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WITHDRAWN Subsurface Source Characterization Using Distributed Acoustic Sensing

Description: 

WITHDRAWN Accurate characterization of underground seismic energy sources is crucial for understanding seismic wave propogation in subsurface tunnels and mitigating the impact of anthropogenic noise on desired signals. In this study, we utilize a subsurface distributed acoustic sensing (DAS) array to monitor and characterize various underground facility operations, including drilling, ventilation fans, conveyor systems, and personnel movements. Traditional seismic detection and geolocation methods are optimized for high-energy energetic impulsive signals (e.g., blasts and earthquakes) under stationary noise conditions. However, machine operations typically generate continuous, low-amplitude, spectrally discrete signals, posing unique challenges. We demonstrate a technique that leverages changes in specific regions of the power spectral density (PSD) to detect and characterzie anthropogenic activity in DAS data. This PSD-based approach effectively identifies events with distinct frequency signatures, even when signals overlap temporally or exhibit dynamic frequency content. Given the inherit sensitivity of DAS to axial strain, we also analyze amplitude attenuation with distance to assess wave propogation effects from anthopogenic activities. Leveraging the high spatial resolution and 3D geometry of the DAS array provides valuable insights into source propagation dynamics in the subsurface. Understanding the frequency characteristics and amplitude attenuation of anthopogneic sources enhances the ability to interpret source propogation effects, enabling better isolation of signals in complex underground environments.

Session: Fiber-optic Sensing Applications in Seismology [Poster]

Type: Poster

Date: 4/15/2025

Presentation Time: 08:00 AM (local time)

Presenting Author: Erin

Student Presenter: No

Invited Presentation: 

Poster Number: 53

Authors