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Title: PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Abstract

This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also included are links to the documentation for the dataset, a Jupyter Notebook tutorial for working with the data as it is stored in AWS S3, and links to data viewers in OEDI for the horizontal (DASH) and vertical (DASV) DAS datasets. Horizontal DAS (DASH) data collection began 3/8/16, paused, and then started again on 3/11/2016 and ended 3/26/2016 using zigzag trenched fiber optic cabels. Vertical DAS (DASV) data collection began 3/17/2016 and ended 3/28/16 using a fiber optic cable through the first 363 m of a vertical well. These are raw data files from the DAS deployment at (DASH) and below (DASV) the surface during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. SEG-Y and hdf5 files are stored in 30 second files organized into directories by day. The hdf5 files available via HSDS are stored in daily files. Metadata includes information on the timing of recording gaps and amore » file count is included that lists the number of files from each day of recording.« less

Authors:
Publication Date:
Other Number(s):
980
DOE Contract Number:  
EE0006760
Research Org.:
USDOE Geothermal Data Repository (United States); Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Collaborations:
University of Wisconsin
Subject:
15 Geothermal Energy
Keywords:
geothermal; PoroTomo; DAS; fiber optic; surface sensors; seismic array; distributed acoustic sensing; poroeleastic tomography; bradys geothermal field; geoscience; distributed sensing; downhole; trenched; seismicity; hydrothermal; geophysics; OEDI; raw data; Jupyter Notebook; python; hdf5; hsds; h5py; h5pyd
Geolocation:
39.9883, (-118.8167
OSTI Identifier:
1721671
DOI:
https://doi.org/10.15121/1721671
Project Location:
Brady Hot Springs Geothermal Area
DOE DataExplorer Dataset Location Google Map

Citation Formats

Feigl, Kurt. PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data. United States: N. p., 1969. Web. doi:10.15121/1721671.
Feigl, Kurt. PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data. United States. doi:https://doi.org/10.15121/1721671
Feigl, Kurt. 1969. "PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data". United States. doi:https://doi.org/10.15121/1721671. https://www.osti.gov/servlets/purl/1721671. Pub date:Wed Dec 31 00:00:00 EST 1969
@article{osti_1721671,
title = {PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data},
author = {Feigl, Kurt},
abstractNote = {This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also included are links to the documentation for the dataset, a Jupyter Notebook tutorial for working with the data as it is stored in AWS S3, and links to data viewers in OEDI for the horizontal (DASH) and vertical (DASV) DAS datasets. Horizontal DAS (DASH) data collection began 3/8/16, paused, and then started again on 3/11/2016 and ended 3/26/2016 using zigzag trenched fiber optic cabels. Vertical DAS (DASV) data collection began 3/17/2016 and ended 3/28/16 using a fiber optic cable through the first 363 m of a vertical well. These are raw data files from the DAS deployment at (DASH) and below (DASV) the surface during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. SEG-Y and hdf5 files are stored in 30 second files organized into directories by day. The hdf5 files available via HSDS are stored in daily files. Metadata includes information on the timing of recording gaps and a file count is included that lists the number of files from each day of recording.},
doi = {10.15121/1721671},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1969},
month = {12}
}