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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

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...

Beckers, K. et al National Renewable Energy Laboratory

Feb 18, 2021
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Garner Valley DAS Metadata

Metadata for the data collected at the NEES@UCSB Garner Valley Downhole Array field site on September 10-12, 2013 as part of the larger PoroTomo project.

Lancelle, C. University of Wisconsin

Sep 10, 2013
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Brady's Geothermal Field Map of DAS, Nodal, Vibroseis and Reftek Station Deployment

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...

Feigl, K. University of Wisconsin

Oct 15, 2016
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Bradys Geothermal Field MEQ Relocations 3D Velocity Models

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.

Foxall, W. University of Wisconsin

Jul 01, 2015
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Brady Well Coordinates and Observation Sensor Depths

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...

Lim, D. University of Wisconsin

Mar 13, 2016
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Brady's Geothermal Field Seismic Network Metadata

Brady's geothermal field seismic network station locations and dates of operation.

Foxall, W. University of Wisconsin

Dec 21, 2014
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Material Properties for Brady Hot Springs Nevada USA from PoroTomo Project

The PoroTomo team has completed inverse modeling of the three data sets (seismology, geodesy, and hydrology) individually, as described previously. The estimated values of the material properties are registered on a three-dimensional grid with a spacing of 25 meters between nodes....

Feigl, K. and PoroTomo Team, . University of Wisconsin

Mar 06, 2019
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PoroTomo Project: Brady's Field, Station BRDY

Files with links to RINEX files for station BRDY not previously reported

Kreemer, C. University of Wisconsin

Jan 04, 2016
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PoroTomo Project: Brady's Geothermal Field, Station BRAD

Files with links to RINEX files for station BRAD not previously reported

Kreemer, C. University of Wisconsin

Jan 04, 2016
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Active Source 3D Seismic Tomography of Brady Hot Springs Geothermal Field, Nevada

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...

Parker, L. University of Wisconsin

Aug 09, 2017
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Pressure-Temperature Simulation at Brady Hot Springs

These files contain the output of a model calculation to simulate the pressure and temperature of fluid at Brady Hot Springs, Nevada, USA. The calculation couples the hydrologic flow (Darcy's Law) with simple thermodynamics. The epoch of validity is 24 March 2015. Coordinates are ...

Feigl, K. Temple University

Jul 11, 2017
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Understanding Constraints on Geothermal Sustainability Through Reservoir Characterization at Brady Geothermal Field, Nevada

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 ...

Patterson, J. University of Wisconsin

Jul 11, 2018
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