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
Link To Document :
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