Search GDR Data

Showing results 1 - 2 of 2.
Show results per page.
Order by:
Available Now:
Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"finite difference"×
Well Logging and Testing×

Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

Aug 30, 2024
973.4 kB
Publicly accessible
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 stresses in far-field were obtained by solving an inverse problem based on the near-...
Authors
Lu, G. et al University of Pittsburgh
geothermalenergyutah forgein-situ stress estimationphysics-based modelingfinite element methodmachine learning modelthermo-poro-mechanical effectwell loggingvelocity-to-stress relationshipmachine learningfemreporttechnical report16a78-32mlegs2-2439v2principal stressstress predictionfar-fieldpre-cooling

Utah FORGE: Chemical-Based Tool Deployment Data for Inflow Detection at Wells 58-32 and 16B(78)-32 Summer 2024 Circulation Test

Mar 31, 2025
57.32 MB
Publicly accessible
This dataset comprises field logging data collected during chemical-based tool deployments at the Utah FORGE geothermal site, specifically at monitoring well 58-32 and production well 16B(78)-32. Data acquisition occurred during the Summer 2024 circulation testing campaign, with t...
Authors
Sausan, S. et al Stanford University
geothermalenergychloridechemical toolwirelineutah forgeisegeothermal loggingchloride sensorion-selective electrodeinflow detection58-3216b78-32chemical logging toolpoohpull out of holerihrun in holehigh-temperature toolcirculation testpressure-temperature-depthfield logging dataelectrochemicalchloride concentrationfracture characterizationreservoir charecterizationraw dataprocessed datatechnical reportvisualizations