Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: II International Conference on Economic and Social Trends for Sustainability of Modern Society; Krasnoyarsk; Krasnoyarsk
Год издания: 2021
Идентификатор DOI: 10.15405/epsbs.2021.09.02.294
Ключевые слова: Toxy+, NeuroPro, neural network method, arctic enterprises, risk
Аннотация: In the world, environmental priorities are becoming increasingly important, especially important for fragile ecosystems such as the Arctic. These territories require close attention, due to the increasing frequency of man-made accidents, the bottling of oil products. Tank farms, which in many ways have already exhausted their desigПоказать полностьюn resource, are becoming a zone of increased attention, but are still in operation. In order to reduce man-made risks caused by depressurization of tanks with oil products, it is necessary to organize continuous monitoring and forecasting of risks, assess possible consequences, organize preventive measures, and develop response plans in the event of emergencies. It is necessary to create complex security systems at an accelerated pace to prevent and eliminate the consequences of natural and man-made emergencies in the Arctic zone. The work solved the problem of modelling the development of events during emergency bottling of oil products at a tank farm in the Arctic zone of the Krasnoyarsk Territory. The assessment of the area of bottling of oil products into the reservoir has been carried out. Modelling of emergency situations was carried out using the “Toxy+” risk software product, and the neural network forecasting methodology using the neural network simulator “NeuroPro”, developed at the Institute of Computational Modelling of the Federal Research Center of the KSC SB RAS to estimate the bottling area until the moment of localization. Comparison of the analytical method for determining the area of the oil spill in a reservoir and the neural network method is made.
Журнал: European Proceedings of Social and Behavioural Sciences EpSBS
Выпуск журнала: Volume 116
Номера страниц: 2641-2651
Место издания: Krasnoyarsk, Russia
Издатель: ISO LONDON LIMITED - European Publisher