Imaging Underwater Faults and Tracking Whales with Optical Fiber Sensing
Abstract
In light of the global shift toward deep-water offshore wind projects, including recent leases off California's central and northern coasts, this study leverages distributed acoustic sensing (DAS) technology on existing dark fiber-optic cables to address environmental and engineering challenges. The primary objective is to identify seafloor geohazards—such as faults, landslides, and turbidites—necessary for the design of floating platform foundations and power cable routes while concurrently monitoring the impact on marine life, specifically whale migrations. To address these two issues simultaneously, we have turned an existing seafloor fiber-optic cable off the central California coast to a DAS array to both image the near-surface conditions of the seafloor and track whale migration through the surrounding area. Passive recordings of ocean waves and ambient seismic noise on DAS were used to image the upper 3000–4000 m of the seafloor sediments, with particularly high resolution on the top sediment layer of geotechnical interest. Fault-scattered seismic waves from local earthquakes also provided fault identification and location within the offshore Los Osos and Hosgri fault zones that the fiber crosses. With the very same recordings, whale calls were used to track the locations of the whales as they passed along and over the fiber. This study shows that DAS can improve both seafloor geophysics and whale monitoring, which are two key issues for emerging energy generation in deep-water locations.
Copyright and License
© 2025 Seismological Society of America
Acknowledgement
The authors thank Jeff Amos of Zayo for being so accommodating and supportive of this research and providing access to the dark fiber and the telecom hut needed to conduct these experiments. This research was wholly funded by John Gregg (former of Gregg Drilling and Gregg Marine); their vision of the future of offshore energy and discussions about novel solutions led to this research coming to fruition. The authors also thank Yan Yang and Ettore Biondi for their help. Han Xiao acknowledges the support of the EU‐INFRATECH program under Grant Agreement ID: 101095055.
Supplemental Material
srl-2024359_supplement- docx file
Data Availability
All data needed to evaluate the conclusions in the article are present in the article or the supplemental material. The data and codes used to reproduce the article’s figures will be made publicly available after review and before the eventual acceptance of the article. Supplemental material includes noise correlations, dispersion curves, and Vs models.
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Additional details
- Available
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2025-01-08Published online
- Caltech groups
- Division of Geological and Planetary Sciences (GPS), Seismological Laboratory
- Publication Status
- Published