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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

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

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

Play Fairway Analysis of the Snake River Plain, Idaho: Final Report

Feb 19, 2021
74.24 MB
Publicly accessible
This submission includes the final project report of the Snake River Plain Play Fairway Analysis project as well as a separate appendix for the final report. The final report outlines the application of Play Fairway Analysis (PFA) to geothermal exploration, specifically within the...
Authors
Shervais, J. et al Utah State University
geothermalenergysrppfasnake river plainidahoblindresourcecharacterizationgeologyblind resourcesblind systemswestern snake river plaincentral snake river plaingeophysicsgravitymagneticsseismictemperaturegeothermometrygeochemistryaqueoustrace elementsisotoperadiometrywellarcgispythoncommon risk segment mappingcrsccrsgeochemicalmagnetotelluricsmtconceptual modelgisthermal modelinghydrothermalintegrated modelintegrated geohydrological modelgeology mapengineered geothermal systemegsmapdrillingwater chemistrypetrographyplay fairway analysisalgorithm

Utah FORGE: Southwestern Utah Magnetotelluric (MT) Data

Jan 22, 2024
234.04 MB
Publicly accessible
This comprehensive magnetotellurics (MT) dataset, which covers southwestern Utah, integrates 600 sites from various surveys, including those from the Utah FORGE, SubTER, and Play Fairway projects, all of which are linked below. The core of this dataset is the use of a 3D finite el...
Authors
Wannamaker, P. and Marris, V. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgemtmagnetotelluricresistivitysouthwestern utahplay fairwaygeophysical datafinite elementfeafemgravitymagneticsseismicgeodesyegsroosevelt hot springsmilfordsite characterizationforge mtplay fairway analysisforgesubter

Appalachian Basin Play Fairway Analysis: Thermal Quality Analysis in Low-Temperature Geothermal Play Fairway Analysis (GPFA-AB)

Nov 15, 2015
2.04 GB
Publicly accessible
This collection of files are part of a larger dataset uploaded in support of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB). Phase 1 of the GPFA-AB project identified potential Geothermal Play Fairways within the Appalachian basin of Pennsylva...
Authors
E., T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginialow-temperaturegeothermal play fairway analysisgpfa-abdeep direct usedistrict heatingthermal analysisresource assessmentheat flowthermal conductivitygeothermsshapefileregional gridrasterr scriptbasementtrenton black river projectsediment thicknessbht correctionrome troughgravitymagneticsworm based interpolation boundarieswormsrisk of seismicityoutlierthermal modelthermal fielddepth-to-temperaturetemperature-at-depthcross validationkrigingfavorable countiesarcgiscosunacorrelation of stratigraphic units of north americademdigital elevation modellow temperaturegeospatial datapfaplay fairway analysisthermal qualitycross-section

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

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