PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1
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.
Citation Formats
TY - DATA
AB - 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.
AU - Kratt, Christopher
A2 - Coleman, Thomas I.
A3 - Tyler, Scott W.
A4 - Wang, Herbert F.
A5 - Miller, Douglas E.
A6 - Feigl, Kurt L.
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1495412
KW - geothermal
KW - energy
KW - DTS
KW - Brady
KW - PoroTomo
KW - CTEMPs
KW - Fiber optic
KW - Silixa
KW - distributed temperature sensing
KW - well 56-1
KW - Matlab
KW - data
KW - poroelastic tomography
KW - Brady Hot Springs
KW - Nevada
KW - NV
KW - observation well
KW - Silixa XT
LA - English
DA - 2019/01/09
PY - 2019
PB - Oregon State University
T1 - PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1
UR - https://doi.org/10.15121/1495412
ER -
Kratt, Christopher, et al. PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1. Oregon State University, 9 January, 2019, Geothermal Data Repository. https://doi.org/10.15121/1495412.
Kratt, C., Coleman, T., Tyler, S., Wang, H., Miller, D., & Feigl, K. (2019). PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1. [Data set]. Geothermal Data Repository. Oregon State University. https://doi.org/10.15121/1495412
Kratt, Christopher, Thomas I. Coleman, Scott W. Tyler, Herbert F. Wang, Douglas E. Miller, and Kurt L. Feigl. PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1. Oregon State University, January, 9, 2019. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1495412
@misc{GDR_Dataset_1114,
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.},
url = {https://gdr.openei.org/submissions/1114},
year = {2019},
howpublished = {Geothermal Data Repository, Oregon State University, https://doi.org/10.15121/1495412},
note = {Accessed: 2025-05-05},
doi = {10.15121/1495412}
}
https://dx.doi.org/10.15121/1495412
Details
Data from Jan 9, 2019
Last updated Jul 8, 2021
Submitted Jan 28, 2019
Organization
Oregon State University
Contact
Christopher Kratt
Authors
Keywords
geothermal, energy, DTS, Brady, PoroTomo, CTEMPs, Fiber optic, Silixa, distributed temperature sensing, well 56-1, Matlab, data, poroelastic tomography, Brady Hot Springs, Nevada, NV, observation well, Silixa XTDOE Project Details
Project Name PoroTomo: Poroelastic Tomography by Adjoint Inverse Modeling of Data from Seismology, Geodesy, and Hydrology
Project Lead Elisabet Metcalfe
Project Number EE0006760
