Young Rosneft Engineers' Projects Honoured at Scientific and Technical Conference
Rosneft's Scientific Institute organised the 19th conference for young professionals in the Science and Gas Business sectors in Tyumen. A total of 130 innovators from the Company's enterprises presented the projects.
Projects involving information technology and the application of artificial intelligence in the oil and gas sector were the primary focus of the participants' attention. Experts from the Tyumen research institute have proposed a methodology involving neural network analysis for the purpose of accurately estimating oil and gas reserves. By comparing seismic survey data with geophysical well log data, the neural network improves the accuracy of the geological model by 10–20%, even under challenging geological conditions. The methodology has already been tested at several of the Company's fields and has proven its efficiency.
An AI assistant project was also recognised for its innovative approach, utilising specialised algorithms to automate the planning and optimisation of drilling programmes for fields in the late stages of development. When testing was conducted using data from drilled wells, the digital assistant demonstrated an accuracy rate exceeding 80%, thus underlining its high reliability. This intelligent solution offers a number of key benefits, including the ability to calculate flow rate more quickly, facilitate well placement planning, and conduct a technical and economic assessment of field development.
Experts from the Ufa research institute have unveiled an online service for the digitalisation of production processes involved in the interpretation of hydrodynamic well studies, including the use of machine learning methods. The programme automatically collects and processes data from oil wells and ranks those wells where geological and engineering measures are required to increase oil production. By the end of 2025, this technology had increased the number of studies conducted at RN-Yuganskneftegaz's fields without requiring additional resources. The efficiency of geological and engineering measures has increased by 5%.
In addition to innovative ideas in the field of smart technologies, the young professionals presented over 100 projects in the following subject areas: geology and geological exploration, well and rock research, hydrogeology, the exploration of gas and gas condensate fields, and scientific experiments.
An employee of a research institute based in Moscow has developed a method for optimising the industrial gas drying process. In order to achieve this objective, he proposed an approach combining the calculation of the plant's operating parameters (material and heat balances of the flows) with computational fluid dynamics (CFD) modelling. Adopting this approach has significantly increased the average service life of the plant prior to its scheduled major overhaul and reduced operating costs by a factor of 6.5.
A specialist at Rosneft's research institute in Krasnoyarsk has developed two new methods for interpreting seismic data. These methods improve the accuracy of predictions regarding the reservoir properties of rocks by 30%. These new methods have been recommended for implementation in fields in Eastern Siberia.
An expert panel has selected the technological solutions with the greatest potential for implementation within the industry. The winners of this conference stage will present their projects in Moscow. Over the two decades that such conferences have been held, young professionals from the Company's enterprises have presented over 4,000 projects, a quarter of which were recommended for implementation in production and generated economic benefits exceeding 5.6 billion roubles.
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Rosneft
July 1, 2026