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Machine learning-based surrogate correlation for prediction of wax deposition rate in oil and gas pipelines

Kwame Sarkodie Joseph Agyepong Emmanuel Agyei Godfred Arkoh Rhoda Arhin Franklin Ankomah Caspar Daniel Adenutsi Samuel Erzuah

Petroleum2026，Vol.12Issue(2)：P.350-365,16.

Petroleum2026，Vol.12Issue(2)：P.350-365,16.DOI:10.1016/j.petlm.2026.03.002

Machine learning-based surrogate correlation for prediction of wax deposition rate in oil and gas pipelines

Kwame Sarkodie ¹Joseph Agyepong ¹Emmanuel Agyei ²Godfred Arkoh ¹Rhoda Arhin ¹Franklin Ankomah ¹Caspar Daniel Adenutsi ¹Samuel Erzuah¹

作者信息

1. Department of Petroleum Engineering,Kwame Nkrumah University of Science and Technology,Kumasi,Ghana
2. Department of Petroleum and Natural Gas Engineering,New Mexico Institute of Mining and Technology,Socorro,NM,USA
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摘要

关键词

Wax deposition rate/Flow assurance/Surrogate box modeling/Black box models

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能源科技

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Kwame Sarkodie,Joseph Agyepong,Emmanuel Agyei,Godfred Arkoh,Rhoda Arhin,Franklin Ankomah,Caspar Daniel Adenutsi,Samuel Erzuah..Machine learning-based surrogate correlation for prediction of wax deposition rate in oil and gas pipelines[J].Petroleum,2026,12(2):P.350-365,16.

Petroleum

ISSN：2405-6561

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