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.
PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data
Interactive Jupyter Notebook that provides a tutorial for working with DAS data, in SEGY format, using the PoroTomo dataset
PoroTomo SEG-Y Interactive Jupyter Notebook Tutorial
Previous GDR submission with metadata on DASH location and recording history.
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 Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.
A list of the number of data files recorded each day and other metadata.
Interactive Jupyter Notebook that provides a tutorial for working with DAS data, in hdf5 format, using the PoroTomo dataset available via HSDS using h5pyd.
PoroTomo HSDS Interactive Jupyter Notebook Tutorial
Metadata from horizontal and vertical DAS.
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 service, users with access to NREL’s HPC should pursue direct access through that system. This repository provides examples and convenience functions for accessing the below datasets using HSDS: Wind Integration National Dataset (WIND) Toolkit and National Solar Radiation Database (NSRDB). This service operates with the HSDS software developed by the HDF Group and is hosted on Amazon Web Services (AWS) using a combination of EC2 (Elastic Compute) and S3 (Scalable Storage Service). The same approach may be applied when accessing the PoroTomo dataset.
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 groups of files.
Direct link to the DASH data files from tap tests that occurred March 8th and 9th 2016.
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 Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.
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) data collected as part of the Poroelastic Tomography (PoroTomo) project funded in part by the Office of Energy Efficiency and Renewable Energy (EERE), U.S. Department of Energy. Link to the AWS Open Data Registry for the PoroTomo dataset. 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) data collected as part of the Poroelastic Tomography (PoroTomo) project funded in part by the Office of Energy Efficiency and Renewable Energy (EERE), U.S. Department of Energy. This page includes information about access to the data via AWS CLI which does not require an AWS account.
Link to the metadata for the UTM and LatLon coordinates of the DASH cable
Interactive Jupyter Notebook that provides a tutorial for working with DAS data, in hdf5 format, using the PoroTomo dataset.
PoroTomo hdf5 Interactive Jupyter Notebook Tutorial
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 accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.
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 accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.