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Play Fairway Analysis (PFA)×

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

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

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

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

Hawaii Play Fairway Analysis: Mapped Faults

Jan 01, 2015
3.99 MB
Publicly accessible
Faults combined from USGS 2007 Geologic Map of the State of Hawaii and the USGS Quaternary Fault and Fold database. This data is in shapefile format.
Authors
Lautze, N. University of Hawaii
geothermalfaultshawaiigeologystructuralshapefileshape filearcgisgisgeospatial datapfa

Hawaii Play Fairway Analysis: Mapped Rifts

Jan 01, 2015
163.21 kB
Publicly accessible
Rifts mapped through reviewing the location of dikes and vents on the USGS 2007 Geologic Map of the State of Hawaii, as well as our assessment of topography, and, to a small extent, gravity data. Data is in shapefile format.
Authors
Lautze, N. University of Hawaii
geothermalriftshawaiigeologystructuralshapefileshape filearcgisgisgeospatial datapfa

Hawaii Play Fairway Analysis: Island Boundaries

Jan 01, 2015
1.36 MB
Publicly accessible
Outline of Hawaiian islands (Kauai, Oahu, Molokai, Kahoolawe, Lanai, Maui, Hawaii) generated from the Geologic Map of the State of Hawaii published by the USGS in 2007.
Authors
Lautze, N. University of Hawaii
geothermalhawaiiboundaryisland boundaryborderkauaioahumolokaikahoolawelanaimauihawaii islandusgsshapefileshape filearcgisgisgeospatial datapfa

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

Oct 22, 2015
12.19 MB
Publicly accessible
The files included in this submission contain all data pertinent to the methods and results of this task's output, which is a cohesive multi-state map of all known potential geothermal reservoirs in our region, ranked by their potential favorability. Favorability is quantified usi...
Authors
Jordan, T. and Camp, E. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexrpigpfa-abgeothermal play fairway analysispfashapefilegisreservoirsgeospatial datacharacterizationarcgisqgisindexplay fairway analysislow temperature

Hawaii Play Fairway Analysis: Recharge Data for the Islands of Kauai, Lanai and Molokai, Hawaii

Jan 01, 2015
156.43 kB
Publicly accessible
This dataset compiles groundwater recharge data for the islands of Kauai, Lanai and Molokai derived from published studies. The dataset is provided as a geospatial shapefiles with associated attribute files and are for use within GIS software capable of handling shapefile formats....
Authors
Lautze, N. University of Hawaii
geothermalrechargehawaiilanaikauaimolokaiwatergroundwateraquiferwater supplywater tablehydrologywater budgetpfadatageospatial data

Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Sep 30, 2015
2.03 MB
Publicly accessible
This dataset contains the known hydrocarbon reservoirs within the study area of the Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB) as part of Phase 1, Natural Reservoirs Quality Analysis. The final values for Reservoir Productivity Index (RPI) and uncertainty...
Authors
E., T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiareservoirproductivityreservoir productivity indexrpigpfa-abgeothermal play fairway analysisdistrict heatingdeep direct uselow-temperaturepennslyvaniageologic reservoirsporositypermeabilityfavorabilitypfacontent modelngds content modelusgin content modelaasg geothermal datageologic reservoireasternusaeastcharacterizationnaturalresourcelow temperaturegeologyuncertainty

Hawaii Play Fairway Analysis: Recharge Data for Hawaii Island

Jan 01, 2015
189.76 kB
Publicly accessible
This dataset compiles groundwater recharge data for the Island of Hawaii derived from published studies, including work by Whittier and El-Kadi (2014) and Oki (1999, 2002), which are all linked below. The dataset is provided as a geospatial shapefile with associated attribute file...
Authors
Lautze, N. University of Hawaii
geothermalhawaiirechargewatergroundwateraquiferwater tableshapefileshape filearcgisgisgeospatial datadrinking waterpfa

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

SE Great Basin Play Fairway Analysis PFA Models and Probability Map

Nov 15, 2015
763.08 kB
Publicly accessible
This submission includes a Na/K geothermometer probability greater than 200 deg C map, as well as two play fairway analysis (PFA) models. The probability map acts as a composite risk segment for the PFA models. The PFA models differ in their application of magnetotelluric conducto...
Authors
Brandt, A. University of Utah
geothermalgeothermal potentialexplorationplay fairway analysispfacomposite risk segmentcrsgreat basinutahgeothermometerna/kmodelpfa modellinggeohtermal exploration modelgoethermometergeochemistrysodiumpotassiumresource assessmenteasternseprobabilitygeothermometrymtmagnetotelluricsgeospatial datageothermal exploration modeleastern great basin

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

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 Geothermal Play Fairway Analysis Technical Report

Dec 20, 2017
139.29 MB
Publicly accessible
An investment of $0.7M from the Geothermal Technology Office for Phase 2 of Play Fairway Analysis in Washington State improved existing favorability models and increased model confidence. New 1:24,000-scale geological mapping, 15 detailed geophysical surveys, 2 passive seismic sur...
Authors
Steely, A. et al Washington Geological Survey
geothermalenergywashingtonplay fairwayexplorationinvestigationsitecharacterizationgeophysicpfawashington stategeospatial datavelocitygrid filesstrainfavorability

Gravity, Granite Springs Valley, Nevada Play Fairway Analysis

Sep 14, 2017
979.85 kB
Publicly accessible
All raw data for new data acquired, key grids such as CBA and horizontal derivative, acquisition report, and depth models. This gravity data is associated with the Nevada Play Fairway project.
Authors
Faulds, J. Nevada Bureau of Mines and Geology
gravitygranite springs valleygeophysicspfanevadanvmodelingacquisitiongridscbahorizontal derivativedepthmodelrawdatainvertedprofilesectioncorrectedfree airtidetidalreportdensity contrastgsvnv great basin

DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays

Jun 30, 2023
1.03 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), weights needed to be develop...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsmagmatichydrothermalweightspfapcaunsupervisedstandardizedexplorationcharacterizationglobal

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 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

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

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

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
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