Ramez Maher Abdalla

Petroleum Production Systems

Education

• 2018 M.Sc. in Petroleum Engineering thesis was “Automatic Diagnosis of the sucker rod pumping systems using machine learning algorithms”
• 2016 Diploma in Software Engineering, Alexandria, Egypt
• 2013 B.Sc. in Petroleum Engineering. Suez, Egypt

Working Experience

• 2021, Data Scientist and Petroleum Engineer for Datagration, USA
• 2019, 2021 Teaching Assistant at the American University in Cairo, Egypt
• 2019, 2020 Data Scientist and Petroleum Engineer for myrconn solutions, Austria
• 2018, 2019 Assistant Lecturer at Alexandria Institute of Engineering and Technology, Egypt
• 2015, 2016 Trainee software developer in the Institute of Information Technology, Egypt

• LinkedIn
• Researchgate

• Betreuung von Bachelor- und Masterarbeiten
• Zusammenarbeit mit dem ISSE für KI-Anwendungen in der Öl-Industrie

• Der Einsatzmöglichkeiten und Mehrwertbestimmung künstlicher Intelligenz (KI) in maturen Ölfeldern

• Simulation of multiphase flow through pipelines
• Data science and machine leaning applications in the oilfield
• Predictive maintenance of Artificial lift systems

• Directional Drilling (ITE)
• Petroleum production (AUC)

• Abdalla, Ramez, El Ela, Mahmoud Abu, and El-Banbi, Ahmed. Identification of Downhole in Sucker Rod Pumped Wells Using Deep Neural Networks and Genetic Algorithms, SPE Prod & Oper 35 (2020): 435–447. doi: https://doi.org/10.2118/200494-PA.
• Noshi, C.I., Abdalla, R.M., Rizk, M. et al. 2019. An Intelligent Data-Driven Approach for Production Prediction. Presented at the Technology Conference offshore, Houston, Texas. OTC-29243-MS.