-
Federal
Utah FORGE: Well 58-32 Schlumberger FMI Logs DLIS and XML files recent views
Department of Energy —
This zipped data set includes Schlumberger FMI logs DLIS and XML files from Utah FORGE deep well 58-32. These include runs 1 (2226-7550 ft) and 2 (7440-7550 ft). Run... -
Federal
Utah FORGE: Earthquake Information and Data recent views
Department of Energy —
This site contains information and data related to Utah earthquakes. It is maintained by the USGS Earthquake Hazards Program. This site contains information relevant... -
Federal
Utah FORGE InSAR Data from 2022 recent views
Department of Energy —
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs... -
Federal
Utah FORGE: InSAR Data recent views
Department of Energy —
This is the InSAR dataset used in Utah FORGE Phase 2C to augment ground deformation monitoring. It is accompanied by a README.txt file which contains an explanation... -
Federal
Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024 recent views
Department of Energy —
The dataset comprises Interferometric Synthetic Aperture Radar (InSAR) data from the TerraSAR-X and TanDEM-X satellite missions, covering the Utah FORGE site. This... -
Federal
Utah FORGE: Final Topical Report 2018 recent views
Department of Energy —
This is the final topical report for the Phase 2B Utah FORGE project, which is located near Roosevelt Hot Springs, Utah. This PDF format report details results... -
Federal
Utah FORGE: Area Terrain Slope Data recent views
Department of Energy —
This archive contains a terrain slope image, in units of degrees, of the Utah FORGE area near Roosevelt Hot springs. The data was derived from 0.5 m resolution LiDAR... -
Federal
Utah FORGE Project 3-2417: Simulations for Distributed Acoustic Sensing Strain Signatures as an Indicator of Fracture Connectivity recent views
Department of Energy —
This dataset encompasses simulations of strain signatures from both hydraulically connected and "near-miss" fractures in enhanced geothermal systems (EGS). The files... -
Federal
Utah FORGE Project 2439: Machine Learning for Well 16A(78)-32 Stress Predictions - September 2023 Report recent views
Department of Energy —
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum...