Russia Uses AI to Evaluate CO₂ Storage Sites and Optimize Oil Recovery

Lukoil is deploying artificial intelligence to assess underground carbon storage reservoirs, detect geological faults, and improve oil production efficiency.

Russian energy company Lukoil has successfully applied AI tools to analyze the suitability of geological formations for long-term CO₂ storage. According to the company’s sustainability report, the technology can identify tectonic faults, reducing the risk of leaks and improving safety.

Following successful field trials, Lukoil plans to expand AI use across other operations, including remote monitoring of hazardous sites and the deployment of neural network systems such as language models and speech recognition technologies.

The company has also introduced a digital system to manage mature oil fields. Using machine learning, the system adjusts well operations to decrease water cut and increase oil recovery rates. This platform is already in use at 29 oil fields in Western Siberia and the Perm region.

Lukoil previously announced that it aims to complete evaluation of over 2,000 potential CO₂ storage sites by 2026. The deployment of advanced technologies reinforces Russia’s standing as a leader in the digital transformation of the oil and gas industry.