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地震相控非线性随机反演研究与应用
引用本文:黄捍东,罗群,付艳,王保华. 地震相控非线性随机反演研究与应用[J]. 石油地球物理勘探, 2007, 42(6): 698-698
作者姓名:黄捍东  罗群  付艳  王保华
作者单位:中国石油大学(北京)CNPC物探重点实验室,中国石油大学(北京)CNPC物探重点实验室,胜利油田地质科学研究院,华北油田采油四厂 北京市昌平区中国石油大学资信学院地球物理所,102249
基金项目:国家973项目“中国西部典型叠合盆地油气成藏机制与分布规律”(2006CB202306),国家863项目“深水海域油气与天然气水合物资源勘探开发关键技术”(2006AA09A101-0103)资助
摘    要: 在地震相模型控制下,通过原始数据将各个单一反演问题转化为一个联合反演问题,可降低反演在描述参数几何形态时的单个反演问题的自由度,从本质上提高地球物理反演的效果。本文在计算过程中采用了非线性随机反演算法,能有效提高地震资料的分辨率,并充分考虑地质条件的随机特性,使反演结果更符合实际地质情况。在胜利、中原油田等地区的储层预测中,应用本文方法均取得了良好的效果,为岩性油气藏勘探提供了可靠基础数据。

关 键 词:非线性随机反演  地震相  沉积相  地震数据  测井数据  复杂油气藏
收稿时间:2007-03-05
修稿时间:2007-07-13

Study and application of seismic phase-controlled non-linear random inversion
Huang Han-dong,Luo Qun,Fu Yan and Wang Bao-hua.Geophysical Institute,College of Resource and Information,China University of Petroleum,Changping District,Beijing City,,China. Study and application of seismic phase-controlled non-linear random inversion[J]. Oil Geophysical Prospecting, 2007, 42(6): 698-698
Authors:Huang Han-dong  Luo Qun  Fu Yan  Wang Bao-hua.Geophysical Institute  College of Resource  Information  China University of Petroleum  Changping District  Beijing City    China
Affiliation:Huang Han-dong,Luo Qun,Fu Yan and Wang Bao-hua.Geophysical Institute,College of Resource and Information,China University of Petroleum,Changping District,Beijing City,102249,China
Abstract:Under the control of seismic phase model and transforming the single inversion issue into a combining inversion issue through raw data,we can improve the effects of geophysical inversions in nature.In computation,the paper used non-linear random algorithm,effectively improving the resolution of seismic data and fully considering the random character of geologic conditions,which made the inverted results more conform to practical geologic situations.In reservoir prediction in Shengli and Zhongyuan Oilfields,the application of the method achieved good results,providing reliable basic data for lithologic oil/gas reservoir prospecting.
Keywords:non-linear random inversion  seismic phase  sedimentary facies  seismic data  logging data  complex reservoir
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