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...
Saved in:
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
|
Series: | Communications in Science and Technology |
Subjects: | |
Online Access: | https://cst.kipmi.or.id/journal/article/view/1430 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robust integral sliding mode control for pressure management in multi-phase flow systems
by: Nezar M. Alyazidi, et al.
Published: (2025-03-01) -
Learning exactly linearizable deep dynamics models
by: Ryuta Moriyasu, et al.
Published: (2025-12-01) -
Experimental Study on the Effect of Addition Micro Additives Zinc Oxide and Graphite Powder at Biodiesel to Decrease the Pressure Drop of Microchannels
by: Jooned Hendrarsakti, et al.
Published: (2025-01-01) -
Influence of wall waviness on friction and pressure drop in channels
by: K. Vajravelu, et al.
Published: (1981-01-01) -
Mechanistic modelling of water–oxygen bubbly flow in horizontal pipes: Deviation analysis from experimental correlations and performance comparison with CFD
by: Montadhar Guesmi, et al.
Published: (2025-01-01)