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  • 标题:Dynamic Real-time Optimization of Reservoir Production
  • 本地全文:下载
  • 作者:Zhang, Kai ; Yao, Jun ; Zhang, Liming
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2011
  • 卷号:6
  • 期号:3
  • 页码:610-617
  • DOI:10.4304/jcp.6.3.610-617
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Water flooding is a common technology of enhanced oil recovery and has been widely used to the world's oil fields. But it is difficult to maintain a uniform displacement of water, which causes the ineffective circulation of injected water. Therefore, the real-time dynamic control strategy is studied to work out development plans scientifically and make better economic profits in this paper. The net present value of crude oil exploitation during a certain period of time is choosen to performance index of the control problem. Hydrodynamic equations of oil, water and gas, which describe the displacement process, are used as governed equations. Meanwhile, the boundary constraints of wells and balance relationship of injection-production are taken into account. Based on the above equations, a control model of oil field development is established. The control vector parameterization method is illustrated in detail to deal with the unconstrained, control constrained and state constrained optimal control problem. Finally, a simulation example is employed to verify the validity of the proposed control algorithm.
  • 关键词:optimal control;reservoir simulation;gradient method;smart field
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