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Application of the UMR-PRU model to multicomponent systems: Prediction of the phase behavior of synthetic natural gas and oil systems

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dc.contributor.author Louli, V en
dc.contributor.author Boukouvalas, C en
dc.contributor.author Voutsas, E en
dc.contributor.author Magoulas, K en
dc.contributor.author Tassios, D en
dc.date.accessioned 2014-03-01T01:25:56Z
dc.date.available 2014-03-01T01:25:56Z
dc.date.issued 2007 en
dc.identifier.issn 0378-3812 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/17827
dc.subject Cubic equation of state en
dc.subject EoS/GE model en
dc.subject Natural gas en
dc.subject Oil mixture en
dc.subject UNIFAC en
dc.subject Universal mixing rule en
dc.subject.classification Thermodynamics en
dc.subject.classification Chemistry, Physical en
dc.subject.classification Engineering, Chemical en
dc.subject.other Equations of state en
dc.subject.other Mathematical models en
dc.subject.other Mixing en
dc.subject.other Parameter estimation en
dc.subject.other Cubic equation of state en
dc.subject.other Oil mixture en
dc.subject.other Universal mixing rule en
dc.subject.other Natural gas en
dc.subject.other Equations of state en
dc.subject.other Mathematical models en
dc.subject.other Mixing en
dc.subject.other Natural gas en
dc.subject.other Parameter estimation en
dc.title Application of the UMR-PRU model to multicomponent systems: Prediction of the phase behavior of synthetic natural gas and oil systems en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.fluid.2007.07.025 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.fluid.2007.07.025 en
heal.language English en
heal.publicationDate 2007 en
heal.abstract The applicability of the recently developed UMR-PRU EoS/G(E) model is extended in this work by evaluating new gas containing UNIFAC group interaction parameters. Satisfactory prediction of various types of VLE data (dew and bubble point pressures, equilibrium ratios, liquid drop out, etc.) of multi-component systems, including gas condensates and oil mixtures, is obtained, and it is comparable or better than that of the other two EoS/GE models considered, the LCVM and the PSRK. It is concluded that the UMR-PRU model is a powerful tool for phase equilibrium predictions in mixtures of interest to the gas and oil industry. (C) 2007 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Fluid Phase Equilibria en
dc.identifier.doi 10.1016/j.fluid.2007.07.025 en
dc.identifier.isi ISI:000251194400049 en
dc.identifier.volume 261 en
dc.identifier.issue 1-2 en
dc.identifier.spage 351 en
dc.identifier.epage 358 en


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