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Title: Brady's Geothermal Field DAS and DTS Surface and Borehole Array Metadata

Abstract

This metadata submission includes the coordinates of the DAS and DTS surface and borehole arrays, the list of file names, and the list of recorded files during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. Testing was completed during March 2016.

Creator(s)/Author(s):
Publication Date:
Other Number(s):
829
DOE Contract Number:  
EE0006760
Product Type:
Dataset
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)
Subject:
15 Geothermal Energy
Keywords:
geothermal; DAS; DTS; fiber optic; seismic array; temperature arrays; surface sensors; borehole sensors; coordinates; file listing; File list; Data collection gaps; DAS data; horizontal array; metadata; UTM coordinates; meters; Borehole array; borehole; distributed temperature sensing; distributed acoustic sensing; seismic monitoring; passive monitoring
OSTI Identifier:
1261907
DOI:
10.15121/1261907

Citation Formats

Fratta, Dante. Brady's Geothermal Field DAS and DTS Surface and Borehole Array Metadata. United States: N. p., 2016. Web. doi:10.15121/1261907.
Fratta, Dante. Brady's Geothermal Field DAS and DTS Surface and Borehole Array Metadata. United States. doi:10.15121/1261907.
Fratta, Dante. 2016. "Brady's Geothermal Field DAS and DTS Surface and Borehole Array Metadata". United States. doi:10.15121/1261907. https://www.osti.gov/servlets/purl/1261907. Pub date:Thu Mar 31 00:00:00 EDT 2016
@article{osti_1261907,
title = {Brady's Geothermal Field DAS and DTS Surface and Borehole Array Metadata},
author = {Fratta, Dante},
abstractNote = {This metadata submission includes the coordinates of the DAS and DTS surface and borehole arrays, the list of file names, and the list of recorded files during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. Testing was completed during March 2016.},
doi = {10.15121/1261907},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {3}
}

Dataset:

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