Characterizing urban seismic noise recorded by distributed acoustic sensing array

Shen, Junzhu; Zhu, Tieyuan

doi:10.1190/segam2021-3583704.1

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…Li & Zhan, 2018;Lellouch, Yuan, et al, 2019a), monitoring landslides (Iten, 2012), recording volcanic activity (Klaasen et al, 2021;Currenti et al, 2021;Nishimura et al, 2021;Jousset et al, 2022), characterizing permafrost thaw (J. Ajo-Franklin et al, 2017;Cheng et al, n.d.), estimating blasts or explosions (Zhu et al, 2021;Mellors et al, 2021), and recording weather-ground events (Zhu & Stensrud, 2019;Shen & Zhu, 2021a). DAS recordings were also used for ambient noise interferometry (e.g., Zeng et al, 2017; E. R. , offering the possibility to retrieve repeatable signals (i.e., Rayleigh and Love waves) for near-surface characterization (E. Dou et al, 2017) and aquifer monitoring (Rodríguez Tribaldos & Ajo-Franklin, 2021).…”

Section: Overview Of the Current Fields Of Application In Earth Sciencesmentioning

confidence: 99%

PubDAS: a PUBlic Distributed Acoustic Sensing datasets repository for geosciences

Spica¹,

Ajo‐Franklin²,

Beroza³

et al. 2022

Preprint

Self Cite

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During the past few years, Distributing Acoustic Sensing (DAS) has become an invaluable tool for recording high-fidelity seismic wavefields with great spatiotemporal resolutions. However, the considerable amount of data generated during DAS experiments limits their distribution with the broader scientific community. Such a bottleneck inherently slows down the pursuit of new scientific discoveries in geosciences. Here, we introduce PubDAS, the first large-scale open-source repository where several DAS datasets from multiple experiments are publicly shared. PubDAS currently hosts eight datasets covering a variety of geological settings (e.g., urban centers, underground mine, seafloor), spanning from several days to several years, offering both continuous and triggered active source recordings, and totalling up to ~90 Tb of data. This manuscript describes these datasets, their metadata, and how to access and download them. Some of these datasets have only been shallowly explored, leaving the door open for new discoveries in Earth sciences and beyond.

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Section: Overview Of the Current Fields Of Application In Earth Sciencesmentioning

confidence: 99%

PubDAS: a PUBlic Distributed Acoustic Sensing datasets repository for geosciences

Spica¹,

Ajo‐Franklin²,

Beroza³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

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Detecting fractures and monitoring hydraulic fracturing processes at the first EGS Collab testbed using borehole DAS ambient noise

Li,

Huang,

Zheng

et al. 2024

GEOPHYSICS

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Enhanced geothermal systems (EGS) require cost-effective monitoring of fracture networks. We validate the capability of using borehole distributed-acoustic-sensing (DAS) ambient noise for fracture monitoring using core photos and core logs. The EGS Collab Project conducts 10-m-scale field experiments of hydraulic fracture stimulation using 50-60 m deep experimental wells at the Sanford Underground Research Facility (SURF) in Lead, South Dakota. The first EGS Collab testbed is located at the 1616.67 m (4850 ft) depth at SURF and consists of one injection well, one production well, and six monitoring wells. All wells were drilled sub-horizontally from an access tunnel called a drift. The project uses a single continuous fiber optic cable installed sequentially in the six monitoring wells to record DAS data for monitoring hydraulic fracturing during stimulation. We analyze 60-s time records of the borehole DAS ambient noise data and compute the noise root-mean-squares (RMS) amplitude on each channel (points along the fiber cable) to obtain DAS ambient noise RMS amplitude depth profiles along the monitoring wellbores. Our noise RMS amplitude profiles show amplitude peaks at distinct depths. We compare the DAS noise RMS amplitude profiles with borehole core photos and core logs and find that the DAS noise RMS amplitude peaks correspond to the locations of fractures or lithological changes shown in the core photos or core logs. We then compute the hourly DAS noise RMS amplitude profiles in two monitoring wells during three stimulation cycles in 72 hours and find that the DAS noise RMS amplitude profiles vary with time, indicating the fracture opening/growth or closing during the hydraulic stimulation. Our results demonstrate that borehole DAS passive ambient noise can be used to detect fractures and monitor fracturing processes in EGS reservoirs.

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PubDAS: A PUBlic Distributed Acoustic Sensing Datasets Repository for Geosciences

Spica

Ajo‐Franklin

Beroza

et al. 2023

Seismological Research Letters

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During the past few years, distributed acoustic sensing (DAS) has become an invaluable tool for recording high-fidelity seismic wavefields with great spatiotemporal resolutions. However, the considerable amount of data generated during DAS experiments limits their distribution with the broader scientific community. Such a bottleneck inherently slows down the pursuit of new scientific discoveries in geosciences. Here, we introduce PubDAS—the first large-scale open-source repository where several DAS datasets from multiple experiments are publicly shared. PubDAS currently hosts eight datasets covering a variety of geological settings (e.g., urban centers, underground mines, and seafloor), spanning from several days to several years, offering both continuous and triggered active source recordings, and totaling up to ∼90 TB of data. This article describes these datasets, their metadata, and how to access and download them. Some of these datasets have only been shallowly explored, leaving the door open for new discoveries in Earth sciences and beyond.

show abstract

Characterizing urban seismic noise recorded by distributed acoustic sensing array

Cited by 4 publications

References 13 publications

PubDAS: a PUBlic Distributed Acoustic Sensing datasets repository for geosciences

PubDAS: a PUBlic Distributed Acoustic Sensing datasets repository for geosciences

Detecting fractures and monitoring hydraulic fracturing processes at the first EGS Collab testbed using borehole DAS ambient noise

PubDAS: A PUBlic Distributed Acoustic Sensing Datasets Repository for Geosciences

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