Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress Final Report
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This comprehensive technical report documents a multi-component approach to in-situ stress characterization at the Utah FORGE EGS site that integrates Machine Learning (ML) methods for predicting near-well principal stresses around geothermal wells with the physics-based finite el...
