Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks

Flow Regime ◽

Multiphase Flows ◽

Gamma Ray ◽

Volume Fraction ◽

Gamma Ray Attenuation ◽

Precise volume fraction prediction in oil–water–gas multiphase flows by means of gamma-ray attenuation and artificial neural networks using one detector

Measurement ◽

10.1016/j.measurement.2014.01.030 ◽

2014 ◽

Vol 51 ◽

pp. 34-41 ◽

Cited By ~ 59

Author(s):

G.H. Roshani ◽

S.A.H. Feghhi ◽

A. Mahmoudi-Aznaveh ◽

E. Nazemi ◽

A. Adineh-Vand

Keyword(s):

Neural Networks ◽

Multiphase Flows ◽

Gamma Ray ◽

Volume Fraction ◽

Gamma Ray Attenuation ◽

Oil Water ◽

Artificial Neural ◽

Water Gas

Salinity independent volume fraction prediction in annular and stratified (water–gas–oil) multiphase flows using artificial neural networks

Progress in Nuclear Energy ◽

10.1016/j.pnucene.2014.05.004 ◽

2014 ◽

Vol 76 ◽

pp. 17-23 ◽

Cited By ~ 28

Author(s):

César M. Salgado ◽

Luis E.B. Brandão ◽

Cláudio M.N.A. Pereira ◽

William L. Salgado

Keyword(s):

Neural Networks ◽

Multiphase Flows ◽

Volume Fraction ◽

Gas Oil ◽

Artificial Neural ◽

Water Gas

Flow Regime Identification in Gas-Liquid-Pulp Fiber Slurry Flows Based on Pressure Fluctuations Using Artificial Neural Networks

Heat Transfer, Volume 1 ◽

10.1115/imece2003-41822 ◽

2003 ◽

Author(s):

T. Xie ◽

S. M. Ghiaasiaan ◽

S. Karrila

Keyword(s):

Neural Networks ◽

Flow Regime ◽

Pressure Fluctuations ◽

Pulp Fiber ◽

Slurry Flows ◽

Non-invasive on-line two-phase flow regime identification employing artificial neural networks

Annals of Nuclear Energy ◽

10.1016/j.anucene.2008.12.002 ◽

2009 ◽

Vol 36 (4) ◽

pp. 464-469 ◽

Cited By ~ 16

Author(s):

T. Tambouratzis ◽

I. Pázsit

Keyword(s):

Neural Networks ◽

Flow Regime ◽

Two Phase Flow ◽

Phase Flow ◽

Two Phase ◽

Non Invasive ◽

On Line ◽

General regression artificial neural networks for two-phase flow regime identification

2009 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2009.5178869 ◽

2009 ◽

Cited By ~ 2

Author(s):

Tatiana Tambouratzis ◽

Imre Pazsit

Keyword(s):

Neural Networks ◽

Flow Regime ◽

Two Phase Flow ◽

Phase Flow ◽

Two Phase ◽

Artificial Neural ◽

General Regression

Flow Regime Identification in Gas/Liquid/Pulp Fiber Slurry Flows Based on Pressure Fluctuations Using Artificial Neural Networks

Industrial & Engineering Chemistry Research ◽

10.1021/ie0304199 ◽

2003 ◽

Vol 42 (26) ◽

pp. 7017-7024 ◽

Cited By ~ 19

Author(s):

T. Xie ◽

S. M. Ghiaasiaan ◽

S. Karrila

Keyword(s):

Neural Networks ◽

Flow Regime ◽

Pressure Fluctuations ◽

Pulp Fiber ◽

Slurry Flows ◽

Flow regime and volume fraction identification using nuclear techniques, artificial neural networks and computational fluid dynamics

Applied Radiation and Isotopes ◽

10.1016/j.apradiso.2020.109103 ◽

2020 ◽

Vol 159 ◽

pp. 109103 ◽

Cited By ~ 3

Author(s):

Renato R.W. Affonso ◽

Roos S.F. Dam ◽

William L. Salgado ◽

Ademir X. da Silva ◽

César M. Salgado

Keyword(s):

Fluid Dynamics ◽

Neural Networks ◽

Computational Fluid Dynamics ◽

Flow Regime ◽

Volume Fraction ◽

Nuclear Techniques ◽

Determination of the volume fraction in (water-gasoil-air) multiphase flows using a simple and low-cost technique: Artificial neural networks

Physics of Fluids ◽

10.1063/1.5109698 ◽

2019 ◽

Vol 31 (9) ◽

pp. 093301 ◽

Cited By ~ 1

Author(s):

S. Z. Islami rad ◽

R. Gholipour Peyvandi ◽

S. Sadrzadeh

Keyword(s):

Neural Networks ◽

Multiphase Flows ◽

Volume Fraction ◽

Low Cost ◽

Density prediction for petroleum and derivatives by gamma-ray attenuation and artificial neural networks

Applied Radiation and Isotopes ◽

10.1016/j.apradiso.2016.08.001 ◽

2016 ◽

Vol 116 ◽

pp. 143-149 ◽

Cited By ~ 22

Author(s):

C.M. Salgado ◽

L.E.B. Brandão ◽

C.C. Conti ◽

W.L. Salgado

Keyword(s):

Neural Networks ◽

Gamma Ray ◽

Density Prediction ◽

Gamma Ray Attenuation ◽

Mixture and pore volume fraction estimation in Al2O3/SiC ceramic cake using artificial neural networks

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2004.06.012 ◽

2005 ◽

Vol 26 (4) ◽

pp. 305-311 ◽

Cited By ~ 17

Author(s):

Necat Altinkok ◽

Rasit Koker

Keyword(s):

Neural Networks ◽

Pore Volume ◽

Volume Fraction ◽

Pore Volume Fraction ◽

Sic Ceramic ◽