A Moveout-Based Method for the Detection of Weak Seismic Events Using Downhole DAS Arrays

Lellouch, Ariel; Yuan, Songyong; Spica, Zack; Biondi, Biondo; Ellsworth, W. L.

doi:10.3997/2214-4609.201901242

Cited by 4 publications

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“…Because

c

varies generally smoothly, its effect on the phase of the signal is muted, which explains the success of previous travel time‐based analyses, using both local and teleseismic earthquakes or ambient seismic field directly with DAS strain recordings (Yu et al, ; Zeng et al, ). Because body waves have almost no dispersion, DAS measurements allow measurement of their travel times directly from strain records (e.g., Lellouch et al, , ; Lellouch, Yuan, et al, ).…”

Section: Methodsmentioning

confidence: 99%

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Urban Seismic Site Characterization by Fiber‐Optic Seismology

et al. 2020

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Accurate ground motion prediction requires detailed site effect assessment, but in urban areas where such assessments are most important, geotechnical surveys are difficult to perform, limiting their availability. Distributed acoustic sensing (DAS) offers an appealing alternative by repurposing existing fiber‐optic cables, normally employed for telecommunication, as an array of seismic sensors. We present a proof‐of‐concept demonstration by using DAS to produce high‐resolution maps of the shallow subsurface with the Stanford DAS array, California. We describe new methods and their assumptions to assess H/V spectral ratio—a technique widely used to estimate the natural frequency of the soil—and to extract Rayleigh wave dispersion curves from ambient seismic field. These measurements are jointly inverted to provide models of shallow seismic velocities and sediment thicknesses above bedrock in central campus. The good agreement with an independent survey validates the methodology and demonstrates the power of DAS for microzonation.

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“…Because

c

Section: Methodsmentioning

confidence: 99%

“…no dispersion, DAS measurements allow measurement of their travel times directly from strain records (e.g., Lellouch et al, 2019aLellouch et al, , 2019b.…”

Section: From Strainmeter To Virtual Velocimetermentioning

confidence: 99%

Urban Seismic Site Characterization by Fiber‐Optic Seismology

et al. 2020

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A Literature Review

Li¹,

Karrenbach²,

Ajo‐Franklin³

2021

Geophysical Monograph Series

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Monitoring underwater volcano degassing using fiber-optic sensing

Caudron,

Miao,

Spica

et al. 2024

Sci Rep

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Continuous monitoring of volcanic gas emissions is crucial for understanding volcanic activity and potential eruptions. However, emissions of volcanic gases underwater are infrequently studied or quantified. This study explores the potential of Distributed Acoustic Sensing (DAS) technology to monitor underwater volcanic degassing. DAS converts fiber-optic cables into high-resolution vibration recording arrays, providing measurements at unprecedented spatio-temporal resolution. We conducted an experiment at Laacher See volcano in Germany, immersing a fiber-optic cable in the lake and interrogating it with a DAS system. We detected and analyzed numerous acoustic signals that we associated with bubble emissions in different lake areas. Three types of text-book bubbles exhibiting characteristic waveforms are all found from our detections, indicating different nucleation processes and bubble sizes. Using clustering algorithms, we classified bubble events into four distinct clusters based on their temporal and spectral characteristics. The temporal distribution of the events provided insights into the evolution of gas seepage patterns. This technology has the potential to revolutionize underwater degassing monitoring and provide valuable information for studying volcanic processes and estimating gas emissions. Furthermore, DAS can be applied to other applications, such as monitoring underwater carbon capture and storage operations or methane leaks associated with climate change.

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A Moveout-Based Method for the Detection of Weak Seismic Events Using Downhole DAS Arrays

Cited by 4 publications

References 0 publications

Urban Seismic Site Characterization by Fiber‐Optic Seismology

Urban Seismic Site Characterization by Fiber‐Optic Seismology

A Literature Review

Monitoring underwater volcano degassing using fiber-optic sensing

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