石油学报 ›› 2010, Vol. 31 ›› Issue (1): 78-83.DOI: 10.7623/syxb201001013

• 油田开发 • 上一篇    下一篇

油藏生产优化理论研究

张 凯 1 李 阳 2 姚 军 1 刘均荣 1 闫 霞 1   

  1. 1中国石油大学石油工程学院 山东青岛 266555; 2中国石化股份有限公司油田勘探开发事业部 北京 100029
  • 收稿日期:2009-03-24 修回日期:2009-06-03 出版日期:2010-01-25 发布日期:2010-05-21
  • 通讯作者: 张 凯

Theoretical research on production optimization of oil reservoirs

ZHANG Kai 1 LI Yang 2 YAO Jun 1 LIU Junrong 1 YAN Xia 1   

  • Received:2009-03-24 Revised:2009-06-03 Online:2010-01-25 Published:2010-05-21
  • Contact: ZHANG Kai

摘要:

实现经济高效开发已探明石油资源的途径之一就是立足现有的生产条件,使油藏开发动态实时处于最优状态,这也是智能油田的核心内容之一。将油藏视为一个复杂的动态系统,以油藏开发生产净现值最大化为目标,通过求解描述油藏开发生产的数学模型,实时优化油藏的输入输出控制参数,获取最优的生产方案。鉴于油藏生产优化方法是一个复杂的、大规模优化问题,选用了效率较高的梯度优化算法,利用极大值原理计算所需的梯度,再进行线性搜索,进而优化控制变量。油藏实例进行的分析结果表明,获得的最优生产方案符合油田实际情况,为智能油田体系提供了理论和技术支撑。

关键词: 油田开发, 生产优化方法, 控制参数, 数学模型, 梯度优化算法

Abstract:

One of the pathways to more efficiently and economically exploit the proved reserves is to produce oil in a dynamic real-time optimal state under the existing production conditions, which is one of the cores for the intelligent oilfield. The reservoir is recognized as a complex dynamic system, and the optimal object is to maximize the net present value of production in the reservoir optimization. By solving the mathematical model for describing the reservoir production status to determine the real-time control settings, the optimal production schedule can be obtained. Because dynamic production optimization of reservoir is a large-scale complicated optimization problem, an efficient gradient-based algorithm is used to treat the problem. The control gradients are obtained by the maximum principle firstly, and then the line searching method can determine the optimal control settings of each control step. The analysis on the application of above theory in oil reservoir shows that the optimal production scheme is coincident with the actual demand of oilfield.

Key words: oilfield development, production optimization method, control parameters, mathematical model, gradient-based algorithm