Transform Borehole Image Interpretation with AI & Computer Vision.
Geo Vision
AI-Powered Subsurface Analysis



Overview
Subsurface analysis is critical for infrastructure, mining, and environmental projects but traditional borehole logging is slow, manual, and prone to interpretation errors. Geo Vision changes this.
Built with advanced AI and computer vision, Geo Vision automates borehole image interpretation, delivering accurate, consistent, and professional borehole log reports in a fraction of the time. The result: faster insights, improved reliability, and reduced project costs.
Challenges
Interpreting borehole images involves detecting and quantifying features such as:
- Defect Spacing
- Bedding Angle
- Rock Type
- Color
- Weathering
- Inter bedding
Traditionally, these require expert geologists to manually review images, a process that is slow, subjective, and difficult to scale.
Solution
With AI-driven image analysis, borehole geology automates the detection of key geological parameters, ensuring speed, consistency, and accuracy.
Key Features
How it works?
Upload Borehole Images
Support for common borehole imaging tools (FMI, OBI, acoustic, etc).
AI-Powered Processing
Computer vision models analyze and extract geological features.
Automated Reporting
Generate structured outputs with detected parameters, charts, and visual overlays.
Decision Support
Use results for exploration planning, drilling optimization, or academic research.
Benefits for geoscientists & engineers?
- Save 60–80% of logging time.
- Reduce interpretation errors with AI consistency.
- Lower project costs by streamlining workflows.
- Improve decision-making speed for drilling and construction projects.
- Standardize reporting across teams and contractors.
Who can use Geo Vision?
- Geotechnical engineers seeking faster, more reliable subsurface analysis.
- Mining companies needing scalable borehole interpretation.
- Civil & infrastructure firms conducting site investigations.
- Environmental consultants requiring accurate geological assessments.
Who can benefit?
- Oil & Gas Companies: Faster reservoir characterization and structural mapping.
- Mining Industry: Improved geological modeling and mineral exploration.
- Geotechnical Engineering: Safer and more reliable subsurface stability assessments.
- Academic & Research Institutions: AI-powered tools for geological studies and training.


