Deep Learning Models Applied Flowrate Estimation in Offshore Wells with Electric Submersible Pump

To address the persistent challenge of reliable real-time flowrate estimation in complex offshore oil production systems using Electric Submersible Pumps (ESPs), this study proposes a hybrid modeling approach that integrates a first-principles hydrodynamic model with Long Short-Term Memory (LSTM) ne...

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Bibliographic Details

Published in:	Energies
Main Authors:	Josenílson G. Araújo, Hellockston G. Brito, Marcus V. Galvão, Carla Wilza S. P. Maitelli, Adrião D. Doria Neto
Format:	Article
Language:	English
Published:	MDPI AG 2025-10-01
Subjects:	flowrate estimation long short-term memory deep learning electrical submersible pump time-series forecasting oil and gas production
Online Access:	https://www.mdpi.com/1996-1073/18/19/5311