Major: Energy and Mineral Engineering (Petroleum and Natural Gas Engineering Option)
Hometown: Benin City, Nigeria
Advisor: Hamid Emami-Meybodi
Expected Graduation: 2028
LinkedIn Profile
Osaro Egharevba, a graduate student in petroleum and natural gas engineering, focuses on pore-network and mathematical modeling methodologies to investigate multiphase flow processes in porous media and develop predictive transport property models. This model has broad applicability in energy, climate, and environmental sustainability domains, including enhanced oil recovery, geological CO₂ sequestration, and hydrogen storage.
This summer, Egharevbra interned at DTE Energy in Detroit, Michigan, developing a CO₂ injection nodal analysis software tool for carbon capture and storage (CCS) projects to support safer, more efficient storage by improving estimates of injection capacity, operating pressures, and well design requirements. He believes this summer experience complements his research by giving him a new perspective on similar modeling principles in an industrial setting and helping him better understand how phase behavior, flow dynamics, and reservoir performance integrate into practical engineering tools.
What is your dream job, and how is EME helping you to get closer to it?
My dream job is to work as a subsurface engineer, developing innovative engineering solutions for energy and environmental systems. EME provides advanced training, research opportunities, and interdisciplinary collaboration that bridge fundamental science and real-world applications, bringing me closer to my goal of contributing to sustainable energy development and environmental stewardship through innovative subsurface technologies.
My Internship
My project focused on developing a CO₂ injection nodal analysis software tool that integrates CO₂ phase behavior, reservoir injectivity, and wellbore flow performance to evaluate safe, efficient injection across a range of reservoir and operating conditions. The project also included sensitivity analyses of key design and operational parameters, such as wellhead pressure, tubing size, injection temperature, reservoir pressure, and target injection rate, to quantify their effects on CO₂ injectivity and overall well performance.
The resulting workflow helps determine the wellhead injection pressure required to achieve a specified injection rate while maintaining pressures within operational constraints and regulatory limits associated with EPA Class VI permitting requirements.
For Pennsylvania, the workflow could support the evaluation and design of potential CO₂ storage projects in suitable deep geologic formations by improving early-stage screening of injection performance and operational feasibility
Fun Fact: I actually enjoy reading and learning about history.