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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...

Vesselinov, V. Los Alamos National Laboratory

Mar 29, 2021
4 Resources
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Data for "Uncontained Ruptures Reduce Energetics of Triggered Seismicity"

This study presents a unified model for forecasting the maximum magnitude of earthquakes triggered by fluid injection. The model incorporates fault pre-stress and distinguishes between two rupture regimes: contained ruptures, where slip is limited to the pressurized zone, and unco...

Elsworth, D. et al Pennsylvania State University

Apr 13, 2026
14 Resources
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Awaiting curation

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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Data for "Uncontained Ruptures Reduce Energetics of Triggered Seismicity"