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Hydrotreating unit models based on statistical and fuzzy information

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dc.contributor.author Tanirbergenova, Alua
dc.contributor.author Orazbayev, Batyr
dc.contributor.author Ospanov, Yerbol
dc.contributor.author Omarova, Sholpan
dc.contributor.author Kurmashev, Ildar
dc.date.accessioned 2024-09-13T12:12:44Z
dc.date.available 2024-09-13T12:12:44Z
dc.date.issued 2021-09
dc.identifier.issn 2303-4521
dc.identifier.other DOI 10.21533/pen.v9i4.2307
dc.identifier.uri http://rep.enu.kz/handle/enu/16357
dc.description.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. ru
dc.language.iso en ru
dc.publisher Periodicals of Engineering and Natural Sciences ru
dc.relation.ispartofseries Vol. 9, No. 4,;pp.242-258
dc.subject Hydrotreating ru
dc.subject Hydrotreater ru
dc.subject Hydrogenation ru
dc.subject Hydrotreating reactor ru
dc.subject Mathematical model ru
dc.subject Fuzzy information ru
dc.subject Membership function ru
dc.subject Fuzzy model ru
dc.title Hydrotreating unit models based on statistical and fuzzy information ru
dc.type Article ru


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