U.S. Department of EnergyOffice of Scientific and Technical Information
PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1
Abstract
This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour period. The fiber-optic cable extends to the bottom of the well at 367 m below the wellhead. Measurements were made with a Silixa XT DTS interrogator configured to continuously record in each file a sixty-second average of stokes and anti-stokes readings on a single channel with a bottom hole U-bend. The 2016 data were collected using a Silixia Ultima with 12.5 cm spatial sampling, whereas the XT spatial sampling interval is 25 cm with a temperature resolution of 0.03 degrees C. Raw, uncalibrated data were converted to a single .MAT file using code provided by Oregon State University's CTEMPs https://ctemps.org/data-processing. The binary Matlab file containing processed Silixa XT data is read using the Matlab statement "load('Brady_25Aug2018_ch1.mat')", which contains the arrays below. Arrays with 2361 rows represent the channels and arrays with 1210 columns represent the one-minute samples.
- Publication Date:
- Other Number(s):
- 1114
- DOE Contract Number:
- EE0006760
- Research Org.:
- DOE Geothermal Data Repository; Oregon State University
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Collaborations:
- Oregon State University
- Subject:
- 15 GEOTHERMAL ENERGY; Brady; Brady Hot Springs; CTEMPs; DTS; Fiber optic; Matlab; NV; Nevada; PoroTomo; Silixa; Silixa XT; data; distributed temperature sensing; energy; geothermal; observation well; poroelastic tomography; well 56-1
- OSTI Identifier:
- 1495412
- DOI:
- https://doi.org/10.15121/1495412
Citation Formats
Kratt, Christopher, Coleman, Thomas I., Tyler, Scott W., Wang, Herbert F., Miller, Douglas E., and Feigl, Kurt L. PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1. United States: N. p., 2019.
Web. doi:10.15121/1495412.
Kratt, Christopher, Coleman, Thomas I., Tyler, Scott W., Wang, Herbert F., Miller, Douglas E., & Feigl, Kurt L. PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1. United States. doi:https://doi.org/10.15121/1495412
Kratt, Christopher, Coleman, Thomas I., Tyler, Scott W., Wang, Herbert F., Miller, Douglas E., and Feigl, Kurt L. 2019.
"PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1". United States. doi:https://doi.org/10.15121/1495412. https://www.osti.gov/servlets/purl/1495412. Pub date:Wed Jan 09 04:00:00 UTC 2019
@article{osti_1495412,
title = {PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1},
author = {Kratt, Christopher and Coleman, Thomas I. and Tyler, Scott W. and Wang, Herbert F. and Miller, Douglas E. and Feigl, Kurt L.},
abstractNote = {This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour period. The fiber-optic cable extends to the bottom of the well at 367 m below the wellhead. Measurements were made with a Silixa XT DTS interrogator configured to continuously record in each file a sixty-second average of stokes and anti-stokes readings on a single channel with a bottom hole U-bend. The 2016 data were collected using a Silixia Ultima with 12.5 cm spatial sampling, whereas the XT spatial sampling interval is 25 cm with a temperature resolution of 0.03 degrees C. Raw, uncalibrated data were converted to a single .MAT file using code provided by Oregon State University's CTEMPs https://ctemps.org/data-processing. The binary Matlab file containing processed Silixa XT data is read using the Matlab statement "load('Brady_25Aug2018_ch1.mat')", which contains the arrays below. Arrays with 2361 rows represent the channels and arrays with 1210 columns represent the one-minute samples.},
doi = {10.15121/1495412},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 09 04:00:00 UTC 2019},
month = {Wed Jan 09 04:00:00 UTC 2019}
}