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

Khalaf, Ali Nasir; Abdullah, Asaad A.

doi:10.13052/ejcm1779-7179.29467

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…Khalaf and Abdullah [152] explored the possibility of modelling the flow of crude oil in pipelines with DRAs using Newtonian turbulence k À ϵ and k À ω models. [151] LES, large eddy simulation.…”

Section: Simulationmentioning

confidence: 99%

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Applications of drag reducers for the pipeline transportation of heavy crude oils: A critical review and future research directions

et al. 2023

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The long‐distance pipeline transportation of heavy crudes demands optimal pumping procedures to abate overhead expenditures in the midstream phase. This can be facilitated by reducing both the oil viscosity and the frictional losses induced by the turbulent flow zone. The dualistic approach of reducing both viscosity and drag requires the optimization of several parameters such as concentrations and types of diluents and additives. This manuscript critically reviews various technologies being undertaken to facilitate the pipeline transportation of heavy crude oils by highlighting the technique of dilution coupled with the addition of drag reducing agents (DRA). DRA such as surfactants, nanoparticles, bio‐additives, polymers, and fibres are blended with the diluted crudes to suppress the proliferation of turbulent eddies which in turn assist in pumping the oil at a higher flow rate under constant pressure conditions. Several investigations have reported that drag reduction is significantly enhanced by varying the molecular structure of the DRA. In addition, an optimum flow rate coupled with a specific surfactant concentration at an ideal temperature can significantly reduce head losses and pumping expenditures. Further research is imperative to study the effect of the polymer structure with respect to the induced shear degradation and dissolution behavior of the crude.

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Section: Simulationmentioning

confidence: 99%

“…Khalaf and Abdullah [ 152 ] explored the possibility of modelling the flow of crude oil in pipelines with DRAs using Newtonian turbulence

k - ϵ

and

k - ω

models. Simulation results of both models were compared with six published experimental data for the flow of crude oil in pipes with different types of DRA.…”

Section: Scope Of Future Researchmentioning

confidence: 99%

Applications of drag reducers for the pipeline transportation of heavy crude oils: A critical review and future research directions

et al. 2023

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CFD simulation of drag-reducing fluids in a non-Newtonian turbulent pipe flow

Niazi,

Ashrafizadeh,

Hashemabadi

et al. 2024

Chemical Engineering Science

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Novel k-ω Turbulent Model for Prediction of Drag Reduction in Viscoelastic Fluid Flow

Niazi,

Ashrafizadeh,

Hashemabadi

et al. 2024

Ind. Eng. Chem. Res.

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One effective method for reducing pressure drop in turbulent pipe flows is the injection of Drag Reducing Agents (DRA), a technique that has been used for over 70 years. This study investigated the modeling and simulation of turbulent pipe flow behavior by developing a novel k-ω turbulence model and utilizing the modified Generalized Newtonian Fluid (GNF) model to integrate the fluid's rheological properties. The focus was on turbulent pipe flows involving DRA, which exhibit viscoelastic non-Newtonian fluid properties. This new k-ω model was derived from mathematical modeling by using the non-Newtonian k-ε model. Computational Fluid Dynamics (CFD) software was used to simulate the derived equations, incorporating non-Newtonian terms that encompass the rheological properties of drag-reducing fluids. These terms were implemented into the software using User-Defined Functions (UDFs). To assess the accuracy of our results, we compared them with data from the open literature, demonstrating a significant improvement in the precision of our results. Our model exhibited good agreement with experimental data, with an average deviation of 10.53% in the friction factor predicted for the studied fluids. Furthermore, the model showed high accuracy in near-wall regions, particularly the viscous and buffer sublayers.

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

Cited by 4 publications

References 24 publications

Applications of drag reducers for the pipeline transportation of heavy crude oils: A critical review and future research directions

Applications of drag reducers for the pipeline transportation of heavy crude oils: A critical review and future research directions

CFD simulation of drag-reducing fluids in a non-Newtonian turbulent pipe flow

Novel k-ω Turbulent Model for Prediction of Drag Reduction in Viscoelastic Fluid Flow

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