Applied GeoAI for Subsurface Imaging

Program Introduction

This program focuses on the practical application of Artificial Intelligence to solve high-resolution subsurface imaging challenges. It bridges the gap between raw geophysical data and actionable geological insights, using AI to accelerate discovery and reduce uncertainty in resource exploration.

Program Scope

The training emphasizes "End-to-End" GeoAI workflows. Participants learn how to deploy AI models for real-world tasks: from automated structural interpretation and lithology prediction to the identification of groundwater, mineral, and energy reservoirs. The program highlights the economic and environmental impact of AI-driven geophysics.

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

The materials for this program are designed to demonstrate the industrial value of GeoAI. They include complete workflows that integrate geological constraints with machine learning predictions.

Target Audience

This program is designed for graduate students, researchers, and professionals interested in applying machine learning and deep learning techniques to modern seismic processing and imaging workflows.