• DocumentCode
    1819374
  • Title

    Adaptive estimation of downhole pressure for Managed Pressure Drilling operations

  • Author

    Stamnes, Øyvind Nistad ; Kaasa, Glenn-Ole ; Aamo, Ole Morten

  • Author_Institution
    Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • fYear
    2011
  • fDate
    28-30 Sept. 2011
  • Firstpage
    989
  • Lastpage
    995
  • Abstract
    The objective of Managed Pressure Drilling (MPD) is to enable precise control of the downhole pressure during drilling and completion operations. An essential part of an automated MPD control system is the downhole pressure estimator, usually referred to as the hydraulic model, which in most cases is the limiting factor for achievable accuracy of the system. In this paper we present a new design of an adaptive observer for online estimation of the downhole pressure in the well. Unlike conventional hydraulic models, which are based on complex partial differential equations, the adaptive observer is based on a simplified lumped model of ordinary differential equations, combined with online adaptation that tunes uncertain model parameters utilizing topside measurements. We demonstrate that the novell adaptive observer design captures the important hydraulics of MPD operations with high accuracy, and fundamentally improves the convergence rate of the parameter estimates by using delayed observers. The results are demonstrated on field data from an offshore MPD operation.
  • Keywords
    adaptive control; control system synthesis; convergence; delay systems; differential equations; hydraulic control equipment; observers; oil drilling; parameter estimation; adaptive estimation; adaptive observer design; automated managed pressure drilling control system; completion operation; convergence rate; delayed observers; downhole pressure estimator; hydraulic model; offshore managed pressure drilling operation; online adaptation; ordinary differential equation; parameter estimation; simplified lumped model; topside measurement; Accuracy; Adaptation models; Friction; Inductors; Mathematical model; Observers; Partial differential equations;
  • 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.2011.6045412
  • Filename
    6045412