Professor and Chair
Department of Petroleum and Energy Engineering


Brief Biography

Ahmed El-Banbi is a professor (tenured) of Petroleum Engineering and chair of the department at the American University in Cairo (AUC). He has more than 25 years of diversified international experience in reservoir and petroleum engineering. Prior to joining AUC, Dr. El-Banbi was a professor of Petroleum Engineering at Cairo University. Over his career, he worked as an engineer, manager, trainer and a technology developer.

El-Banbi spent twelve years with Schlumberger where he held a variety of technical and managerial positions in five countries. He has considerable experience in managing multi-disciplinary teams and performing integrated reservoir studies. Previously, he had shorter assignments with a major oil company and a consulting company in addition to academic research and teaching experience. He authored and co-authored more than eighty technical papers, two book chapters, one recent book in PVT, and holds one US patent. He has been on numerous SPE committees, program chair for the North Africa Technical Conference and Exhibition, and technical reviewer for the SPE Reservoir Engineering and Evaluation Journal and other journals. El-Banbi holds BS and MS degrees from Cairo University, and an MS and PhD degrees from Texas University; all in petroleum engineering.

      • El-Banbi, Ahmed H., Alzahaby, A., and El-Maraghi, A.: PVT Property Correlations, Selection, and Estimation, Elsevier, Gulf Publishing Co. ISBN: 9780128125724 (April 2018). https://www.elsevier.com/books/pvt-property-correlations/el-banbi/978-0-12-812572-4
      • Sallam, M. and El-Banbi, Ahmed H. (2018). Analysis of Multi-Layered Commingled and Compartmentalized Gas Reservoirs. J. Petrol Explor Prod Technol, Springer, (March 2018), Vol. 8, https://doi.org/10.1007/s13202-018-0454-3
      • Abd El Moniem, M. and El-Banbi, Ahmed H. (2018). Development of an Expert System for Selection of Multiphase Flow Correlations. J. Petrol Explor Prod Technol, Springer, Vol. 8, pp. 1-13, (Feb. 2018), https://doi.org/10.1007/s13202-018-0442-7
      • Nagib, M., Burns, A., Hassanpour, A., and El-Banbi, Ahmed H. (2017). Application of Streamline Simulation to Gas Displacement Processes. Int. Jnl. of Multiphysics, Vol. 11. Number 4, pp. 327-348. (December 2017)
      • Abdelkhalek M.S., El-Banbi, Ahmed H., and Sayyouh, M.H. (2017). Analytical Decline Curve Analysis Model for Water Drive Gas Reservoirs. Paper MS. No. ENVIRONSCI-17-473, Journal of Petroleum & Environmental Biotechnology, Vol. 8, issue 5, pp. 343, (Oct. 2017)
      • Shams, M., El-Banbi, Ahmed H., and Sayyouh, M.H.: “A Comparative Study of Experimental Design Techniques in Assisted History Matching,” paper SPE 183679 presented at the SPE Middle East Oil & Gas Show and Conference held in Manama, Bahrain, 6-9 March 2017
      • Mahran, Shahenda M. and El-Banbi, Ahmed H.: “New Pseudo-Pressure and Pseudo-Time Functions for Multiphase Flow,” paper SPE 181529 presented at the 2016 Annual Technical Conference and Exhibition, Dubai, UAE, September 26-28, 2016
      • Tarek, M. and El-Banbi, Ahmed H.: “Comprehensive Investigation of Effects of Nano-Fluid Mixtures to Enhance Oil Recovery,” paper SPE 175835 presented at the 2015 North Africa Technical Conference and Exhibition, Cairo, Egypt, September 14-16, 2015
      • Al-Gathe, Abdelrigeeb A, Abd-El Fattah, K.A., El-Banbi, Ahmed H. and El-Metwally, K.A. (2015). A Hybrid Neuro-Fuzzy Approach for Black Oil Viscosity Prediction. International Journal of Innovation and Applied Studies, ISSN 2028-9324, Vol. 13, No. 4, pp. 946–957 (December 2015)
      • Fattah, K.A., Elias, M., El-Banbi, Ahmed H., and El-Tayeb Sayed. (2014). New Inflow Performance Relationship for Solution-Gas Drive Oil Reservoirs. Journal of Petroleum Science and Engineering, Vol. 122, 280–289
    Research Interest
    • Applied Reservoir Engineering
    • Reservoir Simulation
    • Applications of ANN and AI in the Petroleum Industry
    • Multiphase Flow in Pipes
    • Nano-Fluids and Enhanced Oil Recovery
    • PVT and EOS Modeling