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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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Brady's Geothermal Field Nodal Seismometer Earthquake Data

90-second records of data from 238 three-component nodal seismometer deployed at Bradys geothermal field. The time window catches an earthquake arrival. Earthquake data from USGS online catalog: Magnitude: 4.3 ml +/ 0.4 Location: 38.479 deg N 118.366 deg W +/ 0.7 km Depth: 9.9 km...

Feigl, K. University of Wisconsin

Mar 21, 2016
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Brady's Geothermal Field Nodal Seismometers Metadata

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.

Parker, L. University of Wisconsin

Mar 28, 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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Analysis of Existing InSAR Data Brady Hot Springs Geothermal Area

Attributes of synthetic aperture radar (SAR) data acquired by TerraSAR-X and TanDEM-X satellite missions and archived at WInSAR facility.

Feigl, K. University of Wisconsin

Dec 26, 2014
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PoroTomo Project: Brady's Geothermal Field: GPS station deployment and data analysis

Brady's Field PoroTomo project. GPS station deployment and data analysis. Links to data files and website with station and time-series information

Kreemer, C. University of Nevada

Apr 26, 2016
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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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Guelph, ON Canada DTS Metadata

Metadata for active distributed temperature survey (DTS) experiments at Guelph, Ontario Canada. This data that this metadata refers to was taken as part of the PoroTomo project. The metadata includes information about status, location, elevation, units, and other metadata.

Coleman, T. University of Wisconsin

Dec 15, 2014
3 Resources
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Analyzed Boise Data for Oscillatory Hydraulic Tomography

Data here has been "pre-processed" and "analyzed" from the raw data submitted to the GDR previously (raw data files found at http://gdr.openei.org/submissions/479. doi:10.15121/1176944 after 30 September 2017). First, we submit .mat files which are the "pre-processed" data (must h...

Lim, D. University of Wisconsin

Jul 01, 2015
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PoroTomo Project: Brady's Geothermal Field, Subtask 3.5: GPS Data Analysis

Links to GPS RINEX data not previously reported, plus links to station web pages, which include most up-to-date time-series

Kreemer, C. University of Wisconsin

Jan 04, 2016
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Brady's Geothermal Field Analysis of Pressure Data

*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 ...

Lim, D. University of Wisconsin

Mar 17, 2017
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Analysis of Existing Data from a Distributed Acoustic Sensing Experiment at Garner Valley, California

In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes noise cross-correlation functions (NCF) . Each file includes a NCF ...

Zeng, X. University of Wisconsin

Mar 26, 2015
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