NDLI: Optimal control solving of polymer flooding based on a hybrid genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Li Shurong Lei Yang Zhang Xiaodong Zhang Qiang
Copyright Year	2010
Description	Author affiliation: College of Information and Control Engineering, China University of Petroleum, Dongying 257061, China (Li Shurong; Lei Yang; Zhang Xiaodong; Zhang Qiang)
Abstract	This paper researches the optimization of injection strategies of polymer flooding in oil recovery. An optimal control problem (OCP) of a distributed parameter system (DPS) is established, in which the functional of performance index is profit maximum and the governing equations are the fluid equations in porous media. The control variables are chosen as the polymer concentrations and the switching time of a slug. The constraint conditions include boundary constraints and other inequality constraints. A hybrid genetic algorithm (HGA), which makes use of the position displacement strategy of the particle swarm optimizer (PSO) as a mutation operation, is applied to solve the OCP. Finally, an example of the OCP for polymer flooding is exposed and the results show that the HGA method is effective and feasible.
Starting Page	5194
Ending Page	5198
File Size	111528
Page Count	5
File Format	PDF
ISBN	9781424462636
e-ISBN	9787894631046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Association of Aut
Subject Keyword	Optimal control Polymer Flooding Polymers Floods Mathematical model Optimal Control Equations Petroleum Optimization Hybrid Genetic Algorithm
Content Type	Text
Resource Type	Article

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