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A Metadata and Time-Series DAS Workflow Using Cloud Computing

Description: 

The high spatial and temporal resolution that DAS provides has the potential to transform how geophysical network monitoring is performed. DAS provides strain measurements at a spatial resolution of meters along cables that can be tens of kilometers in length at kilohertz sample rates, surpassing the resolution provided by setups of traditional seismic instrumentation. The sensitivity of DAS in the 10-1 to 100 Hz bandwidth combined with its operational capability on land and on the seafloor means that it not only provides a mechanism to track the change in frequency and amplitude of seismic signals over distance, but it can supplement recordings from conventional observatory-quality sensors in regions such as the ocean floor where station density is extremely sparse. However, two issues impede the systematic study of DAS to quantify its benefit: (1) the vast volumes of data generated by the system makes it difficult to telemeter and, once at a datacenter, analyze efficiently and (2) the lack of consistently compiled metadata inhibits the comparison of correlated signals across geographically separated fibers. Both issues need to be addressed to provide calibrated and quality-controlled DAS data sets suitable for downstream ingestion into event detection techniques such as template matching and machine learning algorithms. We show our progress with respect to the second research question (i.e., metadata standardization, Lai et al., 2023) across the 32 data sets collected for the 2023 Global DAS project and show how this enables comparison of DAS data across networks. We build off pioneering DAS time-series data workflows (Ni et al., 2023) and discuss how cloud computing technologies can be leveraged for DAS data storage and seismic event monitoring.

Session: Advancing Seismology with Distributed Fiber Optic Sensing [Poster Session]

Type: Poster

Date: 5/3/2024

Presentation Time: 08:00 AM (local time)

Presenting Author: Marlon

Student Presenter: No

Invited Presentation: 

Authors