New Russian system automates crack and fault detection in drilling core samples Last updated: May 15, 2026 | 04:23 AI researchers at Tatarstan's Innopolis University have created software that automatically detects cracks, faults, veins, breccias, and other structures in drill core photos—boosting core analysis accuracy up to tenfold and accelerating geological modeling of mineral deposits. TVBrics INNOPOLIS, Russia: Experts at Innopolis University have developed an artificial intelligence (AI)-based software solution that automatically identifies cracks, faults, veins, breccias (sedimentary rocks), and other geological structures in photographs of core samples. Core samples are rock specimens extracted during exploratory drilling, according to TV BRICS. Innopolis University stated that the new method will increase the accuracy of core analysis tenfold and speed up the creation of geological models of mineral deposits.…