应用非线性地震属性预测煤矿奥陶系灰岩含水性：许瞳煤矿实例(英文)
|
摘要
奥陶系灰岩水是中国北方地区煤矿突水的主要来源。本文介绍了利用熵、最大李氏指数及分形分维等三种非线性地震属性预测奥陶系灰岩含水的方法,分析了这三种属性的提取和应用。以许疃煤矿81、82采区为例,利用上述单属性及多属性综合分析,预测许疃煤矿81、82采区可能的奥陶系灰岩含水区域。实际应用表明,非线性地震属性是奥陶系灰岩含水性预测的有效工具。
Ordovician limestone water is the main source of water inrush in North China coal mines. In this paper, we analyze the characteristic of three kinds of nonlinear seismic attributes, such as the largest lyapunov exponent,fractal dimension and entropy and introduce their calculation methods. Taking the 81st and 82nd coal districts in the Xutuan coal mine as examples, we extract the three seismic attributes based on the 3D prestack migration seismic data of this area, which can display the Ordovician limestone fracture distribution in the mine. We comprehensively analyzed the three nonlinear seismic attributes and compared the results with transient electromagnetic exploration results and determined the possible Ordovician limestone aquosity distribution. This demonstrated that the nonlinear seismic attributes technology is an effective approach to predict the aquosity of Ordovician limestone.
Ordovician limestone water is the main source of water inrush in North China coal mines. In this paper, we analyze the characteristic of three kinds of nonlinear seismic attributes, such as the largest lyapunov exponent,fractal dimension and entropy and introduce their calculation methods. Taking the 81st and 82nd coal districts in the Xutuan coal mine as examples, we extract the three seismic attributes based on the 3D prestack migration seismic data of this area, which can display the Ordovician limestone fracture distribution in the mine. We comprehensively analyzed the three nonlinear seismic attributes and compared the results with transient electromagnetic exploration results and determined the possible Ordovician limestone aquosity distribution. This demonstrated that the nonlinear seismic attributes technology is an effective approach to predict the aquosity of Ordovician limestone.
引文
Chopra,S.,and Marfurt,K.J.,2005,Seismic attributes:a historical perspective:Geophysics,70(5),3SO-28SO.
Chopra,S.,and Marfurt,K.J.,2006a,Curvature attribute applications to3D surface seismic data:CSEG Recorder,31(7),44-56.
Chopra,S.,and Marfurt,K.J.,2006b,Seismic attributes:a promising aid for geological prediction:CSEG Recorder(Special Edition),115-126.
Chopra,S.,and Marfurt,K.J.,2007,Volumetric curvature attributes for fault/fracture characterization:First Break,25,19-30.
Dong,S.H.,Ma,Y.L.,and Zhou,M.,2004,Forwardmodeling of relationship between coal seam thicknessand seismic attribute of amplitude and frequency:Journalof China University of Mining and Technology,33(1),29-32.
Dong,S.H.,2008,Test on elastic anisotropic coefficients of gas coal:Chinese Journal of Geophysics,51(3),254-259.
Ge,L.T.,and Ye,G.J.,2001,Hydrogeology of China Coal:Coal Industry Press,Beijing,China.
Guo,G.M.,2005,The research and application of the seismic attributes-in the region of Zhaohu nose-like structure of Weibei:PhD Thesis,Southwest Petroleum Institute.
Gui,Z.H.,and Han,F.Q.,2004,Wavelet packet-maximum entropy spectrum estimation and its application in turbine’s fault diagnosis:Automation of Electric Power Systems,28(2),62-66.
Grassberger,P.,and Procaccia,I.,1983,Estimation of the Kolmogorov entropy from a chaotic signal:Physical Review Letters,28,2591-2593.
Kantz,H.,1994,A robust method to estimate the maximal Lyapunov exponent of a time series:Physics Letters A,185(1),77-87.
Lawrence,P.,1998,Seismic attributes in the characterization of small-scale reservoir faults in Abqaiq Field:The Leading Edge,17,521-525.
Li,X.R.,and Meng,X.D.,2004,Study on fractured karst zone with seismological method:North China Earthquake Sciences,22(4),11-12.
Liu,J.L.,and Marfurt,K.J.,2007,Instantaneous spectral attributes to detect channels:Geophysics,72,23-31.
Liu,X.B.,Lin,J.C.,and Liu,C.M.,2002,Present conditions and prospects of the researches on seismic reservoir:Acta Geoscientia Sinica,23(1),73-78.
Lue,Y.X.,2001,Studying geological significance of seismic attributions use the model technology:Geophysical and Gochemical Exploration,25(3),191-197.
Rosenstein,M.T.,Collins,J.J.,and De Luca,C.J.,1993,A practical method for calculating largest Lyapunov exponents from small data sets:Physica D,65(1/2),117-133.
Sukmono,S.,2007,Application of multi-attribute analysis in mapping lithology and porosity in the Pematang-Sihapas groups of Central Sumatra Basin,Indonesia:The Leading Edge,26(2),120-131.
Wang,Y.G.,Li,Z.C.,and Shao,Y.,2000,Reservoirs using seismic data predict fracture zone:Petroleum University(Natural Science Edition),24(4),79-82.
Wang,Y.H.,and Wen,S.,1996,China coal mine flood prevention and control.Beijing:Coal Industry Press,China,95-110.
Wu,D.K.,1995,Fractal,chaos and catastrophe theory predict oil and gas and applied research:PhD Thesis,Chengdu University of Technology.
Xu,C.B.,Qian,J.,and Sun,L.X.,2008,Research on seismic interpretation method of karst-fractured zone:Chinese Journal of Engineering Geophysics,5(2),940-151.
Yang,D.Q.,Jie,M.X.,and Wang,Z.,2002,The possibility of detecting water in the Ordovician carbonate with objective seismic exploration:Journal of Coal Society,27(1),36-40.
Yi,C.X.,1995,Nonlinear science and its application in the geosciences:Meteorological Press,Beijing,14-32.
Zhang,X.D.,1996,Time series analysis of the higher-order statistics method:Tsinghua University Press,Beijing,1-80.
Chopra,S.,and Marfurt,K.J.,2006a,Curvature attribute applications to3D surface seismic data:CSEG Recorder,31(7),44-56.
Chopra,S.,and Marfurt,K.J.,2006b,Seismic attributes:a promising aid for geological prediction:CSEG Recorder(Special Edition),115-126.
Chopra,S.,and Marfurt,K.J.,2007,Volumetric curvature attributes for fault/fracture characterization:First Break,25,19-30.
Dong,S.H.,Ma,Y.L.,and Zhou,M.,2004,Forwardmodeling of relationship between coal seam thicknessand seismic attribute of amplitude and frequency:Journalof China University of Mining and Technology,33(1),29-32.
Dong,S.H.,2008,Test on elastic anisotropic coefficients of gas coal:Chinese Journal of Geophysics,51(3),254-259.
Ge,L.T.,and Ye,G.J.,2001,Hydrogeology of China Coal:Coal Industry Press,Beijing,China.
Guo,G.M.,2005,The research and application of the seismic attributes-in the region of Zhaohu nose-like structure of Weibei:PhD Thesis,Southwest Petroleum Institute.
Gui,Z.H.,and Han,F.Q.,2004,Wavelet packet-maximum entropy spectrum estimation and its application in turbine’s fault diagnosis:Automation of Electric Power Systems,28(2),62-66.
Grassberger,P.,and Procaccia,I.,1983,Estimation of the Kolmogorov entropy from a chaotic signal:Physical Review Letters,28,2591-2593.
Kantz,H.,1994,A robust method to estimate the maximal Lyapunov exponent of a time series:Physics Letters A,185(1),77-87.
Lawrence,P.,1998,Seismic attributes in the characterization of small-scale reservoir faults in Abqaiq Field:The Leading Edge,17,521-525.
Li,X.R.,and Meng,X.D.,2004,Study on fractured karst zone with seismological method:North China Earthquake Sciences,22(4),11-12.
Liu,J.L.,and Marfurt,K.J.,2007,Instantaneous spectral attributes to detect channels:Geophysics,72,23-31.
Liu,X.B.,Lin,J.C.,and Liu,C.M.,2002,Present conditions and prospects of the researches on seismic reservoir:Acta Geoscientia Sinica,23(1),73-78.
Lue,Y.X.,2001,Studying geological significance of seismic attributions use the model technology:Geophysical and Gochemical Exploration,25(3),191-197.
Rosenstein,M.T.,Collins,J.J.,and De Luca,C.J.,1993,A practical method for calculating largest Lyapunov exponents from small data sets:Physica D,65(1/2),117-133.
Sukmono,S.,2007,Application of multi-attribute analysis in mapping lithology and porosity in the Pematang-Sihapas groups of Central Sumatra Basin,Indonesia:The Leading Edge,26(2),120-131.
Wang,Y.G.,Li,Z.C.,and Shao,Y.,2000,Reservoirs using seismic data predict fracture zone:Petroleum University(Natural Science Edition),24(4),79-82.
Wang,Y.H.,and Wen,S.,1996,China coal mine flood prevention and control.Beijing:Coal Industry Press,China,95-110.
Wu,D.K.,1995,Fractal,chaos and catastrophe theory predict oil and gas and applied research:PhD Thesis,Chengdu University of Technology.
Xu,C.B.,Qian,J.,and Sun,L.X.,2008,Research on seismic interpretation method of karst-fractured zone:Chinese Journal of Engineering Geophysics,5(2),940-151.
Yang,D.Q.,Jie,M.X.,and Wang,Z.,2002,The possibility of detecting water in the Ordovician carbonate with objective seismic exploration:Journal of Coal Society,27(1),36-40.
Yi,C.X.,1995,Nonlinear science and its application in the geosciences:Meteorological Press,Beijing,14-32.
Zhang,X.D.,1996,Time series analysis of the higher-order statistics method:Tsinghua University Press,Beijing,1-80.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心