Keywords
Managed pressure drilling, Drilling automation, Pressure control, Physics-based drilling flow model, Nonlinear model predictive control
Abstract
When drilling an oil or gas well, well pressures may be controlled using a technology called managed pressure drilling. This technology often relies on model predictive control schemes; however, practical limitations have generally led to the use of simplified controller models that do not optimally handle certain perturbations in the physical system. The present work reports on the first implementation of a highly accurate system model that has been adapted for real-time use in a controller. This real-time high-fidelity model approximates the results of offline high-fidelity models without requiring operation by model experts. The effectiveness of the model is demonstrated through simulation studies of controller behavior under various drilling conditions, including an evaluation of the impact of sparse downhole feedback measurements.
Original Publication Citation
https://www.sciencedirect.com/science/article/abs/pii/S0019057820302238
BYU ScholarsArchive Citation
Park, Junho; Price, Cameron; Pixton, David; Aghito, Manuel; Nybø, Roar; Bjørkevoll, Knut; and Hedengren, John, "Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model" (2020). Faculty Publications. 4167.
https://scholarsarchive.byu.edu/facpub/4167
Document Type
Peer-Reviewed Article
Publication Date
2020-05-27
Permanent URL
http://hdl.lib.byu.edu/1877/6977
Publisher
Elsevier
Language
English
College
Ira A. Fulton College of Engineering and Technology
Department
Chemical Engineering
Copyright Status
© 2009 Elsevier Ltd. All rights reserved. This is the author's submitted version of this article. The definitive version can be found at https://www.sciencedirect.com/science/article/abs/pii/S0019057820302238
Copyright Use Information
http://lib.byu.edu/about/copyright/