面向CO<sub>2</sub>捕集、驱油和封存技术的黏度预测模型

康凯; 杨树; 王晓坡; 谷雅秀

doi:10.7652/xjtuxb202502011

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面向CO₂捕集、驱油和封存技术的黏度预测模型

更新时间：2026-01-06

- 面向CO₂捕集、驱油和封存技术的黏度预测模型
- A Predictive Viscosity Model for CO₂-Carbon Capture, Use and Storage for Enhanced Oil Recovery Technology
- 西安交通大学学报 2025年59卷第2期页码：106-114
- 作者机构：
  
  1.长安大学建筑工程学院， 710061，西安
  2.西安交通大学热流科学与工程教育部重点实验室， 710049，西安
- 作者简介：
  
  康凯（1991—），男，副教授。
- 基金信息：
  
  国家自然科学基金资助项目(52006015);陕西省自然科学基础研究计划资助项目(2023-JC-YB-473)
- DOI：10.7652/xjtuxb202502011
  中图分类号： Tk121
- 收稿：2024-08-17，
  
  网络首发：2024-10-28，
  
  纸质出版：2025-02-10
- 稿件说明：
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康凯, 杨树, 王晓坡, 等. 面向CO₂捕集、驱油和封存技术的黏度预测模型[J]. 西安交通大学学报, 2025,59(2):106-114. DOI: 10.7652/xjtuxb202502011.

KANG Kai, YANG Shu, WANG Xiaopo, et al. A Predictive Viscosity Model for CO₂-Carbon Capture, Use and Storage for Enhanced Oil Recovery Technology[J]. Journal of Xi’an Jiaotong University, 2025, 59(2): 106-114. DOI: 10.7652/xjtuxb202502011.
康凯, 杨树, 王晓坡, 等. 面向CO₂捕集、驱油和封存技术的黏度预测模型[J]. 西安交通大学学报, 2025,59(2):106-114. DOI: 10.7652/xjtuxb202502011. DOI：

KANG Kai, YANG Shu, WANG Xiaopo, et al. A Predictive Viscosity Model for CO₂-Carbon Capture, Use and Storage for Enhanced Oil Recovery Technology[J]. Journal of Xi’an Jiaotong University, 2025, 59(2): 106-114. DOI: 10.7652/xjtuxb202502011. DOI：

摘要

针对CO

捕集、驱油和封存技术中混合流体的黏度随组分和工况变化剧烈、现有黏度模型无法准确描述其变化规律的问题，探究了目标混合物热力学参数与黏度性质间的内在联系，并提出了修正剩余熵理论黏度预测模型。首先以热物理性质差异显著的CO

/中高碳烷烃非对称体系为研究载体，采用扰动链统计缔合流体理论状态方程获得密度、相平衡性质、熵等关键热力学参数，在此基础上构建了熵变量和黏度参考项，同时验证了目标混合物的无量纲黏度与流体剩余熵间存在明确的单值关系。研究结果表明：与扩展对比态和摩擦理论黏度模型相比，所提出的修正剩余熵黏度模型能够更准确地描述所涉及高度非对称系统黏度性质的变化规律，而对比的两个模型对高度非对称体系的预测能力有限；在摩擦理论引入额外修正系数的前提下，两种对比模型与实验数据的整体平均偏差分别为33.49%和12.71%，且随着烷烃碳原子数的增加和混合物各组分间非对称性的增强，其预测表现进一步恶化，而所提出的修正剩余熵黏度模型与实验数据间的整体平均偏差优于6.03%，且相对偏差分布未随工况变化出现系统误差，验证了所提模型的可靠性。该研究可为揭示CO

驱替作用机理、开发驱油藏数值模拟技术提供基础热物性数据支撑。

Abstract

Since the existing models exhibit a limited ability in predicting the sharply changing viscosity with changing compositions and working conditions in CO

-carbon capture

use and storage for enhanced oil recovery technology

a modified residual entropy scaling viscosity model was proposed

while the inner link between the thermodynamic parameters and viscosity property were explored. This study focused on the characteristics of viscosity for the highly asymmetric CO

/higher hydrocarbons mixtures. The density

vapor liquid equilibrium and entropy properties of the mixtures were obtained by using the perturbed chain statistical associating fluid theory equation of state. Further

a new entropy variable and a viscosity reference term were constructed

and a single-valued relationship between the dimensionless viscosity of the target mixture and the residual entropy of the fluid was verified. The results show that the proposed model can describe the changing la

w of viscosity properties of highly asymmetric mixtures more accurately than the extended corresponding states and friction Theory models which are both limited in predictive ability. The overall absolute average deviations between the calculated results using the above two viscosity models with introducing extra correction factor and experimental data were 33.49% and 12.71%

respectively. The predictive performance would deteriorate further with the increase of the number of carbon atoms of alkane and the enhancement of the asymmetry between the components of the mixture. The proposed model could make accurate predictions of the consequence of working condition change with overall absolute average deviation of 6.03%. Besides that

no obvious systematic errors could be observed in the comparison. It is verified that system was reliable and stable. This study can provide basic thermophysical data for revealing the CO

oil displacement mechanism and developing the technology of numerical simulation.

关键词

Keywords

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DOI：10.7652/xjtuxb202502011

摘要

Abstract

关键词

Keywords

references

面向CO₂捕集、驱油和封存技术的黏度预测模型

A Predictive Viscosity Model for CO₂-Carbon Capture, Use and Storage for Enhanced Oil Recovery Technology