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现代地质 ›› 2013, Vol. 27 ›› Issue (3): 703-709.

• 石油地质学 • 上一篇    下一篇

基于地震信息的歧口18-1稀井网区储层预测

郭太现,赵春明   

  1. 中海石油(中国)有限公司 天津分公司300452
  • 收稿日期:2012-12-30 修回日期:2013-03-05 出版日期:2013-06-07 发布日期:2013-06-08
  • 作者简介:郭太现,男,高级工程师, 博士,1962年出生,油气田开发地质专业,主要从事油田开发地质方向的研究工作。Emai: guotx@ cnooc.com.cn。
  • 基金资助:

    国家科技重大专项“大型油气田及煤层气开发”(2011ZX05057)。

Reservoir Prediction Based on Seismic Data Within Wide Well Space Area of Qikou 18-1 Block

GUO Tai-xian,ZHAO Chun-ming   

  1. Tianjin Branch, CNOOC Ltd.,Tianjin300452, China
  • Received:2012-12-30 Revised:2013-03-05 Online:2013-06-07 Published:2013-06-08

摘要:

针对歧口18-1区块沙河街组扇三角洲储层砂体横向变化快的地质特征和稀井网的资料条件,应用工区的三维地震资料,采用地震属性分析、测井约束反演等方法,分层次开展歧口18-1沙河街组储层砂体空间分布的预测,确定了区块优质储层的分布规律。通过提取各种地震属性,在单井地震属性岩性标定的基础上,优选均方根振幅属性作为参数,确定了歧口18-1区块沙河街组扇三角洲有利相带的空间分布;据此,在扇三角洲内部应用测井约束反演技术预测优质储层的分布规律及其内部结构,为断块有利勘探目标的确定和开发方案的制定提供了地质依据。这种精度逐级提高的层次性储层预测技术,尤其适合稀井网、大井距条件下的海上油田优质储层的确定,可有效地降低开发风险。

关键词: 地震属性, 测井约束反演, 稀井网, 储层预测

Abstract:

Shahejie Formation reservoir in Qikou 18-1 Block belongs to fan delta facies, with rapidly changed sand body, and the sparse well data in the block is not enough for the reservoir study of high accuracy. According to this complicated geological feature and limited well data, high quality reservoir sandstone distribution of the block is predicted with 3D seismic data by the method of seismic attributes analysis and seismic inversion controlled with well logs.  On the basis of lithologic calibration with well data, optimum selecting seismic attributes extracted from 3D seismic data, especially RMS, is able to discriminate the thick sandstone from the mudstone, and as a result, the scope of fan delta, which is the favorable sedimentary facies of the block, can be determined with the sandstone distribution. Afterwards, high quality reservoir sandstones within fan delta and its internal architecture can be determined by seismic inversion controlled with well logs, which provides the geological  evidence to make or to adjust the development plan of the block. Practically, it is proved that this set of reservoir prediction technology is comparatively fit for determination of favorable target in offshore oilfield with sparse well net and is useful for risk reduction in development.

Key words: seismic attributes, seismic inversion controlled with well log, sparse well net, reservoir prediction

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