Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation

• Main Authors: Kumar, A., Ridha, S., Ganet, T., Vasant, P., Ilyas, S.U.
• Format: Article
• Published: MDPI AG 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083329648&doi=10.3390%2fapp10072588&partnerID=40&md5=162212254b81d0045c6d4ad2b1030b25; http://eprints.utp.edu.my/23126/
• Institution: Universiti Teknologi Petronas

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...