| Validation of CFD model of multiphase flow through pipeline and annular geometries RA Sultan, MA Rahman, S Rushd, S Zendehboudi, VC Kelessidis Particulate Science and Technology 37 (6), 685-697, 2019 | 23 | 2019 |
| Experimental investigation of multiphase flow behavior in drilling annuli using high speed visualization technique AA Zahid, S Rushd, A Hasan, MA Rahman Frontiers in Energy 14 (3), 635-643, 2020 | 18 | 2020 |
| Terminal settling velocity of a single sphere in drilling fluid S Rushd, I Hassan, RA Sultan, VC Kelessidis, A Rahman, HS Hasan, ... Particulate Science and Technology, 2018 | 18 | 2018 |
| Experimental investigation of volume fraction in an annulus using electrical resistance tomography SR Rehman, AA Zahid, A Hasan, I Hassan, MA Rahman, S Rushd SPE Journal 24 (05), 1947-1956, 2019 | 14 | 2019 |
| A new approach to model friction losses in the water‐assisted pipeline transportation of heavy oil and bitumen S Rushd, M McKibben, RS Sanders The Canadian Journal of Chemical Engineering 97 (8), 2347-2358, 2019 | 12 | 2019 |
| CFD methodology to determine the hydrodynamic roughness of a surface with application to viscous oil coatings S Rushd, A Islam, RS Sanders Journal of Hydraulic Engineering 144 (2), 04017067, 2018 | 12 | 2018 |
| CFD Analysis of pressure losses and deposition velocities in Horizontal Annuli RA Sultan, MA Rahman, S Rushd, S Zendehboudi, VC Kelessidis International Journal of Chemical Engineering 2019, 2019 | 8 | 2019 |
| Greenhouse Gas Emissions from Solid Waste Management in Saudi Arabia—Analysis of Growth Dynamics and Mitigation Opportunities MM Rahman, SM Rahman, MS Rahman, MA Hasan, SA Shoaib, S Rushd Applied Sciences 11 (4), 1737, 2021 | 7 | 2021 |
| Modeling the settling velocity of a sphere in Newtonian and non-Newtonian fluids with machine-learning algorithms S Rushd, N Hafsa, M Al-Faiad, M Arifuzzaman Symmetry 13 (1), 71, 2021 | 7 | 2021 |
| A generalized method for modeling the adsorption of heavy metals with machine learning algorithms N Hafsa, S Rushd, M Al-Yaari, M Rahman Water 12 (12), 3490, 2020 | 7 | 2020 |
| A parametric study of the hydrodynamic roughness produced by a wall coating layer of heavy oil S Rushd, RS Sanders Petroleum Science 14 (1), 155-166, 2017 | 6 | 2017 |
| Prediction of arsenic removal in aqueous solutions with non‐neural network algorithms N Hafsa, M Al‐Yaari, S Rushd The Canadian Journal of Chemical Engineering 99, S135-S146, 2021 | 4 | 2021 |
| Modeling friction losses in the water-assisted pipeline transportation of heavy oil S Rushd, RA Sultan, S Mahmud Processing of Heavy Crude Oils-Challenges and Opportunities, 2019 | 4 | 2019 |
| CFD simulation of slurry flow in annular pipelines RA Sultan, MA Rahman, S Rushd, S Zendehboudi AIP Conference Proceedings 1919 (1), 020005, 2017 | 4 | 2017 |
| Investigation of pressure losses in eccentric inclined annuli S Rushd, RA Sultan, A Rahman, V Kelessidis International Conference on Offshore Mechanics and Arctic Engineering 57762 …, 2017 | 4 | 2017 |
| Application of ANN to the water-lubricated flow of non-conventional crude I Dubdub, S Rushd, M Al-Yaari, E Ahmed Chemical Engineering Communications 209 (1), 47-61, 2022 | 3 | 2022 |
| CFD Simulation of Pressure Losses in Eccentric Horizontal Wells S Rushd, AR Shazed, T Faiz, V Kelessidis, IG Hassan, A Rahman SPE Middle East Oil & Gas Show and Conference, 2017 | 3 | 2017 |
| A Parametric Study of the Hydrodynamic Roughness Produced by a Wall-Coating Layer of Oil during the Pipeline Transportation of Heavy Oil-Water Mixtures S Rushd, S Sanders SPE Canada Heavy Oil Technical Conference, 2015 | 3 | 2015 |
| Application of a capacitance sensor for monitoring water lubricated pipeline flows S Rushd, RS Sanders The Canadian Journal of Chemical Engineering 92 (9), 1643-1650, 2014 | 3 | 2014 |
| Towards optimal machine learning model for terminal settling velocity S Rushd, MT Parvez, MA Al-Faiad, MM Islam Powder Technology 387, 95-107, 2021 | 2 | 2021 |
Mohammad Azizur RahmanTexas A&M University at QatarVerified email at tamu.edu
