Imperial Valley Dark Fiber Project Continuous DAS Data
The Imperial Valley Dark Fiber Project acquired Distributed Acoustic Sensing (DAS) seismic data on a ~28 km segment of dark fiber between the cities of Calipatria and Imperial in the Imperial Valley, Southern California. Dark fiber refers to unused optical fiber cables in telecommunications networks and is repurposed in this project for DAS applications. The objective, which is further detailed in the attached journal article from Ajo-Franklin et al., is to demonstrate dark fiber DAS as a tool for basin-scale geothermal exploration and monitoring. The included DAS data were recorded during two days at the beginning the project. Data is stored in the .h5 (HDF5) file format, readable using various software tools, including the 'h5read' and 'h5info' functions in Matlab. Provided here are examples of methods to read and use the data with the 'h5py' package in Python.
Citation Formats
TY - DATA
AB - The Imperial Valley Dark Fiber Project acquired Distributed Acoustic Sensing (DAS) seismic data on a ~28 km segment of dark fiber between the cities of Calipatria and Imperial in the Imperial Valley, Southern California. Dark fiber refers to unused optical fiber cables in telecommunications networks and is repurposed in this project for DAS applications. The objective, which is further detailed in the attached journal article from Ajo-Franklin et al., is to demonstrate dark fiber DAS as a tool for basin-scale geothermal exploration and monitoring. The included DAS data were recorded during two days at the beginning the project. Data is stored in the .h5 (HDF5) file format, readable using various software tools, including the 'h5read' and 'h5info' functions in Matlab. Provided here are examples of methods to read and use the data with the 'h5py' package in Python.
AU - Ajo-Franklin, Jonathan
A2 - Dobson, Patrick
A3 - Rodriguez Tribaldos, Veronica
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/2281889
KW - geothermal
KW - energy
KW - distributed acoustic sensing
KW - DAS
KW - imperial valley
KW - brawley
KW - hidden geothermal resources
KW - earthquakes
KW - seismicity
KW - tectonics
KW - southern california
KW - seismic data
KW - strain rate
KW - seismic noise
KW - dark fiber
KW - dark fiber DAS
KW - salton sea
KW - raw data
KW - geothermal exploration
KW - telecommunications fiber
KW - Python
KW - hdf5
KW - Jupyter notebook
KW - geophysics
KW - fiber optic
KW - h5py
LA - English
DA - 2020/11/10
PY - 2020
PB - Lawrence Berkeley National Laboratory
T1 - Imperial Valley Dark Fiber Project Continuous DAS Data
UR - https://doi.org/10.15121/2281889
ER -
Ajo-Franklin, Jonathan, et al. Imperial Valley Dark Fiber Project Continuous DAS Data. Lawrence Berkeley National Laboratory, 10 November, 2020, Geothermal Data Repository. https://doi.org/10.15121/2281889.
Ajo-Franklin, J., Dobson, P., & Rodriguez Tribaldos, V. (2020). Imperial Valley Dark Fiber Project Continuous DAS Data. [Data set]. Geothermal Data Repository. Lawrence Berkeley National Laboratory. https://doi.org/10.15121/2281889
Ajo-Franklin, Jonathan, Patrick Dobson, and Veronica Rodriguez Tribaldos. Imperial Valley Dark Fiber Project Continuous DAS Data. Lawrence Berkeley National Laboratory, November, 10, 2020. Distributed by Geothermal Data Repository. https://doi.org/10.15121/2281889
@misc{GDR_Dataset_1499,
title = {Imperial Valley Dark Fiber Project Continuous DAS Data},
author = {Ajo-Franklin, Jonathan and Dobson, Patrick and Rodriguez Tribaldos, Veronica},
abstractNote = {The Imperial Valley Dark Fiber Project acquired Distributed Acoustic Sensing (DAS) seismic data on a ~28 km segment of dark fiber between the cities of Calipatria and Imperial in the Imperial Valley, Southern California. Dark fiber refers to unused optical fiber cables in telecommunications networks and is repurposed in this project for DAS applications. The objective, which is further detailed in the attached journal article from Ajo-Franklin et al., is to demonstrate dark fiber DAS as a tool for basin-scale geothermal exploration and monitoring. The included DAS data were recorded during two days at the beginning the project. Data is stored in the .h5 (HDF5) file format, readable using various software tools, including the 'h5read' and 'h5info' functions in Matlab. Provided here are examples of methods to read and use the data with the 'h5py' package in Python.},
url = {https://gdr.openei.org/submissions/1499},
year = {2020},
howpublished = {Geothermal Data Repository, Lawrence Berkeley National Laboratory, https://doi.org/10.15121/2281889},
note = {Accessed: 2025-05-05},
doi = {10.15121/2281889}
}
https://dx.doi.org/10.15121/2281889
Details
Data from Nov 10, 2020
Last updated Jan 19, 2024
Submitted Dec 14, 2023
Organization
Lawrence Berkeley National Laboratory
Contact
Avinash Nayak
510.486.6658
Authors
Keywords
geothermal, energy, distributed acoustic sensing, DAS, imperial valley, brawley, hidden geothermal resources, earthquakes, seismicity, tectonics, southern california, seismic data, strain rate, seismic noise, dark fiber, dark fiber DAS, salton sea, raw data, geothermal exploration, telecommunications fiber, Python, hdf5, Jupyter notebook, geophysics, fiber optic, h5pyDOE Project Details
Project Name Using Dark Fiber and Distributed Acoustic Sensing (DAS) to Map and Monitor Geothermal Resources at the Basin Scale
Project Lead Alexandra Prisjatschew
Project Number 35524
