Abstract Based on the aggregation thermodynamics established for asphaltene precipitation in binary solvents (Wang et al., AIChE 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.

中文翻译：

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沥青质的聚集热力学：用 NRTL-SAC 预测石油流体中的沥青质沉淀

摘要 基于二元溶剂中沥青质沉淀的聚集热力学（Wang et al., AIChE J., 2016. 62 (4), 1254-64; Islam et al., Fluid Phase Equilibria, 2018. 473, 255-261 )，这项工作扩展了重油与轻烃混合中沥青质沉淀的聚集热力学。代替普遍接受的用于石油流体表征的假组分方法，石油流体根据模型分子及其组成进行表征（Chen 和 Que，美国专利号 9,934,367 B2，2018 年 4 月 3 日）。石油流体的溶剂能力用基于概念段的 NRTL-SAC 活性系数模型进一步量化（Chen and Song, Ind. Eng. Chem. Res., 2004, 43 (26), 8354–62）。