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Newberry Caldera Conceptual Geologic Model

Mar 04, 2016
Size unavailable
Publicly accessible
Conceptual model for the Newberry Caldera geothermal area. Model is centered around caldera and evaluates geologic information in tandem with some geophysical datasets to derive a conceptual subsurface model. Includes: Geologic information from the USGS geologic map of Newberry...
Authors
Moser, M. et al National Energy Technology Laboratory
geothermalgeologic modelegsenhanced geothermal systemnewgennewberryoregonfaultsstructureseismicconceptual modelsubsurface modelgeologygeologicalmodelconceptual

Hotspot Project: The Snake River Geothermal Drilling Project Initial Report

Jan 01, 2012
1.71 MB
Publicly accessible
The Snake River volcanic province (SRP) overlies a thermal anomaly that extends deep into the mantle; it represents one of the highest heat flow provinces in North America. The primary goal of this project is to evaluate geothermal potential in three distinct settings: (1) Kimama ...
Authors
Shervais, J. et al Utah State University
geothermalhotspot projectbasaltgeophysicalkimamakimberleygravitymagneticseismicloggingidahoaquifersnake rivervolcanic provinceplainhotspotexplorationrhyolitedrillingdownholelithologylithologic logstratigraphic column

Newberry Caldera Conceptual Geophysical Model

Mar 04, 2016
Size unavailable
Publicly accessible
Conceptual model for the Newberry Caldera geothermal area. Model is centered around caldera and evaluates multiple geophysical datasets to derive a conceptual subsurface model. Includes: Conductor layer based on transient electromagnetic data from Fitterman et al., 1988 (figure...
Authors
Moser, M. et al National Energy Technology Laboratory
geothermalenhanced geothermal systemegsnewgennewberryoregongravityseismicconceptual modelsubsurface modelgeologic modelstructuregeophysicsfaultsmtmagnetotelluricmodelconceptualgeophysicalcaldera

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