seismic attributes-A historicalperspective[J].Geophysics,2005,70(5):3SO~28SO
5 Taner M T,Schuelke J S,Doherty R O,et al.Seismicattributes revisited[J].Expanded Abstracts of the 64thAnnual International SEG Meeting,1994.1 104~1 106
6 Brown A R.Seismic attribute and their classification[J].The Leading Edge,1996,15(10):1 090
7 Chen Quicy,Sidney S.Seismic attribute technology forreservoir forecasting and monitoring[J].The LeadingEdge,1997,16(5):445~456
8王忠.用于储层预测和监测的地震属性技术[J].石油物探译丛,1997,12(6):27~32
9 Liner C,Li C F,Gersztenkorn A,et al.Spice:A newgeneral seismic attribute[J].Expanded Abstracts of72ndAnnual International SEG Meeting,2004.433~436
10 Wu Chao,Chen Mian,Jin Yan.A prediction method ofborehole stability based on seismic attribute technology[J].Journal of Petroleum Science and Engineering,2009,65(3):208~216
11陈遵德.储层地震属性优化方法[M].北京:石油工业出版社,1998.16~18,36~40
12熊晓军,尹成,张白林,等.高阶统计量油气检测方法研究[J].地球物理学报,2004,47(5):920~927
13谢桂生,石玉梅.基于高阶谱的高分辨率处理[J].石油地球物理勘探,2000,35(6):695~702
14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
15 Hotelling H.Analysis of a complex of statistical varia-bles into principal components[J].Journal of Educa-tional Psychology,1933,24(6):417~441
16 Pierre C.Independent Component Analysis:a new con-cept?[J].Signal Processing,1994,36(3):287~314
17 Sch lkopf B,Smola A J,Müller K R.Nonlinear compo-nent analysis as a kernel eigenvalue problem[J].NeuralComputation,1998,10(5):1 299~1 319
18 Roweis S T,Saul L K.Nonlinear dimensionality reduc-tion by locally linear embedding[J].Science,2000,290(5500):2 323~2 326
19 Tenebaum J B.Mapping a manifold of perceptual ob-servations[A].Proceedings of the 1997 conference onAdvances in Neural Information Processing Systems[C].Cambridge:MIT Press,1998.682~688
20吴晓婷,闫德勤.数据降维方法分析与研究[J].计算机应用研究,2009,26(8):2 832~2 835
21刘文岭,牛彦良,李刚.多信息储层预测地震属性提取与有效性分析方法[J].石油物探,2002,41(1):100~103
22 Shlens J.A tutorial on principal component analysis[R].Systems Neurobiology Laboratory,Institute forNonlinear Science.University of California,2005,V2
23 Jutten C,Herault J.Blind separation of sources:An a-daptive algorithm based on a neuromimetic architecture[J].Signal Process,1991,24(1):1~10
24杨金成,张南.独立成分分析技术综述[J].舰船科学技术,2007,29(2):83~86
25刘喜武,刘洪,李幼铭.独立分量分析及其在地震信息处理中应用初探[J].地球物理学进展,2003,18(1):90~96
26吕文彪,尹成,张白林,等.利用独立分量分析法去除地震噪声[J].石油地球物理勘探,2007,42(2):132~136
27吕文彪,尹成,张白林,等.基于独立分量分析的地震属性优化[J].天然气工业,2008,28(9):44~46
28 Li Yandong,Zheng Xiaodong,Li Jinsong.Dimensional-ity reduction and feature extraction from seismic spec-tral decomposed data using independent component a-nalysis[A].SEG.CPS&SEG Beijing 2009 Interna-tional Geophysical Conference&Exposition[C].Bei-jing,2009
29 Bach F R,Jordan M I.Kernel independent componentanalysis[J].Journal of Machine Learning Research,2002,3(7):1~48
30印兴耀,孔国英,张广智.基于核主成分分析的地震属性优化方法及应用[J].石油地球物理勘探,2008,43(2):179~183
31 Gunn S.Support vector machines for classification andregression[R].Image Speech&Intelligent SystemsGroup.University of Southampton,1997
32 Donoho D L,Grimes C E.Hessian eigenmaps:locallylinear embedding techniques for high-dimensional data[J].Proceedings of the National Academy of Arts andSciences,2004,100(10):5 591~5 596
33 Belkin M,Niyogi P.Laplacian Eigenmaps and spectraltechniquesfor embedding and clustering[A].Proceed-ing of Advances in Neural Information Processing Sys-tems[C].Combridge:MIT Press,2001.585~591
34 Zhang Zhenyue,Zha Hongyuan.Principal manifoldsand nonlinear dimensionality reduction via local tan-gent space alignment[J].Journal of Scientific Compu-ting,2004,26(1):313~338
35罗德江.地震属性优化和神经网络在储层预测中的应用[D].四川成都:成都理工大学,2003
36何怀玉.LLE算法在地震属性参数降维中的应用[D].四川成都:成都理工大学,2003
37胡丹.基于改进的SLLE在地震属性优化中的研究与应用[D].四川成都:成都理工大学,2004
38刘诚,郭科,罗德江.地震属性优化及物性反演的一种非线性处理方法[J].地球物理学进展,2007,22(6):1880~1 883
39 Kouropteva O,Okun O,Pietikainen M.Selection of theoptimal parameter value for the locally linear embed-ding algorithm[A].Proceeding of the 1st Int Confer-ence on Fuzzy Systems and Knowledge Discovery[C].Singapore,2002.359~363
40 Torgerson W S.Theory&Methods of Scaling[M].New York:Wiley,1985.1~460
41倪艳.Isomap算法在地震属性参数降维中的应用[D].四川成都:成都理工大学,2004
42龚灏,周仲礼,倪艳.基于Isomap算法的地震属性参数降维处理[J].天然气工业,2008,28(5):38~40
43袁利国,唐武雷.非线性降维算法Isomap与C-Isomap的研究[J].电脑知识与技术,2007,1(4):1 036~1 037
44印兴耀,周静毅.地震属性优化方法综述[J].石油地球物理勘探,2005,40(4):482~489
45陈遵德,朱广生,毛宁波.用遗传算法选择储层预测中的地震特征[M].中国地球物理学会年刊,北京:石油工业出版社,1995
46 Chen Zunde.The Method of rough-set decision analy-sis and its application to pattern recognition of seismicdata[A].In:SEG,EAGE,CPS.SEG/EAGE/CPS In-ternational Geophysical Conference and Exposition[C]Beijing:[s.n.],1998
47唐耀华,张向君,高静怀.基于地震属性优选与支持向量机的油气预测方法[J].石油地球物理勘探,2009,44(1):75~80
48赵加凡,陈小宏.基于灰关联分析与K-L变换的双重属性优化方法[J].石油地球物理勘探,2004,39(6):661~665
49丁峰,尹成,徐峰,等.一种基于灵敏属性分析的相关聚类属性优化方法[J].石油地球物理勘探,2008,43(5):568~572
50郭刚明.地震属性技术的研究与应用——以潍北凹陷灶户构造为例[D].四川南充:西南石油学院,2005
51孙即祥.现代模式识别[M].第2版.北京:高等教育出版社,2008.440~441
52徐群.非线性回归分析的方法研究[D].安徽合肥:合肥工业大学,2009
53李进文,陈朝辉,孙燕,等.多元线性回归模型变量选择的总偏回归平方和法[J].数理医药学杂志,2007,20(2):126~127
54肖思和.三维地震资料储层参数建模方法研究——分形协同克里格法[D].四川成都:成都理工大学,2001
55乐友喜,袁全社.支持向量机方法在储层预测中的应用[J].石油物探,2005,44(4):388~392
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