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Generalized Net Model of the Processes in a Petroleum Refinery—Part I: Theoretical Study

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  • Dicho Stratiev

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria
    Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, 1113 Sofia, Bulgaria)

  • Ivelina Shishkova

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Nora Angelova

    (Faculty of Mathematics and Informatics, University “St. Kliment Ohridsk”, 5, James Bourchier Blvd, 1164 Sofia, Bulgaria)

  • Danail D. Stratiev

    (Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, 1113 Sofia, Bulgaria)

  • Krassimir Atanassov

    (Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, 1113 Sofia, Bulgaria)

Abstract

Oil refining is a branch of industry that delivers energy to move our vehicles. The transportation of people and goods by airplanes, ships, trains, trucks, buses, and cars is unthinkable for modern mankind without the use of refined petroleum automotive fuels. Thus, the optimal functioning of this industrial branch is vital to contemporary human society. The modeling of processes that take place during refined oil products’ manufacturing, which are parallel in their essence, by generalized nets enables their activity optimization and better management. The generalized nets, which are in principle extensions of Petri nets, are applied in this research as a toolkit to model all processes from crude oil selection and delivery to a high complex refinery (Nelson index of 10.6) to the production of a great diversity of fuels, propylene, and polypropylene. The proposed article is a continuation and extension of the articles, published in Mathematics Journal in 2021 and 2023. It is the first (theoretical part) of our comprehensive study of modeling petroleum products’ production processes in a refinery, and the second part will discuss the results of the software implementation of the model.

Suggested Citation

  • Dicho Stratiev & Ivelina Shishkova & Nora Angelova & Danail D. Stratiev & Krassimir Atanassov, 2024. "Generalized Net Model of the Processes in a Petroleum Refinery—Part I: Theoretical Study," Mathematics, MDPI, vol. 12(19), pages 1-22, September.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:19:p:3017-:d:1487439
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    References listed on IDEAS

    as
    1. Li, Hongcheng & Yang, Dan & Cao, Huajun & Ge, Weiwei & Chen, Erheng & Wen, Xuanhao & Li, Chongbo, 2022. "Data-driven hybrid petri-net based energy consumption behaviour modelling for digital twin of energy-efficient manufacturing system," Energy, Elsevier, vol. 239(PC).
    2. Sun, Qinying & Ma, Haiqun, 2024. "Modelling and performance analysis of the COVID-19 emergency collaborative process based on a stochastic Petri net," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Zhou, Jianfeng & Reniers, Genserik & Cozzani, Valerio, 2023. "A Petri-net approach for firefighting force allocation analysis of fire emergency response with backups," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    4. Danail D. Stratiev & Angel Dimitriev & Dicho Stratiev & Krassimir Atanassov, 2023. "Modeling the Production Process of Fuel Gas, LPG, Propylene, and Polypropylene in a Petroleum Refinery Using Generalized Nets," Mathematics, MDPI, vol. 11(17), pages 1-17, September.
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