Задача Управления Процессом Каталитического Риформинга И Метод Ее Решения

Matveikin, V. G.; Дмитриевский, Борис Сергеевич; Кокуев, Андрей Геннадьевич; Джамбеков, Азамат Матифулаевич

doi:10.18799/24131830/2019/6/2127

Cited by 5 publications

References 2 publications

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Improving the efficiency of technological units for the production of high-quality motor fuels using fuzzy mathematics methods

et al. 2021

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This paper investigates the problems of increasing the efficiency of technological installations of oil refineries, which produce high-octane and environmentally friendly motor fuels. We used methods of mathematical modeling and fuzzy mathematics to maximize the volume of gasoline produced and improve its quality indicators, taking into account the imposed restrictions. On the basis of a systematic approach, an effective methodology is created for the development of a package of models of interconnected plant units using available information of a different nature, including fuzzy information. The resulting package of models makes it possible to systematically simulate the work of the unit under study and to increase the efficiency of the facility by increasing the volume of manufactured target products and improving its quality indicators. There are presented results of the analysis and expert assessment of the catalytic reforming unit LG-35-11/300-95 and the choice of the optimal type of model for individual units. A scheme is being created for combining the developed models into a single package of models. On the basis of the proposed methodology, hybrid models are being developed that make it possible to determine the volume of produced catalyzate and its quality indicators.

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Improving the efficiency of technological units for the production of high-quality motor fuels using fuzzy mathematics methods

et al. 2021

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Methods for developing models and decision making in a fuzzy environment for effective control of the coking process

Orazbayev,

Orazbayeva,

Dyussembina

et al. 2024

Preprint

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The paper studies the problems of developing fuzzy and linguistic models of poorly formalized production facilities using available fuzzy information and other types of data. Since known methods do not allow us to effectively solve these problems in a fuzzy environment, we propose a systematic method and a heuristic approach to decision making for the effective objects control in a fuzzy environment. The proposed system method makes it possible to develop fuzzy, linguistic models of complex objects, and a heuristic approach to the formulation and solution of the adoption problem - to adequately and effectively solve the problem of fuzzy described objects control. In the proposed heuristic method of fuzzy decision making, effective control of the coking process is ensured through the maximum and effective use of fuzzy information representing the experience, knowledge and intuition of the decision maker, experts. Using the proposed system method, fuzzy and linguistic models of the studied coking reactors of the delayed coking unit of the Atyrau refinery were developed. A computer modeling system has been created that allows, as a result of modeling, to select the optimal operating modes of coking reactors. Based on the developed models using the proposed heuristic decision-making method, modifying and combining the principles of maximin and Pareto optimality, the problem of effective control of the delayed coking process was successfully solved. Comparison of the obtained results with the results of known methods and real data shows the advantages, efficiency and high adequacy of the proposed methods in a fuzzy environment. The practical significance of the results obtained is that they can be adapted and successfully applied in modeling and decision making for the effective complex objects control in a fuzzy environment.

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Control of continuous technological processes in oil refining by the example of catalytic reforming under uncertainty

Dzhambekov

2024

Oil and Gas Technologies and Environmental Safety

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Using the example of catalytic reforming, a scientific description of the task of managing continuous techno-logical processes in oil refining under uncertainty has been performed and an appropriate management approach has been developed. It is proposed to take into account the influence of disturbances in the systems of automatic control of parameters (temperature, level, flow and pressure) in the unit for stabilizing the catalysate in the catalytic reforming unit. These parameters are important characteristics of the catalysate stabilization unit, whose indicators characterize the quality of functioning of the entire catalytic reforming complex. The problem of control for continuous technological processes in oil refining is solved using the example of catalytic reforming under uncertainty by solving the following tasks: development of a procedure and selection of methods for optimizing these processes; development of optimization algorithms for these processes; application of an optimization algorithm for these processes in order to calculate optimal control values; ensuring the stability of automatic control systems (stabilization) of the parameters of these processes. The management of these processes consists in finding optimal controls that contribute to achieving a minimum of a single criterion of op-timality, taking into account disturbances and constraints. The development of a control system for catalytic reforming provides a more efficient control option for catalytic reforming with the most important positive effects: a decrease in the average annual organizational costs for the technological process by 86.74 million rubles. with no increase in the octane number for gasoline produced, an increase in the average octane number for gasoline produced by 1.1 with no decrease in the amount of organizational costs for the technological process.

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Задача Управления Процессом Каталитического Риформинга И Метод Ее Решения

Cited by 5 publications

References 2 publications

Improving the efficiency of technological units for the production of high-quality motor fuels using fuzzy mathematics methods

Improving the efficiency of technological units for the production of high-quality motor fuels using fuzzy mathematics methods

Methods for developing models and decision making in a fuzzy environment for effective control of the coking process

Control of continuous technological processes in oil refining by the example of catalytic reforming under uncertainty

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