NDLI: Adaptive estimation of downhole pressure for Managed Pressure Drilling operations

Content Provider	IEEE Xplore Digital Library
Author	Stamnes, O.N. Kaasa, G.-O. Aamo, O.M.
Copyright Year	2011
Description	Author affiliation: Department of Intelligent Drilling, Statoil Research Centre, NO-3908 Porsgrunn, Norway (Kaasa, G.-O.) \|\| Department of Engineering Cybernetics, Norwegian University of Science and Technology, Norway (Stamnes, O.N.; Aamo, O.M.)
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 estimaties by using delayed observers. The results are demonstrated on field data from an offshore MPD operation.
Starting Page	989
Ending Page	995
File Size	417194
Page Count	7
File Format	PDF
ISBN	9781457711046
ISSN	21589879
e-ISBN	9781457711039
DOI	10.1109/ISIC.2011.6045412
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Observers Inductors Adaptation models Mathematical model Friction Partial differential equations Accuracy
Content Type	Text
Resource Type	Article

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