Abstract Viscosity is a critical fundamental property required in many applications in the chemical and oil industries. In this review the performance of seven select viscosity models, representative of various predictive and correlative approaches, is discussed and evaluated by comparison to experimental data of 52 pure hydrocarbons including straight-chain alkanes, branched alkanes, cycloalkanes, and aromatics. This analysis considers viscosity data to extremely high-temperature, high-pressure conditions up to 573 K and 300 MPa. Unsatisfactory results are found, particularly at high pressures, with the Chung-Ajlan-Lee-Starling, Pedersen-Fredenslund, and Lohrenz-Bray-Clark models commonly used for oil reservoir simulation. If sufficient experimental viscosity data are readily available to determine model-specific parameters, the free volume theory and the expanded fluid theory models provide generally comparable results that are superior to those obtained with the friction theory, particularly at pressures higher than 100 MPa. Otherwise, the entropy scaling method by Lotgering-Lin and Gross is recommended as the best predictive model.

中文翻译：

---

极端条件下纯碳氢化合物的粘度模型：回顾和比较研究

摘要 粘度是化学和石油工业中许多应用所需的关键基本特性。在这篇综述中，通过与包括直链烷烃、支链烷烃、环烷烃和芳烃在内的 52 种纯烃的实验数据进行比较，讨论和评估了代表各种预测和相关方法的七种选择粘度模型的性能。该分析考虑了高达 573 K 和 300 MPa 的极端高温、高压条件下的粘度数据。发现了不令人满意的结果，特别是在高压下，通常用于油藏模拟的 Chung-Ajlan-Lee-Starling、Pedersen-Fredenslund 和 Lohrenz-Bray-Clark 模型。如果可以随时获得足够的实验粘度数据来确定模型特定的参数，自由体积理论和扩展流体理论模型提供了普遍可比的结果，优于使用摩擦理论获得的结果，尤其是在高于 100 MPa 的压力下。否则，推荐 Lotgering-Lin 和 Gross 的熵缩放方法作为最佳预测模型。