Translation. Region: Russian Federation –
Source: Peter the Great St. Petersburg Polytechnic University –
An important disclaimer is at the bottom of this article.
A communication session between Gazprom Neft universities and partners was held in Moscow. A key part of the discussion was mechanisms for strengthening research collaboration between educational institutions and industry-specific companies. The Polytechnic University was represented at the event by Dmitry Bogdanov, Director of the Gazpromneft-Polytechnic Scientific and Educational Center, and Inga Shustik, Chief Specialist at the Scientific and Educational Center. Shustik delivered a strategic presentation, presenting the educational program and outlining the philosophy behind personnel training, where each element is structured as an engineering system.
Over its 11 years of operation, the REC has created an educational ecosystem. As the speaker emphasized, the line between academic knowledge and practical application has been blurred. The center's engineers also serve as student mentors, and completed projects serve as case studies.
We prepare students for work by immediately immersing them in real production processes, Inga Shustik outlined our approach.
Events like these are an opportunity to receive feedback from the industry. We see a growing demand for specialists who can work at the intersection of disciplines. Our goal is to create an environment where theory is immediately reinforced by practice. This approach allows graduates to join companies as specialists, not interns, noted Dmitry Bogdanov.
The presentation focused on the Master's program "Mathematical Modeling of Oil and Gas Production Processes." According to Inga Shustik, this is not just an educational track, but a "social elevator" into the profession. 70 percent of students find employment at the REC while still studying, and 80% of graduates remain within Gazprom Neft.
Inga Shustik also discussed innovative courses in detail. The two-semester course "Fundamentals of Digital Engineering" includes theory and practice with generative neural networks, optimization methods, and real-world production challenges.
We teach students not just how to use AI, but how it changes the entire value chain—from exploration to production,” the speaker explained.
Of particular importance in the training of specialists is the participation of undergraduate and graduate students in the KNTN-3 project "Artificial Intelligence for Solving Cross-Industry Problems" under the leadership of Ivan Zhdanov as part of the Priority 2030 program, where they are working on the creation of a software platform for the automation of seismic data processing.
As part of the educational track, students are already solving modern projects.
Creation of PINN models for pressure prediction Development of transformers for GIS data interpretation Generative models for geological and geophysical data analysis
This integration of education, science, and production creates the basis for Russia's technological sovereignty in the oil and gas industry.
Our graduates join companies not as interns, but as fully-fledged specialists, ready to solve complex engineering problems, the speaker concluded.
The presented model demonstrates how modern education can become a driver of change in traditional industries, creating a talent pool for future technological leadership.
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