Fervo Energy, Nvidia, and PNNL to build geothermal digital twin

Fervo Energy (Nasdaq: FRVO), Nvidia, and Pacific Northwest National Laboratory (PNNL) announced an agreement to develop a digital twin platform for Enhanced Geothermal Systems (EGS) technology, called EGS-Twin, according to a press release issued June 22, 2026.

The platform is designed to integrate real-time field data with physics-based modeling and AI-driven forecasting to provide insight into subsurface behavior and operational performance. PNNL researchers will use field data from Fervo to train AI models on Nvidia AI infrastructure, which will then be integrated into Nvidia Omniverse libraries.

PNNL will develop the workflows and data pipelines, drawing on high-performance computing resources including U.S. Department of Energy supercomputing systems to run large-scale simulations. Training will begin using proprietary field data from Fervo's Nevada and Utah sites, with the platform scheduled for full implementation by 2029.

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

The platform will be refined as additional production data becomes available over time.

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