Mohamed A. Abdalla
Software Engineer, Department of Petroleum Engineering
Currently working as a Petroleum Engineering Software Engineer at CPG’s Department of Petroleum Engineering, King Fahd University of Petroleum & Minerals, Dhahran, KSA. Previously, worked as a teaching assistant at the petroleum engineering department, University of Khartoum, Sudan. During master degree, I was involved as a research and teaching assistant. I was also an executive member of the Students’ Society of Petroleum Engineers (SSPE) and University of Khartoum Petroleum Engineering Alumni (UoKPEA).
Educational Qualification
- M.S. in Petroleum engineering [May 2018], King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia.
- B.S. in Petroleum Engineering [October 2012], University of Khartoum, Khartoum, Sudan
Research Interests
- Reservoir Engineering
- Modeling & Optimization
- Artificial Intelligence
- Inflow Performance Relationship IPR
- Hydraulic Fracturing
Selected Publications
- Abdalla, M., Hassan, A., Abdulraheem, A., Elkatatny, S., & Mohamed, A. (2018). SPE / IADC-189390-MS New Technique to Evaluate the Performance of Hydraulically Fractured Horizontal Wells.
- Ahmed, M. E., Abdalla, M. (2018). SPE- 192324- MS Investigating the effect of hydraulic fracturing in the pressure transient response for multilateral wells in dry gas reservoirs.
- Mohamed, A., Abdalla, M., Alnuaim, S., & Fahd, K. (2019). A New Algorithm to Quantify the Productivity of Hydraulically Fractured Horizontal Gas Wells Introduction Reservoir Description and Simulation Model.
Awards & Honors
- A full scholarship for master’s degree at King Fahd University of Petroleum & Minerals, Dhahran, KSA [2015-2018]
Mohamed Attia Elsayed
Software Engineer, Department of Petroleum Engineering
Currently working as a PETE Petroleum Software Engineer at CPG’s Department of Petroleum Engineering, King Fahd University of Petroleum & Minerals, Dhahran, KSA. Previously, working as a Startup Executive, LB, and RA at KFUPM.
Educational Qualification
- M.S., in Petroleum Engineering, KFUPM, Dhahran, Saudi Arabia, 2013
- B.S., in Petroleum Engineering, Suez University, Suez, Egypt, 2009
Research Interests
- Artificial Intelligence
- Production optimization (Inflow Performance Relationship IPR)
- Reservoir Engineering
Selected Publications
- AM Salem, M Attia, A Alsabaa, A Abdelaal, Z Tariq. 2022. Machine Learning Approaches for Compressibility Factor Prediction at High-and Low-Pressure Ranges. Arabian Journal for Science and Engineering 47 (9), 12193-12204
- M Mahmoud, M Attia, H Al-Hashim. 2017. EDTA chelating agent/seawater solution as enhanced oil recovery fluid for sandstone reservoirs. Journal of Petroleum Science and Engineering 152, 275-283
- M Attia, MA Mahmoud. 2015. Defining the Optimum Properties of Chelating Agents to be used as EOR Fluid for Sandstone Reservoirs. SPE Saudi Arabia Section Annual Technical Symposium and Exhibition
- M Attia, MA Mahmoud. 2015. The Impact of Adding High pH Fluid to Sea Water on The Sandstone Rock Charge During EOR Process. SPE Middle East Oil & Gas Show and Conference
- M Attia, MA Mahmoud, HS Al-Hashim, AS Sultan. 2014. Shifting to a new EOR area for sandstone reservoirs with high recovery, No damage, and low cost. SPE EOR Conference at Oil and Gas West Asia
- MA Mahmoud, MA Gadallah. 2013. Modeling of the Change of Rock Petrophysical Properties Due to Sulfur Deposition in Sour Gas Reservoirs. SPE North Africa Technical Conference and Exhibition
- MA Mahmoud, MA Gadallah. 2013. New Insights into Evaluating the Damage due to Calcium Sulfate Scale Precipitation during Low and High Salinity Water Injection. North Africa Technical Conference and Exhibition
- M Attia, MA Mahmoud, A Abdulraheem, SA Al-Neaim. 2013. Evaluation of the pressure drop due to multi phase flow in horizontal pipes using fuzzy logic and neural networks. SPE Middle East Oil and Gas Show and Conference
Awards & Honors
- A full scholarship for a master’s degree at King Fahd University of Petroleum & Minerals, Dhahran, KSA [2011-2013]
Rawan Ahmed Al-Shammari
Software Engineer, Laboratory Technical Support & Services
Rawan graduated from University of Hail with a Bachelor Degree in Software Engineering. She joined the Department of Remote Sensing on November 16th in 2022 as a Programmer and as a part of the Multimedia Team. Passionate about Graphic Design, Editing Videos and a little into 3D Modeling.
Educational Qualification
- B.S. in Software Engineering from University of Hail (2021).
Research Interests
- AI & Machine Learning.
- Remote Sensing.
- VR/AR/MR Technology.
- 3D Modeling.