DocumentCode
2296211
Title
Dynamic optimization of polymer flooding for high-salinity reservoir based on maximum principle
Author
Lei, Yang ; Li, Shurong ; Zhang, Xiaodong ; Guo, Lanlei
Author_Institution
Coll. of Inf. & Control Eng., China Univ. of Pet. (East China), Qingdao, China
fYear
2012
fDate
6-8 July 2012
Firstpage
2601
Lastpage
2606
Abstract
Polymer flooding for high-salinity reservoir is one of the most important technologies for enhanced oil recovery (EOR). In this paper, 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. The constraint conditions include boundary constraints and other inequality constraints. To cope with this OCP of DPS, the necessary conditions for optimality are obtained through application of Pontryagin´s maximum principle. A gradient method is proposed for the computation of optimal injection strategies. The numerical results of an example for high-salinity reservoir illustrate the effectiveness of the proposed method.
Keywords
distributed parameter systems; fluid dynamics; optimal control; optimisation; performance index; polymers; reservoirs; Pontryagin maximum principle; boundary constraints; control variables; distributed parameter system; dynamic optimization; enhanced oil recovery; fluid equations; governing equations; high-salinity reservoir; inequality constraints; necessary conditions; optimal control problem; optimal injection strategies; optimality; performance index; polymer concentrations; polymer flooding; Equations; Floods; Optimal control; Performance analysis; Polymers; Production; Reservoirs; Optimal control; distributed parameter systems; high-salinity reservoir; maximum principle; polymer flooding;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6358312
Filename
6358312
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