• DocumentCode
    1827359
  • Title

    Nonlinear optimization and control of an Electric Submersible Pump lifted oil field

  • Author

    Sharma, Ritu ; Glemmestad, Bjorn

  • Author_Institution
    Dept. of Electr. Eng., Inf. Technol. & Cybern., Telemark Univ. Coll., Porsgrunn, Norway
  • fYear
    2013
  • fDate
    Aug. 31 2013-Sept. 2 2013
  • Firstpage
    26
  • Lastpage
    31
  • Abstract
    In an Electric Submersible Pump (ESP) lifted oil field, the ESP of each oil well should be operated inside its operating window. The total power consumed by the ESPs in the oil field should be minimized. The speed of the ESPs and the production choke valve opening should be optimally chosen for maximizing the profit from the oil field. At the same time, the capacity of the separator should not be exceeded. In this paper, a nonlinear steady state optimizer is developed. The optimal pump speed and the optimal fluid flow rate through each oil well are controlled by two separate PI controllers. The paper shows that the production choke valve for each oil well has to be always 100% open to maintain the optimal fluid flow rate. The limitation of the optimal control structure for very low values and for very high values of the separator capacity has been discussed.
  • Keywords
    flow control; machine control; nonlinear control systems; nonlinear programming; oil drilling; optimal control; power consumption; profitability; pumps; separation; valves; velocity control; ESP lifted oil field; PI controllers; electric submersible pump lifted oil field; nonlinear control; nonlinear optimization; nonlinear steady state optimizer; oil well; optimal control structure; optimal fluid flow rate control; optimal pump speed control; production choke valve opening; profit maximization; separator capacity; total power consumption; Educational institutions; Fluid flow; MATLAB; Manifolds; Programming; Steady-state; Transportation; control; electric submersible pump; oil production; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-0-9567157-3-9
  • Type

    conf

  • Filename
    6642178