Russian Scientists Develop AI for Enhanced Rock Analysis

May 15, 2026

47 min

May 15, 2026 00:30

Russian scientists patent AI solution for rock mechanics

## AI Revolutionizes Core Sample Analysis

Researchers at Innopolis University in Tatarstan have patented an AI-driven software that significantly improves the analysis of rock core samples. This innovative system automates the detection of geological features such as cracks, faults, and veins in core sample images, enhancing analysis accuracy by up to ten times.

## How the System Works

The AI solution employs a two-stage process using a neural network. Initially, images of core boxes are analyzed to identify and map sections to specific depths. Subsequently, an AI model segments each section, creating a digital fingerprint with detailed characteristics and depth coordinates.

## Benefits and Future Prospects

This technology is particularly effective in identifying complex geological structures that impact the stability of wells and quarries. It matches the classification accuracy of experienced geologists in 70% of cases. The system is expected to advance core material studies in mining and construction, offering rapid and objective rock analysis.

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