石油学报 ›› 2008, Vol. 29 ›› Issue (6): 894-898,902.DOI: 10.7623/syxb200806020

• 石油开发 • 上一篇    下一篇

碱-聚合物复合驱油藏流线数值试井解释模型及其应用

姚军, 吴明录, 胡航   

  1. 中国石油大学石油工程学院 山东东营 257061
  • 收稿日期:2008-01-14 修回日期:2008-06-05 出版日期:2008-11-25 发布日期:2010-05-21
  • 基金资助:
    中国石油天然气集团公司重点科技攻关项目(990507-04-03)“试井分析应用基础研究”部分成果

Streamline numerical well-testing interpretation model for alkaline-polymer combination flooding reservoirs and its application

YAO Jun, WU Minglu, HU Hang   

  1. College of Petroleum Engineering, China University of Petroleum, Dongying 257061, China
  • Received:2008-01-14 Revised:2008-06-05 Online:2008-11-25 Published:2010-05-21

摘要: 将流线法应用于碱-聚合物复合驱油藏,对生产和测试两个阶段分别建立了碱-聚合物复合驱油藏流线数值试井解释模型,该模型中不仅考虑了油藏非均质性、油水两相流、复杂井网、生产历史等因素的影响,还充分考虑了碱-聚合物复合驱过程中各种重要驱油机理和物化现象。采用流线方法求解该模型并用遗传算法进行试井自动拟合解释,得到了油藏参数,形成了适用于中、高含水期碱-聚合物复合驱油藏试井解释新方法。通过求解反五点井网碱-聚合物复合驱油藏典型模型,研究了复合驱油藏中测试井的压力响应特征。编制了流线数值试井解释软件,油田应用实例证明了软件及模型的实用性。

关键词: 碱-聚合物复合驱油藏, 流线法, 数值试井, 解释模型, 遗传算法, 自动拟合, 油藏参数

Abstract: The streamline method was used to study the alkaline-polymer flooding reservoir. The streamline numerical well-testing interpretation models for production phase and testing phase were established respectively in alkaline-polymer combination flooding reservoirs. In the model, the main displacement mechanisms and physicochemical phenomena during alkaline-polymer combination flooding period were taken into consideration as well as the influence of some factors such as reservoir heterogeneity, water-oil two-phase flow, complex well pattern, producing history. The parameters of reservoir were obtained using well-testing auto-matching method based on genetic algorithm. A new well-testing interpretation method was proposed to be suitable for alkaline-polymer combination flooding reservoirs in medium-high water cut stage. The spiracle reservoir model was calculated for an ideal inverted five-spot alkaline-polymer combination flooding reservoir. The pressure response features of well-testing were investigated in alkaline-polymer combination flooding reservoir. Streamline numerical well-testing interpretation software was developed. The practicability of the software and the model was verified by application examples in some oilfields.

Key words: alkaline-polymer combination flooding reservoir, streamline method, numerical well-testing, interpretation model, genetic algorithm, automatic matching, reservoir parameter

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