OpenEI: Energy Information
  • Geothermal Data Repository
  • My User
    • Sign Up
    • Login
 
  • Data
    • View All Submissions
    • Data Lakes
    • Data Standards
    • Submit Data
  • Help
    • Frequently Asked Questions
    • Data Submission Best Practices
    • Data Submission Tutorial Videos
    • Contact GDR Help
  • About
  • Search

Search GDR Data

Showing results 1 - 25 of 1456.
Show results per page.
Order by:
Available Now:
Filters
Topic
Technologies
Demonstration Sites
Data Type
"Brady Geothermal Field"×

Brady's Geothermal Field Seismic Network Metadata

Dec 21, 2014
38.38 kB
Publicly accessible
Brady's geothermal field seismic network station locations and dates of operation.
Authors
Foxall, W. University of Wisconsin
geothermalegs microearthquake monitoringbrady egs seismic monitoring networkmetadataseismic networkseismic monitoringbradyegsporotomoseismicitymicroseismicitymeqinduced seismicitybradys geothermal fieldbradys hot springsearthquake

Brady Geothermal Field PoroTomo Laboratory Deployment Map

Mar 01, 2016
3.1 MB
Publicly accessible
Map of the PoroTomo Laboratory at Brady Field, Nevada. Map includes locations of GPS Stations, Shaker Stations, Vibroseis Sites, Seismometers, Fiber-Optic Cables, and wells
Authors
Lopeman, J. University of Wisconsin
geothermalmapdeploymentbrady geothermal fieldegsporotomowelllocationgps stationshaker stationvibroseisshakergpsstationseismometerseismic monitoringsitelablaboratory

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Oct 01, 2021
5.68 MB
Publicly accessible
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Authors
Siler, D. et al United States Geological Survey
geothermalenergynmfkbrady hot springsmachine learningmlbhsnonnegative matrix factorization k-meanshydrothermalbradyk-meansclusteringnonnegative matrix factorizationmatrix factorizationgeothermalcloudsmarttensorsunsupervised3d well data3d geologic mapgeologic structurefaultsstressgeologycharacterizationgeologic modelproductioncode

Brady's Geothermal Field Distributed Temperature Sensing Data

Mar 26, 2016
339.56 MB
Publicly accessible
This submission is an 8 day time history of vertical temperature measurements in Brady observation well 56-1 collected during the PoroTomo field experiment. The data was collected with a fiber-optic DTS system installed to a depth of 372 m below wellhead. DTS installation uses a d...
Authors
Patterson, J. University of Wisconsin
porotomodtsegsbradyfiber-opticstemperaturenevadaboreholeporoelastic tomographydistributed temperature sensinghot springs

Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
179.02 GB
Publicly accessible
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasebrady hot springsbradyartificial intelligenceaibrady wellseismicremote sensinghyperspectralgeospatial databasedeep learningmachine learningexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datanevadaarcgismodeldatabasehydrothermalgeophysicsradargisblindblind systemdeformationgeophysicalhyperspectral imagingconceptual modelfaultpreprocessedrastervectorfield datageospatial data

3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

Oct 01, 2021
7.12 MB
Publicly accessible
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...
Authors
Siler, D. and Pepin, J. United States Geological Survey
geothermalenergypca3d geologic modelgeologic modelgeologycharacterizationmachine learningmlbhsbrady hot springsprincipal component analysisproductionstressfaultsrbradyhydrothermalgeologic structureunsupervised3d well datacodegeothermicgeophysics

Bradys Geothermal Field MEQ Relocations 3D Velocity Models

Jul 01, 2015
186.79 kB
Publicly accessible
Hypocenters of local microearthquakes and 3D P and S-velocity models computed by simultaneous inversion of arrival times recorded by the Brady seismic network Nov 2010-Mar 2015.
Authors
Foxall, W. University of Wisconsin
geothermalmicroearthquake locationssimultaneous inversion3d seimic velocity modelsd seismic velocity modelmicroeathquake locationsmetadatameqmicroearthquakemicroseismicityrelocationsvelocitymodel3dporotomobradyseismicitybrady hot springsbradys

Bradys Hot Springs Ambient Noise Correlation Functions (Initial Waveforms)

Jul 01, 2015
34.08 MB
Publicly accessible
These files are ambient noise correlation (ANC) functions calculated for 11 days of continuous seismic data recorded by the Lawrence Berkeley network in the Brady geothermal field. These are SAC formatted seismic waveforms. The stations included are BPB04, BPB05, BPB07, BPB08, BP...
Authors
Matzel, E. Lawrence Livermore National Laboratory
geothermalambient noise correlationseismicbrady geothermal fieldseismic waveformsambient noise brady geothermalbradybradys hot springsporotomoancfunctions

Brady Geothermal Field Borehole Pressure Data

Apr 01, 2016
4.64 MB
Publicly accessible
This submission supersedes pressure data from March 2017 which can be found as a link in the submission resources. This submission contains 3 .csv files with time series pressure data in 3 observation wells at Brady Geothermal Field as part of the PoroTomo project. These pressure ...
Authors
Cardiff, M. and Lim, D. University of Wisconsin
geothermalenergyenhanced geothermal systemegshydrologyhydrogeologyboreholeobservation wellpressure databrady geothermal fieldporotomoporoelastic tomographywellwell databradybrady hot springsnevada

Active Source 3D Seismic Tomography of Brady Hot Springs Geothermal Field, Nevada

Aug 09, 2017
26.79 MB
Publicly accessible
We deployed a dense seismic array to image the shallow structure in the injection area of the Brady Hot Springs geothermal site in Nevada. The array was composed of 238 5 Hz, three-component nodal instruments and 8,700 m of distributed acoustic sensing (DAS) fiber-optic cable inst...
Authors
Parker, L. University of Wisconsin
geothermalbrady hot springsnevadaseismic tomographyactive sourceporotomobrady geothermal fieldbradysshallowseismic imagingporoelastic tomography

Brady Geothermal Field Well Lithologies

Jul 22, 2015
16 kB
Publicly accessible
This dataset provides well lithologies and corresponding descriptions exported from the 3D Leapfrog geologic model of the Brady Geothermal Field in Northwestern Nevada. Two .csv files are included. The file labeled Well Lithologies Descriptions provides the descriptions for each l...
Authors
Lopeman, J. University of Wisconsin
geothermalwelllithologiesdescriptionlithology3dgeologic modelgeologyleapfrogbradyshot springsbradygeothermal areawell datanevada

Brady Well Coordinates and Observation Sensor Depths

Mar 13, 2016
4.86 kB
Publicly accessible
Contains metadata associated with the wells used in the 2016 Spring Campaign led partially by UW Madison, LBNL, and LLNL scientists. Included with the well coordinates are the depths to the pressure sensors used in observation and pumping wells. Read me files are included for each...
Authors
Lim, D. University of Wisconsin
geothermalmetadatawell coordinatespressure sensor depthswell locationporotomobrady geothermalbradys geothermalfieldareawell datawell observation

DASH Slow Strain Rates from Brady Hot Springs Geothermal Field during PoroTomo Deployment Period

Jun 27, 2018
4.98 GB
Publicly accessible
This submission contains slow strain rates summed to radians over 30 second intervals [rad/s] derived from horizontal distributed acoustic sensing measurements (DASH) of Brady geothermal field during PoroTomo deployment (2016-Mar-14 to 2016-Mar-26). There is one file correspondin...
Authors
Reinisch, E. et al University of Wisconsin
geothermaldashporotomoslow strainbrady hot springsdashorizontaldistributed acoustic sensingmatlabstrain ratestraincharacterizationgeophysicshydrothermalbradyprocessed datasoftwarerepositorytechnicalreportslow strain rate

PoroTomo: Brady Geothermal Field InSAR Data

Jul 11, 2017
Size unavailable
Publicly accessible
Included are links to compressed InSAR pairs covering Brady Geothermal Field for TerraSAR-X (tracks 53, 91, and 167) and Sentinel-1A data. Pairs from the PoroTomo deployment period and pairs forming a minimum spanning tree according to perpendicular baseline are included for Terr...
Authors
Reinisch, E. University of Wisconsin
geothermalenergyinsarporotomobrady hot springsbrady geothermal fieldnevadaterrasar-xtsxsentinel-1as1aland subsidencebradydigital elevation model

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada

Brady's Geothermal Field Reftek Seismometer Metadata

Mar 26, 2016
457.21 kB
Publicly accessible
Metadata for the Reftek seismometer array deployed at the POROTOMO's Natural Laboratory in Brady Hot Spring, Nevada during the March 2016 testing.
Authors
Parker, L. University of Wisconsin
geothermalbrady hot springsnevadametadatareftekseismometerseismicarraypassive seismicporotomobradygeophysicsmonitoringseismicity

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Feb 18, 2021
4.49 MB
Publicly accessible
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningsubsurfacecharacterizationbrady hot springspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementbradys hot springsporotomoreservoirdual-porositystimulationinjection testmodeltemperatureflowpressuresimulationsingle-fracturedoubletheatmapheat maptensorflow

Brady Geothermal Field Well Pumping Data During Deployment

Mar 30, 2016
2.68 MB
Publicly accessible
Contains pumping data associated with the wells used in the 2016 Spring Campaign led partially by UW Madison, LBNL, and LLNL scientists. The well coordinates and the depths to the pressure sensors used in the pumping wells can be found at the link "Coordinates and Sensor Depths" b...
Authors
Feigl, K. University of Wisconsin
geothermalporotomobradys geothermal fieldegspressureflow rateboreholedownholewell datapump datahot springs

Brady's Geothermal Field Map of DAS, Nodal, Vibroseis and Reftek Station Deployment

Oct 15, 2016
1.62 MB
Publicly accessible
Map of DAS, nodal, vibroseis and Reftek stations during March 2016 deployment. The plot on the left has nodal stations labeled; the plot on the right has vibroseis observations labeled. Stations are shown in map-view using Brady's rotated X-Y coordinates with side plots denoting...
Authors
Feigl, K. University of Wisconsin
geothermalmapdeploymentbrady geothermal fieldegsporotomoseismic stationsdasdistributed acoustic sensingnodalseismometervibroseisreftekstationsbradybradys hot springsactive sourcepassive sourcedetectionmonitoringseismicgeophysicsboreholesurfacearraydownholeobservation locations

PoroTomo Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1

Jan 09, 2019
105.8 MB
Publicly accessible
This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour per...
Authors
Kratt, C. et al Oregon State University
geothermalenergydtsbradyporotomoctempsfiber opticsilixadistributed temperature sensingwell 56-1matlabdataporoelastic tomographybrady hot springsnevadanvobservation wellsilixa xt

PoroTomo Project: Brady's Field, Station BRDY

Jan 04, 2016
19.19 kB
Publicly accessible
Files with links to RINEX files for station BRDY not previously reported
Authors
Kreemer, C. University of Wisconsin
geothermalgpsgeodesybrdyrinexbradyporotomoftp locationfieldnevadabradys hot springs

PoroTomo Project: Brady's Geothermal Field, Station BRAD

Jan 04, 2016
19.41 kB
Publicly accessible
Files with links to RINEX files for station BRAD not previously reported
Authors
Kreemer, C. University of Wisconsin
geothermalgpsgeodesyftp locationporotomobradyfieldnevadabradbradys hot springsrinex

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython

Brady Geothermal Field InSAR Raw Data

Mar 31, 2015
2.1 kB
Publicly accessible
List of TerraSAR-X/TanDEM-X images acquired between 2015-01-01 and 2015-03-31, and archived at https://winsar.unavco.org. See file "BHS InSAR Data with URLs.csv" for individual links. NOTE: The user must create an account in order to access the data (See "Instructions for Creatin...
Authors
Ali, T. University of Wisconsin
geothermalinsarsynthetic aperture radarwinsartandem-xterrasar-xraw datainterferometricwestern north americabradybradys hot springsporotomo

Understanding Constraints on Geothermal Sustainability Through Reservoir Characterization at Brady Geothermal Field, Nevada

Jul 11, 2018
4.46 MB
Publicly accessible
The vast supply of geothermal energy stored throughout the Earth and the exceedingly long time required to dissipate that energy makes the world's geothermal energy supply nearly limitless. As such, this resource holds the potential to provide a large supply of the world's energy ...
Authors
Patterson, J. University of Wisconsin
geothermalenergyhydrogeologydtsreservoir characterizationnevadabrady hot springsborehole pressureborehole temperaturedistributed temperature sensingporotomosustainabilitysustainable usesubsurface propertiesresorceidentificationassessmentproductioncharacterizationtemperaturepressurethermalhydraulicpropertiesanalyticalmodelnumericalanalysisreservoirsensitivityflow pathsfracturesflowpathwayspreferentialheattransportparameterssimulationpower production
12345Next >>
Google Map
  • About the GDR
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • The GDR provides free access to data generated from projects funded by the U.S. Department of Energy's Office of Geothermal.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

Privacy Policy Notification

This site uses cookies to store and share user preferences with other OpenEI sites, and uses Google Analytics to collect anonymous user information such as which pages are visited, for how often, and what searches or other webpages may have led users here. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser or by installing a Google Analytics Opt-out Browser Add-on. By clicking "Accept" you agree this site can store cookies on your device and disclose information to OpenEI and Google Analytics in accordance with our privacy policy.

OpenEI Privacy Policy Google Analytics Terms of Service