Translation. Region: Russian Federal
Source: Rosneft – An important disclaimer is at the bottom of this article.
Rosneft is developing the digital transformation of the industry by creating advanced technological solutions based on artificial intelligence. Specialists from the Company's Tyumen research center have developed and implemented a software solution using large language models*. The innovation reduces the routine workload associated with searching, checking and formatting text information by 70-80%.
The virtual assistant works on the basis of simple text queries, without a complex interface and settings, and is actively used to solve various problems, from geology to field development design. The program performs a quick search and analysis of information in archives, extracts key parameters, compares data from different sources, prepares documents and generates program codes for calculations. The greatest effect of the new development is achieved when it is necessary to promptly process gigantic volumes of unstructured information, for example, in the process of analyzing historical data of fields that have been in development for a long time.
By automating routine processes, the digital assistant speeds up information processing by 5-10 times, eliminating the possibility of errors and ensuring guaranteed data accuracy. The use of artificial intelligence speeds up the analysis of field data and facilitates optimal decision-making.
Development of technological potential is one of the key elements of the corporate strategy "Rosneft-2030". The company gives priority attention to innovation activities, defining technological leadership as a key factor in competitiveness in the oil market.
Large Language Model (LLM) is an artificial intelligence program that can recognize and generate text.
Department of Information and AdvertisingPJSC NK RosneftJuly 28, 2025
Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.
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