天然气地球科学 ›› 2006, Vol. 17 ›› Issue (2): 210–216.doi: 10.11764/j.issn.1672-1926.2006.02.210

• 气田开发 • 上一篇    下一篇

储层随机建模研究进展

尹艳树;,吴胜和   

  1. (中国石油大学资源与信息学院,北京 102249)
  • 收稿日期:2005-08-17 修回日期:2005-10-31 出版日期:2006-04-20 发布日期:2006-04-20
  • 通讯作者: 尹艳树yys6587@126.com. E-mail:yys6587@126.com.
  • 作者简介:尹艳树(1978-),男,湖北仙桃人,博士研究生,从事油藏描述与储层建模研究.
  • 基金资助:

    国家“973”项目“低效气藏的形成机理及地质模式研究”(编号:2001CB209106)资助.

THE PROGRESS OF RESERVOIR STOCHASTIC MODELING

YIN Yan-shu,WU Sheng-he   

  1. (Department of Resource and Information,China University of Petrol eum,Beijing 102249,China)
  • Received:2005-08-17 Revised:2005-10-31 Online:2006-04-20 Published:2006-04-20

摘要:

按照模拟网格不同储层随机建模技术可以分为基于目标的方法和基于象元的方法2类。介绍了基于目标方法中的布尔模拟方法及其改进,这些改进包括井间和井上模拟时采取不同的概率分布、模拟多个岩相单元、模拟具有波动顶底的目标、综合地震数据、采取Gibbs分布的广义示性点过程模拟目标之间相互影响以及采用线模型模拟河道的目标层次建模(Fluvsim)。论述了基于象元方法中的新方法,指出多点地质统计学比传统的两点统计学具有明显优势,分析了多点地质统计学存在的问题及其改进方向(平稳性问题处理、目标体连续性处理、数据样板选择、综合地震信息方面)。最后评述了储层随机建模的发展方向,指出在目标之间相互影响函数的确定、获取反应实际储层结构特征参数、先验概率求取以及随机模拟结果评价方面有待进一步研究。

关键词: 储层随机建模, 布尔方法, 多点地质统计学, 改进

Abstract:

Reservoir st ochastic modeling is a new method for characterizing the heteroigeneties integra ting multi-disciplines knowledge.The mehod can divided into two categories,the  object-based method and pixel-based methods.The boolean algorithm belongs to o bject-based method and its improvements are introduced,including the difference s of the probability distribution on the wells and inter-wells,modeling multipl e rocks,modeling the undulating objects,integrating seismic information,modeling  object which is projected by multiple wells.modeling the interaction of differe nt object with Gibbs distribution and using hierarchical object-based method(Fl uvsim) which is based on line model. The article also intoduces the multiple-po int statistics which belongs to pixel-based methods.The modeling result shows t he multiple-point statistics is more reasonable compareing to the traditional two-point statistics. The multiple-point statis tics also get some progresses in dealing with stationary problem,tcontinuity  of the object,the choice of data template and integration of seismic data. Final ly the author point out that the future work will focus on  three aspects,that i s the function which depicts the interation of different objects,the priori prob ability,the extraction of modeling parameters and the evaluation of realization. 

Key words: Reservoir stochastic modeling, Boolean algorithm, Multiple point statistics, Improvement.

中图分类号: 

  • TE122.2

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