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dc.contributor.author
Tassin, Natalia Giselle  
dc.contributor.author
Mascietti, Vanessa A.  
dc.contributor.author
Cismondi Duarte, Martín  
dc.date.available
2019-11-29T17:58:48Z  
dc.date.issued
2019-01  
dc.identifier.citation
Tassin, Natalia Giselle; Mascietti, Vanessa A.; Cismondi Duarte, Martín; Phase behavior of multicomponent alkane mixtures and evaluation of predictive capacity for the PR and RKPR EoS's; Elsevier Science; Fluid Phase Equilibria; 480; 1-2019; 53-65  
dc.identifier.issn
0378-3812  
dc.identifier.uri
http://hdl.handle.net/11336/90946  
dc.description.abstract
The RKPR EoS was developed in the past decade as a three-parameter model, with the intention to overcome some of the limitations of classic two-parameter cubic equations of state. More recently, parameter correlations were presented for alkanes and their mixtures, showing excellent capacity to predict the fluid phase behavior of binary mixtures up to the more asymmetric combinations and in wide ranges of temperature and pressure. In this work, different types of phase equilibrium data for multicomponent mixtures are considered, in order to see whether the good performance previously demonstrated for binary systems is also transferable to multicomponent mixtures like the ones typically encountered in synthetic fluids designed in the lab as model reservoir fluids. In the case of ternary systems with good availability of constant temperature and pressure data sets, the type and behavior of these Gibbs triangle diagrams are analyzed with reference to the general or global behavior of the system, based on pure compound saturation and binary critical lines, something we had not found in the literature preceding this work. The results and comparisons presented in this article allow concluding that RKPR2015 can be a useful tool with very good predictive capacity to describe the fluid phase equilibria of hydrocarbon mixtures. Advantages over the Peng-Robinson equation appear more clearly for the more asymmetric fluids, including synthetic gas condensates.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
EQUATIONS OF STATE  
dc.subject
MULTICOMPONENT MIXTURES  
dc.subject
RKPR EOS  
dc.subject
SYNTHETIC FLUIDS  
dc.subject
TERNARY SYSTEMS  
dc.subject.classification
Otras Ingeniería Química  
dc.subject.classification
Ingeniería Química  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Phase behavior of multicomponent alkane mixtures and evaluation of predictive capacity for the PR and RKPR EoS's  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-23T14:39:01Z  
dc.journal.volume
480  
dc.journal.pagination
53-65  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Tassin, Natalia Giselle. Universidad Nacional de Córdoba. Instituto de Investigación y Desarrollo en Ingeniería de Procesos y Química Aplicada. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigación y Desarrollo en Ingeniería de Procesos y Química Aplicada; Argentina  
dc.description.fil
Fil: Mascietti, Vanessa A.. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Universidade Federal do Rio de Janeiro; Brasil  
dc.description.fil
Fil: Cismondi Duarte, Martín. Universidad Nacional de Córdoba. Instituto de Investigación y Desarrollo en Ingeniería de Procesos y Química Aplicada. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigación y Desarrollo en Ingeniería de Procesos y Química Aplicada; Argentina  
dc.journal.title
Fluid Phase Equilibria  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0378381218304199  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.fluid.2018.10.005