Ibukun Makinde
Petroleum Engineering Chemical Engineering (General) Fluid Flow / Transfer Processes Petroleum and Fuel Technology Process Chemistry and Technology Numerical Engineering General Engineering Reservoir Engineering and Simulation Methods Reservoir simulation Hydraulic Fracturing and Reservoir Analysis Enhanced oil recovery Reservoir engineering Hydraulic fracturing Enhanced Oil Recovery Techniques Reservoir modeling Modeling and simulation Simulation modeling Microbial enhanced oil recovery Principal component regression Kernel principal component analysis Principal component analysis Functional principal component analysis Robust principal component analysis Advanced Mathematical Modeling in Engineering Artificial Intelligence Computational Theory and Mathematics Mechanical Engineering Ocean Engineering

Bio

Ibukun Makinde is a petroleum engineer and researcher with a strong focus on reservoir simulation and the performance of liquid-rich shale reservoirs. He earned his B.Sc. and M.Sc. in Chemical Engineering from Mendeleev University of Chemical Technology of Russia, followed by an M.S. and Ph.D. in Chemical Engineering (Petroleum Engineering) from the University of Houston. His work includes influential studies on production forecasting and Gas-Oil Ratio (GOR) behavior in shale volatile oil and liquid-rich shale reservoirs. Dr. Makinde has authored multiple peer-reviewed articles and serves as a reviewer for scientific journals. His research contributions are reflected in an h-index of 5 and over 70 citations.

Educational Journey

University of Houston

PhD in Chemical Engineering (Petroleum Engineering) • Chemical Engineering (Petroleum Engineering)

2016

University of Houston

M.S. in Chemical Engineering (Petroleum Engineering) • Chemical Engineering (Petroleum Engineering)

2014

Mendeleev University of Chemical Technology of Russia

M.Sc. in Chemical Engineering • Chemical Engineering

2011
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Experience

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Editors Role

Reviewer

GJRE

2016 -

Research

Reservoir Simulation Models a Impact on Production Forecasts and Performance of Shale Volatile Oil Reservoirs

Article November 6, 2016

Reservoir simulation is an important tool that can be used to simulate as well as predict production from shale reservoirs. The type of reservoir simulation model used, is significant in this process. Black-oil and compositional simulators can be used for reservoir simulation. Blackoil simulations are easier and less time-consuming than compositional simulations. However, how accurate are black-oil simulation results compared to compositional simulation results? Can we afford to jeopardize the accuracy of production forecasts by using easier and less timeconsuming reservoir simulation methods? Can the results be trusted to some extent? Singlephase and two-phase black-oil simulation results as well as compositional simulation results were analyzed and compared in this article.