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Mathematical modeling of visbreaking.

机译：减粘的数学建模。

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Previously, nuclear magnetic resonance (NMR) carbon-type analysis data were used to model visbreaking of Athabasca bitumen [1], where the major reaction pathways during visbreaking were identified. The present work extends the same approach further to explain the visbreaking behavior of six different oils.;In the current study, the visbreaking of these oils was performed at a single severity and the feed and the products were separated into different pseudo-components. The quantification of carbon-types in these pseudo-components was done using elemental analyses and nuclear magnetic resonance spectroscopy. Four classes of representative model compounds were chosen based on the carbon-type data of the pseudo-components. A literature review of the pyrolysis studies of these model compounds suggested the major types of reactions involved during visbreaking. Through the use of reaction pathways and model rules, model correlations were able to predict the residue conversion, coke formation and product yields during visbreaking.
机译：以前，核磁共振（NMR）碳型分析数据用于模拟Athabasca沥青的减粘裂化[1]，其中确定了减粘裂化的主要反应途径。目前的工作扩展了相同的方法，进一步解释了六种不同油类的减粘稠化行为。在当前研究中，这些油类的减粘稠化是在单一强度下进行的，饲料和产品被分为不同的假组分。使用元素分析和核磁共振波谱法对这些假组分中的碳类型进行了定量。基于伪组分的碳型数据选择了四类代表性的模型化合物。对这些模型化合物的热解研究的文献综述表明，在减粘裂化过程中涉及的主要反应类型。通过使用反应途径和模型规则，模型相关性能够预测减粘裂化过程中的残渣转化率，焦炭形成和产品产量。

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