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Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments

May 05, 2021
Size unavailable
Publicly accessible
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...
Authors
Marone, C. Pennsylvania State University
geothermalenergyseismicactive sourcelaboratoryfriction experimentultrasonicgeophysicsmicroseismicitylab dataraw datawaveformsmechanical datapreprocessedmatlabacousticsacousticbiaxial testing apparatusultrasonic acoustic monitoring systemmachine learningdeep learningaiartificial intelligenceseismic forecastingearthquake forecastingfault

Utah FORGE: Data for 3-D Model Development Lithology, Temperature, Pressure, and Stress

Mar 17, 2020
25.73 MB
Publicly accessible
This submission comprises two downloadable .zip archives. Each archive contains spreadsheets with 3-D data and a .txt document describing the data. The Mesh Files .zip download contains data regarding the lithologic contacts of the granitoid and overlying sedimentary basin fill. T...
Authors
Podgorney, R. Idaho National Laboratory
geothermalenergyutah forgeforge3-d modellingearth modellithologic contactspressurestresslithologyutahtemperature datamodelingraw datapreprocessedegstemperature3dmilfordmesh filegranitoidbasin fillinitial conditionsnumericalmodelreservoirresourcecharacterizationroosevelt hot springs

Utah FORGE: Phase Native State FALCON Model Files

Jun 06, 2019
11.78 MB
Publicly accessible
The submission includes FALCON input file and mesh for the an initial pressure-temperature simulation, and a second set for pressure-temperature-displacement simulation. All simulations are steady state. Data and input for the FORGE Phase 2 native state model were compiled from hi...
Authors
Podgorney, R. Idaho National Laboratory
geothermalenergyfalconforgenative stateutahroosevelt hot springsmilfordegsenhanced geothermal systemengineered geothermal systemutah forgecodesimulationscprocessed datapreprocessed dataraw datageospatial data3-d modellinggeologytemperaturestresspressurecharacterizationmodeling3-d modelinglithologymesh fileinputslithologic contacts

Utah FORGE: InSAR Data from 2021

Nov 30, 2021
1.19 GB
Curated
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Authors
Batzli, S. and Feigl, K. University of Wisconsin
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsraw datapreprocessed datainsarremote sensing

Utah FORGE: InSAR Data from 2022

Nov 30, 2022
350.4 MB
Curated
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Authors
Batzli, S. and Feigl, K. University of Wisconsin
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsraw datapreprocessed datainsarremote sensing

Utah FORGE: InSAR Data from 2020

Dec 24, 2020
982.9 MB
Curated
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Authors
Batzli, S. and Feigl, K. University of Wisconsin
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsraw datapreprocessed datainsarremote sensing

Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
179.02 GB
Publicly accessible
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasebrady hot springsbradyartificial intelligenceaibrady wellseismicremote sensinghyperspectralgeospatial databasedeep learningmachine learningexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datanevadaarcgismodeldatabasehydrothermalgeophysicsradargisblindblind systemdeformationgeophysicalhyperspectral imagingconceptual modelfaultpreprocessedrastervectorfield datageospatial data

Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
59.5 GB
Publicly accessible
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasenevadadesert peakartificial intelligenceairaw dataprocessed dataremote sensinghyperspectralmachine learningdeep learningexplorationarcgismodelsite detectionanomaly detectiongeothermal site detectiondatabasehydrothermalgeophysicsradarshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellgisblindblind systemhyperspectral imaginggeophysicaldeformationconceptual modelfaultpreprocessedgeospatial data

Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
148.82 GB
Publicly accessible
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasesalton seaartificial intelligenceaideep learningmachine learningseismicremote sensinghyperspectralhyperspectral imaginggeospacial databaseexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datacaliforniaarcgisgismodeldatabasehydrothermalgeophysicsradarblindblind systemdeformationgeophysicalconceptual model faultpreprocessedrastervectorfield datageospatial data

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

May 05, 2021
11.59 GB
Publicly accessible
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Authors
Zhu, T. Pennsylvania State University
geothermalenergycodedeep learningmachine learningaiartificial intelligenceegsenhanced geothermal systemsengineered geothermal systemsnewberryoregonnewberry volcanomlraw dataprocessed datamicroseismicitynumpywaveformpreprocessedpythonnewberry volcanic sitemicroearthquakemeqseismicgeophysicsgeophysical