化工学报2024，Vol.75Issue(z1)：143-157,15.DOI:10.11949/0438-1157.20240646
改性磁性纳米粒子稳定的稠油O/W型乳状液的流变性影响因素及管输压降预测模型
Rheological property influencing factors and a pressure drop prediction model for pipeline transportation in thick oil O/W emulsions stabilized by modified magnetic nanoparticles
摘要
Abstract
The aim of this study is to investigate the effects of modified magnetic nanoparticle mass fraction,solution acidity and alkalinity(pH),oil-water ratio,NaCl concentration,stirring speed and emulsification temperature on the theological properties of thick oil O/W emulsions,and to reveal the mechanism of their effects in combination with zeta potential,interfacial tension and oil droplet distribution.In order to more deeply and precisely analyze the influence of the above factors on the flow characteristics of emulsion,a six-factor and three-level positive alternating current experiment was carried out,and the power law fluid pressure drop formula was used to calculate the pressure drop per unit pipe length under each group of conditions,and the analysis of variance(ANOVA)and nonlinear regression(NLR)analysis was carried out by applying the SPSS software,and a prediction model of the pressure drop in tubing transport was constructed for the O/W-type emulsions.Finally,the optimal solution for pressure drop was solved using Matlab software.The results show that the oil-water ratio has the most significant effect on the rheological properties of emulsions,and the modified magnetic nanoparticles can successfully prepare thick oil O/W emulsions with an oil-water ratio of 8:2.When the mass fraction of modified magnetic nanoparticles was controlled at 0.07％,the oil content was maintained at 50.38％,the NaCl concentration was 0.12 mol/L,the stirring speed was set at 664.10 r/min,and the emulsification temperature was maintained at 16.92℃,the tubing pressure drop per unit length of this thick-oil O/W-type emulsion could reach the minimum value,i.e.,66.93 Pa/m,which is an optimal solution.This optimal solution indicates that the lower mass fraction of modified magnetic nanoparticles can realize the thick oil substantial drag reduction transport under low temperature conditions.In addition,the model constructed in this paper shows a good ability to predict the pressure drop under strict orthogonal experimental conditions,which provides a reliable method to evaluate and optimize the conveying performance of thick oil O/W emulsions.关键词
纳米粒子/聚合物/稠油O/W型乳状液/流变性/预测/压降模型Key words
nanoparticles/polymer/thick oil O/W emulsions/rheological properties/prediction/pressure drop model分类
能源科技引用本文复制引用
孙娜娜,董红妹,郭文豪,柳健,胡建波,靳爽..改性磁性纳米粒子稳定的稠油O/W型乳状液的流变性影响因素及管输压降预测模型[J].化工学报,2024,75(z1):143-157,15.基金项目
陕西省自然科学基金项目(2023-JC-YB-421) （2023-JC-YB-421）
陕西省自然科学基金项目(2023-JC-QN-0467) （2023-JC-QN-0467）
陕西省自然科学基金项目(S2024-JC-YB-1660) （S2024-JC-YB-1660）
