Applied GeoAI for subsurface imaging

Program introduction

This program covers the practical application of AI to high-resolution subsurface imaging, connecting raw geophysical data to actionable geological insight, and using AI to reduce uncertainty in resource exploration rather than replace judgment entirely.

Program scope

The training covers end-to-end GeoAI workflows. Participants learn to deploy AI models for real tasks: automated structural interpretation, lithology prediction, and identifying groundwater, mineral, and energy reservoirs.

Program topics

AI-driven structural and stratigraphic interpretation:

• Automated fault and horizon tracking
• Predictive modeling for mineral and water resources
• Uncertainty quantification in GeoAI outputs
• Real-world case studies: from data to discovery

Courses & teaching materials

Materials are built to show the practical value of GeoAI, with complete workflows that integrate geological constraints with machine learning predictions.

Target audience

Graduate students, researchers, and professionals interested in applying machine learning and deep learning to modern seismic processing and imaging workflows.