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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Mar 29, 2021
179.87 MB
Publicly accessible
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Authors
Vesselinov, V. Los Alamos National Laboratory
geothermalenergymachine-learningnew mexicobradynevadagreat basinsouthwest new mexicomulti-physicsbrady hot springssmarttensorsgeothermalcloudgeothermal cloudlos alamos national laboratorysite datasimulationmachine learningmodel

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Publicly accessible
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Authors
Buster, G. et al Upflow
geothermalenergymachine learningoptimizationoperationssynthetic datapower plantbig kahunagoomlgenetic optimizationforecastinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsneural networkdataprocessed datacodepythonsimulationmodel

Colorado Heat Flow Data from IHFC

Feb 01, 2012
5.73 kB
Publicly accessible
This layer contains the heat flow sites and data of the State of Colorado compiled from the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI) global heat flow database. The data include different i...
Authors
E., R. Flint Geothermal, LLC
geothermalihfccoloradoheat flow dataarcgisgisshapefileshape filegeospatialgeospatial datatemperaturedatatemperature gradientgeophysicsheat flowthermal conductivityconductivityheat generation

Project Data for Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers

Mar 31, 2026
601.08 MB
Awaiting release
This dataset contains project data generated by the project "Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers." It includes drilling, downhole drilling dynamics, bit records, daily drilling reports, directional surveys, lithology and mineralogy data, ...
Authors
Wriedt, J. and So, P. Geysers Power Company, LLC
geothermalenergydrillingthe geysersphysics-based drillingbit designgdc-36prati-44downhole drilling dynamicsbit recordsdirectional surveylithologymineralogymud logspason edrwell logssonic logsfmiubiwell schematicraw data

WHOLESCALE: Mass Flux Rates for Wells at San Emidio in December 2016

Dec 01, 2016
1.79 MB
Publicly accessible
This dataset provides mass flux rates in kg/s from six (production and injection) wells at San Emidio at minute intervals from December 1, 2016 December 15, 2016. Files for injection wells are named with "IW", for instance "WellIW42-21SI.csv", and include negative flux rates. Fil...
Authors
Cardiff, M. et al University of Wisconsin Madison
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalgeophysicssan emidionevadamass flux ratesflow rateswell datainjectionproduction

WHOLESCALE Catalog of Rock Samples at San Emidio Nevada collected in January 2021

Jan 12, 2021
857.7 MB
Publicly accessible
This submission contains information on thirty-six rock samples collected from San Emidio, Nevada during January, 2021 for Subtask 2.3 of the WHOLESCALE project. The following resources include a .zip of rock sample photos taken in the field, a .zip of rock sample photos taken in ...
Authors
Kleich, S. et al University of Wisconsin Madison
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalsan emidionevadarock samplesfieldsamplessamplerock samplegeologyimagesphotoscore samples

Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

Apr 15, 2022
113.79 MB
Publicly accessible
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...
Authors
Jin, W. et al Idaho National Laboratory
reservoir thermal energy storagestochastic simulationgeotesmachine learningmodelingtesht-rtescharacterizationnumerical modelstochastichydrogeologic formationsimulated datasimulation datahigh-temperaturethermal energy storageoptimizationartificial neural network regressionannneural networkoperation scenariosseasonal-cyclepareto frontsseasonal operationcontinuous operationfalconmoose

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

Jan 30, 2023
725.34 MB
Awaiting release
This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Authors
Taverna, N. et al Upflow
geothermalenergymachine learninggoomlpower plantoptimizationgenetic optimizationregressionneural networkoperationssynthetic datakahunanuiforecasthindcastdata curationinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsprocessed datapythonjupyter notebookmodelmodelingcode

Snake River Plain FORGE: Site Characterization Data

Apr 18, 2016
632.32 MB
Publicly accessible
The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater,...
Authors
Moos, D. and Barton, C. Idaho National Laboratory
geothermalforgeegssrgcsnake river plainidahosite characterizationsite datageologic modelgeomechanical modelwell datatempsupplementaladdendum3d modelrock physicsinel-1wo-2usgs-142websiteeventsinformationblogdatacollectionpaperstressinel sitestrian ratesdeformationanalyticalmodelinlseismicmonitoringannual reportmapseismic modelinggeologichistorysettingsublithosphericneogeneyellowstoneheisepicabovolcanicfieldvoncanicgravityheat flowcalderavolcanismmantle plumeoceanic hotspotmagmatismgrraesrpeastern snake river plainbasinpotentialsiteextensionsubsidencepaleoseismologyextensional structuresintrusiontectonic faultsgeomechanicalcharacterizationheheliumisotopeisotopic evidenceundiscoveredgeothermal systemserspaquiferthermal watermodelingthermalgeochemicalanomaliesconceptual modelwellboregroundwatertemperaturedistributionwell headstdtarget depthlocationcoordinateselevationresidualisostaticmagneticusgsmagneticsnrmeasternmtinversionlong-periodphase 1resistivityelectricalsoundinggeoelectricsectionrefraction surveyteleseismicreceiverprofilingrefractionray trace3dvolcanicspaleozoicrhyoliticpetreljewelsuitefold hingessnapshotsrpsrgmagnetotellurics

Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada

Nov 09, 2016
132.47 MB
Publicly accessible
This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...
Authors
Folsom, M. et al Ormat Technologies, Inc.
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalprocessed datageophysicsintegrated geologic modelpassive micro-seismicgravitymagnetotelluricspacific dc intertie

WHOLESCALE: Seismic Survey Metadata from San Emidio Nevada 2021

Apr 06, 2021
25.39 MB
Publicly accessible
This is a collection of metadata from the 2021 seismic survey at the San Emidio geothermal field in Nevada. In April and May 2021, 37 tri-axial short period seismographs were deployed in a 1.8km diameter cluster centered on 40.367278 deg N, 119.409019 deg W. The first data record...
Authors
Lord, N. et al Department of Geoscience University of Wisconsin-Madison
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalseismicseismicitydatametadatasurveynevadasmartsolodatacubedldsacsan emidiogeophysicssurvey designpythondata processingpumping
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