石油学报 ›› 2020, Vol. 41 ›› Issue (12): 1774-1778.DOI: 10.7623/syxb202012027

所属专题: 《石油学报》创刊40周年专辑

• 综述 • 上一篇    下一篇

对油气藏工程研究方法发展趋势的几点认识

计秉玉   

  1. 中国石油化工股份有限公司石油勘探开发研究院 北京 100083
  • 收稿日期:2020-04-02 修回日期:2020-07-27 出版日期:2020-12-25 发布日期:2021-01-06
  • 通讯作者: 计秉玉
  • 作者简介:计秉玉,男,1963年6月生,1983年获长春地质学院学士学位,1999年获中国科学院博士学位,现为中国石油化工集团公司首席专家,主要从事油气田开发研究工作。Email:jiby.syky@sinopec.com
  • 基金资助:

    国家重点研发计划项目(2018YFA0702400)资助。

Some understandings on the development trend in research of oil and gas reservoir engineering methods

Ji Bingyu   

  1. Sinopec Exploration and Production Research Institute, Beijing 100083, China
  • Received:2020-04-02 Revised:2020-07-27 Online:2020-12-25 Published:2021-01-06

摘要:

常用的油气藏工程方法可概括为物质平衡方程、产量递减方程、水驱特征曲线、水驱前缘驱替方程、试井、现代产量递减分析、油气藏数值模拟和产量规划设计优化方法8类,其发展的核心推动力是日趋复杂化的开发对象和持续高效开发的现实需求,以及数学、物理、化学、信息技术和实验手段等学科技术的不断进步。数值模拟方法未来仍为油气藏工程的主流方法,并逐渐向多场、多尺度及地面地下一体化耦合模拟方向发展。分子动力学、LBM等微观、介观流动模拟在油气藏工程中的应用日趋重要,并与传统方法互补,既可揭示开发机理问题,又可为油气藏数值模拟提供参数。解析与半解析方法简单易算、物理意义明确,仍将占据油气藏工程方法的一席之地。另外,伴随大数据与人工智能等新技术的发展,基于数据分析的油气藏工程方法也逐渐成为一个重要方向。

关键词: 油气藏工程, 数值模拟, 解析/半解析方法, 微观流动模拟, 大数据技术

Abstract:

Eight types of the commonly used oil and gas reservoir engineering methods can be summarized as below:material balance equation, production decline equation, waterflood front equation, well testing, modern production decline analysis, numerical simulation, and production planning optimization method. The core impetus is the increasingly complex exploitation targets and the actual needs of sustained and efficient exploitation, as well as the continuous progress of disciplines and techniques involving mathematics, physics, chemistry, information technology, experimental methods,etc. Numerical simulation methods will still be dominant in research of oil and gas reservoir engineering, and will gradually develop in the direction of multi-field, multi-scale, and ground-underground integrated coupled simulation. The application of molecular dynamics, LBM, and micro-and mesoscopic flow simulations in the field of oil and gas reservoir engineering is becoming increasingly important. They are complementary with traditional methods, able to reveal problems in the development mechanism and provide parameters for reservoir numerical simulation. Analytical and semi-analytic methods are simple, easy to calculate, and have clear physical meaning, and will still occupy a place in oil and gas reservoir engineering methods. In addition, with the development of new technologies such as big data and artificial intelligence, reservoir engineering methods based on data analysis have gradually become an important direction.

Key words: oil and gas reservoir engineering, numerical simulation, analytical/semi-analytical method, micro-flow simulation, big data technology

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