Machine Learning Methods for Herschel–Bulkley Fluids in Annulus: Pressure Drop Predictions and Algorithm Performance Evaluation

Accurate measurement of pressure drop in energy sectors especially oil and gas exploration is a challenging and crucial parameter for optimization of the extraction process. Many empirical and analytical solutions have been developed to anticipate pressure loss for non-Newtonian fluids in concentric...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Abhishek Kumar, Syahrir Ridha, Tarek Ganet, Pandian Vasant, Suhaib Umer Ilyas
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Subjects:	annulus deep learning energy Herschel–Bulkley fluid Non-Newtonian fluids pressure loss
Online Access:	https://www.mdpi.com/2076-3417/10/7/2588