A Systematic Study of Cubic Equations of State with van der Waals Mixing Rules and Different Combining Rules in Predicting the Densities of LNG and Natural Gas Model Systems
Abstract
Cubic equations (EoSs) of state are successfully used in petroleum and natural gas industry. In order to extend these equations to mixtures, van der Waals mixing rules with Lorentz-Berthelot (LB) combining rules are often employed; however, the accuracies of these EoSs in predicting the densities of hydrocarbon mixtures are not adequate. The main objective of this study was comparing 13 EoSs coupled with 10 combining rules in predicting the densities of hydrocarbon mixtures. Binary and ternary liquid mixtures, LNG mixtures and synthetic natural gas mixtures comprising 752 data points were collected and used in this study. Results revealed that for predicting the liquid densities of binary and ternary mixtures, the Schmidt and Wenzel (SW) EoS coupled with Hudson-McCoubrey (HMC) or LB combining rules are the best among the others. The SW EoS coupled with the LB combining rules were also the best in predicting the densities of the LNG mixtures. Additionally, the LB combining rules are the best in predicting natural gas mixtures densities using the Patel and Teja (PT), SW and Patel-Teja-Valderrama (PTV) EoSs. In general, it was found that the Redlich-Kwong (RK) family EoSs, SW and Trebble-Bishnoi-Salim (TBS) EoSs are best coupled with the LB combining rules. However, the Peng and Robinson (PR) family EoSs with Halgren (HHG) combining rules were in better agreement with experimental data. The Waldman-Hagler (WH) combining rules lacked predictability when coupled with the most EoSs.
Keywords
References
- Reference 1:Prof. G. Ali Mansoorimansoori@uic.edu
- Reference 2:Prof. Vahid Taghikhanitaghikhani@sharif.edu
- Reference 3:Dr. Angel Muleromulero@unex.es
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Monther Al-manthari
This is me
Oman
Majid Al-wadhahi
This is me
Oman
Khashayar Nasrifar
This is me
Oman
Publication Date
May 23, 2019
Submission Date
February 17, 2019
Acceptance Date
May 7, 2019
Published in Issue
Year 2019 Volume: 22 Number: 2
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