Search GDR Data

April 2013 Green Machine Florida Canyon Hourly Data

Apr 24, 2013

11.12 kB

Publicly accessible

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant...

Authors

Vanderhoff, A. ElectraTherm, Inc.

geothermalelectrathermorcpowerlow temperaturegreen machinemicro geothermal power plantorganic rankine cycleflorida canyonorc datahourlydatahourly datacoproducedmicro geothermaloperationproductionsmall scale

May 2013 Green Machine Florida Canyon Hourly Data

May 30, 2013

26.61 kB

Publicly accessible

Authors

Vanderhoff, A. ElectraTherm, Inc.

geothermalelectrathermorcpowergreen machinemicro geothermal power plantorganic rankine cyclelow temperatureflorida canyonhourly datacoproducedmicro geothermaloperationproductionsmall scaledata

June 2013 Green Machine Florida Canyon Hourly Data

Jul 15, 2013

31.3 kB

Publicly accessible

Authors

Vanderhoff, A. ElectraTherm, Inc.

geothermalelectrathermorcpowerwaste heatmininggreen machinemicro geothermal power plantorganic rankine cyclelow temperatureflorida canyonhourly datacoproducedmicro geothermaloperationproductionsmall scaledata

July 2013 Green Machine Florida Canyon Hourly Data

Aug 30, 2013

11.14 kB

Publicly accessible

Authors

Vanderhoff, A. ElectraTherm, Inc.

August 2013 Green Machine Florida Canyon Hourly Data

Sep 10, 2013

34.08 kB

Publicly accessible

Authors

Vanderhoff, A. ElectraTherm, Inc.

geothermalelectrathermqorcpowerwaste heatmininggreen machinemicro geothermal power plantorganic rankine cyclelow temperatureflorida canyonhourly datacoproducedmicro geothermaloperationproductionsmall scaledata

September 2013 Green Machine Florida Canyon Hourly Data

Oct 25, 2013

58.76 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

geothermalelectrathermorcpowerwaste heatmininggreen machineflorida canyonmicro geothermal power plantorganic rankine cyclelow temperaturehourly datacoproducedmicro geothermaloperationproductionsmall scaledata

October 2013 Green Machine Florida Canyon Hourly Data

Oct 31, 2013

19.18 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

November 2013 Green Machine Florida Canyon Hourly Data

Dec 02, 2013

14.69 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

December 2013 Green Machine Florida Canyon Hourly Data

Jan 08, 2014

8.72 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

January 2014 Green Machine Florida Canyon Hourly Data

Feb 03, 2014

15.27 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

geothermalelectrathermorcpowerwaste heatmininggreen machinemicro geothermal power plantorganic rnakine cyclelow temperatureflorida canyonhourly datacoproducedmicro geothermaloperationproductionsmall scaledata

February 2014 Green Machine Florida Canyon Hourly Data

Mar 03, 2014

8.76 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

March 2014 Green Machine Florida Canyon Hourly Data

Apr 07, 2014

14.18 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

April 2014 Green Machine Florida Canyon Hourly Data

May 05, 2014

8.91 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

May 2014 Green Machine Florida Canyon Hourly Data

Jun 02, 2014

73.42 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

geothermalelectrathermorcpowerwaste heatmininggreen machineorganic rankine cyclemay 2014micro geothermal power plantlow temperatureflorida canyonhourly datacoproducedmicro geothermaloperationproductionsmall scaledata

June 2014 Green Machine Florida Canyon Hourly Data

Jun 30, 2014

36.2 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

July 2014 Green Machine Florida Canyon Hourly Data

Jul 31, 2014

8.68 kB

Publicly accessible

Authors

Thibedeau, J. ElectraTherm, Inc.

geothermalelectrathermorcpowerwaste heatmininggreen machinemicro geothermal power plantorganic rankine cycleflorida canyonhourly datalow temperaturecoproducedmicro geothermaloperationproductionsmall scaledata

Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

May 31, 2019

4.48 MB

Publicly accessible

Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...

Authors

McLing, T. et al Idaho National Laboratory

energy storagegeothermal energythermal energy storagegeotestestemperatureporositymodelingsteamrankine cycleflue gasheatrecoverythermalhydrologylinear stabilitydirect usegoethermalbrinegrid stabilizationinjection testweber formationweber sandstonertes

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

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

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

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

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

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

Feb 20, 2021

3.37 MB

Publicly accessible

This submission contains shapefiles, geotiffs, and symbology for the revised-from-Play-Fairway potential structures/structural settings used in the Nevada Geothermal Machine Learning project. Layers include potential structural setting ellipses, centroids, and distance-to-centroid...

Authors

Faulds, J. and Coolbaugh, M. Nevada Bureau of Mines and Geology

geothermalenergynevadamachine learningstructurepotential structuresstructural settingaccommodation zonedisplacement transfer zonefault bendfault intersectionfault terminationpull apartstepovergeospatial datageospatialdatacodeellipsescentroidsdistance to centroidgisraster

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Apr 04, 2022

1.04 GB

Publicly accessible

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...

Authors

Ahmmed, B. Stanford University

geothermalenergymachine learningartificial intelligenceaiexplorationmodelmodelingprocessed datatraining datatraining datasetremote sensinghidden geothermal resourcesresource detectiondiscoverydevelopmentresourceneural networkprediction

USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021

Size unavailable

Publicly accessible

This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geoph...

Authors

DeAngelo, J. et al Nevada Bureau of Mines and Geology

geothermalenergygeophisicsnevadaslipdilationheat flowgravitymagneticsfaultsgeotiffsmachine learningexplorationcharacterizationhydrothermalgreat basingeophysicspfa

1 2 3 4 Next >>

Google Map

Search GDR Data

Order by:

Available Now:

April 2013 Green Machine Florida Canyon Hourly Data

May 2013 Green Machine Florida Canyon Hourly Data

June 2013 Green Machine Florida Canyon Hourly Data

July 2013 Green Machine Florida Canyon Hourly Data

August 2013 Green Machine Florida Canyon Hourly Data

September 2013 Green Machine Florida Canyon Hourly Data

October 2013 Green Machine Florida Canyon Hourly Data

November 2013 Green Machine Florida Canyon Hourly Data

December 2013 Green Machine Florida Canyon Hourly Data

January 2014 Green Machine Florida Canyon Hourly Data

February 2014 Green Machine Florida Canyon Hourly Data

March 2014 Green Machine Florida Canyon Hourly Data

April 2014 Green Machine Florida Canyon Hourly Data

May 2014 Green Machine Florida Canyon Hourly Data

June 2014 Green Machine Florida Canyon Hourly Data

July 2014 Green Machine Florida Canyon Hourly Data

Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

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

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

GIS Resource Compilation Map Package Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

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

Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

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

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada