Translation. Region: Russian Federation –
Source: Peter the Great St. Petersburg Polytechnic University –
An important disclaimer is at the bottom of this article.
Representatives of Gazprom Neft paid a working visit to Peter the Great St. Petersburg Polytechnic University. The key topic of the meeting was summing up the results of joint work for 2025 and strategic planning for further development within the framework of the Priority 2030 program in the KNTN-3 area "Development of Artificial Intelligence Technologies," headed by Yuri Fomin, SPbPU Vice-Rector for Research.
The event was attended by company executives and experts, as well as the Polytechnic University's research team, which comprises four key structures.
Gazpromneft-Polytech Scientific and Educational Center. Laboratory for Digital Modeling of Industrial Systems. Laboratory for Industrial Stream Data Processing Systems. Laboratory for Modeling Technological Processes and Design of Power Equipment.
The meeting participants focused on discussing the results achieved last year and approving roadmaps for 2026 in five priority areas.
Using AI to Process Primary Field Surveys (the GeT project) involves developing algorithms to automate the interpretation of geophysical data in the early stages of exploration. Creating a concept for new seismic data processing methods based on neural networks involves increasing the accuracy and speed of seismic signal processing for the construction of detailed subsurface models. Digital Modeling: developing an approach to evolutionary refinement of an ensemble of geological and hydrodynamic models (Evo Modeling) involves creating dynamically updated models of oil and gas assets capable of adapting to incoming data. Risk Management: implementing intelligent systems to support robust decision-making under uncertainty—tools that help select optimal field development strategies taking into account multiple factors. An AI assistant to support the activities of systems engineers in the energy sector is an intelligent assistant that automates routine tasks and helps specialists focus on complex engineering solutions.
The KNTN-3 project, implemented in close cooperation with Gazprom Neft, demonstrates the effectiveness of the "science-education-industry" partnership model. Joint developments are already being applied in real-world production processes, reducing time and cost.
We are developing specific roadmaps that will yield measurable results within a year. Our laboratories operate as a unified mechanism, and the involvement of our industrial partner at all stages—from problem setting to implementation—allows us to create solutions that are truly in demand by the industry," noted Yuri Fomin.
Gazprom Neft's Director of Science, Mars Khasanov, praised the results of their joint work and emphasized the importance of developing AI. He stated that the agreements reached will take their collaboration to a new level, ensuring the integration of Polytechnic University's cutting-edge developments into the company's production processes.
The partners approved work plans for 2026 and agreed to regularly monitor interim results to promptly adjust tasks.
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