Mohamed Elfeel is a principal reservoir engineer and data scientist with the INNOVATION FACTORI HQ team. He has over 17 years of experience in reservoir engineering, with a focus on subsurface modeling, history matching, fractured reservoir simulation, and completion optimization.
In his work, Mohamed combines his domain knowledge with data science and machine learning to support better field development decisions. He has contributed to the development and deployment of ML-Assisted History Matching, Well Placement, and AI Waterflood Insights workflows, delivering projects in various regions worldwide. Mohamed holds a PhD in Petroleum Engineering from Heriot-Watt University.