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Title: 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:
Publication Date:
Other Number(s):
828
DOE Contract Number:  
EE0006760
Research Org.:
USDOE Geothermal Data Repository (United States); Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Collaborations:
University of Wisconsin
Subject:
15 Geothermal Energy
Keywords:
geothermal; Metadata; Well coordinates; Pressure sensor depths; well location; porotomo; brady geothermal; bradys geothermal; field; area; well data; well observation
Geolocation:
39.9883,-118.8167|39.5883,-118.8167|39.5883,-119.2167|39.9883,-119.2167|39.9883,-118.8167
OSTI Identifier:
1261986
DOI:
https://doi.org/10.15121/1261986
Project Location:


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 00:00:00 EST 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 00:00:00 EST 2016},
month = {Sun Mar 13 00:00:00 EST 2016}
}