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Utah FORGE: Seismic Event Catalogue from the April, 2022 Stimulation of Well 16A(78)-32

Jul 30, 2022
321.47 kB
Publicly accessible
This dataset includes earthquake catalogues for the three stages of the 2022 well 16A(78)-32 stimulation provided by Geo Energie Suisse. Events in these catalogues have been visually inspected. There are additional events of lower signal to noise that were automatically detected. ...
Authors
Dyer, B. et al University of Utah Seismograph Stations
geothermalenergywell 16a78-3216a78-32stimulationutah forge16a78-32 stimulationseismicitystimulation seismicityseismicwellutahforgeraw data

Utah FORGE: TEM and Gravity Data

Feb 05, 2018
1.62 MB
Publicly accessible
This submission includes a gravity data in text format and as a GIS point shapefile and transient electromagnetic (TEM) raw data. Each text file additionally contains location data (UTM Zone 12, NAD83) and elevation (meters) data for that station. The gravity data shapefile was i...
Authors
Hardwick, C. and Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgegravity datagravitygeophysicsroosevelt hot springmilfordmineral mountainsutahgisarcgisgeospatial datageophysicalsurveyshapefileshape filedata reductionbouger anomalycorrectionstransient electromagnetic datatem datageophysical dataroosevelt hot springsgeospatialelectromagneticsfrontier observartory for research in geothermal energyforgetext filetime-domain emtemegsprocessed dataraw data

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython