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Utah FORGE: Tensor Strainmeter Data for the April, 2024 Stimulation of Wells 16A(78)-32 and 16B(78)-32

Sep 09, 2025
4.44 MB
Publicly accessible
This dataset contains time series data from the four Tensor Optical Fiber Strainmeters at Utah FORGE, recorded during all stages of the April 2024 hydraulic stimulations of wells 16A(78)-32 and 16B(78)-32. The data span from midnight UTC on April 4 through April 18, 2024, and are ...
Authors
Murdoch, L. Clemson University
geothermalenergystrainstrainmeterutah forgetensor strainstimulationforgeoptical fiberegshydraulic stimulationprocessed data16a78-3216b78-32strain datageomechanicstime seriesbarometric pressureslurry ratetreatment pressuregeothermal reservoirstimulation monitoring

Utah FORGE: Video of Utah FORGE Drilling Planning for Production Well 16B(78)-32

Mar 03, 2023
10.06 MB
Publicly accessible
This is a YouTube video containing the specifics of well planning for Utah FORGE 16B(78)-32. This well will be drilled as a doublet approximately 300 feet parallel to and above 16A(78)-32 and will be drilled between approximately April 15th and July 17th 2023.
Authors
McLennan, J. Energy and Geoscience Institute at the University of Utah
geothermalenergywell planningutah forgewell 16b78-32well planning videoegsdrillingdoublet pairfiber opticstress measurementvibrationsinjection testingcirculation testingprocessed data

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog from Double-Difference Seismic Tomography

Jun 01, 2020
12.59 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog obtained for a double-difference seismic tomography study. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for we...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergy3d seismic structureinteractivesurfegs collabp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationegsgeophysicsseismicmicroseismictomographyvelocitymicroearthquakemicro-earthquakemeqe1-pe1-ipassive source sensor3dmodelingvisualizationcatalogprocessed data

DCIF Westerly Granite AE Stress Effect Test (Task 3-1)

Jul 08, 2021
216.62 MB
Publicly accessible
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on rectangular Westerly granite blocks (width=depth=4.0", height=2.0"). Liquid nitrogen was poured in a small, 1"-diameter copper cup attached to the top of the sample, and the resulting acoustic emissions (A...
Authors
Nakagawa, S. and Trzeciak, M. Lawrence Berkeley National Laboratory
geothermalenergythermal fracturingstress measurementfracturingprocessed datageophysicsstress testinggranitewesterly granitestressmicrofracturefracturedatatemperatureacoustic emissionacoustic emission locationacoustic emission rate

DCIF (Directional Cooling-Induced Fracturing) Westerly Granite AE Borehole Damage Effect Test (Task 3-0)

Jan 27, 2022
162.51 MB
Publicly accessible
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on three rectangular Westerly granite blocks (width=depth=4.0", height=2.0") which were preheated to 200, 400, and 600 degree C to induce damage (microcracks) with varying degrees. Liquid nitrogen was poured...
Authors
Nakagawa, S. Lawrence Berkeley National Laboratory
geothermalenergydirectional cooling induced fracturingdcifdirectional cooling-induced fracturingdamage effect testfracturemicrocrackthermal stressacoustic emissionaccousticsthermal fracturefailure testraw dataprocessed datastressbiaxial stresswesterly graniteborehole damage effecttestwesterlygranite

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

Apr 20, 2020
6.74 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergyegs collab3d seismic structuretransfer learningdeep learningmachine learninginteractivesurfp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationgeophysicsmodelingvelocitymodelmicroseismicitycatalogtransfer-learningdouble-difference tomography3dseismicmeqprocessed datageospatial data

Value of Information App Webinar Recording

Sep 28, 2026
840.61 MB
Curated
This recorded webinar provides background on the Value of Information (VOI) App and demonstrates how to use the application. The webinar walks through a public example dataset and includes slides and screen sharing to introduce decision analysis, the VOI metric, and the app workfl...
Authors
Trainor-Guitton, W. and Menon, K. National Laboratory of the Rockies
geothermalenergydecision sciencebayesian statisticslabeled dataingeniousgeophiresvalue of informationvoidecision supportdecision analysisgeophysical datageothermal explorationprocessed dataweb appwebinarpresentation recording

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

Jan 30, 2023
725.34 MB
Awaiting release
This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Authors
Taverna, N. et al Upflow
geothermalenergymachine learninggoomlpower plantoptimizationgenetic optimizationregressionneural networkoperationssynthetic datakahunanuiforecasthindcastdata curationinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsprocessed datapythonjupyter notebookmodelmodelingcode