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基于模式识别的非线性地震资料解释方法 被引量:1

NON-LINEAR METHOD OF QUAKE DATA EXPLANATION BASED ON PATTERN RECOGNITION
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摘要 常规地震资料解释方法误差较大,已不能满足现代地震勘探解释的需要,这里提出一种基于模式识别的非线性地震资料解释方法,该方法是在地震属性模式分类的基础上,进行非线性降维,然后利用非线性方法反演物性参数。以某工区为例进行计算,结果表明,该方法明显优于常规方法。 The method of common quake data explanation can not satisfy the needs of the modern quake data explaination as them are of high errors.This article brings forward a non-linear method of the quake data explanation based on pattern recognition to forecast physical property parameters.The quake data in some work area is processed with the method and the results indicate that the method is more effective than that with the common methods.
作者 刘诚 郭科
出处 《物探化探计算技术》 CAS CSCD 2008年第1期27-29,89,共3页 Computing Techniques For Geophysical and Geochemical Exploration
关键词 地震勘探 模式分类 非线性降维 非线性反演 quake reconnoite pattern recognision non-linear lower dimension non-linear indication
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  • 1曹辉.应用GM(1,1)模型分析反射波振幅与频率特征[J].石油地球物理勘探,1995,30(1):91-99. 被引量:3
  • 2李庆忠.走向精确勘探的道路[M].石油工业出版社,1994..
  • 3杜世通.地震属性分析与应用技术[R].中国石油天然气集团公司物探重点实验室,..
  • 4徐旺林.沿层属性分析在储层研究中的应用[A]..西北技术研讨会论文集[C].,2000..
  • 5徐旺林.[A]..沿层属性分析在储层研究中的应用[C].西北技术研讨会论文集,2000..
  • 6李庆忠.含油气砂层的频率特征及振幅特征[J].石油地球物理勘探,1987,22(1):1-23.
  • 7苏盛甫.薄储集层的反射特征和定量解释方法[J].石油地球物理勘探,1988,23(4):387-402.
  • 8Berge T B et al.Seismic inversion successfully predicts reservoir,porosity,and gas content in Ibhubesi Field.Orange Basin,South Africa.The Leading Edge,2002,4:338~348.
  • 9Barnes A E.Seismic attributes past, present, and future.Expanded Abstracts of 69th Annual Internat SEG Mtg,1999,892~895
  • 10曹辉.关于地震属性的几点思考[J].石油物探,2000,39:162-166.

共引文献168

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  • 1韩小俊,赵宪生,王建民.波阻抗反演结果的影响因素分析[J].大庆石油地质与开发,2005,24(4):92-93. 被引量:12
  • 2崔炯成,吴媚,李维新,符力耘.高分辨率非线性地震波阻抗反演方法和应用[J].石油物探,2007,46(1):1-12. 被引量:19
  • 3Sen M K, Stoffa P L. Global optimization methods in geophysical inversion[ M]. Amsterdam: Elsevier, 1995.
  • 4Jervis M, Sen M K, Stoffa P L. Prestack migration velocity estimation using nonlinear methods [J]. Geophysics, 1996, 61(1):138- 150.
  • 5Liu Z P, Liu J Q. Seismic-controlled nonlinear extrapolation of well parameters using neural networks [J]. Geophysics, 1998, 63(6) :2035- 2041.
  • 6Hicks G J. Arbitrary source and receiver positioning in finite-difference schemes using Kaiser windowed sine functions[J]. Geophysics, 2002, 67(1):156 166.
  • 7Barnes A E. Weighted average seismic attributes[J]. Geophysics, 2000, 65(1) :275 - 285.
  • 8Smith D N, Ferguson J F. Constrained invemion of seismic refraction data using the controlled random search[ J ]. Geophysics, 2000, 65(5):1622 - 1630.
  • 9Collino F, Tsogka C. Application of the perfectly matched absorbing layer model to the linear elastodynamic problem in anisotropie heterogeneous media [ J ]. Geophysics, 2001, 66(1):294 - 307.
  • 10Carcione J, Herman G C, Kroode A P E. Seismic modeling[J]. Geophysics, 2002, 67(4) :1304- 1325.

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