垦71地区多波属性与流体识别的研究及应用
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摘要
应用地震属性交会技术是流体识别的重要内容,对地层中流体的识别主要通过区分地震属性参数敏感性来实现。为了寻找垦71地区高灵敏度的流体识别因子,首先利用地区模型正演出多属性地震参数,针对多属性参数采用了一种定量交会图技术[1~3],计算平均拟合度和重叠率2个定量参数,再对其进行优化选取,及储层类别进行定量描述,最后应用基于椭圆拟合的流体属性敏感性分析方法,利用垦71地区真实模型进行流体属性可识别行分析。比较优选出高灵敏度的流体识别因子,用自开发软件实现交会作图。
Application of seismic attributes to identify rendezvous technology is an important aspect of fluid on the formation of fluid. For the distinction of the identification, it is mainly distinguished by the parameters of the sensitivity of seismic attributes. In order to find a high sensitivity fluid identification factor in Ken 71 area, first of all, a regional model is used to forward multi-attribute seismic parameters. For the number of the parameters, a quantitative technique crossplot is taken to calculate the average rate of fit and overlap,to optimize the selection of parameters, and to describe the reservoir types quantitatively. At last, the analysis method based on the sensitivity of the fluid fitting ellipticalis is used to take advantage of a real model from Ken 71 for analyzing the fluid attribute. Comparison of optimized high-sensitivity factor of the fluid identification, the crossplot by applying self-developed software is made at the end.
Application of seismic attributes to identify rendezvous technology is an important aspect of fluid on the formation of fluid. For the distinction of the identification, it is mainly distinguished by the parameters of the sensitivity of seismic attributes. In order to find a high sensitivity fluid identification factor in Ken 71 area, first of all, a regional model is used to forward multi-attribute seismic parameters. For the number of the parameters, a quantitative technique crossplot is taken to calculate the average rate of fit and overlap,to optimize the selection of parameters, and to describe the reservoir types quantitatively. At last, the analysis method based on the sensitivity of the fluid fitting ellipticalis is used to take advantage of a real model from Ken 71 for analyzing the fluid attribute. Comparison of optimized high-sensitivity factor of the fluid identification, the crossplot by applying self-developed software is made at the end.
引文
[1]Ebdon D.Statistics in Geography:a practical approach.Oxford:Basil Blackwell,1997.1~240
[2]Dey A K,Rai C.Quantifying uncertainties in AVO forwardmodeling.Geophysics,1994,59(12):1849~1855
[3]John P C,Herbert W S.Principles of AVO crossplotting.TheLeading Eage,1997,16(4):337~344
[4]宁忠华,贺振华,黄德济.基于地震资料的高灵敏度流体识别因子.石油物探,2006,45(3):239~241
[5]孙鹏远,孙建国,卢秀丽.PP波AVO多属性交会图分析.天然气工业,2004,24(2):44~47
[6]陈琦.QT的编程技术及应用.科技信息,2008,33
[2]Dey A K,Rai C.Quantifying uncertainties in AVO forwardmodeling.Geophysics,1994,59(12):1849~1855
[3]John P C,Herbert W S.Principles of AVO crossplotting.TheLeading Eage,1997,16(4):337~344
[4]宁忠华,贺振华,黄德济.基于地震资料的高灵敏度流体识别因子.石油物探,2006,45(3):239~241
[5]孙鹏远,孙建国,卢秀丽.PP波AVO多属性交会图分析.天然气工业,2004,24(2):44~47
[6]陈琦.QT的编程技术及应用.科技信息,2008,33
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