ABSTRACT
The effect of equations of state on the performance of compositional grading models to accurately predict compositional variation with depth in petroleum reservoir has been presented. Compositional grading models considered are isothermal model, zero thermal diffusion model, Haase’s thermal diffusion model, and Kempers thermal diffusion model. The performances of these models were simulated based on tuned equations of state. The simulation results were validated with experimental data and the associated error computed as percentage average absolute deviation. The results suggest that selection of suitable equations of state has a significant influence on the performances of the applied compositional grading models.
Acknowledgments
We honestly acknowledge the anonymous reviewers whose corrections and comments have significantly enhanced the quality of this manuscript.
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Notes on contributors
Ikechi Igwe
Ikechi Igwe is a Ph.D student at the School of Energy and Electronic Engineering (Petroleum Engineering), University of Portsmouth, United Kingdom, and a lecturer at the Petroleum Engineering Department, Rivers state University, Port Harcourt, Nigeria. His research interest is focused on reservoir PVT analysis and reservoir modeling and simulation.
Jebraeel Gholinezhad
Jebraeel Gholinezhad obtained his Ph.D in Petroleum Engineering from Heriot-Watt University, Edinburgh, United Kingdom. He is a lecturer at the School of Energy and Electronic Engineering, University of Portsmouth, United Kingdom. His research interest is focused on shale gas reservoir modeling and reservoir fluid studies.
Mohamed Hassan
Mohamed Hassan obtained his Ph.D in Chemical Engineering from Loughborough University, United Kingdom. He is a senior Lecturer and course Leader of Petroleum Engineering, University of Portsmouth, United Kingdom. His research interest is on Petroleum fluids and shale gas processing and economics.