Translation. Region: Russian Federal
Source: Rosneft – An important disclaimer is at the bottom of this article.
Specialists at Rosneft's research institute in Tyumen have developed RN-AutoBalance software, based on neural network modeling technology. This innovative software automatically calculates optimal well operating modes without human intervention, thereby improving the efficiency of mature oil field development.
The neural network algorithms built into RN-AutoBalance analyze the dynamics of process indicators, identify the relationship between production and injection wells, and redistribute injection to those wells that produce the greatest effect.
The software was successfully tested at the Malyk field in the Uvatsky District of the Tyumen Region, where RN-Uvatneftegaz (a Rosneft production asset) produces. Over three months of pilot operations, RN-AvtoBalans optimized the operating modes of 46 injection wells. Total water injection volumes were reduced by 222,000 cubic meters, and oil production increased by 4%.
RN-Avtobalans will be integrated into the RN-KIN corporate software and replicated at other Rosneft fields.
Developing technological potential is a key element of the Rosneft-2030 strategy. The company prioritizes innovation and the use of breakthrough scientific approaches, identifying technological leadership as a key factor in competitiveness in the oil market.
Department of Information and Advertising of PJSC NK Rosneft September 25, 2025
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