Simulation of Crude Oil Transportation with Drag Reduction Agents Using k-ϵ and k-ω Models

Authors

DOI:

https://doi.org/10.13052/ejcm1779-7179.29467

Keywords:

Crude oil, simulation, turbulence models, drag reduction, newtonian fluid

Abstract

This work explores the possibility of using Newtonian turbulence k−ϵ and k−ω models for modelling crude oil flow in pipelines with drag reduction agents. These models have been applied to predict the friction factor, pressure drop and the drag reduction percentage. The simulation results of both models were compared with six published experimental data for crude oil flow in pipes with different types of drag reduction agents. The velocity near the wall was determined using the log law line of Newtonian fluid equation and by changing the parameter ΔB to achieve an excellent agreement with experimental data. Simulated data for k−ϵ model shows better agreement with most experimental data than the k−ω turbulence model.

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Author Biographies

Ali Nasir Khalaf, Department of Chemical Engineering, College of Engineering, University of Basrah, Iraq

Ali Nasir Khalaf received his B.Sc. and M.Sc. degrees in Chemical Engineering from Basrah University-Engineering College, and Ph.D. degree in Mechanical Engineering from University of Basrah – College of Engineering, Iraq. Dr. Khalaf a faculty member at the College of Engineering – University of Basrah since 1992.

Asaad A. Abdullah, Department of Materials Engineering, College of Engineering, University of Basrah, Iraq

Asaad. A. Abdullah received his B.Sc. and M.Sc. degrees in mechanical Engineering from University of Basrah – College of Engineering, Iraq; and Ph.D. degree in Mechanical Engineering from the Huazhong University of Science and Technology, China. Dr. Abdullah, a faculty member at the College of Engineering – University of Basrah since 2002.

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Published

2021-05-22

How to Cite

Khalaf, A. N., & Abdullah, A. A. (2021). Simulation of Crude Oil Transportation with Drag Reduction Agents Using k-ϵ and k-ω Models. European Journal of Computational Mechanics, 29(4-6), 459–490. https://doi.org/10.13052/ejcm1779-7179.29467

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Original Article