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Application of the Modified Regular Solution Model to Crude Oils Characterized from a Distillation Assay

机译:改性常规解决方案模型在蒸馏测定中表征原油的应用

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摘要

The modified regular solution model was developed to predict onset and amount (yield) of asphaltene precipitation from mixtures of crude oil and solvents. The most recent version of the model includes the partitioning of all components between a solvent-rich phase and an asphaltene-rich phase, where the solvents are pure components with known properties and the crude oil is represented as pseudo-components defined on the basis of a saturate, aromatic, resin, and asphaltene (SARA) assay. The molecular weight, density, and solubility parameter of each pseudo-component are determined from correlations. This model is sensitive to uncertainties in the SARA assay composition and is not compatible with the standard phase behavior modeling methodology based on pseudo-components defined from a distillation assay. In this contribution, the model was extended to crude oil pseudocomponents based on boiling cuts (TBP). The n-pentane-insoluble asphaltene fraction was characterized in the same way as the SARA-based model. The molecular weight and density of the TBP-based pseudo-components were predicted from well-established correlations. New correlations were proposed for the maltene pseudo-component solubility parameters as a function of the temperature and pressure. The TBP-based model was tested on two data sets: (1) onsets, yields, and phase compositions for a Western Canada bitumen mixed with n-alkanes from propane to n-heptane at temperatures and pressures up to 250 degrees C and 13.8 MPa, respectively, and (2) yields from eight oils from different geographical regions mixed with n-alkanes from n-pentane to noctane at temperatures and pressures up to 100 degrees C and 6.8 MPa, respectively. The overall absolute deviation was 2 wt % for both data sets, similar to the deviations found for the SARA-based model.
机译:开发了改进的常规解决方案模型以预测来自原油和溶剂的混合物的沥青质沉淀的发病和量(产量)。该模型的最新版本包括富含溶剂相比的所有组分和富含沥青物的相之间的分配,其中溶剂是具有已知性质的纯组分,并且原油代表在基于基础上定义的伪组分。饱和,芳族,树脂和沥青质(SARA)测定。从相关性确定每个伪组分的分子量,密度和溶解度参数。该模型对SARA测定组合物中的不确定性敏感,并且基于由蒸馏测定法定义的伪组分,与标准相行为建模方法不相符。在这一贡献中,该模型扩展到基于沸腾切割(TBP)的原油伪组分。以与基于SARA的模型相同的方式表征正戊烷 - 不溶性沥青质馏分。从良好的相关性预测基于TBP的伪组分的分子量和密度。作为温度和压力的函数,提出了马来苯伪组分溶解度参数的新相关性。在两种数据集上测试了基于TBP的模型:(1)在温度下与从丙烷的N-烷烃与N-庚烷混合的加拿大西部沥青的孕瓶,产率和相组合物在温度下,高达250℃和13.8MPa的压力分别和(2)(2)从8个来自不同地理区域的八个油的产量,在温度下与N-戊烷的N-戊烷混合到N-戊烷,分别高达100℃和6.8MPa。两个数据集的整体绝对偏差为2wt%,类似于为基于SARA的模型找到的偏差相似。

著录项

  • 来源
    《Energy & fuels》 |2020年第12期|15270-15284|共15页
  • 作者单位

    Univ Calgary Schulich Sch Engn Dept Chem & Petr Engn University AB T2N 1N4 Canada;

    Univ Calgary Schulich Sch Engn Dept Chem & Petr Engn University AB T2N 1N4 Canada;

    Univ Calgary Schulich Sch Engn Dept Chem & Petr Engn University AB T2N 1N4 Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 23:01:31

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