Search GDR Data

Showing results 1 - 24 of 24.
Show results per page.
Order by:
Available Now:
Clear All Filters ×
Technologies
Featured Projects
Topics
Data Type
"Observation wells"×
PoroTomo×

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

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.
Lim, D. University of Wisconsin
Mar 13, 2016
6 Resources
0 Stars
Publicly accessible

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
4 Resources
0 Stars
Publicly accessible

Brady Geothermal Field Borehole Pressure Data

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 ...
Cardiff, M. and Lim, D. University of Wisconsin
Apr 01, 2016
4 Resources
0 Stars
Publicly accessible

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
6 Resources
0 Stars
Publicly accessible

Raw Pressure Data from Boise Hydrogeophysical Research Site (BHRS)

Pressure data from a phreatic aquifer was collected in the summer of 2013 during Multi-frequency Oscillatory Hydraulic Tomography pumping tests. All tests were performed at the Boise Hydrogeophysical Research Site. The data will be inverted using a fast steady-periodic adjoint-bas...
Lim, D. University of Wisconsin
Jul 17, 2013
20 Resources
0 Stars
Publicly accessible

Brady Geothermal Field Well Pumping Data During Deployment

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...
Feigl, K. University of Wisconsin
Mar 30, 2016
3 Resources
0 Stars
Publicly accessible

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

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...
Kratt, C. et al Oregon State University
Jan 09, 2019
6 Resources
0 Stars
Publicly accessible

Brady's Geothermal Field Distributed Temperature Sensing Data

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...
Patterson, J. University of Wisconsin
Mar 26, 2016
2 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

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
8 Resources
0 Stars
Publicly accessible

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

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...
Kreemer, C. University of Nevada
Dec 20, 2014
4 Resources
0 Stars
Curated

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files January 19, 2018

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of January 19, 2018. The data is formatted as compressed GNSS RINEX observation files, accessible through .txt files, as well as in links to the complete daily time series data. Addit...
Kreemer, C. University of Wisconsin
Jan 19, 2018
8 Resources
0 Stars
Curated

PoroTomo: BRAD and BRDY GPS Station RINEX Files September 15, 2015

This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of September 15, 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 da...
Kreemer, C. University of Wisconsin
Sep 17, 2015
7 Resources
0 Stars
Curated

PoroTomo: BRAD and BRDY GPS Station RINEX Files January 4, 2016

This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of January 4, 2016. 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....
Kreemer, C. University of Wisconsin
Jan 04, 2016
7 Resources
0 Stars
Curated

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files October 30, 2017

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of October 30, 2017. The data is formatted as compressed GNSS RINEX observation files, accessible through .txt files, as well as in links to the complete daily time series data. Addit...
Kreemer, C. University of Wisconsin
Oct 30, 2017
9 Resources
0 Stars
Curated

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

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. ...
Kreemer, C. University of Wisconsin
Jan 01, 2015
7 Resources
0 Stars
Curated

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files April 26, 2016

This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of April 26, 2016. 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. ...
Kreemer, C. University of Nevada
Apr 26, 2016
8 Resources
0 Stars
Curated

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files October 18, 2016

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of October 18, 2016. 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 da...
Kreemer, C. University of Wisconsin
Oct 11, 2016
9 Resources
0 Stars
Curated

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files January 18, 2017

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of January 18, 2017. 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 da...
Kreemer, C. University of Wisconsin
Jan 18, 2017
9 Resources
0 Stars
Curated

PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files April 14, 2017

This dataset provides links to daily RINEX files for three GPS stations at Brady's Hot Springs as of April 14, 2017. 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...
Kreemer, C. University of Wisconsin
Apr 14, 2017
9 Resources
0 Stars
Curated

PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion

Included here are Distributed Acoustic Sensing (DAS) data collected by the horizontal DAS array at Brady's Hot Springs Geothermal Field. The system recorded this data during an M 2.3 explosion at the Nevada Test Site (NTS), which is located approximately 400km southeast of the fie...
Kratt, C. et al Center for Transformative Environmental Monitoring Programs (CTEMPs)
Dec 18, 2018
5 Resources
0 Stars
Curated

Brady Geothermal Field PoroTomo Laboratory Deployment Map

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
Lopeman, J. University of Wisconsin
Mar 01, 2016
1 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

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
10 Resources
0 Stars
Publicly accessible