Imperial Valley Dark Fiber Project Continuous DAS Data

Dataset · Tue Nov 10 04:00:00 EST 2020

DOI:https://doi.org/10.15121/2281889· OSTI ID:2281889

Ajo-Franklin, Jonathan ^[1]; Dobson, Patrick; Rodriguez Tribaldos, Veronica

---

1. Lawrence Berkeley National Laboratory

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.

• Research Organization: DOE Geothermal Data Repository; Lawrence Berkeley National Laboratory
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
• Contributing Organization: Lawrence Berkeley National Laboratory
• OSTI ID: 2281889
• Report Number(s): 1499
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

15 GEOTHERMAL ENERGY
DAS
Jupyter notebook
Python
brawley
dark fiber
dark fiber DAS
distributed acoustic sensing
earthquakes
energy
fiber optic
geophysics
geothermal
geothermal exploration
h5py
hdf5
hidden geothermal resources
imperial valley
raw data
salton sea
seismic data
seismic noise
seismicity
southern california
strain rate
tectonics
telecommunications fiber