A petroleum engineer and data scientist, Prosper Nekekpemi, recently completed a research which explores how AI-driven models can enhance energy efficiency, improve oil recovery methods, and unlock new potentials in geothermal energy.
The graduate with dual master’s degrees in Petroleum Engineering and Data Science from the University of Louisiana at Lafayette, USA, is set to ease the global demand for cleaner and more efficient energy.
Nekekpemi, in a statement sent to Society Plus, emphasised that AI has become a key factor in solving some of the toughest challenges in the energy industry.
“AI and machine learning are transforming how we optimise energy production and consumption. My focus has been to create intelligent models that predict crucial parameters, like the bubble-point pressure of crude oil, which can lead to significant cost savings and energy efficiency,” he said.
“His work has not only gained international recognition but has also been published in respected journals and presented at major conferences like the Offshore Technology Conference, 2024 and the Stanford Geothermal Workshop, 2024.”
In addition to his research, Nekekpemi has served as Secretary General of the SPE Student Chapter at his university, and was a speaker in the SPE Ambassador Lecture Program, where he mentored aspiring engineers.