AI Tunes Up Oil Wells in Russia for Maximum Efficiency
Rosneft scientists in Tyumen have built a neural network system that can autonomously fine-tune oil wells, cutting costs and boosting output. The breakthrough could reshape how Russia approaches resource extraction and energy sustainability.
Rosneft’s researchers in Tyumen have developed a computer program called RN-AutoBalance, which uses artificial intelligence to automatically adjust oil well operations for maximum efficiency. The system reduces costs and increases crude output, strengthening not only Rosneft’s position but also Russia’s global competitiveness in the oil and gas sector. The innovation points to a more rational and tech-driven way of tapping resources, essential for the sustainable development of the country’s energy complex.
According to the company’s press service, the new system is powered by neural network algorithms. It processes massive data sets and selects optimal operating modes for the equipment without human intervention. That’s particularly critical for complex oilfields, where manual adjustments take too long and often fail to capture all the variables.
The practical benefits of the technology have already been proven at one of Rosneft’s key assets—the Malyk oilfield. Just three months after deployment, the AI optimized 46 wells. As a result, the system reduced water injection volumes by 222,000 cubic meters, conserving resources. At the same time, oil output rose by 4%.
