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Utah FORGE: Interferometric Synthetic Aperture Radar Data from 2023 and 2024

Jul 17, 2024
19.15 GB
Publicly accessible
The dataset comprises Interferometric Synthetic Aperture Radar (InSAR) data from the TerraSAR-X and TanDEM-X satellite missions, covering the Utah FORGE site. This data includes interferometric pairs created using GMT-SAR processing software, chosen for their short orbital separat...
Authors
Batzli, S. and Feigl, K. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsinsarterrasar-xtandem-xsatelliteremote sensingnetcdfgmt-sardemdigital elevation model

Graph Theory for Analyzing Pair-wise Data: Application to Interferometric Synthetic Aperture Radar Data

Jul 28, 2016
3.96 MB
Publicly accessible
Graph theory is useful for estimating time-dependent model parameters via weighted least-squares using interferometric synthetic aperture radar (InSAR) data. Plotting acquisition dates (epochs) as vertices and pair-wise interferometric combinations as edges defines an incidence gr...
Authors
Reinisch, E. University of Wisconsin
energyporotomoinsartime seriestemporal adjustmentgraph theoryporoelastic tomographythesispapermodelparametersmodelingtime-dependenttime-varyingweighted least-squaresinversionradarinterferometricsynthetic aperturelaplaciancovariancematrixmatlabgraphtreetaalaskaakokmokvolcanomagmavolumemethodimplementationapplicationviscousflowviscoelastic relaxationremote sensing

Programs and Code for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
710.72 kB
Publicly accessible
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Authors
Moraga, J. Colorado School of Mines
geothermalenergycodershell scriptsgeothermal aimachine learningself organizing mapk-meanspythonaiartificial intelligencedeep learningexplorationgeothermal explorationremote sensingblindsite detectionlstland surface temperaturenumpyrastertensorflowk meananomaly detectionlandsat adr lstsbatchslurmshell

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

Lightning Dock Geothermal Field GIS Data

Aug 19, 2026
1.34 GB
Curated
This submission houses geospatial data for the Lightning Dock geothermal (LDG) field in the Animas Valley, Hidalgo County, south-western New Mexico. LDG is a liquid-dominated system produced for binary (ORC) power generation. In this submission shp and tif files are zipped with al...
Authors
Ifrene, G. et al Zanskar Geothermal
geothermalenergygeospatiallightning dockgiswaterchemistrywell datageologicaltemperaturegeophysicalaeromagneticgravitylidarfaults

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

Jun 30, 2023
413.96 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Authors
Pauling, H. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfaprocessed dataexplorationcharacterizationdatasetsgeodata3dmodelingdemlidarmtmagnetotelluricsgravitydensityresistivityearthquake catalogseismicvelocitytemperature modelgeologic modelalteration modelwell data
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