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Dr. Eric Thompson Brantson

etbrantson@umat.edu.gh


Position

Department

Petroleum and Natural Gas Engineering

Research Interest

1. Reservoir Modeling and Simulation 2. Enhanced Oil Recovery 3. Computational Fluid Dynamics 4. Software Development in Petroleum Engineering 5. Application and development of Artificial Intelligence Techniques in Petroleum




  1. Brantson, E. T., Ju, B., Ziggah, Y. Y., Akwensi, P. H., Sun, Y., Wu, D., & Addo, B. J. (2019), "Forecasting of Horizontal Gas Well Production Decline in Unconventional Reservoirs using Productivity, Soft Computing and Swarm Intelligence Models.", Natural Resources Research, , Vol 28, No 3, , pp717-756,

  2. Nannan Liu, Binshan Ju, Yong Yang, Eric Thompson Brantson, Jian Wang, Yapeng Tian (2019), "Experimental study of different factors on dynamic characteristics of dispersed bubbles rising motion behavior in a liquid-saturated porous media.", Journal of Petroleum Science and Engineering, , ,

  3. Abraham, A. B., Evans, A. B., and Thompson, B. E. (2019), "Analysis of Spatial Distribution Pattern of Reservoir Petrophysical Properties for Horizontal Well Performance Evaluation-A Case Study of Reservoir X.", The Open Petroleum Engineering Journal, , Vol 12, No 1. ,

  4. Gyan, P. S., Xie, C., Brantson, E. T., and Atuahene, S. (2019), "Computer modeling and simulation for undersaturated primary drive recovery mechanism. ", Advances in Mechanical Engineering, , Vol 11, No. 6,,

  5. Liu, N., Ju, B., Yang, Y., Brantson, E. T., & Meng, S. (2019), "A novel method of bidirectional displacement with artificial nitrogen gas cap and edge water for enhanced oil recovery: Experimental and simulation approaches.", Energy Exploration & Exploitation,, ,

  6. Brantson, E.T., Ju, B., Omisore, B.O., Wu, D., Aphu, E. S. and Liu, N. (2018), "Development of Machine Learning Predictive Models for History Matching Tight Gas Carbonate Reservoir Production Profiles, ", Journal of Geophysics and Engineering,, Vol. 15, No. 5, , pp. 22-35,

  7. Brantson, E. T., Ju, B. and Wu, D. (2018), " Numerical Simulation of Viscous Fingering and Flow Channeling Phenomena in Perturbed Stochastic Fields: Finite Volume Approach with Tracer Injection Tests.", Arabian Journal for Science and Engineering,, Vol. 43, No. 11, , pp. 1-24.

  8. Brantson, E. T., Ju, B., Wu, D. and Gyan, P. S. (2018), " Stochastic porous media modeling and high-resolution schemes for numerical simulation of subsurface immiscible fluid flow transport.", Acta Geophysica, , Vol. 66, No. 3,, pp. 1-24,

  9. Aphu, E.S., Brantson, E.T., Addo B. J. and Akunda, D. (2018), "Development of Finite Difference Explicit and Implicit Numerical Reservoir Simulator for Modelling Single Phase Flow in Porous", Media, Earth Sciences, , Vol. 7, No. 6, , pp. 242-259,

  10. Ju, B., Yang, Y., Brantson, E.T. and Chi, J. (2017), "A numerical simulator developed for modeling permeability control for enhanced oil recovery,", , Journal of Petroleum Science and Engineering,, Vol.159, , pp. 360-375,

  11. Wu, D., Ju, B., Wu, S., Brantson, E. T., Fu, Y., & Lei, Z. (2017), " Investigation of productivity decline in inter-salt argillaceous dolomite reservoir due to formation damage and threshold pressure gradient: Laboratory, mathematical modeling and application", Energy Exploration & Exploitation,, Vol. 35, No.1,, pp. 33-53.

  12. Wu, D., Ju, B. and Brantson, E. T. (2016), " Investigation of productivity decline in tight gas wells due to formation damage and Non-Darcy effect: Laboratory, mathematical modeling and application, ", Journal of Natural Gas Science and Engineering, , Vol. 34, , pp. 779-791.

  13. Wu, D., Ju, B., Chen, X., Fu, Y. and Brantson, E. T. (2016), "Experimental evaluation of different strategies for improving oil recovery at high-water-cut by quantitative etched-glass micro-models,", Energy Exploration & Exploitation, Vol. 34, No. 4, , pp.586-605.

  14. Aphu, S. E., Xing, C., Agbadze, O. K. and Brantson, E.T. (2015), "The General Overview of the Phrase ‘Fuzzy Logic’, ", International Journal of Engineering, Management & Sciences (IJEMS),, Vol. 2, No. 5.,