Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting

Industrial development and active development of resources in the territory of the fragile Arctic ecosystem requires proper control of technological processes at enterprises located in these areas. Analysis and subsequent modelling of oil and oil products spills are performed in order to elaborate p...

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Autores principales:	Moskalev Aleksander, Grebnev Yaroslav
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/e559d7e0242f4404b53b8d9563b04135
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spelling	oai:doaj.org-article:e559d7e0242f4404b53b8d9563b041352021-11-12T11:44:23ZPetroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting2267-124210.1051/e3sconf/202132001012https://doaj.org/article/e559d7e0242f4404b53b8d9563b041352021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/96/e3sconf_esei2021_01012.pdfhttps://doaj.org/toc/2267-1242Industrial development and active development of resources in the territory of the fragile Arctic ecosystem requires proper control of technological processes at enterprises located in these areas. Analysis and subsequent modelling of oil and oil products spills are performed in order to elaborate preventive measures concerning emergencies, means and methods of their liquidation being constantly ready to ensure safety of people and territories, as well as to reduce damage and losses as much as possible in case of their occurrence. The methods of oil product spill area assessment used at present, especially in the Arctic zone, have a number of limitations. This article presents modelling of the process of oil products spill to calculate pollutants concentration distribution and prediction of pollution area up to the moment of its localization with the application of neural network methods. The empirical results were got with NeuroPro neural network simulator and the PHOENICS software product were chosen. The simulation results were correlated with the data obtained in the analysis of an accident caused by depressurization of an aircraft fuel transfer pipeline from on an oil-loading pier on a river in the Arctic zone of Krasnoyarsk Krai.Moskalev AleksanderGrebnev YaroslavEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 320, p 01012 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Moskalev Aleksander Grebnev Yaroslav Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting
description	Industrial development and active development of resources in the territory of the fragile Arctic ecosystem requires proper control of technological processes at enterprises located in these areas. Analysis and subsequent modelling of oil and oil products spills are performed in order to elaborate preventive measures concerning emergencies, means and methods of their liquidation being constantly ready to ensure safety of people and territories, as well as to reduce damage and losses as much as possible in case of their occurrence. The methods of oil product spill area assessment used at present, especially in the Arctic zone, have a number of limitations. This article presents modelling of the process of oil products spill to calculate pollutants concentration distribution and prediction of pollution area up to the moment of its localization with the application of neural network methods. The empirical results were got with NeuroPro neural network simulator and the PHOENICS software product were chosen. The simulation results were correlated with the data obtained in the analysis of an accident caused by depressurization of an aircraft fuel transfer pipeline from on an oil-loading pier on a river in the Arctic zone of Krasnoyarsk Krai.
format	article
author	Moskalev Aleksander Grebnev Yaroslav
author_facet	Moskalev Aleksander Grebnev Yaroslav
author_sort	Moskalev Aleksander
title	Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting
title_short	Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting
title_full	Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting
title_fullStr	Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting
title_full_unstemmed	Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting
title_sort	petroleum bottling model in the arctic zone of krasnoyarsk region by neural network forecasting
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/e559d7e0242f4404b53b8d9563b04135
work_keys_str_mv	AT moskalevaleksander petroleumbottlingmodelinthearcticzoneofkrasnoyarskregionbyneuralnetworkforecasting AT grebnevyaroslav petroleumbottlingmodelinthearcticzoneofkrasnoyarskregionbyneuralnetworkforecasting
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Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting

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