Artificial intelligence in geophysics: Opportunities and risks

• Date: 2025
• Main Author: Bakhova, N.I.
• Format: Article
• Language: English
• Published: S. Subbotin Institute of Geophysics of the NAS of Ukraine 2025
• Subjects: artificial intelligence; algorithm; seismology; Tomsk school of Geothermy; interpretation of logging data
• Online Access: https://journals.uran.ua/geofizicheskiy/article/view/322463
• Journal Title: Geofizicheskiy Zhurnal

The article briefly reviews some artificial intelligence methods successfully used to process and interpret logging data and for seismology and geothermy. The possibilities of artificial neural networks, the Support Vector Machines, the Random Forest method, and genetic algorithms are highlighted. T...