Gazprom Neft Unveils Permafrost Forecasting Model for Arctic Development
Gazprom Neft develops model to forecast permafrost changes to 2050
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Gazprom Neft has developed a digital model to forecast permafrost conditions in Yamal, Russia, until 2050. This system aims to enhance safety and efficiency in industrial projects across the Arctic by predicting changes in perennially frozen soils, crucial for infrastructure stability.
- 01Gazprom Neft's new model forecasts permafrost changes in Yamal until 2050.
- 02The digital system will aid in environmentally friendly industrial development in the Arctic.
- 03It utilizes data from over 3,500 wells and satellite surveys for accurate predictions.
- 04The model covers over 15,000 square kilometers of the Yamal Peninsula.
- 05A new center for permafrost research and technology development has been established in Tyumen.
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Gazprom Neft, based in Novy Urengoy, Yamalo-Nenets Autonomous Region, Russia, has introduced a digital model designed to forecast permafrost conditions in Yamal through 2050. This initiative is crucial as the cryolithozone, which comprises over 60% of Russia's territory, is a state priority for monitoring and assessment. The model will support industrial projects in the Far North by providing accurate predictions about perennially frozen soils, which are vital for the stability of infrastructure such as buildings, roads, and utility networks. Alexander Dyukov, CEO of Gazprom Neft, emphasized the model's potential to enhance environmentally friendly development in the Arctic. The system integrates data from 3,500 engineering and geological wells, satellite observations, and field studies, covering an area of 15,000 square kilometers in the western part of the Yamal Peninsula. Additionally, Gazprom Neft has established a center in Tyumen for developing efficient technologies in hydrocarbon production while studying and preserving permafrost.
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This model will significantly improve the safety and efficiency of construction and industrial projects in the Arctic, ensuring infrastructure stability in a challenging environment.
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