Optimising Drag-Reducing Agent Performance for Energy-Efficient Pipeline Transport

The high energy consumption and cost of operation which result from substantial pressure losses during the transportation of crude oil over long-distance pipelines due to frictional drag created by turbulence are fundamental issues. In order to cope with such challenges, the current research intends to develop a simulation-based study that employs MATLAB R2016b and Minitab 21 to assess the effectiveness of drag-reducing agents (DRAs). An effective mathematical representation of the use of basic fluid mechanics with a semi-empirical correlation on the DRA performance is therefore created and its performance compared to actual pipeline data, showing good compatibility with experimental results. The findings show that DRA addition can produce a significant reduction in the pressure drop by 30–35% with an increase in the overall flow efficiency by 40–60%. Using 25 ppm DRA concentration at a Reynolds number of 323,159 enables an optimised prediction of 33.43% in drag reduction with an efficiency of 45.13%. Moreover, it is also found that there are considerable energy savings, flatter radial velocity profiles, and enhanced particle transport, which highlights the radical effect of DRAs on the hydrodynamics of flows. More importantly, it is determined that DRAs are one of the most effective and cost-efficient solutions to improve throughput and decrease the pumping power in the oil pipeline. However, further research is required to generalise the model to multiphase flows and use the newest optimisation algorithms to control the dosage dynamically.

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Publication Details

Journal
Energies
Published
2026-02-04
DOI
https://doi.org/10.3390/en19030812
Primary Topic
Rheology and Fluid Dynamics Studies
Type
article
Field-Weighted Citation Impact
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article

Optimising Drag-Reducing Agent Performance for Energy-Efficient Pipeline Transport

Ibrahim Mahariq, Mohamed Kezzar, Mudhar Abdul Alwahab Al-Obaidi, Atef Chibani et al.
Energies
Rheology and Fluid Dynamics Studies
article

Optimising Drag-Reducing Agent Performance for Energy-Efficient Pipeline Transport

Ibrahim Mahariq, Mohamed Kezzar, Mudhar Abdul Alwahab Al-Obaidi, Atef Chibani, Emad Q. Hussein, Farhan Lafta RASHID, Arman Ameen
article en

Abstract

The high energy consumption and cost of operation which result from substantial pressure losses during the transportation of crude oil over long-distance pipelines due to frictional drag created by turbulence are fundamental issues. In order to cope with such challenges, the current research intends to develop a simulation-based study that employs MATLAB R2016b and Minitab 21 to assess the effectiveness of drag-reducing agents (DRAs). An effective mathematical representation of the use of basic fluid mechanics with a semi-empirical correlation on the DRA performance is therefore created and its performance compared to actual pipeline data, showing good compatibility with experimental results. The findings show that DRA addition can produce a significant reduction in the pressure drop by 30–35% with an increase in the overall flow efficiency by 40–60%. Using 25 ppm DRA concentration at a Reynolds number of 323,159 enables an optimised prediction of 33.43% in drag reduction with an efficiency of 45.13%. Moreover, it is also found that there are considerable energy savings, flatter radial velocity profiles, and enhanced particle transport, which highlights the radical effect of DRAs on the hydrodynamics of flows. More importantly, it is determined that DRAs are one of the most effective and cost-efficient solutions to improve throughput and decrease the pumping power in the oil pipeline. However, further research is required to generalise the model to multiphase flows and use the newest optimisation algorithms to control the dosage dynamically.

EnergiesVol. 19(3)
Applied Science Private University (JO), Research Center in Industrial Technologies (DZ), Middle Technical University (IQ), University of Gävle (SE), University of Kerbala (IQ), University of Skikda (DZ)
Affordable and clean energy
Openalex Percentile: Top 66%
Rheology and Fluid Dynamics Studies
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