Due to the development goals of technological sovereignty of the Russian Federation, by 2030 the oil and gas industry will be in need of qualified employees with advanced digital skills, willingness to manage high-tech equipment and the ability to quickly deal with challenges, including using artificial intelligence at various production stages. It is important for today's students to learn how to work in conditions of accelerated development of digital technologies and robotics and to analyze big data in order to effectively apply advanced technologies. The Tyumen Petroleum Research Center (TPRC) successfully implements the personnel training for Rosneft Oil Company and the entire industry through high-quality practice-oriented training at specialized departments of TPRC at the Tyumen universities. To ensure the educational process, TPRC provides proven original educational and methodological materials. Specialists and experts in subject areas are involved to lecture in professional disciplines and guide research papers and individual projects of students. This improves the quality of practical training of future specialists and forms their willingness to perform specific production tasks after getting a degree. Participation in the educational process of TPRC within the established specialized departments, high-quality internships in the production departments of the scientific center, the study of domestic high-tech software, and the involvement of leading practicing engineers in the educational process allow to train specialists who will be adjusted to modern professional conditions.
References
1. Manapov T.F., Optimizatsiya i monitoring razrabotki neftyanykh mestorozhdeniy (Optimization and monitoring of oil field development), Publ. of VNIIOENG, 2011, 296 p.
2. Gracheva S.K., Improvement of research and academic process in Tyumen Industrial University based on interaction with Tyumen Petroleum Research Center and application of digital technologies (In Russ.), Neftyanaya provintsiya, 2023, no. 4(36), pp. 239–243, DOI: https://doi.org/10.25689/NP.2023.4.239-243
