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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Apr 04, 2022
1.04 GB
Publicly accessible
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Authors
Ahmmed, B. Stanford University
geothermalenergymachine learningartificial intelligenceaiexplorationmodelmodelingprocessed datatraining datatraining datasetremote sensinghidden geothermal resourcesresource detectiondiscoverydevelopmentresourceneural networkprediction

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

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

Jan 24, 2024
1.3 GB
Publicly accessible
Part of the DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments) project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). This was tested...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsegsnewberrymagmatichydrothermalpfamodelingmodellingexploration3d2dfavorabilityomfleapfrogmodelgeodatauncertaintycomponentvolcanogeodata modelprocessed datageophysicscharacterization

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

Snake River (Idaho) Geothermal Drilling Project: Innovative Approaches to Geothermal Exploration

Feb 21, 2014
105.74 MB
Publicly accessible
The goal of our project was to test innovative exploration technologies using existing and new data, and to ground-truth these technologies using slim-hole core technology. The slim-hole core allowed us to understand subsurface stratigraphy and alteration in detail, and to correla...
Authors
Shervais, J. et al Utah State University
geothermalenergyslimhole drillingsnake river plaininnovative explorationkimamakimberlymountain homebasaltrhyolitegeophysicsgeochemistrytechnicalassessmentprocessed dataidahoconceptual model

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

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

Newberry Volcano Joint Active-Source and Teleseismic P-Wave Tomography Slowness Model and Processing Code

Dec 14, 2015
3.54 GB
Publicly accessible
This dataset contains a three-dimensional seismic slowness model and MATLAB processing code derived from P-wave seismic data collected at Newberry Volcano in central Oregon. The associated study combines active-source first-arrival travel times with teleseismic P-wave delay times ...
Authors
Heath, B. et al University of Oregon
geothermalenergynewberry volcanoseismic tomographyp-waveslownessslowness modelvelocity modelactive-source seismologyteleseismic delay timesjoint inversionupper crustmatlabdeepenprocessed datageophysicssuperhot

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

Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada

Nov 09, 2016
132.47 MB
Publicly accessible
This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...
Authors
Folsom, M. et al Ormat Technologies, Inc.
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalprocessed datageophysicsintegrated geologic modelpassive micro-seismicgravitymagnetotelluricspacific dc intertie

Snake River Plain Play Fairway Analysis Favorability Models

Jun 01, 2020
Size unavailable
Publicly accessible
This submission contains a link to two USGS data publications. Each data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis for Phase 1 and Phase 2 (ArcGIS shapefiles and raster files) as well as the model processing scrip...
Authors
DeAngelo, J. et al Utah State University
geothermalenergygissnake river plainplay fairway analysissrppfaidahorasterarcgisshapefileblindresourcecharacterizationgeospatial datafavorabilitymodelgeologicgeophysicalmodelingprocessed data

Value of Information App Webinar Recording

Sep 28, 2026
840.61 MB
Curated
This recorded webinar provides background on the Value of Information (VOI) App and demonstrates how to use the application. The webinar walks through a public example dataset and includes slides and screen sharing to introduce decision analysis, the VOI metric, and the app workfl...
Authors
Trainor-Guitton, W. and Menon, K. National Laboratory of the Rockies
geothermalenergydecision sciencebayesian statisticslabeled dataingeniousgeophiresvalue of informationvoidecision supportdecision analysisgeophysical datageothermal explorationprocessed dataweb appwebinarpresentation recording

DEEPEN: Newberry Volcano MT and Gravity Data 2022 and 2023 Acquisition and Processing

Jun 30, 2023
306.16 GB
Publicly accessible
As part of DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments), a 3D play fairway analysis (PFA) was conducted at Newberry Volcano in Central Oregon for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). For use in this PFA, ...
Authors
Schultz, A. et al Enthalpion Energy
geothermalenergydeepennewberrymtgravityresistivitydensitysingle inversionjoint inversioninversionraw dataprocessed datauncertaintyresolution matrixexplorationcharacterizationegshydrothermalsuperhot egssupercriticalmagmaticgeophysicsmt impedance3-d modeldaily reportsoregonpfaplay fairway analysis

Project Hotspot Petrology, Geochemistry and Stratigraphy of the Kimama core hole, Snake River Plain, Idaho

Mar 19, 2019
Size unavailable
Publicly accessible
This submission contains links to two open source published papers on the Kimama core hole, Project Hotspot. "Volcanic stratigraphy and age model of the Kimama deep borehole (Project Hotspot)" Basalts erupted in the Snake River Plain of central Idaho and sampled in the Kimama dri...
Authors
Shervais, J. et al Utah State University
geothermalenergybasaltslimhole drillinggeochemistryborehole geophysicsprocessed dataidahokimamasnake river plain

Basin and Range Investigation for Developing Geothermal Energy: Exploration Data

Jan 03, 2022
266.32 GB
Publicly accessible
This data package includes exploration material from the Basin & Range Investigation for Developing Geothermal Energy [in Hidden Systems] project (BRIDGE), which is part of a broader initiative to advance the exploration of hidden geothermal resources in the Basin & Range Province...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergybasinrangeexplorationpotential fieldsairborne electromagneticsmagnetotellurics2-metertemperatureinversionconceptual modelnevadadixie valleyhawthornegabbs valleywalker lanegeologic mappinglidar analysisgeochemistrygravitylee allengrover pointhiddenblindclay caphidden systemsblind systemsgeophysicsraw dataprocessed data

Hybrid machine learning model to predict 3D in-situ permeability evolution

Nov 22, 2022
5.58 MB
Publicly accessible
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Authors
Elsworth, D. and Marone, C. Pennsylvania State University
geothermalenergyegsnewberryhydraulicstimulationprocessed datamachine learningpermeability evolutionhydraulic fracturinginduced seismicityegs collabseismic data analysiswellhead pressureflow ratefracture permeabilitymicroearthquakeenhanced geothermal systems

Model results and data for Nontechnical Barriers to Geothermal Development

Jul 25, 2022
73.96 kB
Publicly accessible
Data included in this submission support the analysis conducted for the report "Nontechnical Barriers to Geothermal Development" which is linked bellow. These data include information about the power purchase agreements (PPAs) analyzed for the report, inputs and model results for ...
Authors
Rabinowitz, H. et al Pacific Northwest National Laboratory
geothermalenergyppapro formanontechnical barriersexcelprocessed dataostipower purchase agreementfeasibilityeconomiccostregression analysisassessmentu.s. department of energy office of scientific and technical informationelectricitypower production

GIS Resource Compilation Map Package Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
831.16 MB
Publicly accessible
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups incl...
Authors
Brown, S. et al Nevada Bureau of Mines and Geology
geothermalenergynevadamachine learningmap packagegispcanmfbnnannelmgeochemistrygeophysicsheat flowslip and dilationstructureplay fairwaypfaexplorationcharacterizationgreat basindlipdilationgeodatabasehydrothermaldatamodelsprocessed datapaleo-geothermal featurestest sittessupervisedunsupervisedcultural

Dataset for report: Non-Technical Barriers to Geothermal Development in California and Nevada

Mar 10, 2022
66.68 MB
Publicly accessible
In California and Nevada, geothermal projects are subject to non-technical barriers, which may create development delays leading to higher project costs and risks and decreased competitiveness with other electricity generation technologies. These non-technical barriers may include...
Authors
Levine, A. et al National Renewable Energy Laboratory
geothermalenergycalifornianevadasalton searegulatorybarriersnon-technicalinterviewsenvironmentalstakeholdersnon-technical barriersntbgeoreportseatpermitenvironmental reviewauthorizationseconomiclcoecostfeasibilityprocessed dataannual technology baselineatbimperial countychurchill county

Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study

Apr 30, 2022
15.3 MB
Publicly accessible
This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection su...
Authors
Vasco, D. and Chan, C. Array Information Technology
geothermalenergyseismic velocity modelseismic resolution3d p-wave3d s-waveseismicraw dataprocessed datawell 16a-32utah forge

Utah FORGE: Phase 3 Native State Model 2022 Update

Jul 29, 2022
326.43 MB
Publicly accessible
This is the Phase 3 native state model update. The Phase 3 numerical model represents a significant subsurface volume below the FORGE site footprint. The model domain of 4.0 km x 4.0 km x 4.2 km is located approximately between depths of 4000 to 4200 meters below land surface. Thi...
Authors
Podgorney, R. and Liu, R. Idaho National Laboratory
geothermalenergyutah forgenative state modelstresspressuretemperature16a78-3256-3258-3278-3278b-32fracturespore pressurereservoir potentialraw datasimulationmodelinputinput filesprocessed datawater

Utah FORGE: Discrete Fracture Network (DFN) Model (2025 v1) 3D Visualization Via the Seequent Central Public Viewer

Jan 08, 2026
664.3 kB
Publicly accessible
Visualize the Utah FORGE DFN model in three-dimensional space using the Seequent Central public viewer. 131 discrete planar fractures have been interpreted by Aleta Finnila (https://gdr.openei.org/submissions/1750) from various data sets obtained during the 2022 and 2024 stimulati...
Authors
Jones, C. and Finnila, A. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedfndiscrete fracture networksequent3d dfnfracture model3d fracture modelsequent central public viewer3d visualizationprocessed datahydraulic stimulationmicroseismic datafracture interpretation16a78-3216b78-32planar fracturesmodelvisualizationgeophysicsgeomechanics

Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)

May 23, 2019
413.08 kB
Publicly accessible
This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...
Authors
Johnston, H. and Young, D. National Renewable Energy Laboratory
geothermalenergyenergy storagenatural gasunconventional shalegeocaesmodelwellgeothermal energy storagegeothermal reservoirsurface plantfeasibilitytechnologytestechnicaltechnical assesmentcodeprocessed data

Utah FORGE: Earth Model Mesh Data for Selected Surfaces

Dec 07, 2018
20.83 MB
Publicly accessible
This submission contains a number of data files with vertices of meshed/interpolated surfaces used in the Phase 2B earth model. Examples include land surface (based on 10-meter DEM), the granitoid-basin fill contact, several faults, and also interpolated temperature isosurfaces f...
Authors
Podgorney, R. Idaho National Laboratory
geothermalenergystudent competitionearth modelforgeroosevelt hot springsutahdemdigital elevation modelgeospatial datacoordinateisosurfacefaultstructurestructuraldatalocationland surfacetemperatureopal moundnegro magegsmilfordenhanced geothermal systemutah forgemodelingmodellingmesh datagranitoidtoptopographygeologybasin fillresourcecharacterizationprocessed data
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