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

Here, 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 Lötgering-Lin and Gross is recommended as the best predictive model.
Authors:
 [1] ;  [1] ;  [2] ;  [3]
  1. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
  2. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States); Univ. of Pittsburgh, PA (United States)
  3. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States); Virginia Commonwealth Univ., Richmond, VA (United States)
Publication Date:
Report Number(s):
NETL-PUB-21360
Journal ID: ISSN 0016-2361; PII: S0016236118300024
Type:
Accepted Manuscript
Journal Name:
Fuel
Additional Journal Information:
Journal Volume: 218; Journal Issue: C; Journal ID: ISSN 0016-2361
Publisher:
Elsevier
Research Org:
National Energy Technology Lab. (NETL), Pittsburgh, PA, and Morgantown, WV (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
02 PETROLEUM; 03 NATURAL GAS; High-temperature; High-Pressure; Hydrocarbons; Modeling; Review; Viscosity
OSTI Identifier:
1419430

Baled, Hseen O., Gamwo, Isaac K., Enick, Robert M., and McHugh, Mark A.. Viscosity models for pure hydrocarbons at extreme conditions: A review and comparative study. United States: N. p., Web. doi:10.1016/j.fuel.2018.01.002.
Baled, Hseen O., Gamwo, Isaac K., Enick, Robert M., & McHugh, Mark A.. Viscosity models for pure hydrocarbons at extreme conditions: A review and comparative study. United States. doi:10.1016/j.fuel.2018.01.002.
Baled, Hseen O., Gamwo, Isaac K., Enick, Robert M., and McHugh, Mark A.. 2018. "Viscosity models for pure hydrocarbons at extreme conditions: A review and comparative study". United States. doi:10.1016/j.fuel.2018.01.002.
@article{osti_1419430,
title = {Viscosity models for pure hydrocarbons at extreme conditions: A review and comparative study},
author = {Baled, Hseen O. and Gamwo, Isaac K. and Enick, Robert M. and McHugh, Mark A.},
abstractNote = {Here, 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 Lötgering-Lin and Gross is recommended as the best predictive model.},
doi = {10.1016/j.fuel.2018.01.002},
journal = {Fuel},
number = C,
volume = 218,
place = {United States},
year = {2018},
month = {1}
}