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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

Tularosa Basin Play Fairway Analysis Model

Nov 15, 2015
4.01 MB
Publicly accessible
This submission contains several shapefiles used for a deterministic PFA, as well as a heat composite risk segment with union overlay, and training sites used for weights of evidence. More detailed metadata can be found in the specific file.
Authors
Brandt, A. University of Utah
geothermalplay fairway analysispfacrstularosabasinnew mexicofort blissmcgregor rangeweights of evidenceheat crsuniondissolvecertaintytrainingsitesheatcompositerisksegmentplayfairwayanalysisshapefileshape filegisarcgisgeospatial data

Tularosa Basin Play Fairway: Weights of Evidence Models

Dec 01, 2015
19.7 kB
Publicly accessible
These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy logic a...
Authors
Brandt, A. University of Utah
geothermalweights of evidenceplay fairway analysispfawofetularosabasinnew mexicotexasexplorationstochasticmodellingmodelstochastic anlysisgeothermal explorationpost probabilityprobabilitygeospatial data

Programs and Code for Subsurface and MultiSite Geothermal Exploration Artificial Intelligence

Sep 01, 2023
337.85 kB
Awaiting release
This dataset provides Python scripts supporting both subsurface and surface geothermal exploration AI models developed for the project "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning." It includes two main components: (1) scripts fo...
Authors
Demir, E. and Duzgun, S. Colorado School of Mines
geothermalenergygeothermal explorationsubsurfacesurfacemulti-siteartificial intelligenceaimachine learningmldeep learninghyperspectral imaging3d modeling2d classificationvoxel dataraster dataland surface temperaturemineral markersk-meansdata processingtensorflowpythoncodegpuexploration

Machine Learning Model Geotiffs Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
590.94 MB
Publicly accessible
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Ma...
Authors
Faulds, J. et al Nevada Bureau of Mines and Geology
geothermalenergyneural networkbayesianannelmbnnprincipal componentpcanmfmachine learningalgorithmplay fairwaynevadapfagreat basingeotiffexplorationcharacterizationinputsoutputsrasterfeature settraining sites

Tularosa Basin Play Fairway Analysis: Weights of Evidence; Mineralogy, and Temperature Anomaly Maps

Nov 15, 2015
915.34 kB
Publicly accessible
This submission has two shapefiles and a tiff image. The weights of evidence analysis was applied to data representing heat of the earth and fracture permeability using training sites around the Southwest; this is shown in the tiff image. A shapefile of surface temperature anomali...
Authors
Brandt, A. University of Utah
geothermaltularosa basinnewmexicotexasoutcrop mineralogyasteregsweights of evidencewofepfatemperatureanomaliythermal infraredsurfaceanomaliestularosabasinnew mexicoplay fairway anlaysisoutcropmineralogygeospatial data

Utah FORGE: 2020-2021 Geothermal Energy/EGS Survey and Results

Jul 20, 2021
4.96 MB
Publicly accessible
The Utah FORGE project collaborated with the University of Utahs Department of Communication on a Capstone course during Fall Semester 2020. The course created a survey to gauge the general populations knowledge of geothermal energy and Enhanced Geothermal Systems (EGS). The surve...
Authors
Yeo, S. and McKasy, M. Energy and Geoscience Institute at the University of Utah
geothermalenergyegsgeothermal surveyegs surveyutah forgegeothermal knowledgeegs knowledgesurveyutahqualtricsraw datadatasurvey resultsconsent formquestionnairetraining data

Tularosa Basin Play Fairway Analysis Data and Models

Jul 11, 2017
1.68 MB
Publicly accessible
This submission includes raster datasets for each layer of evidence used for weights of evidence analysis as well as the deterministic play fairway analysis (PFA). Data representative of heat, permeability and groundwater comprises some of the raster datasets. Additionally, the fi...
Authors
Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyplay fairway analysispfatularosanew mexicoheatpermeabilitygroundwaterexplorationresource assessmenttularosa basinmodelarcgisshapefilegisgeospatial datagis layerprobabilityweights of evidenceraster

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

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

EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)

Feb 04, 2020
11.93 GB
Publicly accessible
This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
Authors
White, M. et al Pacific Northwest National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmodelingtemperatureheat flowdtstracerpressureinjection testflowc-dots
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