石油学报 ›› 2009, Vol. 30 ›› Issue (3): 386-390.DOI: 10.7623/syxb2009011

• 地质勘探 • 上一篇    下一篇

地震非线性随机反演方法在陆相薄砂岩储层预测中的应用

黄捍东1,2, 张如伟1,2, 魏世平3   

  1. 1. 中国石油大学油气资源与探测国家重点实验室 北京 102249;
    2. 中国石油大学地球探测与信息技术北京市重点实验室 北京 102249;
    3. 胜利油田孤岛采油厂 山东东营 257200
  • 收稿日期:2008-09-07 修回日期:2008-11-27 出版日期:2009-05-25 发布日期:2010-05-21
  • 作者简介:黄捍东,男,1964年3月生,2000年获成都理工大学博士学位,现为中国石油大学(北京)资源与信息学院副教授,硕士生导师,主要从事复杂油气藏储层地球物理方法的教学和科研工作.E-mail:webhhd@163.com
  • 基金资助:

    国家重点基础研究发展规划(973)项目(2006CB202306);油气资源与探测国家重点实验室开放基金(PRPDX2008-07)联合资助

Research on application of seismic nonlinear random inversion to reservoir prediction in the thin sandstone of continental deposits

HUANG Handong1,2, ZHANG Ruwei1,2, WEI Shiping3   

  1. 1. State Key Laboratory of Petroleum Resource and Prospecting,China University of Petroleum, Beijing 102249, China;
    2. Key Laboratory of Earth Prospecting and Information Technology,Beijing,China University of Petroleum, Beijing 102249,China;
    3. Gudao Oil Production Plant, Sinopec Shengli Oilfield Company, Dongying 257200, China
  • Received:2008-09-07 Revised:2008-11-27 Online:2009-05-25 Published:2010-05-21

摘要:

对于陆相沉积的薄砂岩储层,其地震储层预测的可信度与油气勘探开发的关系十分密切。采用近几年发展起来的地震非线性随机反演方法,以测井、地质信息作为约束条件,通过拾取有效的地震波振幅、相位和频率信息,对胜利油田孤岛南区馆陶组薄砂岩储层进行了钻前预测。对26口新钻井的统计结果表明,预测与实钻吻合。这表明该地震储层预测方法具有较高的可信度,在油气田勘探开发中具有良好的应用前景。

关键词: 陆相薄砂层, 储层预测, 地震非线性随机反演, 地震数据, 测井资料, 应用效果

Abstract:

The seismic prediction creditability of reservoir in the thin sandstone of continental deposits is intimately related with oil-gas exploration and development.The seismic nonlinear random inversion method developed in recent years was used to predict the thin sandstone reservoirs of Guantao Formation in the south part of Gudao area in Shengli Oilfield by taking the logging and geologic data as the constrained conditions and by extracting the effective information of amplitude,phase and frequency of seismic wave.The prediction results of 26 newly drilled wells have matched well with the actual drill situation,which shows the seismic prediction method has good creditability and applicability in the process of oil and gas exploration and development.

Key words: thin sandstone of continental deposits, reservoir prediction, seismic nonlinear random inversion, seismic data, logging, application result

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