A review of closed-loop reservoir management

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• 作者：Jian Hou (1) (2)
  Kang Zhou (2)
  Xian-Song Zhang (3)
  Xiao-Dong Kang (3)
  Hai Xie (4)
  
  1. State Key Laboratory of Heavy Oil Processing ; China University of Petroleum ; Qingdao ; 266580 ; Shandong ; China
  2. School of Petroleum Engineering ; China University of Petroleum ; Qingdao ; 266580 ; Shandong ; China
  3. CNOOC Research Institute ; Beijing ; 100027 ; China
  4. ZTE Corporation ; Shenzhen ; 518055 ; Guangdong ; China
  
• 关键词：Closed ; loop reservoir management ; Automatic history matching ; Reservoir production optimization ; Gradient ; based algorithm ; Gradient ; free algorithm ; Artificial intelligence algorithm
• 刊名：Petroleum Science
• 出版年：2015
• 出版时间：March 2015
• 年：2015
• 卷：12
• 期：1
• 页码：114-128
• 全文大小：545 KB
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• 刊物主题：Mineral Resources; Industrial Chemistry/Chemical Engineering; Industrial and Production Engineering; Energy Economics;
• 出版者：Springer Berlin Heidelberg
• ISSN：1995-8226

文摘

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.