title: Ð£Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ ÑÐ¸ÑÐºÐ°Ð¼Ð¸ Ð¿ÑÐ¸ Ð¾ÑÐ²Ð¾ÐµÐ½Ð¸Ð¸ Ð½ÐµÑÑÑÐ½Ð¾Ð³Ð¾ Ð¼ÐµÑÑÐ¾ÑÐ¾Ð¶Ð´ÐµÐ½Ð¸Ñ Ð½Ð° Ð°ÑÐºÑÐ¸ÑÐµÑÐºÐ¾Ð¼ ÑÐµÐ»ÑÑÐµ Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ ÑÐµÑÑÑÑÐ½Ð¾Ð¹ Ð¾Ð³ÑÐ°Ð½Ð¸ÑÐµÐ½Ð½Ð¾ÑÑÐ¸ (Ð½Ð° Ð¿ÑÐ¸Ð¼ÐµÑÐµ ÐÐÐ Â«ÐÐ°Ð·Ð¿ÑÐ¾Ð¼ Ð½ÐµÑÑÑ Ð¨ÐµÐ»ÑÑÂ»)
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Risk management in the development of an oil field on the arctic shelf under limited resources ( on the example of PJSC Gazprom neft shelf )
Creators: name: Ð¡Ð¼ÐµÐ»ÐºÐ¾Ð²Ð°, ÐÐ½Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐ¸ÑÐºÐ¸ Ð² Ð½ÐµÑÑÑÐ½Ð¾Ð¹ Ð¾ÑÑÐ°ÑÐ»Ð¸
Ð½ÐµÑÑÑÐºÐ¾-Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ
Ð½ÐµÑÑÑÐ½Ð¾Ðµ Ð¼ÐµÑÑÐ¾ÑÐ¾Ð¶Ð´ÐµÐ½Ð¸Ðµ
ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ ÑÐ¸ÑÐºÐ°Ð¼Ð¸
risks in the oil industry
fuzzy set model
oil field
risk management

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description: The given work is devoted to analyzing the risks of an oil field in the current realities of limited resources, the formation of risk mitigation measures for Gazprom Neft Shelf PJSC. The research set the following goals: Form categories of risks in the oil industry caused by resource constraints. Build a fuzzy-multiple model to determine the levels of risks. Determine the dynamics of the levels of the considered risks in the period from 2015 to 2022. Determine the main factors influencing the level of risks in the development of an oil field. Propose measures to reduce the risk levels of the most significant group in terms of the degree of influence in the development of an oil field on the Arctic shelf - the Prirazlomnoye field of Gazprom Neft Shelf PJSC. The relevance of the topic is due to the need for an enterprise in the oil industry to organize work in the current geopolitical situation and the post-COVID period, deal with external challenges and look for ways to further develop. The sources of information were data from domestic and foreign research literature, official Internet resources and analytical agencies, parsing tools, automated Python tools, information from the profile organization of Gazprom Neft Shelf PJSC. An adaptive fuzzy-multiple model for assessing risk levels during the development of an oil field on the Arctic shelf in conditions of limited resources is proposed, which can be applied by Russian companies, in particular, Gazprom Neft Shelf PJSC.