Predicting pressure losses in the water-assisted flow of unconventional crude with machine learning

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Predicting pressure losses in the water-assisted flow of unconventional crude with machine learning

Machine learning (ML) is recognized as an efficient prediction tool. However, very few attempts have been made to apply it to model pressure losses in the water-assisted pipeline transportation of unconventional crudes. The performances of conventional ML algorithms for predictions were analyzed in...

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Bibliographic Details
Published in:	Petroleum Science and Technology
Main Author:	Rushd S.; Rahman M.; Arifuzzaman M.; Ali S.A.; Shalabi F.; Aktaruzzaman M.
Format:	Article
Language:	English
Published:	Taylor and Francis Ltd. 2021
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115717461&doi=10.1080%2f10916466.2021.1980012&partnerID=40&md5=e49af5c174986d6efc76595b08c03f78

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