Conference article

Model Based Early Kick/Loss Detection and Attenuation with Topside Sensing in Managed Pressure Drilling

Asanthi Jinasena
Department of Energy and Process Engineering, Norwegian University of Science and Technology, Norway

Haavard Holta
Department of Engineering Cybernetics, Norwegian University of Science and Technology, Norway

Morten Hansen Jondahl
Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Norway

Prasanna Welahettige
Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, Norway

Ole Morten Aamo
Department of Engineering Cybernetics, Norwegian University of Science and Technology, Norway

Roshan Sharma
Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Norway

Håkon Viumdal
Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Norway

Bernt Lie
Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Norway

Download articlehttps://doi.org/10.3384/ecp20176236

Published in: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland

Linköping Electronic Conference Proceedings 176:33, p. 236-243

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Published: 2021-03-03

ISBN: 978-91-7929-731-2

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Early kick/loss detection is a crucial part of safe well control, and it plays a major role in the reduction of risk and non-productive time in drilling. In conventional drilling, topside sensing is used for early kick/loss detection. Recently, Venturi flowmeter based online return flow estimation has been introduced for this purpose by the authors. In managed pressure drilling, both topside sensing and bottomside sensing can be used for kick/loss detection. Therefore, a topside return flow estimator with a bottomside well pressure and flow estimator is combined to provide a complete kick/loss detection and estimation scheme for managed pressure drilling systems. This allows improved kick/loss detection. In addition, a closed-loop kick/loss attenuation controller is used to illustrate the estimation scheme.

Keywords

kick loss detection, managed pressure drilling (MPD), return ?ow, adaptive control, UKF

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