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Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency.

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Title: Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency.
Authors: Orazbayev, Batyr1 (AUTHOR) batyr_o@mail.ru, Kuzhuhanova, Zhadra1 (AUTHOR) kuzhuhanova-zhad@mail.ru, Orazbayeva, Kulman2 (AUTHOR), Uskenbayeva, Gulzhan1 (AUTHOR) janat_6767@mail.ru, Abdugulova, Zhanat1 (AUTHOR), Zhumadillayeva, Ainur3,4 (AUTHOR) zhumadillayeva_ak@enu.kz
Source: Energies (19961073). Jan2025, Vol. 18 Issue 2, p271. 25p.
Subjects: Linguistic models, Petroleum refining, Manufactured products, Atmospheric models, Statistics
Abstract: This work is devoted to the study and solution of the problems of modeling complex objects on the example of the atmospheric block of the primary oil refining unit, associated with the deficit and fuzziness of the necessary initial information. Since many real technological objects of oil refining and other industries are often characterized by a deficit and fuzziness of the necessary information for their study, modeling, and optimization, this work allows solving an urgent scientific and practical problem. An effective method has been proposed that allows, based on a system approach, expert assessment methods, theories of fuzzy sets, and available information of various natures to develop hybrid models of complex objects in conditions of deficiency and fuzzy initial information. Based on the proposed hybrid method and available statistical and fuzzy information, effective hybrid models of atmospheric block columns of the primary oil refining unit were developed. In this case, statistical models were developed based on experimental and statistical data. With crisp input, mode parameters, and fuzzy output parameters, atmospheric block fuzzy models based on the proposed method, determining the quality of the manufactured products, were developed. Moreover, with the fuzzy input, mode, and output parameters of the atmospheric block columns, linguistic models based on the methods of expert assessments, logical rules of conditional inference, and the proposed method, assessing the quality of the produced gasoline, were developed. The linguistic models developed in Fuzzy Logic Toolbox allow for the assessment of the quality of gasoline from the atmospheric block depending on the content of chloride salts and the mass fraction of sulfur in the raw material. The results obtained using the proposed modeling method show their advantages in comparison with known modeling methods. [ABSTRACT FROM AUTHOR]
Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency.
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  Data: <searchLink fieldCode="AR" term="%22Orazbayev%2C+Batyr%22">Orazbayev, Batyr</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> batyr_o@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Kuzhuhanova%2C+Zhadra%22">Kuzhuhanova, Zhadra</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kuzhuhanova-zhad@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Orazbayeva%2C+Kulman%22">Orazbayeva, Kulman</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Uskenbayeva%2C+Gulzhan%22">Uskenbayeva, Gulzhan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> janat_6767@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Abdugulova%2C+Zhanat%22">Abdugulova, Zhanat</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhumadillayeva%2C+Ainur%22">Zhumadillayeva, Ainur</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<i> zhumadillayeva_ak@enu.kz</i>
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jan2025, Vol. 18 Issue 2, p271. 25p.
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  Data: <searchLink fieldCode="DE" term="%22Linguistic+models%22">Linguistic models</searchLink><br /><searchLink fieldCode="DE" term="%22Petroleum+refining%22">Petroleum refining</searchLink><br /><searchLink fieldCode="DE" term="%22Manufactured+products%22">Manufactured products</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+models%22">Atmospheric models</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This work is devoted to the study and solution of the problems of modeling complex objects on the example of the atmospheric block of the primary oil refining unit, associated with the deficit and fuzziness of the necessary initial information. Since many real technological objects of oil refining and other industries are often characterized by a deficit and fuzziness of the necessary information for their study, modeling, and optimization, this work allows solving an urgent scientific and practical problem. An effective method has been proposed that allows, based on a system approach, expert assessment methods, theories of fuzzy sets, and available information of various natures to develop hybrid models of complex objects in conditions of deficiency and fuzzy initial information. Based on the proposed hybrid method and available statistical and fuzzy information, effective hybrid models of atmospheric block columns of the primary oil refining unit were developed. In this case, statistical models were developed based on experimental and statistical data. With crisp input, mode parameters, and fuzzy output parameters, atmospheric block fuzzy models based on the proposed method, determining the quality of the manufactured products, were developed. Moreover, with the fuzzy input, mode, and output parameters of the atmospheric block columns, linguistic models based on the methods of expert assessments, logical rules of conditional inference, and the proposed method, assessing the quality of the produced gasoline, were developed. The linguistic models developed in Fuzzy Logic Toolbox allow for the assessment of the quality of gasoline from the atmospheric block depending on the content of chloride salts and the mass fraction of sulfur in the raw material. The results obtained using the proposed modeling method show their advantages in comparison with known modeling methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/en18020271
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        Text: English
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        StartPage: 271
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      – SubjectFull: Linguistic models
        Type: general
      – SubjectFull: Petroleum refining
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      – SubjectFull: Manufactured products
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      – SubjectFull: Atmospheric models
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      – SubjectFull: Statistics
        Type: general
    Titles:
      – TitleFull: Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency.
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            NameFull: Orazbayev, Batyr
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              M: 01
              Text: Jan2025
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              Y: 2025
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