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Title: Brady's Geothermal Field Distributed Temperature Sensing Data

Abstract

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 double-loop set up. Data includes forward length and backward length temperature measurements.

Authors:
Publication Date:
Other Number(s):
958
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:
PoroTomo; DTS; EGS; Brady; fiber-optics; temperature; Nevada; borehole; poroelastic tomography; distributed temperature sensing; hot springs
OSTI Identifier:
1377901
DOI:
10.15121/1377901

Citation Formats

Patterson, Jeremy. Brady's Geothermal Field Distributed Temperature Sensing Data. United States: N. p., 2016. Web. doi:10.15121/1377901.
Patterson, Jeremy. Brady's Geothermal Field Distributed Temperature Sensing Data. United States. doi:10.15121/1377901.
Patterson, Jeremy. 2016. "Brady's Geothermal Field Distributed Temperature Sensing Data". United States. doi:10.15121/1377901. https://www.osti.gov/servlets/purl/1377901. Pub date:Sat Mar 26 00:00:00 EDT 2016
@article{osti_1377901,
title = {Brady's Geothermal Field Distributed Temperature Sensing Data},
author = {Patterson, Jeremy},
abstractNote = {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 double-loop set up. Data includes forward length and backward length temperature measurements.},
doi = {10.15121/1377901},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {3}
}

Dataset:

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