Abstract:
This paper presents the results of mathematical models’ development for hydrotreating reactor, stripping
соlumn, absorbers and hydrotreating furnace which are basic units of hydrotreating block in catalytic
reforming unit. Since these objects of modeling in reforming unit of Atyrau refinery operate in conditions
of insufficiency and fuzziness of the initial information, their mathematical models are developed on the
basis of a systematic approach, using available information of different nature (experimental-statistical
data, fuzzy information from the experts), with appropriate methods of construction for mathematical
models. Mathematical models, describing the dependence of the production output from the hydrotreating
reactor, columns and furnace, are designed as a nonlinear regression models based on experimentalstatistical data. Whereas models, evaluating the quality indicators of generated products from the
hydrotreating reactor and columns, i.e., hydrogenation, hydrogen-containing and hydrocarbon-containing
gases are built based on fuzzy information from specialists-experts in the form of fuzzy multiple regression
equations. We have plotted the graph for the dependence of hydrogenation products output on the
temperature in the hydrotreating reactor. To describe the dependence of the optimum temperature value in
hydrotreating process on raw material quality, a linguistic model is designed based on compositional rules
of inference and fuzzy information. Membership functions of fuzzy parameters are constructed for
linguistic models.
