Courses Taught
PE
411
Petroleum Production Engineering
PE
425
Natural Gas Reservoir Engineering
PE
505
Transport Phenomena In Petroleum Engineering
PE
556
Advanced Production Engineering
Selected Publications
- Lizarraga-Garcia, E., Buongiorno, J., Al-Safran, E., and Lakehal, D.: “CFD-informed Unified Closure Relation for the Velocity of Taylor Bubbles,” poster presented at the 24th International Congress of Theoretical and Applied Mechanics, Montreal, Canada, August 2016.
- Al-Safran, E., and Brill, J. 2017. Applied Multiphase Flow in Pipes and Flow Assurance-Oil and Gas Production. Society of Petroleum Engineers (SPE), Richardson, TX., USA (ISBN: 978-1-61399-492-4).
- Al-Safran, E., Ghasemi, M., and Al-Ruhaimani, F.: “Modeling High-Viscosity Two-Phase Flow Pattern Transition in Upward Vertical Flow in Pipes,” Presented in the BHRG Multiphase Production Technology Conference, Cannes, France, June 2019.
- Al-Safran, E., Ghasemi, M., and Al-Ruhaimani, F.: “High-Viscosity Liquid/Gas Flow Pattern Transitions in Upward Vertical Pipe Flow,” SPE 199901-PA, SPE Journal, 25 (03), 1155-1173, June 2020.
- Lizarraga-Garcia, E., Buongiorno, J., and Al-Safran, E.: “Computational Fluid Dynamics (CFD) of Taylor Bubbles in Vertical and Inclined Pipes with Upward and Downward Liquid Flow,” SPE 205373-PA, SPE Journal, 26 (06), 3832-3847, December 2021.
- Al-Safran, E., and Al-Ali, B.: “Modeling Asphaltene Deposition in Vertical Oil Wells,” J. of Petroleum Science and Engineering, 221, 111277, 2023.
- Al-Safran, E. and Shaaban, O.: “Prediction of Slug Length Distribution in Horizontal Large Diameter Gas/Liquid Pipeline System,” J. of Geoenergy Science and Engineering, 240, 212985, 2024.
- Aql, A., Soto-Cortes, G., Al-Safran, E., Pereyra, E., and Sarica, C.: “Experimental Study of Pressure Effect on the Evolution of Slug/Pseudo Slug Flow Characteristics in a Large Diameter Slightly Upward Inclined Pipe,” Int. J. of Multiphase Flow, 195, 105583, 2026.
- Ghasemi, M., Al-Safran, E., and Rasheed, A.: “Flow Pattern Prediction of Gas/Liquid Two-Phase Flow Over a Wide Range of Liquid Viscosity and Inclination Angle Using Machine Learning,” J. of Chem. Eng. Research and Design, 228, 290-300, 2026.