Accurate Flow Regime Classification and Void Fraction Measurement in Two-Phase Flowmeters Using Frequency-Domain Feature Extraction and Neural Networks

Accurate Flow Regime Classification and Void Fraction Measurement in Two-Phase Flowmeters Using Frequency-Domain Feature Extraction and Neural Networks

Two-phase flow is very important in many areas of science, engineering, and industry. Two-phase flow comprising gas and liquid phases is a common occurrence in oil and gas related industries. This study considers three flow regimes, including homogeneous, annular, and stratified regimes ranging from...

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Bibliographic Details
Main Authors: Siavash Hosseini, Abdullah M. Iliyasu, Thangarajah Akilan, Ahmed S. Salama, Ehsan Eftekhari-Zadeh, Kaoru Hirota
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Separations
Subjects:
artificial intelligence
two-phase flows
feature extraction
flow regimes
neural network
petroleum industry
Online Access:https://www.mdpi.com/2297-8739/9/7/160

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https://www.mdpi.com/2297-8739/9/7/160

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