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Predicting The Onset of Asphaltene Precipitation by Virial EOS

by S. Sabbaghi1, M. Shariaty-Niassar2, Sh. Ayatollahi1, A. Jahanmiri1

Department of Chemical and Petroleum Engineering, Shiraz University, Shiraz, Iran
Corresponding Author. Tel.: +98-21-66957785; Fax:+98-21-66957785. E-Mail address: mshariat@ut.ac.ir. Department of Chemical Engineering, Tehran University, Iran.

Fluid Dynamics & Materials Processing 2008, 4(2), 113-124. https://doi.org/10.3970/fdmp.2008.004.113

Abstract

In this study, the Onset of Asphaltene Precipitation is predicted by a modified Virial equation of state. The bases of quantum mechanics and statistical thermodynamics are used to evaluate the potential energy and intermolecular forces related to asphaltene molecules. The Virial equation of state is modified using group-contribution-methods for asphaltenes, which are assumed to be polymeric-like compounds consisting of aggregates of monodisperse asphaltene monomers. It is shown how the modified Virial equation of state with the Peneloux correction leads to estimate the molar volume and solubility parameter. These parameters are also compared successfully with results provided by the Soave-Redlich-Kwong equation of state. The proposed model clearly shows that the asphaltene density and solubility parameters depend on molecular weight and temperature. Some useful correlations among these parameters are introduced.

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APA Style
Sabbaghi, S., Shariaty-Niassar, M., Ayatollahi, S., Jahanmiri, A. (2008). Predicting the onset of asphaltene precipitation by virial EOS. Fluid Dynamics & Materials Processing, 4(2), 113-124. https://doi.org/10.3970/fdmp.2008.004.113
Vancouver Style
Sabbaghi S, Shariaty-Niassar M, Ayatollahi S, Jahanmiri A. Predicting the onset of asphaltene precipitation by virial EOS. Fluid Dyn Mater Proc. 2008;4(2):113-124 https://doi.org/10.3970/fdmp.2008.004.113
IEEE Style
S. Sabbaghi, M. Shariaty-Niassar, S. Ayatollahi, and A. Jahanmiri, “Predicting The Onset of Asphaltene Precipitation by Virial EOS,” Fluid Dyn. Mater. Proc., vol. 4, no. 2, pp. 113-124, 2008. https://doi.org/10.3970/fdmp.2008.004.113



cc Copyright © 2008 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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