Applying Data Mining and Artificial Intelligence Techniques for High Precision Measuring of the Two-Phase Flow’s Characteristics Independent of the Pipe’s Scale Layer

Applying Data Mining and Artificial Intelligence Techniques for High Precision Measuring of the Two-Phase Flow’s Characteristics Independent of the Pipe’s Scale Layer

Scale formation inside oil and gas pipelines is always one of the main threats to the efficiency of equipment and their depreciation. In this study, an artificial intelligence method method is presented to provide the flow regime and volume percentage of a two-phase flow while considering the presen...

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Bibliographic Details
Main Authors: Abdulilah Mohammad Mayet, Ahmed S. Salama, Seyed Mehdi Alizadeh, Slavko Nesic, John William Grimaldo Guerrero, Ehsan Eftekhari-Zadeh, Ehsan Nazemi, Abdullah M. Iliyasu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Electronics
Subjects:
pipeline’s scale
RBF neural network
two-phase flow
oil and gas
artificial intelligence
Online Access:https://www.mdpi.com/2079-9292/11/3/459

Internet

https://www.mdpi.com/2079-9292/11/3/459

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