Ahmed Merzoug

Ahmed Merzoug is a PhD student in the Department of Petroleum and Geosystems Engineering at the University of Texas at Austin.

Merzoug’s research focuses on applying generative artificial intelligence to subsurface modeling and data assimilation, specializing in optimization and proxy modeling for unconventional oil and gas systems. His work aims to enhance resource recovery, improve operational efficiency, and streamline computational workflows for subsurface energy systems.

In addition to his academic and research endeavors, he has made significant contributions to the field with more than 25 publications covering unconventional oil and gas optimization, subsurface modeling, and enhanced geothermal systems (EGS). His work on EGS has advanced the understanding and optimization of geothermal resource development, further demonstrating his commitment to innovation in energy sustainability.

Through his academic achievements, research output, and dedication to solving complex energy challenges, he continues to drive technological advancements in energy exploration and production.

He holds a BS and an MS in petroleum engineering from the University of Boumerdes and a master’s in engineering from the University of North Dakota.