Prediction of Asphaltene Precipitation in Organic Solvents via COSMO-SAC

Md Rashedul Islam, Yifan Hao, Meng Wang, Chau Chyun Chen

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Asphaltene precipitation is driven by self-association of asphaltene molecules to form nanoaggregates and subsequent formation of clusters from nanoaggregates (Mullins, O. C. Energy Fuels 2010, 24 (4), 2179-2207). Recently, a novel thermodynamic framework was proposed for the onset of asphaltene nanoaggregation in binary solvents with a functional group-based UNIFAC model (Wang, M., et al. AIChE J. 2016, 62 (4), 1254-1264). In this work, a computational chemistry-based COSMO-SAC model is applied with the aggregation thermodynamics to predict asphaltene precipitation. The predictions are further improved with the use of apparent sigma profiles based on the conceptual segment approach (Islam, M. R., Chen, C.-C. Ind. Eng. Chem. Res. 2015, 54 (16), 4441-4454).

Original languageEnglish
Pages (from-to)8985-8996
Number of pages12
JournalEnergy and Fuels
Volume31
Issue number9
DOIs
StatePublished - Sep 21 2017

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