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 - Open Energy Data Initiative (OEDI)
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, GDR. 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]. GDR. 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 GDR. https://doi.org/10.15121/1495412
@misc{OEDI_Dataset_7263,
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 = {GDR, Oregon State University, https://doi.org/10.15121/1495412},
note = {Accessed: 2025-05-29},
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
Original Source
https://gdr.openei.org/submissions/1114Research Areas
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
