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Brady's, NV×

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

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

PoroTomo: BRAD, BRDY, and BRD1 GPS Station Webpages

Jul 17, 2017
Size unavailable
Publicly accessible
This dataset provides links to the GPS station websites for the BRAD, BRDY, and BRD1 GPS stations at Brady's Hot Springs in Nevada. The website is hosted by the Nevada Geodetic Laboratory, and provides plots and time series data for each of the GPS station's locations.
Authors
Kreemer, C. University of Wisconsin
geothermalenergyporoelastic tomographyporotomogpsrinexbradyfieldnevadabradbrdybrd1geodesybrady hot springsbradys hot springs

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

Brady's Geothermal Field Sample Interferogram in HDF5 Format

Jan 01, 2015
12.78 MB
Publicly accessible
HDF5 file containing phase, filtered phase, unwrapped range change and correlation data for the a TSX pair (Track 53) spanning time interval 12-23-2011 to 10-26-2012.
Authors
Ali, T. University of Wisconsin
geothermalinsarhdf5bradysinterferogramphaserange changecorrelationtsxbradys hot springs

PoroTomo: BRAD and BRDY GPS Station RINEX Files March 26, 2015

Jan 01, 2015
49.48 kB
Publicly accessible
This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of March 26, 2015. The data is formatted as compressed GNSS RINEX observation files, accessible through formatted CSV files, as well as in links to the complete daily time series data. ...
Authors
Kreemer, C. University of Wisconsin
geothermalgeodesygpsbrady hot springbrady hot springsrinexftp locationporotomobradyfieldnevadabradbrdybradys hot springshydrothermal

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

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

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

Brady's Geothermal Field DAS Earthquake Data

Mar 21, 2016
4.08 GB
Publicly accessible
The submitted data correspond to the vibration caused by a 3.4 M earthquake and captured by the DAS horizontal and vertical arrays during the PoroTomo Experiment. Data is available in the original .sgy formats, as well as in standardized .h5 formats. Earthquake information : M ...
Authors
Feigl, K. University of Wisconsin
geothermalbrady hot springsporotomoseismicdistributed acoustic sensingearthquakedashorizontalverticalgeophysicsmonitoringseismicityarraypassive sourcenveqinduced seismicityseg-yhdf5

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

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
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