Viscosity models for pure hydrocarbons at extreme conditions: A review and comparative study

التفاصيل البيبلوغرافية
العنوان: Viscosity models for pure hydrocarbons at extreme conditions: A review and comparative study
المؤلفون: Mark A. McHugh, Robert M. Enick, Hseen O. Baled, Isaac K. Gamwo
المصدر: Fuel. 218:89-111
بيانات النشر: Elsevier BV, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Free volume theory, General Chemical Engineering, Organic Chemistry, Energy Engineering and Power Technology, Experimental data, Thermodynamics, 02 engineering and technology, 021001 nanoscience & nanotechnology, Petroleum reservoir, Fuel Technology, 020401 chemical engineering, Entropy (information theory), 0204 chemical engineering, 0210 nano-technology, Scaling, Mathematics
الوصف: 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.
تدمد: 0016-2361
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f52bb8287555666878108e0744af9c6c
https://doi.org/10.1016/j.fuel.2018.01.002
حقوق: OPEN
رقم الأكسشن: edsair.doi...........f52bb8287555666878108e0744af9c6c
قاعدة البيانات: OpenAIRE