Integration of CFD analysis and artificial neural networks for estimation of erosion rate in oil and gas pipelines

Integration of CFD analysis and artificial neural networks for estimation of erosion rate in oil and gas pipelines

Transporting oil and gas via pipelines has been creating countless challenges; sand particles deposit and erode the pipelines wall. Generally, conventional erosion rate prediction models are conservative due to numerous generalizations and theories. Finite Element Analysis via computational fluid dy...

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Bibliographic Details
Main Authors: Nur Tantiyani Ali Othman, Zulfan ADI Putra, Shahrul Azman Zainal Abidin, Fadzrul Izwan M Ali
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
CFD
COMSOL
ANN
Erosion
Symmetry
Oil and gas Industry
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024015421
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