A Physics-Informed Neural Networks (PINN) oriented approach to flow metering in oil wells: an ESP lifted oil well system as a case study

A virtual flow meter (VFM) is an interesting and growing method to replace or support expensive and high-maintenance dependent physical flow rate sensors in oil and gas production systems. This paper presents a new use of Physics-Informed Neural Networks (PINN) as a hybrid virtual sensor to be used...

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Bibliographic Details
Main Authors: Taniel S. Franklin, Leonardo S. Souza, Raony M. Fontes, Márcio A.F. Martins
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Digital Chemical Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772508122000461