PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Feigl, Kurt; Reinisch, Elena; Patterson, Jeremy; Jreij, Samir; Parker, Lesley; Nayak, Avinash; Zeng, Xiangfang; Cardiff, Michael; Lord, Neal E.; Fratta, Dante; Thurber, Clifford; Wang, Herbert; Robertson, Michelle; Coleman, Thomas; Miller, Douglas E.; Spielman, Paul; Akerley, John; Kreemer, Corne; Morency, Christina; Matzel, Eric; Trainor-Guitton, Whitney; Davatzes, Nicholas

doi:10.15121/1778858

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

Dataset
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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, 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 filemore »« less

Publication Date:: Tue Mar 29 04:00:00 UTC 2016

Other Number(s):: 980

DOE Contract Number:: EE0006760

Research Org.:: DOE Geothermal Data Repository; University of Wisconsin

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: University of Wisconsin

Subject:: 15 GEOTHERMAL ENERGY; DAS; Jupyter Notebook; OEDI; PoroTomo; bradys geothermal field; distributed acoustic sensing; distributed sensing; downhole; fiber optic; geophysics; geoscience; geothermal; h5py; h5pyd; hdf5; hsds; hydrothermal; poroeleastic tomography; python; raw data; seismic array; seismicity; surface sensors; trenched

OSTI Identifier:: 1778858

DOI:: https://doi.org/10.15121/1778858

Citation Formats


                    Feigl, Kurt, Reinisch, Elena, Patterson, Jeremy, Jreij, Samir, Parker, Lesley, Nayak, Avinash, Zeng, Xiangfang, Cardiff, Michael, Lord, Neal E., Fratta, Dante, Thurber, Clifford, Wang, Herbert, Robertson, Michelle, Coleman, Thomas, Miller, Douglas E., Spielman, Paul, Akerley, John, Kreemer, Corne, Morency, Christina, Matzel, Eric, Trainor-Guitton, Whitney, and Davatzes, Nicholas. PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data.  United States: N. p., 2016. 
        Web.  doi:10.15121/1778858.

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                    Feigl, Kurt, Reinisch, Elena, Patterson, Jeremy, Jreij, Samir, Parker, Lesley, Nayak, Avinash, Zeng, Xiangfang, Cardiff, Michael, Lord, Neal E., Fratta, Dante, Thurber, Clifford, Wang, Herbert, Robertson, Michelle, Coleman, Thomas, Miller, Douglas E., Spielman, Paul, Akerley, John, Kreemer, Corne, Morency, Christina, Matzel, Eric, Trainor-Guitton, Whitney, & Davatzes, Nicholas. PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data.  United States.  doi:https://doi.org/10.15121/1778858

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                    Feigl, Kurt, Reinisch, Elena, Patterson, Jeremy, Jreij, Samir, Parker, Lesley, Nayak, Avinash, Zeng, Xiangfang, Cardiff, Michael, Lord, Neal E., Fratta, Dante, Thurber, Clifford, Wang, Herbert, Robertson, Michelle, Coleman, Thomas, Miller, Douglas E., Spielman, Paul, Akerley, John, Kreemer, Corne, Morency, Christina, Matzel, Eric, Trainor-Guitton, Whitney, and Davatzes, Nicholas. 2016.  
"PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data".  United States.  doi:https://doi.org/10.15121/1778858.  https://www.osti.gov/servlets/purl/1778858. Pub date:Tue Mar 29 04:00:00 UTC 2016

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@article{osti_1778858,

  title        = {PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data},

  author       = {Feigl, Kurt and Reinisch, Elena and Patterson, Jeremy and Jreij, Samir and Parker, Lesley and Nayak, Avinash and Zeng, Xiangfang and Cardiff, Michael and Lord, Neal E. and Fratta, Dante and Thurber, Clifford and Wang, Herbert and Robertson, Michelle and Coleman, Thomas and Miller, Douglas E. and Spielman, Paul and Akerley, John and Kreemer, Corne and Morency, Christina and Matzel, Eric and Trainor-Guitton, Whitney and Davatzes, Nicholas},

  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},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Mar 29 04:00:00 UTC 2016},

  month        = {Tue Mar 29 04:00:00 UTC 2016}

}

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DOI: https://doi.org/10.15121/1778858

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