Nabil Al-Bulushi

Engineering · Physical Sciences

5h-index257citations13works1.52yr avg
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Research Topics

Hydrocarbon exploration and reservoir analysis(6), Reservoir Engineering and Simulation Methods(6), Enhanced Oil Recovery Techniques(5), Geophysical and Geoelectrical Methods(3), Hydraulic Fracturing and Reservoir Analysis(3)

Publications13 total

Results of Phase I of CO2 EOR Pilot in Thin, Microporous Carbonate Reservoirs
2025
Enhanced Gas Condensate Recovery by CO2 Injection in Low Carbon World
2024· 3 cited
Capillary Pressure Corrections, Quality Control and Curve Fitting Workflow
International Petroleum Technology Conference·2019· 2 cited
Capillary Pressure Corrections, Quality Control and Curve Fitting Workflow
International Petroleum Technology Conference·2019· 3 cited
Latest Developments using Fiber Optic Based Well Surveillance such as Distributed Acoustic Sensing (DAS) for Downhole Production and Injection Profiling
SPE Kuwait Oil and Gas Show and Conference·2015· 34 cited
Petrophysical Reservoir Characterisation of a Complex Heavy Oil Carbonate Reservoir in North Oman
International Petroleum Technology Conference·2013· 1 cited
Petrophysical Reservoir Characterisation of a Complex Heavy Oil Carbonate Reservoir in North Oman
International Petroleum Technology Conference·2013· 1 cited
Downhole Heavy Oil Characterization Using 3D NMR and Modern Dielectric Logs
SPE Heavy Oil Conference Canada·2012· 3 cited
PDOs EOR Screening Methodology for Heavy-Oil Fractured Carbonate Fields - A Case Study
SPE EOR Conference at Oil and Gas West Asia·2012· 6 cited
Artificial neural networks workflow and its application in the petroleum industry
Neural Computing and Applications·2010· 86 cited
Generating a capillary saturation-height function to predict hydrocarbon saturation using artificial neural networks
Petroleum Geoscience·2010· 2 cited
Development of artificial neural network models for predicting water saturation and fluid distribution
Journal of Petroleum Science and Engineering·2009· 95 cited
Predicting water saturation using artificial neural networks (ANNS)
Conference on Artificial Intelligence for Applications·2007· 21 cited

Frequent Co-authors

Martin A. Kraaijveld(4), Rifaat Al-Mjeni(4), Peter R. King(3), Martin J. Blunt(3), Dhiya Said(3), Azzan Al-Yaarubi(3), Ramez A. Nasralla(2), Ghazi Kraishan(2), Gábor Hursán(2), Juun van der Horst(1), Peter in ‘t Panhuis(1), G.L. Deitrick(1), Daria Mustafina(1), Gijs Hemink(1), Lex Groen(1), Hans Potters(1), Rifaat Mjeni(1), Kamran Fahmeed Awan(1), S.. Al Rajhi(1), Goos Bakker(1)