Data-driven modeling approaches for pressure drop prediction in a multi-phase flow system
Accurate prediction of pressure drops in multi-phase flow systems is essential for optimizing processes in industries such as oil and gas, where operational efficiency and safety depend on reliable modeling. Traditional models often need help with the complexities of multi-phase flow dynamics, resul...
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| Main Authors: | Nezar M. Alyazidi, Aiman F. Bawazir, Ala S. AL-Dogai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Komunitas Ilmuwan dan Profesional Muslim Indonesia
2024-12-01
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| Series: | Communications in Science and Technology |
| Subjects: | |
| Online Access: | https://cst.kipmi.or.id/journal/article/view/1430 |
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