Some new findings in high-frequency surface-wave methods

2015 ◽  
Author(s):  
Jianghai Xia ◽  
Lingli Gao ◽  
Yudi Pan
Keyword(s):  
Surface Wave ◽  
High Frequency ◽  
New Findings ◽  
Wave Methods

Recent advances in high-frequency surface-wave methods

2015 ◽  
Author(s):  
Jianghai Xia ◽  
Lingli Gao ◽  
Yudi Pan ◽  
Chao Shen
Keyword(s):  
Surface Wave ◽  
High Frequency ◽  
Recent Advances ◽  
Wave Methods

Improving horizontal resolution of high-frequency surface-wave methods using travel-time tomography

2016 ◽  
Vol 126 ◽  
pp. 42-51 ◽  
Author(s):  
Xiaofei Yin ◽  
Hongrui Xu ◽  
Limin Wang ◽  
Yue Hu ◽  
Chao Shen ◽  
...  
Keyword(s):  
Surface Wave ◽  
Travel Time ◽  
High Frequency ◽  
Horizontal Resolution ◽  
Travel Time Tomography ◽  
Wave Methods

Imaging in Karst Terrain Using Electrical Resistivity Tomography and Surface Wave Methods

2012 ◽  
Author(s):  
Evgeniy Torgashov ◽  
Neil Anderson ◽  
Mengxing Li ◽  
Ahmed Ismail ◽  
Adel Elkrry
Keyword(s):  
Electrical Resistivity ◽  
Surface Wave ◽  
Electrical Resistivity Tomography ◽  
Resistivity Tomography ◽  
Karst Terrain ◽  
Wave Methods

Tunnel detection at Yuma Proving Ground, Arizona, USA — Part 1: 2D full-waveform inversion experiment

Geophysics ◽  
2019 ◽  
Vol 84 (1) ◽  
pp. B95-B105 ◽  
Author(s):  
Yao Wang ◽  
Richard D. Miller ◽  
Shelby L. Peterie ◽  
Steven D. Sloan ◽  
Mark L. Moran ◽  
...  
Keyword(s):  
Surface Wave ◽  
Waveform Inversion ◽  
Velocity Profiles ◽  
Infinite Length ◽  
Full Waveform Inversion ◽  
S Wave ◽  
Near Surface ◽  
Tunnel Detection ◽  
Full Waveform ◽  
Wave Methods

We have applied time domain 2D full-waveform inversion (FWI) to detect a known 10 m deep wood-framed tunnel at Yuma Proving Ground, Arizona. The acquired seismic data consist of a series of 2D survey lines that are perpendicular to the long axis of the tunnel. With the use of an initial model estimated from surface wave methods, a void-detection-oriented FWI workflow was applied. A straightforward [Formula: see text] quotient masking method was used to reduce the inversion artifacts and improve confidence in identifying anomalies that possess a high [Formula: see text] ratio. Using near-surface FWI, [Formula: see text] and [Formula: see text] velocity profiles were obtained with void anomalies that are easily interpreted. The inverted velocity profiles depict the tunnel as a low-velocity anomaly at the correct location and depth. A comparison of the observed and simulated waveforms demonstrates the reliability of inverted models. Because the known tunnel has a uniform shape and for our purposes an infinite length, we apply 1D interpolation to the inverted [Formula: see text] profiles to generate a pseudo 3D (2.5D) volume. Based on this research, we conclude the following: (1) FWI is effective in near-surface tunnel detection when high resolution is necessary. (2) Surface-wave methods can provide accurate initial S-wave velocity [Formula: see text] models for near-surface 2D FWI.

Sign in / Sign up

Export Citation Format

Share Document