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Real-time relative permeability prediction using deep learning. (2018)
Journal Article
ARIGBE, O.D., OYENEYIN, M.B., ARANA, I. and GHAZI, M.D. 2019. Real-time relative permeability prediction using deep learning. Journal of petroleum exploration and production technologies [online], 9(2), pages 1271-1284. Available from: https://doi.org/10.1007/s13202-018-0578-5

A review of the existing two and three phase relative permeability correlations shows a lot of pitfalls and restrictions imposed by (a) their assumptions (b) generalization ability and (c) difficulty with updating in real time for different reservoir... Read More about Real-time relative permeability prediction using deep learning..

Gas-condensate flow modelling for shale reservoirs. (2018)
Journal Article
LABED, I., OYENEYIN, B. and OLUYEMI, G. 2018. Gas-condensate flow modelling for shale reservoirs. Journal of natural gas science and engineering [online], 59, pages 156-167. Available from: https://doi.org/10.1016/j.jngse.2018.08.015

Condensate banking is the most challenging engineering problem in the development of gas-condensate reservoirs where the condensate accumulation can dramatically reduce the gas permeability resulting in impairment of wells productivity. An accurate a... Read More about Gas-condensate flow modelling for shale reservoirs..