Naphtha reforming is one of the most important industrial processes in refineries. The products include aromatic hydrocarbons such as benzene, toluene, and xylenes, which are frillier used as high octane additives to gasoline. To increase the efficiency of the process, it is necessary to develop a new method of naphtha reforming. In this work, we have proposed a mathematical model of catalytic refining of low-octane gasoline fracdons into high-octane fractions. The model is based on kinetic equations, established for commercial gasoline reforming in the presence of the platinum-rhenium catalyst on a γ-Al₂O₃ carrier in the industrial-scale conditions. The equation: describe the dependence of the content of paraffinic, naphthenic, and aromatic hydrocarbon fractions on the process parameters, including volumetric rate and the reaction temperature. The mathematical model had been validated by comparing calculated results with the industrial data obtained from the commercial naphtha reforming production.

石脑油重整是炼油厂最重要的工业流程之一。产品包括芳烃，如苯，甲苯和二甲苯，它们是杂芳烃，用作汽油的高辛烷值添加剂。为了提高该方法的效率，有必要开发一种新的石脑油重整方法。在这项工作中，我们提出了将低辛烷值汽油压裂物催化精炼成高辛烷值馏分的数学模型。该模型是基于动力学方程，建立了商业汽油在上的铂-铼催化剂的存在下重整的γ-Al ₂ ö ₃载体在工业规模条件下。该方程式：描述了链烷烃，环烷烃和芳烃馏分含量对工艺参数（包括体积率和反应温度）的依赖性。通过将计算结果与从商业石脑油重整生产中获得的工业数据进行比较，验证了该数学模型。