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#1 Federal
Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - Final Report
- Organization: Department of Energy
- Dataset Last Updated: December 22, 2025 at 05:42 PM
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...
- pdf
Search relevance: 1.00 | Views last month: 3 | Catalog Last Checked: August 03, 2026 at 01:04 AM
#2 Federal
Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32
- Organization: Department of Energy
- Dataset Last Updated: September 05, 2024 at 03:37 PM
This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal...
- pdf
- html
Search relevance: 1.00 | Views last month: 1 | Catalog Last Checked: August 03, 2026 at 01:01 AM

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