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Community Geothermal: Thermal Conductivity Test and Data Analysis Report Wallingford, CT
Report on a formation thermal conductivity test that was performed on the geothermal test bore at Ulbrich Heights at 38 Louis Circle Lane in Wallingford, Connecticut. Data are applicable only within the Wallingford region and should not be extrapolated for other climatic and geogr...
Martin, C. Connecticut Department of Energy and Environmental Protection (CT DEEP)
Feb 20, 2024
1 Resources
1 Stars
Curated
1 Resources
1 Stars
Curated
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
6 Resources
0 Stars
Publicly accessible
WHOLESCALE: Seismic Survey Metadata from San Emidio Nevada 2021
This is a collection of metadata from the 2021 seismic survey at the San Emidio geothermal field in Nevada. In April and May 2021, 37 tri-axial short period seismographs were deployed in a 1.8km diameter cluster centered on 40.367278 deg N, 119.409019 deg W. The first data record...
Lord, N. et al Department of Geoscience University of Wisconsin-Madison
Apr 06, 2021
10 Resources
0 Stars
Publicly accessible
10 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
4 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
10 Resources
0 Stars
Publicly accessible