• DocumentCode
    1819652
  • Title

    Fast estimation and ℒ1 adaptive control for bottomhole pressure in managed pressure drilling

  • Author

    Li, Zhiyuan ; Hovakimyan, Naira ; Kaasa, Glenn-Ole

  • Author_Institution
    Dept. of Mech. Sci. & Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2011
  • fDate
    28-30 Sept. 2011
  • Firstpage
    996
  • Lastpage
    1001
  • Abstract
    In managed pressure drilling, there are two main challenges involved. First, the bottomhole pressure and flow rate to be controlled is updated at a low rate, which can be viewed as unmeasured. Second, the drilling process is subject to unknown parameters (e.g., frictions, densities), unmodeled dynamics and noise. To deal with these issues, this paper presents an integrated fast estimation and L1 adaptive control scheme. The estimator provides fast estimation of the bottomhole pressure based on the available measurements. The L1 adaptive controller drives the pressure to the desired value following a reference model. The design is based on a recently developed nonlinear drilling model. The results demonstrate that the L1 adaptive controller has guaranteed performance bounds for both the input and the output signals of the system while using the estimation of the regulated outputs. Simulations that include different operational conditions verify the theoretical findings.
  • Keywords
    adaptive control; control system synthesis; flow control; nonlinear control systems; oil drilling; pressure control; L1 adaptive control; bottomhole pressure control; bottomhole pressure estimation; control design; different operational condition; drilling process; flow rate control; friction; managed pressure drilling; nonlinear drilling model; reference model; unmodeled dynamics; Actuators; Adaptation models; Adaptive systems; Equations; Estimation; Mathematical model; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control (ISIC), 2011 IEEE International Symposium on
  • Conference_Location
    Denver, CO
  • ISSN
    2158-9860
  • Print_ISBN
    978-1-4577-1104-6
  • Electronic_ISBN
    2158-9860
  • Type

    conf

  • DOI
    10.1109/ISIC.2011.6045426
  • Filename
    6045426