Related Datasets

PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

DOI 10.15121/1778858

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.

DAS Metadata

Metadata from horizontal and vertical DAS.

View Linked Dataset

DASH Deployment Metadata

Previous GDR submission with metadata on DASH location and recording history.

View Linked Dataset

DASH File Count.txt

A list of the number of data files recorded each day and other metadata.

287

Download 0.54 kB

Data in OEDI S3 Viewer

Link to PoroTomo DASH and DASV data in both SEG-Y and hdf5 formats in Open Energy Data Initiative (OEDI) data viewer. Allows users to browse and download individual or ... more

11,427,852

AWS CLI Access: aws s3 ls --no-sign-request s3://nrel-pds-porotomo/

View Data Lake 172.15 TB

Feigl et al. 2018 Stanford Paper

Feigl et al., 2018 paper published on the PoroTomo data, titled "Overview and Preliminary Results from the PoroTomo project at Brady Hot Springs, Nevada: Poroelastic To... more

View

HSDS Examples

Jupyter Notebook

NREL's HSDS service provides public access to several of DOEs high-value datasets available internally on the Eagle HCP System. Due to the high demand for the HSDS serv... more

View Repository

Miller et al. 2018 Stanford Paper

Miller et al., 2018 paper published on the PoroTomo data, titled "DAS and DTS at Brady Hot Springs: Observations about Coupling and Coupled Interpretations," and presen... more

View

PoroTomo DASH Data in SEG-Y Format

Location of PoroTomo DASH 30 second data files in SEG-Y format. These data are available for download without login credentials through the free and publicly accessibl... more

1,659,550

AWS CLI Access: aws s3 ls --no-sign-request s3://nrel-pds-porotomo/DAS/SEG-Y/DASH/

View Data Lake 46.4 TB

PoroTomo DASH Data in Standardized H5 Format

Location of PoroTomo DASH 30 second data files in standardized HDF5 format. This data was converted and standardized from the original SEG-Y format via the GDR's DAS da... more

137,648

AWS CLI Access: aws s3 ls --no-sign-request s3://nrel-pds-porotomo/DAS/H5-standardized/DASH/

View Data Lake 38.88 TB

PoroTomo DASH Data in hdf5 Format

Location of PoroTomo DASH 30 second data files in hdf5 format. These data are available for download without login credentials through the free and publicly accessible ... more

1,311,979

AWS CLI Access: aws s3 ls --no-sign-request s3://nrel-pds-porotomo/DAS/H5/DASH/

View Data Lake 81.21 TB

PoroTomo DASV Data in SEG-Y Format

Location of PoroTomo DASV 30 second data files in SEG-Y format. These data are available for download without login credentials through the free and publicly accessibl... more

300,498

AWS CLI Access: aws s3 ls --no-sign-request s3://nrel-pds-porotomo/DAS/SEG-Y/DASV/

View Data Lake 980.42 GB

PoroTomo DASV Data in Standardized H5 Format

Location of PoroTomo DASV 30 second data files in standardized HDF5 format. This data was converted and standardized from the original SEG-Y format via the GDR's DAS da... more

71,127

AWS CLI Access: aws s3 ls --no-sign-request s3://nrel-pds-porotomo/DAS/H5-standardized/DASV/

View Data Lake 983.99 GB

PoroTomo DASV Data in hdf5 Format

Location of PoroTomo DASV 30 second data files in hdf5 format. These data are available for download without login credentials through the free and publicly accessible ... more

215,724

AWS CLI Access: aws s3 ls --no-sign-request s3://nrel-pds-porotomo/DAS/H5/DASV/

View Data Lake 1.34 TB

PoroTomo Dataset Documentation

Jupyter Notebook

Documentation for the PoroTomo dataset

View Repository

PoroTomo HSDS Interactive Jupyter Notebook Tutorial

Jupyter Notebook Python

Interactive Jupyter Notebook that provides a tutorial for working with DAS data, in hdf5 format, using the PoroTomo dataset available via HSDS using h5pyd.

View Jupyter Notebook

PoroTomo Registry of Open Data on AWS

Released to the public as part of the Department of Energy's Open Energy Data Initiative, these data represent vertical and horizontal distributed acoustic sensing (DAS... more

View

PoroTomo SEG-Y Interactive Jupyter Notebook Tutorial

Jupyter Notebook Python

Interactive Jupyter Notebook that provides a tutorial for working with DAS data, in SEGY format, using the PoroTomo dataset

View Jupyter Notebook

PoroTomo hdf5 Interactive Jupyter Notebook Tutorial

Jupyter Notebook Python

Interactive Jupyter Notebook that provides a tutorial for working with DAS data, in hdf5 format, using the PoroTomo dataset.

View Jupyter Notebook

Tap Test Data

Direct link to the DASH data files from tap tests that occurred March 8th and 9th 2016.

18,372

AWS CLI Access: aws s3 ls --no-sign-request s3://nrel-pds-porotomo/DAS/SEG-Y/DASH/20160308/

View Data Lake 225.35 GB

Updated DASH Location Metadata

Link to the metadata for the UTM and LatLon coordinates of the DASH cable

View Repository

Citation Formats

TY  - DATA
AB  - 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.
AU  - Feigl, Kurt
A2  - Reinisch, Elena
A3  - Patterson, Jeremy
A4  - Jreij, Samir
A5  - Parker, Lesley
A6  - Nayak, Avinash
A7  - Zeng, Xiangfang
A8  - Cardiff, Michael
A9  - Lord, Neal E.
A10  - Fratta, Dante
A11  - Thurber, Clifford
A12  - Wang, Herbert
A13  - Robertson, Michelle
A14  - Coleman, Thomas
A15  - Miller, Douglas E.
A16  - Spielman, Paul
A17  - Akerley, John
A18  - Kreemer, Corne
A19  - Morency, Christina
A20  - Matzel, Eric
A21  - Trainor-Guitton, Whitney
A22  - Davatzes, Nicholas
DB  - Geothermal Data Repository
DP  - Open EI | National Renewable Energy Laboratory
DO  - 10.15121/1778858
KW  - geothermal
KW  - PoroTomo
KW  - DAS
KW  - fiber optic
KW  - surface sensors
KW  - seismic array
KW  - distributed acoustic sensing
KW  - poroeleastic tomography
KW  - bradys geothermal field
KW  - geoscience
KW  - distributed sensing
KW  - downhole
KW  - trenched
KW  - seismicity
KW  - hydrothermal
KW  - geophysics
KW  - OEDI
KW  - raw data
KW  - Jupyter Notebook
KW  - python
KW  - hdf5
KW  - hsds
KW  - h5py
KW  - h5pyd
LA  - English
DA  - 2016/03/29
PY  - 2016
PB  - University of Wisconsin
T1  - PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data
UR  - https://doi.org/10.15121/1778858
ER  -

Export Citation to RIS

Feigl, Kurt, et al. PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data. University of Wisconsin, 29 March, 2016, Geothermal Data Repository. https://doi.org/10.15121/1778858.

Feigl, K., Reinisch, E., Patterson, J., Jreij, S., Parker, L., Nayak, A., Zeng, X., Cardiff, M., Lord, N., Fratta, D., Thurber, C., Wang, H., Robertson, M., Coleman, T., Miller, D., Spielman, P., Akerley, J., Kreemer, C., Morency, C., Matzel, E., Trainor-Guitton, W., & Davatzes, N. (2016). PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data. [Data set]. Geothermal Data Repository. University of Wisconsin. https://doi.org/10.15121/1778858

Feigl, Kurt, Elena Reinisch, Jeremy Patterson, Samir Jreij, Lesley Parker, Avinash Nayak, Xiangfang Zeng, Michael Cardiff, Neal E. Lord, Dante Fratta, Clifford Thurber, Herbert Wang, Michelle Robertson, Thomas Coleman, Douglas E. Miller, Paul Spielman, John Akerley, Corne Kreemer, Christina Morency, Eric Matzel, Whitney Trainor-Guitton, and Nicholas Davatzes. PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data. University of Wisconsin, March, 29, 2016.  Distributed by Geothermal Data Repository. https://doi.org/10.15121/1778858

@misc{GDR_Dataset_980,
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.},
url = {https://gdr.openei.org/submissions/980},
year = {2016},
howpublished = {Geothermal Data Repository, University of Wisconsin, https://doi.org/10.15121/1778858},
note = {Accessed: 2025-05-06},
doi = {10.15121/1778858}
}

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

Details

Data from Mar 29, 2016

Last updated Oct 24, 2024

Submitted Nov 8, 2017

Organization

University of Wisconsin

Contact

Kurt Feigl

Authors

Kurt Feigl

University of Wisconsin

Elena Reinisch

University of Wisconsin

Jeremy Patterson

University of Wisconsin

Samir Jreij

Colorado School of Mines

Lesley Parker

University of Wisconsin

Avinash Nayak

University of Wisconsin

Xiangfang Zeng

University of Wisconsin

Michael Cardiff

University of Wisconsin

Neal E. Lord

University of Wisconsin

Dante Fratta

University of Wisconsin

Clifford Thurber

University of Wisconsin

Herbert Wang

University of Wisconsin

Michelle Robertson

Lawrence Berkeley National Laboratory

Thomas Coleman

Silixa

Douglas E. Miller

Silixa

Paul Spielman

Ormat Technologies Inc.

John Akerley

Ormat Technologies Inc.

Corne Kreemer

University of Nevada

Christina Morency

Lawrence Livermore National Laboratory

Eric Matzel

Lawrence Livermore National Laboratory

Whitney Trainor-Guitton

Colorado School of Mines

Nicholas Davatzes

Chinese Academy of Sciences

DOE Project Details

Project Name PoroTomo Project

Project Lead Elisabet Metcalfe

Project Number EE0006760

PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Citation Formats

Details

Organization

Contact

Authors

Keywords

DOE Project Details

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