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Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter -- a
  Case Study
v1v2v3 (latest)

Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter -- a Case Study

7 February 2020
M. Hotvedt
B. Grimstad
Lars Imsland
ArXiv (abs)PDFHTML

Papers citing "Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter -- a Case Study"

5 / 5 papers shown
Title
Learning characteristic parameters and dynamics of centrifugal pumps
  under multi-phase flow using physics-informed neural networks
Learning characteristic parameters and dynamics of centrifugal pumps under multi-phase flow using physics-informed neural networks
Felipe de Castro Teixeira Carvalho
Kamaljyoti Nath
A. Serpa
George Karniadakis
81
5
0
04 Oct 2023
Passive learning to address nonstationarity in virtual flow metering
  applications
Passive learning to address nonstationarity in virtual flow metering applications
M. Hotvedt
B. Grimstad
Lars Imsland
69
8
0
07 Feb 2022
When is gray-box modeling advantageous for virtual flow metering?
When is gray-box modeling advantageous for virtual flow metering?
M. Hotvedt
B. Grimstad
D. Ljungquist
Lars Imsland
66
0
0
11 Oct 2021
On gray-box modeling for virtual flow metering
On gray-box modeling for virtual flow metering
M. Hotvedt
B. Grimstad
D. Ljungquist
Lars Imsland
85
13
0
23 Mar 2021
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study
B. Grimstad
M. Hotvedt
Anders T. Sandnes
O. Kolbjørnsen
Lars Imsland
130
24
0
02 Feb 2021
1