Dr Ghazi Droubi's Outputs (4)

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..

CFD modelling of pipe erosion due to sand transport. (2018)
Presentation / Conference Contribution
OGUNSESAN, O.A., HOSSAIN, M., IYI, D. and DHROUBI, M.G. 2018. CFD modelling of pipe erosion due to sand transport. In Wahab, M.A. (ed.) Proceedings of the 1st International conference on numerical modelling in engineering (NME 2018), 28-29 August 2018, Ghent, Belgium. Volume 2: numerical modelling in mechanical and materials engineering. Lecture notes in mechanical engineering. Singapore: Springer [online], pages 274-289. Available from: https://doi.org/10.1007/978-981-13-2273-0_22

Erosion caused by sand particles is a serious problem facing the oil and gas industry. Predicting pipe erosion due to sand transport is a complex process in multiphase flows due to the complex nature of the flow. Existing erosion studies are however... Read More about CFD modelling of pipe erosion due to sand transport..

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..

Optimization of indentification of particle impacts using acoustic emission. (2018)
Thesis
HEDAYETULLAH, A.M. 2018. Optimization of indentification of particle impacts using acoustic emission. Robert Gordon University, PhD thesis.

Air-borne or liquid-laden solid particle transport is a common phenomenon in various industrial applications. Solid particles transported at severe operating conditions such as high-flow velocity can cause concerns for structural integrity, through w... Read More about Optimization of indentification of particle impacts using acoustic emission..