METHOD OF DEVELOPING MODELS OF CHEMICAL AND TECHNOLOGICAL SYSTEMS OF OIL REFINING UNDER UNCERTAINTY
Moldasheva Z. Orazbayeva K. Abdugulova Z. Utenova B. Kodanova S.
2022National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2022#2022Issue 4152 - 170 pp.
At present, many complex technological systems of oil refining and other industries are characterized by uncertainty due to the probabilistic and fuzzy nature of the initial information, which creates problems in developing their mathematical models and optimizing their operating modes. In this regard, the development of models and optimization of their modes of operation of such systems is an urgent scientific and technical problem. This paper proposes and a new and efective approach to the development of a system of mathematical models and the modelling of processes for oil refining, which uses various types of data, for use in conditions of uncertainty brought about by the random nature and fuzziness of input data. The idea and originality of the proposed method lye in the fact that, from the beginning, according to the research results for each unit, and based on the data which has been gathered and the selection criteria, a model is constructed for each unit. Then, in order to model the process as a whole, the models which have been developed are combined to form an integrated system. The method which has been developed has been successfully implemented in the construction of a system of models for the main units of the catalytic reforming installation LG-35-11/300-95 at the Atyrau Refinery. A comparison of existing results, with the results of modelling using the proposed method, and also with experimental data from the LG installation at the Atyrau Oil Refinery shows the efectiveness and advantages of the proposed approach to modelling for complex inter-dependent technological processes. The structure for a system of computer modelling and optimisation for working regimes for technological processes in the oil industry based on the mathematical modelling of their functioning has been proposed.
(DM)-decision maker , computer modelling and optimisation , Mathematical modelling , membership function , reforming plant , technological facilities of the oil industry , theory of fuzzy sets
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L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Esil University, Nur-Sultan, Kazakhstan
Atyrau Oil and Gas University, Atyrau, Kazakhstan
L.N. Gumilyov Eurasian National University
Esil University
Atyrau Oil and Gas University
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