Distributed Acoustic Sensing for Near Surface Imaging from Submarine Telecommunication Cable: Case Study in the Trondheim Fjord

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1190/geo2020-0834.1. This is version 2 of this Preprint.

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Authors

Kittinat Taweesintananon , Martin Landrø, Jan Kristoffer Brenne, Aksel Haukanes

Abstract

Distributed acoustic sensing (DAS) transforms submarine telecommunication cables into densely sampled seismic receivers. To demonstrate DAS applications for seismic imaging, we use an optical cable on the seafloor in the Trondheim Fjord, Norway, to record seismic data generated by a controlled seismic source. The data are simultaneously recorded by a towed hydrophone array and the fiber optic cable. Following our data processing methods, we can produce seismic images of the seafloor and underlying geological structures from both the hydrophone array data and the DAS data. We find that the DAS data and the hydrophone data have a comparable signal-to-noise ratio. Moreover, DAS images can be improved by using a seismic source that has sufficiently large energy within the frequency range matching the spatial resolution of DAS. The temporal resolution of the DAS images can be improved by minimizing the crossline offset between seismic sources and the DAS cable. The seismic images from DAS can be obtained to support geohazard analysis and various subsurface exploration activities.

DOI

https://doi.org/10.31223/X56P6F

Subjects

Geophysics and Seismology, Geotechnical Engineering, Signal Processing, Systems and Communications

Keywords

DAS, Distributed acoustic sensing, fiber-optic sensors, near surface, field experiments

Dates

Published: 2021-05-13 10:54

Last Updated: 2021-11-22 16:54

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
This preprint was submitted and under peer review by Geophysics Journal.

Data Availability (Reason not available):
Not available, due to data confidentiality