
Tel:
+966 (013) 860-1793
Fax:
+966 (013) 860-4447
Email:
mohammed.ahmed2@kfupm.edu.sa
Location:
Bldg. 76, Rm. 2160
Dr. Mohamed Elmuzafar Ahmed
Post-Doc Researcher, Department of Petroleum Engineering
Mohamed Elmuzafar has a Ph.D. in petroleum engineering from KFUPM. He is experienced in Enhanced Oil Recovery (EOR) related research, especially Surfactant polymer applications, starting from fluid evaluation and characterization such as phase behavior, compatibility, rheology, and interfacial tension up to determining the fluid recovery using core flooding as well as using reservoir simulation. For the pore-scale studies, he performed micro-CT imaging, micromodels with a microscope, and Magnetic Resonance Imaging (MRI). Also, he has good skills in performing simulation studies at the field scale with calibrated core scale simulations.
Educational Qualification
- Doctor of Philosophy, Petroleum Engineering, King Fahd University of Petroleum & Minerals, Saudi Arabia, 2023
- Master of Science, Petroleum Engineering, King Fahd University of Petroleum & Minerals, Saudi Arabia, 2018
- Bachelor of Science, Petroleum Engineering, University of Khartoum, Sudan, 2012
Research Interests
- Chemically Enhanced Oil Recovery
- Well testing
- Reservoir Simulation
- Microfluidics
Selected Publications
- Ahmed, M.E., Sultan, A.S., Mahmoud, M. et al. “Investigating the Phase Behavior of Viscoelastic Surfactant with Squalene and Crude Oil Systems at High Temperature” Arab J Sci Eng (2023). https://doi.org/10.1007/s13369-023-07671-6
- Ahmed, M. Elmuzafar, Amjed M. Hassan, Abdullah S. Sultan, and Mohamed Mahmoud “Enhancing the Oil Recovery from Naturally Fractured Reservoirs Using Viscoelastic Surfactant (VES) Flooding: A Field-Scale Simulation” ACS Omega 2022 7 (1), 504-517 DOI: https://doi.org/10.1021/acsomega.1c04900
- Ahmed, M. Elmuzafar, Abdullah S. Sultan, Mohamed Mahmoud, Kamaljit Singh, Muhammad Shahzad Kamal, Shirish Patil, and Mazen Kanj “Evaluation of the Dynamic Interfacial Tension between Viscoelastic Surfactant Solutions and Oil Using Porous Micromodels” Langmuir 2022 38 (20), 6387-6394 DOI: https://doi.org/10.1021/acs.langmuir.2c00469
- Ahmed, M. Elmuzafar, Sultan, A.S., Hassan, A. et al. “Predicting the performance of constant volume depletion tests for gas condensate reservoirs using artificial intelligence techniques.” Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07682-8
- Ahmed, M. Elmuzafar, Sultan, Abdullah, AlSofi, Abdulkareem, and Hasan Al-Hashim. “Designing an Optimum Recipe for SP Flooding in Harsh Carbonate Reservoir Conditions High Temperature High Salinity.” Paper presented at the SPE Conference at Oman Petroleum & Energy Show, Muscat, Oman, March 2022. doi: https://doi.org/10.2118/200246-MS