U.S. Department of EnergyOffice of Scientific and Technical Information
Brady Well Coordinates and Observation Sensor Depths
Abstract
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 .csv file.
- Authors:
-
- University of Wisconsin
- Publication Date:
- Other Number(s):
- 828
- DOE Contract Number:
- EE0006760
- Research Org.:
- DOE Geothermal Data Repository; University of Wisconsin
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
- Collaborations:
- University of Wisconsin
- Subject:
- 15 GEOTHERMAL ENERGY; Metadata; Pressure sensor depths; Well coordinates; area; brady geothermal; bradys geothermal; field; geothermal; porotomo; well data; well location; well observation
- OSTI Identifier:
- 1261986
- DOI:
- https://doi.org/10.15121/1261986
Citation Formats
Lim, David. Brady Well Coordinates and Observation Sensor Depths. United States: N. p., 2016.
Web. doi:10.15121/1261986.
Lim, David. Brady Well Coordinates and Observation Sensor Depths. United States. doi:https://doi.org/10.15121/1261986
Lim, David. 2016.
"Brady Well Coordinates and Observation Sensor Depths". United States. doi:https://doi.org/10.15121/1261986. https://www.osti.gov/servlets/purl/1261986. Pub date:Sun Mar 13 04:00:00 UTC 2016
@article{osti_1261986,
title = {Brady Well Coordinates and Observation Sensor Depths},
author = {Lim, David},
abstractNote = {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 .csv file.},
doi = {10.15121/1261986},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Mar 13 04:00:00 UTC 2016},
month = {Sun Mar 13 04:00:00 UTC 2016}
}
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