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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
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Series: | Digital Chemical Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772508122000461 |