石油与天然气地质 ›› 2004, Vol. 25 ›› Issue (3): 314-318.doi: 10.11743/ogg20040315

• 勘探开发 • 上一篇    下一篇

原油采收率影响因素探讨及油藏综合分类

游秀玲, 张玲, 罗云秀   

  1. 中国石化石油勘探开发研究院,北京 100083
  • 收稿日期:2004-03-22 出版日期:2004-06-25 发布日期:2012-01-16
  • 基金资助:

    中国石化股份公司先导性项目"中国石化新增探明储量采收率标定标准研究"(YTB2001-04)

Factors influencing oil recovery efficiency and comprehensive classification of oil reservoirs

You Xiuling, Zhang Ling, Luo Yunxiu   

  1. Exploration & Production Research Institute, SINOPEC, Beijing
  • Received:2004-03-22 Online:2004-06-25 Published:2012-01-16

PDF (PC)

775

被引次数

55

摘要：

影响采收率的因素大体上可以分为油藏地质特征与开发、采油技术两大类。对于勘探阶段或开发初期新提交探明储量的油藏,影响采收率的因素主要是油藏地质特征。合理的综合油藏分类是采用类比法和经验值取值法的基础。单一因素的油藏分类方案很多,例如据圈闭类型、原油物性、岩石类型、岩石物性的分类以及根据油藏的原始驱动类型分类等等。这些单因素分类方案对于估算采收率都有一定的片面性。利用400多个已知油藏资料,在各类油藏地质特征与采收率的相关统计基础上,确定了油藏综合分类原则与依据。以估算采收率为目的,建立了一套新的综合油藏分类方案。

关键词: 新增探明储量, 可采储量, 采收率, 油藏综合分类

Abstract:

Factors influencing oil recovery efficiency can generally be classified into two large categories: geological features of reservoirs and development and production technologies. As for reservoirs whose reserves have just been proved in exploration stage or in the initial stage of development, geological features of reservoirs are the main factors that influence oil recovery efficiency. Rational and comprehensive classification of oil reservoirs is based on application of analogue method and empirical data. There are various classification methods based on a single factor, such as trap types, physical properties of crude oil,rock types,poroperm characteristics, original reservoir drive mechanism, etc.. None of them, however, is suitable for estimating oil recovery efficiency. Principles of comprehensive reservoir classification are developed on the basis of statistics of geological features and recovery efficiency of each reservoir type by using the available data of more than 400 reservoirs. A new method of comprehensive reservoir classification is presented for estimating recovery efficiency.

Key words: newly increased proven reserves, recoverable reserves, recovery efficiency, comprehensive reservoir classification

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