Project Overview

This project develops an agent-enabled, real-time decision-support framework for geothermal systems by integrating subsurface modeling, monitoring data, and data-driven methods into a unified workflow.

The framework builds upon established thermal–hydraulic–mechanical (THM) models and monitoring, measurement, and verification (MMV) data, augmented by AI-based agents that coordinate data retrieval, simulation execution, and scenario evaluation. Rather than replacing physics-based models, the agent layer automates complex modeling and analysis workflows, enabling timely and informed operational decision-making under uncertainty.

By supporting adaptive evaluation of well configurations and operational strategies, the project aims to improve the efficiency, robustness, and scalability of geothermal development. Overall, it provides a flexible digital foundation for next-generation geothermal systems and contributes to reliable, low-carbon energy solutions.