• 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