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High-Temperature Inorganic Self-Healing Inorganic Cement Composites

Sep 13, 2017
1.42 MB
Publicly accessible
The data files below summarize the results from various experiments testing properties of high-temperature self-healing inorganic cement composites. These properties include cement-carbon steel bond strength, Young's modulus recovery, matrix recovery strength, and compressive stre...
Authors
Pyatina, T. and Sugama, T. Brookhaven National Laboratory
geothermalenergycarbon steelbond strengthcement-carbon steel bond strength recoveryhigh temperature cementself-healinghigh tempself healingstrength recoveryrepeated damagehigh temperaturescement compositesaged samplesclaypozzolanself-healing cementhigh temperaturepozzolanachemicalinorganiccementhigh-tempcompositeintegritytechnologywellbore

Utah FORGE: Pump and Probe Test on an Intact Westerly Granite Sample

May 21, 2024
3.95 GB
Publicly accessible
This dataset contains results from a pump and probe experiment conducted on an intact Westerly Granite sample with a diameter of 1 inch and a height of 1 3/8 inches. The experiment was performed within an aluminum triaxial pressure vessel (TEMCO) to investigate the non-linear acou...
Authors
Klinghammer, H. et al Pennsylvania State University
utahtriaxialacousticsexperimentconfiningaxialprobingtransducerverasonicstemcoraw datalvdtpump and probegeomechanicsgeophysicswesterly graniteaxial pressure

Utah FORGE: Pump and Probe Test on a Mated Fracture Westerly Granite Sample

May 19, 2024
4.45 GB
Publicly accessible
This dataset contains results from a pump and probe experiment conducted on a mated fracture Westerly Granite sample with a diameter of 1 inch and a height of 2 7/8 inches. The experiment was performed within an aluminum triaxial pressure vessel (TEMCO) to investigate the non-line...
Authors
Klinghammer, H. et al Pennsylvania State University
utahforgeexperimentraw datatransduceracousticswesterlygraniteverasonicsaxialconfiningtriaxialtemcolvdtpump and probegeomechanicsgeophysicswesterly granitemated fractureaxial pressure

Utah FORGE: Laboratory Shear Experiments Linking Fault Roughness, Friction, Permeability, and P-Wave Characteristics

Aug 20, 2025
23.22 GB
Publicly accessible
This dataset contains results from five laboratory shear experiments on gneiss and granitoid samples from the Utah FORGE site, conducted at Penn State University. The experiments investigate links between fault surface roughness, frictional behavior, permeability, and P-wave acous...
Authors
Eijsink, A. et al Pennsylvania State University
geothermalenergyfrictionroughnessutah forgeegslaboratory datamodeled datashear experimentsfault mechanicspermeabilityp-waveacoustic transmissivityfault roughnessrate-and-state frictionbiaxial deformationgneissgranitoidoptical profilometrykeyencersfit3000mechanical dataacoustic datafault zone propertiesgeomechanicsrock physicsgeothermal reservoir characterization

Utah FORGE: Triggered 3-Component Surface Nodal Seismic Waveforms from the April 2022 FOAL 1 Experiment

Jun 30, 2026
736.6 MB
Publicly accessible
This package contains triggered 3-component surface nodal seismic waveforms recorded during the FOAL 1 experiment, or FORGE Observation Array Linear #1, which occurred during the April 2022 hydraulic stimulation of well 16A(78)-32 at the Utah FORGE EGS site. This data was utilized...
Authors
Kim, J. et al Rice University
geothermalenergyegsutah forgeforgemicroseismichydraulic stimulationfoal 1forge observation array linear16a32-32april 2022microseismicityinduced seismicitypassive seismic monitoringsurface nodal array3-component seismic datasmartsolominiseedstationxmlevent catalogwell trajectoryfogmoregeophysicsseismic dataprocessed data

DEEPEN: Final 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

Jan 24, 2024
1.3 GB
Publicly accessible
Part of the DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments) project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). This was tested...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsegsnewberrymagmatichydrothermalpfamodelingmodellingexploration3d2dfavorabilityomfleapfrogmodelgeodatauncertaintycomponentvolcanogeodata modelprocessed datageophysicscharacterization

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada
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