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Geochemistry and paleo-geothermal features Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Nov 01, 2020
249.84 kB
Publicly accessible
This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project. A submission linking the full GitHub repository for our machine learning Jupyter Notebooks...
Authors
Faulds, J. and Ayling, B. Nevada Bureau of Mines and Geology
geothermalenergygeochemistrysintertravertinetufapaleo-geothermalnevadamachine learninggeothermometryplay fairwaygeospatial datageospatialcodegeophysicscharacterization

Washington Play Fairway Analysis Geothermal Heat and Permeability Potential Geodatabases

Dec 15, 2015
309.26 MB
Publicly accessible
This file contains file geodatabases of the Mount St. Helens seismic zone (MSHSZ), Wind River valley (WRV) and Mount Baker (MB) geothermal play-fairway sites in the Washington Cascades. The geodatabases include input data (feature classes) and output rasters (generated from modeli...
Authors
Norman, D. et al Washington Division of Geology and Earth Resources
geothermalmount st. helens seismic zonewind river valleymount bakerpermeabilityheatfavorabilityuncertaintyrisksensitivityplay-fairwaywashingtoncascade rangeslip tendencydilation tendencysigma 3maximum coulomb shear stressdisplacementdisplacement gradientmaximum shear strain ratedilational strain ratefaultvolcanic ventintrusive rocktemeprature gradientgeothermometryhot springfumarolegeothermal favorabilitystrain rategisarcgisgeospatial datageodatabasegdbwashington statepfa

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

Washington Play Fairway Analysis Poly 3D Matlab Fault Modeling Scripts with Input Data to Create Permeability Potential Models

May 01, 2017
8.73 MB
Publicly accessible
Matlab scripts and functions and data used to build Poly3D models and create permeability potential layers for 1) St. Helens Shear Zone, 2) Wind River Valley, and 3) Mount Baker geothermal prospect areas located in Washington state.
Authors
Swyer, M. et al AltaRock Energy Inc
geothermalenergyexplorationpoly3dstress modelpermeability potentialfault modelmatlabwind river valleymount bakerst. helens shear zonemount st. helenswashington statesite assessmentresource assessmentinvestigationpfa

Washington Play Fairway Analysis Poly 3D Matlab Fault Modeling Scripts with Input Data to Create Permeability Potential Models

Feb 05, 2015
31.29 MB
Publicly accessible
Matlab scripts and functions and data used to build Poly3D models and create permeability potential GIS layers for 1) Mount St. Helens seismic zone, 2) Wind River Valley, and 3) Mount Baker geothermal prospect areas located in Washington state.
Authors
Swyer, M. AltaRock Energy Inc
geothermalexplorationprospectpoly3dstress modelpermeability potentialslip tendencydilation tendencymicro-seismicityfault modelmatlabcascade rangewind river valleyplay fairwaywashington statewashingtonfavorabilityuncertaintysensitivitylowessdisplacementdisplacement gradientmaximum coulomb shear stresssigma 3mount st. helens seismic zonemount bakerdilation tencency24k geologic fault mappingmt baker100k geologic fault mappingmodelingmodelscriptcodepermeabilityfaultstructuralfeaturesgeologypfa

Python Codebase and Jupyter Notebooks Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 30, 2022
8.37 GB
Publicly accessible
Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, a...
Authors
Brown, S. and Smith, C. Nevada Bureau of Mines and Geology
geothermalenergymachine learningnevadapythonjupytergitcodealgorithmmodelpytorchpandasscriptgeotiffbayesian neural networkartificial neural networkpcanmfkbnnannprincipal component analysisnon-negative matrix factorizationpfaexplorationcharaterizationjupyter notebookgreat basinresultsdatadocumentation

Maps, Models and Data from Southeastern Great Basin PFA

Jun 30, 2017
846.11 kB
Publicly accessible
This submission includes composite risk segment models in raster format for permeability, heat of the earth, and MT, as well as the final PFA model of geothermal exploration risk in Southwestern Utah, USA. Additionally, this submission has data regarding hydrothermally altered are...
Authors
Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyexplorationplay fairway analysisutahheatpermeabilityopalmtmagnetotelluricpfahydrothermal alterationsinterhidden geothermal systemsblind geothermal systemsshapefileshape filearcgisgisgeospatial dataxrdx-ray diffractionmilfordphase 2segbgbgreat basinse great basineasterngeophysicsheat floweastern great basinhydrothermal

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

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

Utilization Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

Sep 30, 2015
9.8 MB
Publicly accessible
This submission of Utilization Analysis data to the Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) is in support of Phase 1 Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. The submission includes data pertinent to th...
Authors
E., T. Cornell University
geothermalappalachian basinwest virginianew yorkpennsylvaniadeep direct usedistrict heatingheat utilizationsurface levelized cost of heatslcohlcohgeothermal play fairway analysisgpfa-abdemandgeophirespfanortheasteastlow temperatureeconomicsrisk factorsplay fairway analysisgeospatial data

SE Great Basin Play Fairway Analysis Heat and Permeability CRS

Nov 15, 2015
805.9 kB
Publicly accessible
Within this submission are multiple .tif images with accompanying metadata of magnetotelluric conductor occurrence, fault critical stress composite risk segment (CRS), permeability CRS, Quaternary mafic extrusions, Quaternary fault density, and Quaternary rhyolite maps. Each of th...
Authors
Brandt, A. University of Utah
geothermalutahse great basinexplorationplay fairway analysispfacrscomposite risk segmentmtcritical stresspermeabilitybasaltfaultrhyolitequaternarymapmagnetotelluricconductoroccurencefluid flowlineamentsfaultsquaternary faultsfault densityprobabilityeasterngreat basineastern great basindatageospatial data

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

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

Oregon Cascades Play Fairway Analysis: Faults and Heat Flow Maps

Nov 15, 2015
2 MB
Publicly accessible
This submission includes a fault map of the Oregon Cascades and backarc, a probability map of heat flow, and a fault density probability layer. More extensive metadata can be found within each zip file. For information about "Oregon Faults," contact John David Trimble, Oregon Sta...
Authors
Trimble, J. University of Utah
geothermaloregoncascadesfaultmapdensityprobabilitykrigingheatflowheatflowplay fairway analysispfacomposite risk segmentcrsoregon state universityfault densityheat flowfaultsgeologystructuralfeaturesgeospatial data

Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Aug 18, 2016
128.01 MB
Publicly accessible
*These files add to and replace same-named files found within Submission 559 (hover over file display names to see actual file names in bottom-left corner of screen)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-st...
Authors
Camp, E. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexreservoir flow capacityrpi rfcgpfa-abpfageothermal play fairway analysisexplanationmetadatafile descriptionmethodsreservoirssensitivity analysismonte carloshapefilegisgeospatial datanypawvcounty boundariescsvnortheastern united stateslow temperature

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

INGENIOUS Great Basin Regional Dataset Compilation

Jun 30, 2022
116.98 MB
Publicly accessible
This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The primary goal of this project is to accelerate discoveries of new, commercially viable hidden geothermal systems while re...
Authors
Ayling, B. et al GBCGE, NBMG, UNR
geothermalenergy2-meter probetemperaturegeochemistryquaternary falutsquaternary volcanicsgeodeticsseismicitypaleogeothermalwellsspringsslip and dilationingeniousplay fairway analysisgreat basinnevadautahidahocaliforniaoregonthermal conductivitymagnetotelluricsgravitymagneticsheat flowshapefilesgridssinterslipdilationearthquakesshearconductivityconductancegeotiffgeospatialcompilationdataregionaltufavolcanicsexplorationplay fairwaymodelingundiscovered systemsdiscoveryfavorabilityfaultsmachine learningelevation trenddetrended elevationseismic dataraw datasoda lake

Research Report of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Sep 30, 2015
32.65 MB
Publicly accessible
This is a final report summarizing a one-year (2014-15) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and...
Authors
Jordan, T. et al Cornell University
geothermalnew yorkpennsylvaniawest virginiadeep direct usedduappalachian basingeothermal play fairway analysispfaplay fairwayanalysismonte carlofinal reportphase 1low temperatureexplorationcharacterization

Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

Sep 30, 2015
612.79 MB
Publicly accessible
This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking ...
Authors
E., T. Cornell University
geothermalappalachian basinwest virginianew yorkpennsylvaniadistrict heatinglow-temperaturedeep direct usecombined risk segment maprisk analysisgeothermal play fairway analysisgpfa-abpfarastershapefileshape filearcgisgisgeospatial dataseismicseismicityrisklow temperaturerisk factorplay fairway analysis