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作 者:王鑫磊 杨清河 聂红 WANG Xinlei;YANG Qinghe;NIE Hong(SINOPEC Research Institute of Petroleum Processing Co.,Ltd.,Beijing 100083,China)
机构地区:[1]中石化石油化工科学研究院有限公司,北京100083
出 处:《石油学报(石油加工)》2025年第2期344-351,共8页Acta Petrolei Sinica(Petroleum Processing Section)
基 金:国家重点研发计划项目(2021YFA1501201)基金资助。
摘 要:基于对渣油加氢原料组成和反应过程机理的深入探究,建立了一套适用于组分炼油的渣油加氢机理模型。该模型反应网络包含38个虚拟分子组分以及10种反应类型和44个反应,既考虑了渣油原料分子组成复杂多变的特性,又兼顾目前炼油厂重质油品的常规分析能力,不过多增加组分数量和模型规模,以适应工业应用条件。依据多种原料的渣油加氢催化剂评价数据,采用顺序二次规划(SQP)算法回归动力学参数。采用多组渣油原料在多个工况下的实验数据对模型进行验证,产品元素分布的模型计算值与实验值相对误差小于5%。结果表明,该模型可以很好地描述渣油的加氢饱和、加氢裂解、脱硫脱氮及脱金属反应过程,同时可计算得到各虚拟分子组分的组成分布及加氢产品各馏分段收率,具有一定工业应用价值。Based on deeply exploring the composition and reaction process mechanism of residue oil hydrotreating process,the paper establishes a residue oil hydrotreating model suitable for component refining.The reaction network of the model includes 38 virtual molecular components and 44 reactions involving 10 reaction types.It considers not only the complex and variable characteristics of the molecular composition of residue feedstocks,but also the current conventional analysis capabilities of heavy oil products in refineries,without excessively increasing the number of components and model size to adapt to industrial application conditions.According to the evaluation data of residue oil hydrotreating catalyst for several types of feedstocks,regression kinetic parameters was calculated by sequential quadratic programming(SQP)algorithm.The model was validated using various sets of experimental data,and the relative error between the calculated value and the experimental value was less than 5%,indicating that the model can well describe the hydro-saturation,hydrocracking,hydrodesulfurization,denitridation,and demetallization reaction processes of residual oil.Meanwhile,the composition distribution of each virtual molecular component and the yield of each fraction can be calculated,indicating that the model has certain industrial application value.
关 键 词:渣油加氢 分子炼油 组分炼油 反应网络 动力学模型
分 类 号:TE624[石油与天然气工程—油气加工工程]
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