石油与天然气地质 ›› 2019, Vol. 40 ›› Issue (2): 443-450.doi: 10.11743/ogg20190223

• 方法技术 • 上一篇    

基于生产动态数据的井间储层连通性识别方法

王任一   

  1. 浙江海洋大学 石化与能源工程学院, 浙江 舟山 316022
  • 收稿日期:2018-02-21 修回日期:2018-12-09 出版日期:2019-04-28 发布日期:2019-01-23
  • 第一作者简介:王任一(1968-),男,博士,高级工程师,油气田开发。E-mail:wry2898@163.com。
  • 基金项目:
    国家科技重大专项(2017ZX05072005)。

An approach to recognize interwell reservoir connectivity based on production data

Wang Renyi   

  1. School of Petrochemical & Energy Engineering, Zhejiang Ocean University, Zhoushan, Zhejiang 316022, China
  • Received:2018-02-21 Revised:2018-12-09 Online:2019-04-28 Published:2019-01-23

摘要: 井间储层连通性认识是注水开发油田最重要的基础性研究工作,而目前常用的油藏工程法、数值模拟法和地球化学法,对认识结论可靠性的影响因素较多,尤其对地质资料依赖性较大,且周期长成本高。由注水井、采油井和油水井井间储层组成了一个复杂的非线性注采系统,反映该系统某一侧面的油水井生产动态数据中,隐含着油水井井间储层连通性信息。利用油水井多变量生产动态数据,基于多变量相空间重构方法,可重构这一注采系统动力学特征,通过求取重构注采系统吸引子的关联维,就有可能提取出井间储层连通性信息。使用该方法工作量小,在WR油田应用效果好,得出结论与实际生产相符,且理论清晰算法简单,不需要复杂的数学模型和地质静态模型参数,并可以实现定量解释,为井间储层连通性认识开辟了一条新思路。

关键词: 井间连通性, 生产数据, 相空间重构, 关联维, 定量解释, 储层, 油田注水开发

Abstract: Characterization of interwell reservoir connectivity is the most important and fundamental research work to understand water flooding oilfield.Although the commonly used reservoir engineering,numerical simulation and geochemical methods may improve the reliability of interwell reservoir connectivity characterization,they are heavily dependent on extensive collection of geological data and long period observation of well performance through production cycle,which are either expensive or time consuming.The interaction between injectors,producers,and interwell reservoir is a complex nonlinear dynamic system.The production data of oil and water reflect certain aspect of the system,which may hint into the characters of interwell reservoir connectivity.The multivariable facies distribution reconstruction can be applied to resolve the dynamic characteristics of the system based on the multivariable production data of oil and water wells.Thus the reservoir connectivity can be characterized by calculating correlation dimensions of chaotic attractor of the injection-production dynamic system.The amount of work required by this approach is small,and it works well in the application to WR oilfield,with conclusion being consistent with actual production.The approach is clear and simple both in theory and in algorithm.Without complicated mathematical models or parameters of static geological models,it has initiated a new way to quantitatively characterize interwell reservoir connectivity.

Key words: interwell connectivity, production datum, phase space reconstruction, correlation dimension, quantitative interpretation, reservoir, water flooding oilfield development

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