油气田开发

开发技术对气藏阶段采收率影响的灰色关联分析

  • 周旭红 ,
  • 李军 ,
  • 王延山 ,
  • 赵佳 ,
  • 李德星
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  • 1.中国石油大学(北京)石油工程教育部重点实验室; 2.中国石油化工股份有限公司石油工程技术研究院
杨茜茜,1984 年生,女,中国石油大学(北京)在读硕士研究生,现从事油气田开发工作。地址:(102249)北京市昌平区中国石 油大学石油工程学院。电话:(010)89734340。E-mail:yang_qianliu@yahoo.com.cn

网络出版日期: 2011-02-20

基金资助

国家重点基础研究发展计划“973”项目(编号:2007CB209500)资助

Application of grey relational analysis to confirm influencing factors for gas reservoir recovery

  • ZHOU Xuhong ,
  • LI Jun ,
  • WANG Yanshan ,
  • ZHAO Jia ,
  • LI Dexing
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  • 1. Key Laboratory of Petroleum Engineering, Ministry of Education, China University of Petroleum, Beijing 102249, China; 2. Research Institute of Petroleum Engineering Technology, Sinopec, Beijing 100101, China

Online published: 2011-02-20

摘要

气藏开发阶段采收率与最终采收率密切相关。为了分析气藏生产井数、地层压降、采气速度、产量等开发技术因素对阶段采收率的影响,运用了灰色关联分析方法,通过各种因素的关联度大小来确定不同因素对气藏阶段采收率的影响。在气藏开发过程中,开发技术对气藏阶段采收率的影响比较复杂,适合运用灰色理论进行分析。该文选择无量纲化后具有保序效应的灰色斜率关联度计算方法求解关联度,排出关联序,确定主次影响因素。实例分析结果表明:采用灰色关联分析方法可以对气藏阶段采收率影响因素进行量化分析,该方法原理简单、计算简便、对数据分布类型及变量之间的相关类型无特殊要求,其分析结果可为优化气藏开发技术、实现气藏的高效合理开发提供一定的参考依据。

本文引用格式

周旭红 , 李军 , 王延山 , 赵佳 , 李德星 . 开发技术对气藏阶段采收率影响的灰色关联分析[J]. 岩性油气藏, 2011 , 23(1) : 107 -110 . DOI: 10.3969/j.issn.1673-8926.2011.01.019

Abstract

The stage gas reservoir recovery is closely related to its ultimate recovery. In order to analyze the effects of production wells, formation pressure drop, gas production rate and annual output on the stage recovery, the gray relational analysis method is introduced and applied to confirm the influence of all selected factors. The factor affecting gas reservoir recovery is mainly development technique, and the grey relational analysis theory is a suitable method for it. The grey slope correlation degree method is chosen to compute the correlation degree, make them in sequence, and then determine the primary and secondary influencing factors. Case analysis result shows that the grey relational analysis method can be applied to quantitatively analyze the influencing factors for stage gas reservoir recovery. The method is simple in principle and calculation, and has no special requirements for the types of data distribution and the types of variables. The analysis result provides a certain basis for further optimizing gas reservoir development technologies and realizing advisable and efficient development of the gas reservoir.

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