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...
| Main Authors: | Kumar, A., Ridha, S., Ganet, T., Vasant, P., Ilyas, S.U. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23126 / |
| Published: |
MDPI AG
2020
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| 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/ |
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