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Envisat Track 349 and Sentinel-1A Track 64 Interferometric Synthetic Aperture Radar Data of Coso Geothermal Field, California, USA, 2004-2016

Jun 25, 2019
648.26 MB
Publicly accessible
This submission contains tarred pair directories for interferometric synthetic aperture radar (InSAR) data covering Coso Geothermal Field in California, USA. Explanation of pair subdirectories: Pairs are formed using the InSAR processing software GMT5SAR (Sandwell et al., 2011). ...
Authors
Reinisch, E. and Feigl, K. University of Wisconsin
geothermalenergyinsardemcoso geothermal fieldcaliforniaenvienvisats1asentinel-1aremote sensingcosotrack 349track 64pairgmt5sardigital elevation modelraw dataprocessed datageospatial dataphaseporotomocharacterizationhydrothermalhigh temperatureradar

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

3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

Oct 01, 2021
7.12 MB
Publicly accessible
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...
Authors
Siler, D. and Pepin, J. United States Geological Survey
geothermalenergypca3d geologic modelgeologic modelgeologycharacterizationmachine learningmlbhsbrady hot springsprincipal component analysisproductionstressfaultsrbradyhydrothermalgeologic structureunsupervised3d well datacodegeothermicgeophysics

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Oct 01, 2021
5.68 MB
Publicly accessible
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Authors
Siler, D. et al United States Geological Survey
geothermalenergynmfkbrady hot springsmachine learningmlbhsnonnegative matrix factorization k-meanshydrothermalbradyk-meansclusteringnonnegative matrix factorizationmatrix factorizationgeothermalcloudsmarttensorsunsupervised3d well data3d geologic mapgeologic structurefaultsstressgeologycharacterizationgeologic modelproductioncode

Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

Sep 01, 2020
109.94 MB
Publicly accessible
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: brady_som_output.gri, brady_som_output.grd, brady_som_output.* desert_som_output.gri, desert_som_output.grd, desert_som_outpu...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeothermal explorationhydrothermal mineral alterationsland surface temperaturefault densitypsinsarsubsidenceupliftbrady hot springsdesert peaknevadaconvolutional neural networkfallonmachine learningmodelhydrothermalmineraltemperaturerastergeospatial datageotifftraining datatraining dataset

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

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

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

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

Steptoe Valley NV Data Compilation: Understanding a Stratigraphic Hydrothermal Resource through Geophysical Imaging

Nov 01, 2023
1.43 GB
Publicly accessible
Sandia National Laboratories partnered with a multi-disciplinary group of subject matter experts to evaluate a stratigraphic geothermal resource in Steptoe Valley, Nevada using both established and novel geophysical imaging techniques. Provided here are a compilation of newly acqu...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergynevadasteptoe valley3d geological modelmtgeochemistryhydrothermalstratigraphygeophysicsmagnetotelluricscsemelectromagneticsgravitygeologymodelingreflectionseismicleapfrogseismic reflectionwater sampleprocessed dataraw datacontrolled-source electromagneticleapfrog energyfeasibilityaqueous

Coso Geothermal Spectral Library for Rocks and Minerals

Aug 23, 2023
380.31 MB
Publicly accessible
An integrated open mineral spectral library designed to enhance the utility and precision of mineral spectral data for geothermal exploration, developed from a reliable and comprehensive digital dataset for seamless sharing by integrating field data, the USGS spectral library, and...
Authors
Cavur, M. et al Mining Engineering Department of Colorado School of Mines
geothermalenergyhydrothermalspectroscopyspectral databasecosogeologycoso geothermal fieldgcfcaliforniaspectral libraryhydrothermal alterationalteration mineralsspectral dataelemental enrichmentscanning electron microscopyx-ray fluorescencespectrometry

PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion

Dec 18, 2018
198.67 GB
Publicly accessible
Included here are Distributed Acoustic Sensing (DAS) data collected by the horizontal DAS array at Brady's Hot Springs Geothermal Field. The system recorded this data during an M 2.3 explosion at the Nevada Test Site (NTS), which is located approximately 400km southeast of the fie...
Authors
Kratt, C. et al Center for Transformative Environmental Monitoring Programs (CTEMPs)
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicaldasbradys hot springsdtsporotomoseismicgeophysicsdas datasgyseg-ydistributed acoustic sensingdistributed temperature sensinghydrothermaltrenchedsurface sensorsseismicityraw data

SSGF Trace Element Concentrations

Jan 08, 2026
706.57 kB
Awaiting release
Presented are trace element concentrations of minerals from the Salton Sea Geothermal Field (SSGF), located in the Imperial Valley, California. With a recent increase in demand for lithium, the area is actively being studied as a source of geothermal brine for lithium extraction. ...
Authors
Kovalick, A. et al University of California Riverside
geothermaltrace elementssalton sea geothermal fieldrocksmineralhydrothermallithium valleygeothermal brineraw dataimperial countyssgfimperial valleyrare earth elementsreecritical mineralsmnznconibrine-rock reactionrock samplesbrine samplesrhyolitic domesdurmid hillsschmitt and hulenca 2-14wellschemistryfluid chemistrygeochemistrysalton sealithium extraction

Validation of Innovative Exploration Technologies for Newberry Volcano: Drill Site Location Map

Jan 01, 2012
1.82 MB
Publicly accessible
Newberry seeks to explore "blind" (no surface evidence) convective hydrothermal systems associated with a young silicic pluton on the flanks of Newberry Volcano. This project will employ a combination of innovative and conventional techniques to identify the location of subsurface...
Authors
Jaffe, T. Davenport Newberry Holdings, LLC
geothermalnewberryhydrothermalegsblind hydrothermal systemnewberry volcanooregoninnovative exploration technologiesdrill site mapenhanced geothermal systemsmapwelllocationwell locationdrillplutonsilicicvolcanocalderaietexplorationdrillingtopotopography

Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report

May 15, 2013
81.69 MB
Publicly accessible
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Authors
Iovenitti, J. AltaRock Energy Inc
geothermaldixie valleyegshydrothermal systemfavorability/trust mappingexplorationconceptual modelbaseline modelmodelbaselineappendicessupporting dataseismic datawell datageologic maps

EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model

Dec 13, 2024
1.86 MB
Publicly accessible
This report examines improvements to the representation of geothermal resources and technologies, including hydrothermal, near-field, and deep enhanced geothermal systems (EGS), in EPRI's US-REGEN capacity expansion model. Using updated datasets from the National Renewable Energy ...
Authors
Molar-Cruz, A. and Johnson, N. National Renewable Energy Laboratory
geothermalenergycapacity expansion modelegshydrothermalus-regenenergy systems modelingcarbon capture and storageccstemperature-based classificationgeothermal cost assumptionsenergy planningrenewable energytechnology assessmentresource disaggregationpower generation modelingreedseprinreltechnical report

Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report

May 15, 2013
3.56 MB
Publicly accessible
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Authors
Iovenitti, J. AltaRock Energy Inc
geothermaldixie valleyegshydrothermal systemfavorability/trust mappingnevadamethodologyconceptual report

Utah FORGE: Mineral Mountains West Fault System Report

Jul 01, 2019
25.06 MB
Publicly accessible
This archive contains a report on the Mineral Mountains West fault system as part of phase 2C and the evidence for the northern terminus of this structure. Geologic field mapping, reprocessing of 3D seismic reflection data, and soil gas surveys contributed to this effort.
Authors
Simmons, S. and Miller, J. Energy and Geoscience Institute at the University of Utah
geothermalenergymineral mountainsutah forge phase 2cutah forgegeologic structurefaultsutah forge faultsmineral mountains west fault systemnorth milford valleyutahstructural geologysoil gas geochemistryphase 2c3d seismicgeochemicalgeophysicalgeologicalseismic reflectionfaultwell 58-32hydrothermal fluid flowhydrothermalco2 fluxhelium isotopessoil gasfault mappingsurface mappinggeomorphic analysisstratigraphyforgeegsroosevelt hot springsmilfordgeologygeophysicsgeochemistryseismic

Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report

May 15, 2013
166.64 MB
Publicly accessible
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Authors
Iovenitti, J. AltaRock Energy Inc
geothermaldixie valleyegshydrothermal systemfavorability/trust mappinggiscompressiondilatationmagnetotelluricsgravityseismicwellsfaultstemperaturegeospatial data

Renewable Energy Potential Model: Geothermal Supply Curves

Aug 21, 2023
4.9 MB
Publicly accessible
The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmenta...
Authors
Trainor-Guitton, W. et al National Renewable Energy Laboratory
geothermalenergysmu temperaturessupply curvegeospatialgrid infrastructureexclusionslevelized cost of electricityegsoperating costsfeasibilitymodelrevhydrothermalcapital costsgeothermal location

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

Jun 30, 2023
3.62 GB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. Part of the DEEPEN project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfamodellingmodelingcharacterizationexploration3d2dfavorabilityomfleapfrogmodelgeodatauncertaintycomponent

Rare Earth Element Concentrations in Submarine Hydrothermal Fluids

Oct 27, 2017
2.13 MB
Publicly accessible
Rare earth element concentrations in submarine hydrothermal fluids from Alarcon Rise, East Pacific Rise, REE concentrations in submarine hydrothermal fluids from Pescadero Basin, Gulf of California, and the Cleft vent field, southern Juan de Fuca Ridge. Data are not corrected to z...
Authors
Fowler, A. and Zierenberg, R. University of California
hydrothermalrare earth elementssubmarineoffshorereegeothermaldataaasgaqueous chemistryventcontent modelngdsusginfluid chemistrygeochemistryaqueousmineral recoverypescadero basingulf of californiacleft ventjuan de fuca ridgealarcon riseeast pacific rise

Renewable Energy Potential Model: Hawaii Geothermal Supply Curves

Jan 13, 2025
102.89 kB
Publicly accessible
This dataset extends the development of the Renewable Energy Potential (reV) model to include geothermal energy, with a specific focus on Hawaii. Provided here are the results of two scenarios that were modeled for geothermal energy in Hawaii: binary enhanced geothermal systems (E...
Authors
Trainor-Guitton, W. et al National Renewable Energy Laboratory
geothermalenergysupply curvegeospatialhawaiirevlevelized cost of energyhydrothermalcapital costgeothermal locationlcoeegspfaplay fairwaysimulationmodelmodel resultsheat mapbinary egsbinary hydrothermaltransmissiongrid connectiondevelopmentfeasibilityproduction metricssupply curves

DEEPEN 3D PFA Index Models for Exploration Datasets at Newberry Volcano

Jun 30, 2023
4.81 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), index models needed to be de...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsmagmatichydrothermalindex modelsfavorabilitypfaexplorationcharacterizationnewberry

Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report

Jan 02, 2014
504.96 MB
Publicly accessible
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The overall project area is 2500km2 with the Calibration Area (Dixie Valley Geothermal Wellfield) being about 170km2....
Authors
Iovenitti, J. AltaRock Energy Inc
geothermaldixie valleyegshydrothermal systemfavorability/trust mappingfinal scientific reportegs exploration methodologybob karlingravitystation locationcomplete bouguer anomalyphil wannamakermagnetotelluricsmetadatadatainversionquantecileana tibulecseismic velocity modelfletcher h ibsergeostatisticsgeophysics
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