• DocumentCode
    2639544
  • Title

    Generalized Predictive Control applied to intelligent production of an oil well

  • Author

    Qing, Yang ; Davies, David

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Southwest Pet. Univ., Chengdu, China
  • fYear
    2011
  • fDate
    21-23 June 2011
  • Firstpage
    2033
  • Lastpage
    2038
  • Abstract
    The implementation of intelligent well technology into the petroleum production industry provides, for the first time, the opportunity to apply advanced control algorithms at the well or reservoir zone level. An “Intelligent” or “Smart” well is a well equipped with multiple, downhole chokes or Inflow Control Valves (ICVs) as well as downhole, real-time, data measurements of, for example, pressure, temperature and flow rate at a specific point within the well. This paper applies Generalized Predictive Control (GPC) to the ICVs for automatic regulation of the production rate or the pressure at a specified value within the flow system. A multi-zone, horizontal, intelligent well case study shows that the GPC works efficiently. The robustness of the technique was illustrated when noise and/or outliers were introduced into the output data.
  • Keywords
    control engineering computing; knowledge based systems; oil technology; petroleum industry; predictive control; production engineering computing; generalized predictive control; inflow control valves; intelligent production; intelligent well technology; oil well; petroleum production industry; smart well; Fluid flow; Inductors; Mathematical model; Noise; Predictive models; Production; Reservoirs; formatting; insert; style; styling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    pending
  • Print_ISBN
    978-1-4244-8754-7
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/ICIEA.2011.5975927
  • Filename
    5975927