Liu Kun, Xiong Xiao, Dai Xiaodong, Liang Yue, Gou Jinxin, Cheng Zhensong, Zhang Guoxin, Lu Yuan, Zhang Jianhua
College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China.
School of Mechanical Engineering, Southwest Petroleum University, Chengdu, 610500, Sichuan, China.
Sci Rep. 2025 Sep 1;15(1):32048. doi: 10.1038/s41598-025-18158-9.
This study investigates the drag reduction performance of oil-soluble polymers, specifically Polyisobutylene (PIB), in crude oil pipelines. The experiments were conducted using a flow-loop system to simulate turbulent flow conditions. The effects of Reynolds number and polymer concentration on drag reduction were analyzed using Response Surface Methodology (RSM). The results indicated that both the Reynolds number and the concentration of PIB significantly influence the drag reduction performance, with the quadratic term of concentration showing a significant effect. The model developed through RSM was found to be significant with a high R-square value, indicating a good fit to the experimental data. The predictive accuracy of the model was further validated through a comparison of experimental and calculated drag reduction rates, which were found to be within ± 10% of each other. The study concludes that PIB is an effective drag reducer for crude oil, and the developed model can be used to optimize the application of PIB in pipeline transportation, potentially leading to increased efficiency and cost savings.
本研究调查了油溶性聚合物,特别是聚异丁烯(PIB)在原油管道中的减阻性能。实验使用流动环路系统进行,以模拟湍流条件。采用响应面法(RSM)分析了雷诺数和聚合物浓度对减阻的影响。结果表明,雷诺数和PIB浓度均对减阻性能有显著影响,浓度的二次项显示出显著效应。通过RSM开发的模型具有较高的决定系数(R平方值),表明该模型对实验数据拟合良好。通过比较实验和计算得到的减阻率,进一步验证了模型的预测准确性,发现两者相差在±10%以内。研究得出结论,PIB是一种有效的原油减阻剂,所开发的模型可用于优化PIB在管道输送中的应用,有望提高效率并节省成本。