83rd EAGE Annual Conference &Amp; Exhibition 2022
DOI: 10.3997/2214-4609.202210404
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Analysis of a Local Earthquake in the Arctic Using a 120 KM Long Fibre-Optic Cable

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Cited by 2 publications
(2 citation statements)
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“…We observe different wave types (compressional and shear) excited in the ocean sub-bottom that correspond to these seismic events as described in Saito & Tsushima 30 . As in previous studies [3][4][5][6] , our DAS analysis shows a rich expression of natural features, from 0.01-20 Hz, capturing not only the range and direction of earthquake hypocentres, but also the effect of deeper-diving waves passing through regions of higher velocity, and the interaction with local bathymetry 31 . We demonstrate that source localisation, exploiting the long array with a massive number of sensing points, represents a valuable complement to conventional methods.…”
Section: Resultssupporting
confidence: 74%
“…We observe different wave types (compressional and shear) excited in the ocean sub-bottom that correspond to these seismic events as described in Saito & Tsushima 30 . As in previous studies [3][4][5][6] , our DAS analysis shows a rich expression of natural features, from 0.01-20 Hz, capturing not only the range and direction of earthquake hypocentres, but also the effect of deeper-diving waves passing through regions of higher velocity, and the interaction with local bathymetry 31 . We demonstrate that source localisation, exploiting the long array with a massive number of sensing points, represents a valuable complement to conventional methods.…”
Section: Resultssupporting
confidence: 74%
“…Such a systematic search computes the travel time for all possible locations in a survey area to find the best matching source location. This kind of GS procedure has been adapted from earthquake seismology (see, e.g., Havskov and Ottemoller (2010)) and it has been previously applied to earthquakes recorded on DAS arrays by Rørstadbotnen et al (2022). GS methods are also commonly used for whale localization (see, e.g., Wilcock (2012); Abadi et al (2017)).…”
Section: Grid Search Position Estimationmentioning
confidence: 99%