Dr.-Ing. Ramez Maher Abdalla

Scientific Staff


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

Social Media

Fields of Responsibility

  • Supervision of bachelor and master work
  • ISSE cooperation for AI application in Petroleum Industry 


  • Application and evaluatuion of artificial intelligence (AI) in mature oilfields.

Fields of Research

  • 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.



Telephone: +49 5323 72 2238
Telefax: +49 5323 72 3146

Consultation hours:
on appointment


Institute of Subsurface Energy Systems
Agricolastraße 10
Building C 21, Room 305
38678 Clausthal-Zellerfeld