Modelling the Process of Production of Automotive Gasoline by the Use of Generalized Nets

Stratiev, Dicho; Zoteva, Dafina; Atanassov, Krassimir

doi:10.1007/978-3-030-95929-6_27

Cited by 4 publications

(10 citation statements)

References 25 publications

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“…Moreover, this model could enable the assessment of the efficiency of adding new process units into the refinery processing scheme before their construction. This paper is a continuation of a series of papers by the authors in which GN models of the production of automotive gasoline [53] and diesel [54] in a refinery are described. Modeling the processes of heavy oil products in a refinery using GN is the next study already submitted for publication.…”

Section: Discussionmentioning

confidence: 99%

“…In the next time-step, the token ρ 42 splits into two tokens-the same token ρ 14 and token ε 1 that enters place l 51 with a characteristic: "the current quantity of LPG sent for export". 53 = "there is a request for fuel gas product for the refinery power station"; W 55,54 = "there is a request for fuel gas product for the refinery process furnaces". Data Availability Statement: Not applicable.…”

Section: Conflicts Of Interestmentioning

confidence: 99%

“…In our earlier studies [53,54] we demonstrated that the processes of automotive gasoline [53] and diesel fuel production [54] in a petroleum refinery can be modeled using generalized nets (GNs). The literature review indicates that there is a lack of models of all the processes taking place in a petroleum refinery that are related to the production of refined products and prepared with some mathematical instrumentation.…”

Section: Introductionmentioning

confidence: 99%

“…The apparatus of GNs provides the capability of easier uniting of diverse GNs models. The GNs models already produced by us [53,54] can be transformed into the subnets of a general GN model. In the future, this will be realized using a software product developed in the Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences.…”

Section: Introductionmentioning

confidence: 99%

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Modeling the Production Process of Fuel Gas, LPG, Propylene, and Polypropylene in a Petroleum Refinery Using Generalized Nets

Stratiev,

Dimitriev,

Stratiev

et al. 2023

Mathematics

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The parallel processes involved in the production of refinery fuel gas, liquid petroleum gas (LPG), propylene, and polypropylene, occurring in thirteen refinery units, are modeled by the use of a Generalized Net (GN) apparatus. The modeling of the production of these products is important because they affect the energy balance of petroleum refinery and the associated emissions of greenhouse gases. For the first time, such a model is proposed and it is a continuation of the investigations of refinery process modelling by GNs. The model contains 17 transitions, 55 places, and 47 types of tokens, and considers the orders of fuel gas for the refinery power station, refinery process furnaces, LPG, liquid propylene, and 6 grades of polypropylene. This model is intended to be used as a more detailed lower-level GN model in a higher-level GN model that facilitates and optimizes the process of decision making in the petroleum refining industry.

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Section: Discussionmentioning

confidence: 99%

Section: Conflicts Of Interestmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling the Production Process of Fuel Gas, LPG, Propylene, and Polypropylene in a Petroleum Refinery Using Generalized Nets

Stratiev,

Dimitriev,

Stratiev

et al. 2023

Mathematics

Self Cite

View full text Add to dashboard Cite

show abstract

“…The processes that take place in an oil refinery where multiple products are produced from a single raw material (crude oil) are generally parallel and their description can be conveniently performed with the Generalized Net (GN, see [1]) toolbox. In the research we have carried out so far related to the modeling of the processes of production of automotive gasoline, diesel fuel for internal combustion engines, and gas products in a refinery, described in the articles [2][3][4], showed the possibility of modeling the production of these products using GNs. The part of the refinery scheme that produces heavy petroleum products has not yet been modeled using GNs.…”

Section: Introductionmentioning

confidence: 99%

Generalized Net Model of Heavy Oil Products’ Manufacturing in Petroleum Refinery

Stratiev,

Dimitriev,

Stratiev

et al. 2023

Mathematics

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Generalized nets (GNs) are a suitable tool for the modeling of parallel processes. Through them, it is possible to describe the functioning and results of the performance of complex real processes running in time. In a series of articles, we consistently describe the main processes involved in the production of petroleum products taking place in an oil refinery. The GN models can be used to track the actual processes in the oil refinery in order to monitor them, make decisions in case of changes in the environment, optimize some of the process components, and plan future actions. This study models the heavy oil production process in a refinery using the toolkit of GNs. Five processing units producing ten heavy-oil-refined products in an amount of 106.5 t/h from 443 t/h atmospheric residue feed, their blending, pipelines, and a tank farm devoted to storage of finished products consisting of three grades of fuel oil (very low sulfur fuel oil (0.5%S) —3.4 t/h; low sulfur fuel oil (1.0%S) —4.2 t/h; and high sulfur fuel oil (2.5%S) —66.9 t/h), and two grades of road pavement bitumen (bitumen 50/70 —30 t/h and bitumen 70/100 —2 t/h) are modeled in a GN medium. This study completes the process of modeling petroleum product production in an oil refinery using GNs. In this way, it becomes possible to construct a highly hierarchical model that incorporates the models already created for the production of individual petroleum products into a single entity, which allows for a comprehensive analysis of the refinery’s operations and decision making concerning the influence of various factors such as disruptions in the feedstock supply, the occurrence of unplanned shutdowns, optimization of the production process, etc.

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An Information Security Engineering Framework for Modeling Packet Filtering Firewall Using Neutrosophic Petri Nets

Madhloom,

Noori,

Ebis

et al. 2023

Computers

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Due to the Internet’s explosive growth, network security is now a major concern; as a result, tracking network traffic is essential for a variety of uses, including improving system efficiency, fixing bugs in the network, and keeping sensitive data secure. Firewalls are a crucial component of enterprise-wide security architectures because they protect individual networks from intrusion. The efficiency of a firewall can be negatively impacted by issues with its design, configuration, monitoring, and administration. Recent firewall security methods do not have the rigor to manage the vagueness that comes with filtering packets from the exterior. Knowledge representation and reasoning are two areas where fuzzy Petri nets (FPNs) receive extensive usage as a modeling tool. Despite their widespread success, FPNs’ limitations in the security engineering field stem from the fact that it is difficult to represent different kinds of uncertainty. This article details the construction of a novel packet-filtering firewall model that addresses the limitations of current FPN-based filtering methods. The primary contribution is to employ Simplified Neutrosophic Petri nets (SNPNs) as a tool for modeling discrete event systems in the area of firewall packet filtering that are characterized by imprecise knowledge. Because of SNPNs’ symbolic ability, the packet filtration model can be quickly and easily established, examined, enhanced, and maintained. Based on the idea that the ambiguity of a packet’s movement can be described by if–then fuzzy production rules realized by the truth-membership function, the indeterminacy-membership function, and the falsity-membership functional, we adopt the neutrosophic logic for modelling PN transition objects. In addition, we simulate the dynamic behavior of the tracking system in light of the ambiguity inherent in packet filtering by presenting a two-level filtering method to improve the ranking of the filtering rules list. Results from experiments on a local area network back up the efficacy of the proposed method and illustrate how it can increase the firewall’s susceptibility to threats posed by network traffic.

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Modelling the Process of Production of Automotive Gasoline by the Use of Generalized Nets

Cited by 4 publications

References 25 publications

Modeling the Production Process of Fuel Gas, LPG, Propylene, and Polypropylene in a Petroleum Refinery Using Generalized Nets

Modeling the Production Process of Fuel Gas, LPG, Propylene, and Polypropylene in a Petroleum Refinery Using Generalized Nets

Generalized Net Model of Heavy Oil Products’ Manufacturing in Petroleum Refinery

An Information Security Engineering Framework for Modeling Packet Filtering Firewall Using Neutrosophic Petri Nets

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