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MOLECULAR MODELING FOR ULTRA-DEEP HYDRODESULFURIZATION OF LIGHT GAS OIL

机译:轻质气体油脂超深加氢脱硫的分子模型

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Modeling in petroleum refining has been focused on lumps of components so far. In recent years, however, advancements in analytical chemistry, computational hardware and software tend to enable a molecular-level modeling approach of tracking each molecule throughout reaction process in petroleum refining industries. In this study, we applied JKMT (Kinetic Modular's Toolbox, JPEC 2011), a molecular modeling technology, for ultra-deep HDS of light gas oil by using bulk properties of light gas oil. JKMT is originated from KMT technology developed by Klein and coworkers and contains three conceptual modules, CME, INGen and KME. We studied an integration of these modules for molecular modeling of ultra-deep HDS of light gas oil.
机译:到目前为止,石油炼油建模一直专注于组件的块。然而,近年来,分析化学,计算硬件和软件的进步倾向于使得在石油炼油行业的反应过程中跟踪每个分子的分子水平模拟方法。在本研究中,我们通过使用轻质气体油的堆积性能,应用JKMT(动力学模块化的工具箱,JPEC 2011),一种分子建模技术,用于轻质气体油的超深层HDS。 JKMT起源于Klein和Coworkers开发的KMT技术,并包含三个概念模块,CME,Ingen和Kme。我们研究了这些模块的集成,用于微深层高清的微型HDS的分子建模。

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