石油研究（英文）2025，Vol.10Issue(3)：474-484,11.DOI:10.1016/j.ptlrs.2025.02.005
Machine learning approach for modelling and predicting interfacial tension and rheology of crude oil nanoemulsions stabilized by rhamnolipid biosurfactant
Machine learning approach for modelling and predicting interfacial tension and rheology of crude oil nanoemulsions stabilized by rhamnolipid biosurfactant
Andaç Batur Çolak 1Sagheer A.Onaizi2
作者信息
- 1. Department of Information Systems and Technologies,Niğde Ömer Halisdemir University,Niğde,51240,Türkiye
- 2. Department of Chemical Engineering,King Fahd University of Petroleum and Minerals,Dhahran,31216,Saudi Arabia||Interdisciplinary Research Center for Hydrogen and Energy Storage,King Fahd University of Petroleum and Minerals,Dhahran,31216,Saudi Arabia
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摘要
关键词
Crude oil nanoemulsions/Rhamnolipid biosurfactant/Interfacial tension/Rheology/Stability/Machine learningKey words
Crude oil nanoemulsions/Rhamnolipid biosurfactant/Interfacial tension/Rheology/Stability/Machine learning引用本文复制引用
Andaç Batur Çolak,Sagheer A.Onaizi..Machine learning approach for modelling and predicting interfacial tension and rheology of crude oil nanoemulsions stabilized by rhamnolipid biosurfactant[J].石油研究（英文）,2025,10(3):474-484,11.
