All Outputs (2)

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..

Analysis of acoustic emission propagation in metal-to-metal adhesively-bonded joints. (2018)
Journal Article
CRAWFORD, A., DROUBI, M.G. and FAISAL, N.H. 2018. Analysis of acoustic emission propagation in metal-to-metal adhesively-bonded joints. Journal of nondestructive evaluation [online], 37(2), article number 33. Available from: https://doi.org/10.1007/s10921-018-0488-y

Acoustic emission (AE) monitoring shows promise as one of the most effective methods for condition monitoring of adhesively-bonded joints. Previous research has demonstrated its ability to detect, locate and classify adhesive joint failure, though in... Read More about Analysis of acoustic emission propagation in metal-to-metal adhesively-bonded joints..