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Hydrothermal×

Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments

Feb 07, 2023
Size unavailable
Publicly accessible
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
Authors
Mordensky, S. et al United States Geological Survey
geothermalenergypfahydrothermalenergy assessmentresource assessmentretrospectivemachine learninggeosciencewestern usdata-drivenbias reductionfavorabilitymappingegslow tempprocessed dataresourcecharacterization

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

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

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada

DEEPEN 3D PFA Weights for Exploration Datasets in Magmatic Environments

Jun 30, 2023
62.15 kB
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), weights needed to be develop...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsmagmatichydrothermalweightspfapcaexpertahpanalytical hierarchy processexplorationcharacterization

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

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

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

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

Hawthorne Nevada Deep Direct-Use Feasibility Study Data Used for Geothermal Resource Conceptual Modeling and Power Capacity Estimates

Apr 05, 2020
4.1 MB
Publicly accessible
This data submission includes several data components that were used to develop a conceptual model and power capacity-estimates of two low-temperature geothermal resources that define geothermal prospect A at Hawthorne, Nevada. Data are sourced from a combination of legacy publicl...
Authors
Ayling, B. and Hinz, N. Great Basin Center for Geothermal Energy
geothermalenergyhawthornegeochemistryconceptual modeltemperature logsborehole fracture datahawthorne army depotdirect usenevada2-meter temperaturesalteration mineralsptswell datafluid chemistryddutemperaturefracturexrdwater chemistrysurveycuttingsmodelingcapacityestimatesconceptualhwaad-2hwaad-3hwaad-2ageospatial datalow-tempertaurehydrothermalseservoireservoir compartmentalizationpower capacityimage log

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

Geothermal Water Use: Life Cycle Water Consumption, Water Resource Assessment, and Water Policy Framework

Jun 10, 2014
2.84 MB
Publicly accessible
This report examines life cycle water consumption for various geothermal technologies to better understand factors that affect water consumption across the life cycle (e.g., power plant cooling, belowground fluid losses) and to assess the potential water challenges that future geo...
Authors
Schroeder, J. et al Argonne National Laboratory
geothermalpoweregswaterpolicyhydrothermalbinaryflashwater resource assessmentgetemlife cycle assessmentwater resourcewater consumptionegs flash

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

United States Geothermal Supply Curves 2024

Apr 15, 2025
627.1 MB
Publicly accessible
This data packet contains supply curves and a composite siting exclusion TIFF for EGS and hydrothermal geothermal across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE), levelized ...
Authors
Trainor-Guitton, W. et al National Renewable Energy Laboratory
energypowerenergy analysisgeothermalegsenhanced geothermal systemshydrothermalrevsupply curvecost of energycost of transmissiongeothermal powerrev siting labssitinglabsiting labsupply curvesunited states2024hourly generationsitingcapacitygenerationpower profiles

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

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

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

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
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