Litcius/Paper detail

Distributed Acoustic Sensing Using a Large-Volume Airgun Source and Internet Fiber in an Urban Area

Zhenghong Song, Xiangfang Zeng, Baoshan Wang, Jun Yang, Xiaobin Li, Herbert F. Wang

2021Seismological Research Letters21 citationsDOI

Abstract

Abstract Seismological methods have been widely used to construct subsurface images in urban areas, for both seismological and engineering purposes. However, it remains a challenge to continuously operate a dense array in cities for high-resolution 4D imaging. In this study, we utilized distributed acoustic sensing (DAS) and a 5.2 km long, L-shaped, telecom, fiber-optic cable to record the wavefield from a highly repeatable airgun source located 7–10 km away. No P-wave signal was observed, but the S-wave signal emerged clearly on the shot-stacked traces, and the arrivals were consistent with collocated geophone traces. Because the signal quality is significantly affected by cable coupling and local noise, three methods can be employed to improve signal-to-noise ratio: (1) stacking contiguous, colinear channels to increase effective gauge length, (2) connecting multiple fibers within a single conduit and stacking collocated channels, and (3) using engineered fiber. In conclusion, the combination of DAS, using internet fiber and an airgun source with proven efficient signal enhancement methods, can provide frequent snapshots of the near surface across an urban area.

Topics & Concepts

GeophoneSIGNAL (programming language)Distributed acoustic sensingFiberStackingNoise (video)AcousticsGeologyCoupling (piping)Optical fiberSeismologyComputer scienceRemote sensingMaterials scienceTelecommunicationsFiber optic sensorPhysicsImage (mathematics)Artificial intelligenceNuclear magnetic resonanceMetallurgyComposite materialProgramming languageSeismic Waves and AnalysisSeismic Imaging and Inversion TechniquesAdvanced Fiber Optic Sensors