Methodological approaches to modelling extractive industry processes Sakha Republic (Yakutia)
In recent years the demand for fuel, energy and mineral resources of the Republic of Sakha (Yakutia) has been growing. Due to the redirection of raw material exports from the west to the east with the construction of the ESPO and Power of Siberia pipelines, special attention is being paid to the oil...
| Published in: | E3S Web of Conferences |
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| Format: | Article in Journal/Newspaper |
| Language: | English French |
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EDP Sciences
2024
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| Online Access: | https://doi.org/10.1051/e3sconf/202453101019 https://doaj.org/article/33bdf3a829f04866a1f3d2e160730663 |
| Summary: | In recent years the demand for fuel, energy and mineral resources of the Republic of Sakha (Yakutia) has been growing. Due to the redirection of raw material exports from the west to the east with the construction of the ESPO and Power of Siberia pipelines, special attention is being paid to the oil and gas resources of Western Yakutia and the coal resources of Southern Yakutia. Large mining companies operate in the region: Gazprom, Kolmar, Surgutneftegaz, Polyus, and others. How long they will continue their production activities in the region and how these activities will affect the socio-economic development of the region is the subject of research by many scientists. In this regard, modelling of extractive industry processes for long-term forecasting and planning is a highly relevant task. In the article, based on the analysis of existing approaches to modelling of extractive industry processes, the methodological approach most suitable for the deposits of the Republic of Sakha (Yakutia) is selected - the method of correlation and regression analysis with methodological tools for solving forecasting and planning problems. Since most of the phenomena and processes in the economy are constantly interrelated, the study of their dependencies and interrelations between objectively existing phenomena and processes plays an important role in the economy. It provides an opportunity to better understand the complex mechanism of cause-and-effect relationships between phenomena. |
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