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Proceedings of ESCAPE 35ISSN: 2818-4734
Volume: 4 (2025)
Table of Contents
LAPSE:2025.0336
Published Article
LAPSE:2025.0336
Non-Linear Model Predictive Control for Oil Production in Wells Using Electric Submersible Pumps
Carine Menezes Rebello, Erbet Almeida Costa, Marcos Pellegrini Ribeiro, Marcio Fontana, Leizer Schnitman, Idelfonso Bessa dos Reis Nogueira
June 27, 2025
Abstract
The oil production in wells using electric submersible pumps (ESPs) demands precise control of parameters within safety and efficiency constraints to minimise failures, extend equipment lifespan, and reduce costs. This study proposes a non-linear model predictive control (NMPC) system designed for ESP-lifted wells, leveraging pump frequency and choke valve adjustments to maximise production while adhering to operational limits. Tested on a simulated pilot plant using a first-principles model to predict key variables like flow and liquid column height, the NMPC demonstrated offset-free performance, effective disturbance rejection, and ensured stable, safe, and optimised operations, addressing challenges in nonlinear, constraint-intensive environments.
Record ID
LAPSE:2025.0336
Keywords
ESP, Nonlinear Predictive Control, Oil Wells, Operating envelope
Subject
Process Control
Suggested Citation
Rebello CM, Costa EA, Ribeiro MP, Fontana M, Schnitman L, Nogueira IBDR. Non-Linear Model Predictive Control for Oil Production in Wells Using Electric Submersible Pumps. Systems and Control Transactions 4:1145-1150 (2025) https://doi.org/10.69997/sct.178327
Author Affiliations
Rebello CM: Department of Chemical Engineering, Norwegian University of Science and Technology, Gløshaugen, Trondheim, 7034, Norway
Costa EA: Department of Chemical Engineering, Norwegian University of Science and Technology, Gløshaugen, Trondheim, 7034, Norway
Ribeiro MP: CENPES, Petrobras R&D Center, Av. Horacio ´ Macedo 950, Cid. Universitaria, ´ Ilha do Fundao, ˜ Rio de Janeiro, RJ, Brazil
Fontana M: Department of Electrical and Computer Engineering, Federal University of Bahia, Polytechnic School, R. Prof. Aristídes Novis, 2 -
Schnitman L: Department of Chemical Engineering, Federal University of Bahia, Polytechnic School, R. Prof. Aristídes Novis, 2 - Federação, Salvador, 40210-630, Brazil
Nogueira IBDR: Department of Chemical Engineering, Norwegian University of Science and Technology, Gløshaugen, Trondheim, 7034, Norway
Journal Name
Systems and Control Transactions
Volume
4
First Page
1145
Last Page
1150
Year
2025
Publication Date
2025-07-01
DOI:
https://doi.org/10.69997/sct.178327
Version Comments
Original Submission
Other Meta
PII: 1145-1150-1497-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0336
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References Cited
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