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Brady's, NV×

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

Brady's Geothermal Field Nodal Seismometers Metadata

Mar 28, 2016
279.97 MB
Publicly accessible
Metadata for the nodal seismometer array deployed at the POROTOMO's Natural Laboratory in Brady Hot Spring, Nevada during the March 2016 testing. Metadata includes location and timing for each instrument as well as file lists of data to be uploaded in a separate submission.
Authors
Parker, L. University of Wisconsin
geothermalbrady hot springsnevadametadatanodalseismometersporotomobradys geothermal areaseismicarraymonitoringseismicitygeophysics

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

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

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

Raw Pressure Data from Observation Wells at Brady's Hot Springs

Mar 13, 2016
5.15 MB
Publicly accessible
This .csv files contain the raw water pressure data from three observation wells during pumping tests performed in the Spring of 2016. Included is a "read me" file explaining the details of where and how the data were collected.
Authors
Lim, D. University of Wisconsin
geothermalpressure sensorpressurebrady hot springsobservation wellspumping testspressure datawater pressureread me fileobservation wellporotomobradys geothermal area

Brady's Geothermal Field Analysis of Pressure Data

Mar 17, 2017
10.13 MB
Publicly accessible
*This submission provides corrections to GDR Submissions 844 and 845* Poroelastic Tomography (PoroTomo) by Adjoint Inverse Modeling of Data from Hydrology. The 3 *csv files containing pressure data are the corrected versions of the pressure dataset found in Submission 844. The ...
Authors
Lim, D. University of Wisconsin
geothermalenergyproduction flow rate datainjection flow rate datapressure datahydrologyhydrogeologybrady hot springsporotomoporoelastic tomographyegsenhanced geothermal systemsengineered geothermal systemsdeployment databradybradys geothermal fieldpressureflow rateboreholedownholewell datapressure sensorobservation wellspumping testwater pressureobservation well

PoroTomo: BRAD and BRDY GPS Station RINEX Files December 20, 2014

Dec 20, 2014
394.45 kB
Publicly accessible
This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of December 20, 2014. The data is formatted as compressed GNSS RINEX observation files and is accessible through CSV files containing metadata such as file size, data type, and publicat...
Authors
Kreemer, C. University of Nevada
geothermalgeodesygpsrinexgeospatial databradbrdybrady hot springsbradys hot springsftp locationporotomobradyfieldnevadaunavcohydrothermalcsv

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
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