Application of neural network and dual-energy radiation-based detection techniques to measure scale layer thickness in oil pipelines containing a stratified regime of three-phase flow

first_pagesettingsOrder Article Reprints Open AccessArticle Application of Neural Network and Dual-Energy Radiation-Based Detection Techniques to Measure Scale Layer Thickness in Oil Pipelines Containing a Stratified Regime of Three-Phase Flow by Abdulilah Mohammad Mayet 1ORCID,Tzu-Chia Chen 2,3,*OR...

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Autores:

Mayet, Abdulilah
Tzu-Chia, Chen
Ahmad, Ijaz
Tag elDin, Elsayed
Al-Qahtani, Ali Awadh
Igor, Narozhnyy
Grimaldo Guerrero, John William
alhashim, Hala

Tipo de recurso:

Article of investigation

Fecha de publicación:

2022

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/9761

Acceso en línea:

https://hdl.handle.net/11323/9761
https://repositorio.cuc.edu.co/

Palabra clave:

Three-phase flow
Scale layer thickness
Volume fraction independent
MLP neural network

Rights

openAccess

License

Atribución 4.0 Internacional (CC BY 4.0)