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PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Publicly accessible License 

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, Jupyter Notebook tutorials 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.

These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.

Citation Formats

University of Wisconsin. (2016). PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data [data set]. Retrieved from https://dx.doi.org/10.15121/1778858.
Export Citation to RIS
Feigl, Kurt, Taverna, Nicole, and Rossol, Michael. PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data. United States: N.p., 29 Mar, 2016. Web. doi: 10.15121/1778858.
Feigl, Kurt, Taverna, Nicole, & Rossol, Michael. PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data. United States. https://dx.doi.org/10.15121/1778858
Feigl, Kurt, Taverna, Nicole, and Rossol, Michael. 2016. "PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data". United States. https://dx.doi.org/10.15121/1778858. https://data.openei.org/submissions/3653.
@div{oedi_3653, title = {PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data}, author = {Feigl, Kurt, Taverna, Nicole, and Rossol, Michael.}, 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, Jupyter Notebook tutorials 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.

These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.}, doi = {10.15121/1778858}, url = {https://data.openei.org/submissions/3653}, journal = {}, number = , volume = , place = {United States}, year = {2016}, month = {03}}
https://dx.doi.org/10.15121/1778858

Details

Data from Mar 29, 2016

Last updated Jul 8, 2021

Submitted Nov 8, 2017

Organization

University of Wisconsin

Contact

Kurt Feigl

Authors

Kurt Feigl

University of Wisconsin

Nicole Taverna

National Renewable Energy Laboratory

Michael Rossol

National Renewable Energy Laboratory

DOE Project Details

Project Name PoroTomo Project

Project Lead Elisabet Metcalfe

Project Number EE0006760

Research Areas

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