Petroleum Science >2015,??Issue 1:??114-128 DOI: https://doi.org/10.1007/s12182-014-0005-6
A review of closed-loop reservoir management Open?Access
文章信息
作者：Jian Hou,Kang Zhou,Xian-Song Zhang,Xiao-Dong Kang and Hai Xie
作者單位：
State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Qingdao 266580, Shandong, China School of Petroleum Engineering, China University of Petroleum, Qingdao 266580, Shandong, China;School of Petroleum Engineering, China University of Petroleum, Qingdao 266580, Shandong, China;CNOOC Research Institute, Beijing 100027, China;CNOOC Research Institute, Beijing 100027, China;ZTE Corporation, Shenzhen 518055, Guangdong, China
投稿時間：2014-07-13
引用方式：Hou, J., Zhou, K., Zhang, XS. et al. Pet. Sci. (2015) 12: 114. https://doi.org/10.1007/s12182-014-0005-6
文章摘要
The closed-loop reservoir management technique
enables a dynamic and real-time optimal production
schedule under the existing reservoir conditions to be
achieved by adjusting the injection and production strategies.
This is one of the most effective ways to exploit
limited oil reserves more economically and efficiently.
There are two steps in closed-loop reservoir management:
automatic history matching and reservoir production optimization.
Both of the steps are large-scale complicated
optimization problems. This paper gives a general review
of the two basic techniques in closed-loop reservoir management;
summarizes the applications of gradient-based
algorithms, gradient-free algorithms, and artificial intelligence
algorithms; analyzes the characteristics and application
conditions of these optimization methods; and
finally discusses the emphases and directions of future
research on both automatic history matching and reservoir
production optimization.
enables a dynamic and real-time optimal production
schedule under the existing reservoir conditions to be
achieved by adjusting the injection and production strategies.
This is one of the most effective ways to exploit
limited oil reserves more economically and efficiently.
There are two steps in closed-loop reservoir management:
automatic history matching and reservoir production optimization.
Both of the steps are large-scale complicated
optimization problems. This paper gives a general review
of the two basic techniques in closed-loop reservoir management;
summarizes the applications of gradient-based
algorithms, gradient-free algorithms, and artificial intelligence
algorithms; analyzes the characteristics and application
conditions of these optimization methods; and
finally discusses the emphases and directions of future
research on both automatic history matching and reservoir
production optimization.
關鍵詞
-
Closed-loop reservoir management Automatic history matching Reservoir productionoptimization Gradient-based algorithm Gradient-freealgorithm Artificial intelligence algorithm