Tunnel detection within the upper 30 m is important to engineering, public safety, and homeland security. However, accurately performing this task with high-resolution results is challenging due to subsurface heterogeneity and decreasing tunnel size. The prosperity of the Full-waveform Inversion (FWI) method in recent years has enlightened a new path for near-surface anomaly imaging. With an initial model provided by the conventional surface wave methods, FWI has produced accurate and easily interpretable 2D cross sections of the geological-physical properties. For this tunnel detection research, multi-component seismic data were acquired at the Yuma Proving Ground in Arizona. A 2D FWI processing workflow was developed to obtain velocity (Vp and Vs) profiles of a known tunnel. As a result, a 2.5D shear-wave velocity volume was produced to describe the tunnel in detail, regarding the detected location and shape.
Presentation Date: Wednesday, September 27, 2017
Start Time: 4:45 PM
Location: 370C
Presentation Type: ORAL
