Doctoral Student of Petroleum Engineering


Room: 231

Dep. 4311 1000 E.  University Avenue
Laramie, WY 82071




Ph.D. in Petroleum Engineering, University of Wyoming, USA, enrolled.

M.Sc. in Petroleum Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, 2015.

B.Sc. in Petroleum Engineering, Suez Canal University, Egypt, 2011.


Research Interests & Area of Specialization:

  • Reservoir Geomechanics.
  • Applications of Artificial Intelligence.
  • Nanoscale Thermodynamics.


Current Research Project:

Experimental Study of Nanocondensation.


Previous Researches:

Derivation of Geomechanical Parameters to determine In Situ Stress in Arab-D, Hanifa, and Khuff Reservoirs of Abqaiq Field by Center for Petroleum & Minerals, KFUPM, Saudi Arabia, 2015 – 2017.

Fluid Transport Through Porous Media with Applications to Enhanced Oil Recovery, KFUPM, Saudi Arabia, 2012 – 2014.


Work Experience:

Part-Time Consultant at Saudi Aramco, 2015 – 2017.

Consultant Assistant at Egyptian Petroleum Consultant (EPC), Egypt, 2012.

Instructor of Petroleum Engineering Courses with different petroleum institutions and training centers:

  • Teaching Assistant at King Fahd University of Petroleum and Mineral, Saudi Arabia, 2014 – 2017.
  • Canadian Petroleum Services (CPS), Dubai, United Arab Emirates (UAE), 2014 – 2017.
  • AHM Training Group, Fintas, Kuwait, 2014 – 2017.
  • Egyptian Drilling Skills Center (EDS), Cairo, Egypt, 2011 – 2015.
  • Petroleum & Natural Gas Higher Institute of Tech. & Training (PNGIT), KSA, 2015.
  • Teaching Assistant at The American University in Cairo (AUC) , Egypt, 2012.



Alloush, R., Moussa, T., & Issaka, M. B. Automated Well Test Analysis Utilizing Self-Adaptive Differential Evolution Method. Society of Petroleum Engineers, ADIPEC (November 2017)

Alloush, R., Elkatatny, S., Mahmoud, M., & Abdulraheem, Estimation of Geomechanical Failure Parameters from Well Logs Using Artificial Intelligence Techniques, 3rd KOGS (October 2017)

Elkatatny, S., Alloush, R., Tariq, Z., Mahmoud, M., & Abdulraheem, A. Development of a New Correlation for Bubble Point Pressure in Oil Reservoirs using Artificial Intelligence Technique, Society of Petroleum Engineers, doi:10.2118/187977-MS (2017)

Moussa, T., Elkatatny, S., Abdulraheem, A., Mahmoud, M., & Alloush, R., A Hybrid Artificial Intelligence Method to Predict Gas Solubility and Bubble Point Pressure. SPE, doi:10.2118/188102-MS (2017)