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

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Authors: Emad Q. Hussein, Farhan Lafta RASHID, Mudhar Abdul Alwahab Al-Obaidi, Arman Ameen, Atef Chibani, Mohamed Kezzar, Ibrahim Mahariq
Cited by: 1
References: 40

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.

Fields of Study & Subjects

Rheology and Fluid Dynamics Studies Fluid Dynamics and Mixing Fluid Dynamics and Vibration Analysis

Publication details

Journal / source
Energies
Publisher
MDPI AG
Volume
19
Issue
3
Pages
812–812
Publication date
4 February 2026
Language
EN