Russian Scientists Develop AI-Driven Tech to Find Oil and Gas in Complex Terrain
The Siberian innovation is already being used in Russia, Uzbekistan, Kazakhstan, and Myanmar to locate hydrocarbon-rich zones faster and more accurately.
Researchers at the Institute of Oil and Gas Geology and Geophysics of the Siberian Branch of the Russian Academy of Sciences (SB RAS) have developed a machine-learning-based technology that identifies oil- and gas-bearing layers in challenging geological formations. According to the institute, the method has already been adopted internationally, including in Uzbekistan, Kazakhstan, and Myanmar.
Faster, smarter, and more precise
At the core of the system are custom algorithms that leverage machine learning to process and model geophysical data with exceptional speed and accuracy. Compared to conventional methods, computation time has been cut dramatically while maintaining high precision.
Currently, the technology is being deployed at the Siberian Research Institute of Geology, Geophysics, and Mineral Resources, where it’s used to interpret well log data for major oil and gas fields across Russia and Central Asia.
The breakthrough underscores Russia’s growing reliance on AI-enhanced geological modeling, which could help the energy sector reduce costs and improve exploration efficiency—especially in regions with complex subsurface conditions.
