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基于贝叶斯理论的薄层反演方法

A thin bed inversion method based on Bayes theory

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【作者】 黄捍东赵迪任敦占王玉梅

【Author】 Huang Han-dong1,2,Zhao Di3,Ren Dun-zhan4 and Wang Yu-mei5.1.Enhanced Oil Recovering Research Center,China University of Petroleum(Beijing),Beijing 102249,China2.State Key Laboratory of Petroleum Resource and Prospecting,China University of Petroleum(Beijing),Beijing 102249,China3.Deyang Branch,E&P Research Institute SWPB of SINOPEC,Deyang,Sichuan 618000,China4.BGP Inc.,CNPC,Zhuozhou,Hebei 072751,China5.Geophysical Research Institute,Shengli Oilfield,Dongying,Shandong 257022,China

【机构】 中国石油大学提高采收率中心油气资源与探测国家重点实验室(中国石油大学(北京))中石化西南油气分公司勘探开发研究院德阳分院东方地球物理公司胜利油田物探研究院

【摘要】 大量实验表明,地球物理数据符合或近似符合高斯分布,因此可将高斯分布和贝叶斯原理结合并应用于地球物理反演。本文在无噪假设条件下推导出具有明确物理意义的迭代反演算法,基于贝叶斯原理重新推导了迭代反演公式。经3层和12层砂泥岩互层层状介质模型试算与实际应用,其结果均表明,将基于贝叶斯理论的波阻抗反演算法与多道反演思路相结合,具有反演精度高和稳定性好的特点,可明显降低噪声影响,而且运算简单,可有效识别薄层。

【Abstract】 Numerous tests indicate that geophysical data conform to or approximately conform to Gaussian distribution,so it is feasible to combine Gaussian distribution with Bayes theory and apply to geophysical inversion.An iterative inversion algorithm with definite physical significance is derived on the assumption of no noise,and an iterative inversion formula is newly derived based on Bayes theory in this paper.Through test results of 3-layer and 12-layer sand shale interbed models with layered medium and actual applied results,it is found that combining wave impedance inversion algorithm based on Bayes theory with multi-trace inversion idea has features of high precision and improved stability,and that influence of noise can be reduced obviously.The calculation is simple and thin beds can be identified effectively based on inversion results.

【基金】 国家重大专项(2011ZX05006-006、2011ZX05009);国家973项目(2011CB201104)共同资助
  • 【文献出处】 石油地球物理勘探 ,Oil Geophysical Prospecting , 编辑部邮箱 ,2011年06期
  • 【分类号】P631.4
  • 【被引频次】18
  • 【下载频次】481
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