Fervo Energy Company, the global pioneer of next-generation geothermal energy trading as FRVO on NASDAQ, announced on June 22, 2026 an agreement with NVIDIA and the Pacific Northwest National Laboratory to develop EGS-Twin, a next-generation digital twin platform for Enhanced Geothermal Systems technology.

EGS-Twin is designed to deliver real-time insight into subsurface behavior and operational performance through the integration of high-resolution field data with physics-based modeling and AI-driven forecasting. To build the platform, PNNL researchers will use Fervo's industry expertise and field data to train scalable AI models on NVIDIA AI infrastructure. The trained AI models will then be integrated into the NVIDIA Omniverse libraries, enabling geothermal operators to more quickly identify and respond to subsurface changes, optimize power generation, and strengthen the scalability of enhanced geothermal systems.

Jack Norbeck, Fervo's Chief Technology Officer and co-founder, stated that "We believe that digital twins will expedite the learning curve for geothermal development as we build and operate our GeoBlock assets. Integrating high-fidelity physics-based models with AI-driven forecasting has the potential to reshape reservoir management, improve heat recovery, and enhance system reliability."

PNNL will develop the workflows and data pipelines, leveraging high-performance computing including U.S. Department of Energy supercomputing resources to run large-scale simulations. Using proprietary field data from Fervo's Nevada and Utah sites, the PNNL team will begin training the digital twin immediately and continue refining the platform as additional production data becomes available, with implementation scheduled for 2029.

The collaboration represents a major step toward integrating AI and advanced computing into clean energy to support the deployment of 24/7 carbon-free power to meet growing global energy demand.