St Petersburg University and Gazprom are shaping the future of the gas industry
The Advanced Engineering School at St Petersburg University, Gazprom, the Graduate School of Management at St Petersburg University, and Russia’s leading universities are launching a youth scientific and educational project "Enter IT 2.0″.
For students and doctoral students in engineering, the contest, which has been implemented since 2024 as part of the Open Science information platform, offers the opportunity to delve into the field of information technology and gain valuable experience in solving real-world problems in the oil and gas industry. The project is set to ensure that students can apply their theoretical knowledge in practice, receive expert support, and improve their teamwork skills.
This initiative is a vivid example of the implementation of the goals of the state programme "Scientific and Technological Development of the Russian Federation". The Advanced Engineering School at St Petersburg University is committed to preparing high-calibre engineering personnel capable of solving complex problems in various areas of industry and high-tech sectors of the economy. "Enter IT 2.0″ is becoming an effective platform for achieving these goals.
Just like St Petersburg University, Gazprom actively supports young specialists and creates opportunities for professional growth and ambitious innovative solutions. This year, apart from the Higher School of Economics, the project was organised by the Advanced Engineering School at St Petersburg University, the Graduate School of Management at St Petersburg University, and Lomonosov Moscow State University.
The project "Enter IT 2.0″ offers two main areas for developing professional competencies. The first area is focused on artificial intelligence technologies for optimising processes in the oil and gas industry. Students will have the opportunity to research and develop AI solutions aimed at increasing efficiency at all stages of the hydrocarbon life cycle, from exploration and production to transportation, storage and processing. Under the guidance of experienced mentors, the participants will create intelligent systems capable of optimising processes, reducing costs and increasing production safety.
The second area is set to develop and implement machine learning algorithms for analysing large volumes of data obtained during production processes. The goal is to identify hidden patterns, anomalies, and forecast key process parameters. The result will be increased forecasting accuracy, prevention of possible emergency situations, and optimisation of production management.
To participate in the scientific and educational project "Enter IT 2.0″, you must pass the entrance test, available via the link, and fill out a questionnaire by contacting the chat‑bot @Zayti_v_IT_Bot.
Registration is open until 1 March.