期刊
FLUID PHASE EQUILIBRIA
卷 520, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.fluid.2020.112655
关键词
Asphaltene precipitation; Aggregation thermodynamics; NRTL-SAC; Molecule-based characterization; Petroleum fluids
资金
- Jack Maddox Distinguished Engineering Chair Professorship in Sustainable Energy
- J.F Maddox Foundation
Based on the aggregation thermodynamics established for asphaltene precipitation in binary solvents (Wang et al., AlChE J., 2016. 62 (4), 1254-64; Islam et al., Fluid Phase Equilibria, 2018. 473, 255-261), this work extends the aggregation thermodynamics for asphaltene precipitation in blending of heavy oils with light hydrocarbons. In lieu of the commonly accepted pseudocomponents approach for petroleum fluid characterization, the petroleum fluids are characterized in terms of model molecules and their compositions (Chen and Que, U.S. Patent No. 9,934,367 B2, April 3, 2018). Solvent power of the petroleum fluids is further quantified with the conceptual segment-based NRTL-SAC activity coefficient model (Chen and Song, Ind. Eng. Chem. Res., 2004, 43 (26), 8354-62). We show the aggregation thermodynamics with the NRTL-SAC model successfully predicts asphaltene precipitation from crude oils upon blending with normal alkanes. (C) 2020 Elsevier B.V. All rights reserved.
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