Development of a Prediction Model for Gas Hydrate Formation in Multiphase Pipelines by Artificial Intelligence
A prediction model is developed by means of artificial neural networks (ANNs) to determine the gas hydrate formation kinetics in multiphase gas dominant pipelines with crude oil. Experiments are conducted to determine the rate of formation and reaction kinetics of hydrates formation in multiphase sy...
| Main Authors: | Sayani, J.K.S., Sivabalan, V., Foo, K.S., Pedapati, S.R., Lal, B. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33180 / |
| Published: |
John Wiley and Sons Inc
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131558344&doi=10.1002%2fceat.202100359&partnerID=40&md5=b819ba87c634114e0372e4f1bdea8f1a http://eprints.utp.edu.my/33180/ |
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