Sayeed Rushd
Sayeed Rushd
Assistant Professor of Chemical Engineering, King Faisal University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
CFD simulation of slurry flow in annular pipelines
RA Sultan, MA Rahman, S Rushd, S Zendehboudi
AIP Conference Proceedings 1919 (1), 020005, 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
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
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
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
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
Towards optimal machine learning model for terminal settling velocity
S Rushd, MT Parvez, MA Al-Faiad, MM Islam
Powder Technology 387, 95-107, 2021
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