Comparison of Performance of Heuristic Search Methods for Phase Velocity Inversion in Shallow Surface Wave Method

2005 ◽  
Vol 10 (2) ◽  
pp. 163-173 ◽  
Author(s):  
H. Yamanaka
Keyword(s):  
Surface Wave ◽  
Phase Velocity ◽  
Heuristic Search ◽  
Wave Method ◽  
Search Methods ◽  
Velocity Inversion ◽  
Heuristic Search Methods ◽  
Surface Wave Method

THE SURFACE WAVE METHOD USED FOR DETECTION OF DANGEROUS FLUIDS CONTAINED IN ISOLATED PLASTIC AND GLASS VESSELS

2016 ◽  
Vol 75 (18) ◽  
pp. 1695-1703 ◽  
Author(s):  
Alexey A. Vertiy ◽  
Yurii Konstantinovich Sirenko ◽  
S. Sautbekov ◽  
As. Sabyrov ◽  
K. Balabekov ◽  
...  
Keyword(s):  
Surface Wave ◽  
Wave Method ◽  
Surface Wave Method

Ground roll: A potential tool for constraining shallow shear‐wave structure

Geophysics ◽  
1993 ◽  
Vol 58 (5) ◽  
pp. 713-719 ◽  
Author(s):  
Ghassan I. Al‐Eqabi ◽  
Robert B. Herrmann
Keyword(s):  
Surface Wave ◽  
Phase Velocity ◽  
Wave Velocity ◽  
Wave Structure ◽  
S Wave ◽  
Data Set ◽  
Velocity Inversion ◽  
Ground Roll ◽  
Lateral Variations ◽  
Wave Arrival

The objective of this study is to demonstrate that a laterally varying shallow S‐wave structure, derived from the dispersion of the ground roll, can explain observed lateral variations in the direct S‐wave arrival. The data set consists of multichannel seismic refraction data from a USGS-GSC survey in the state of Maine and the province of Quebec. These data exhibit significant lateral changes in the moveout of the ground‐roll as well as the S‐wave first arrivals. A sequence of surface‐wave processing steps are used to obtain a final laterally varying S‐wave velocity model. These steps include visual examination of the data, stacking, waveform inversion of selected traces, phase velocity adjustment by crosscorrelation, and phase velocity inversion. These models are used to predict the S‐wave first arrivals by using two‐dimensional (2D) ray tracing techniques. Observed and calculated S‐wave arrivals match well over 30 km long data paths, where lateral variations in the S‐wave velocity in the upper 1–2 km are as much as ±8 percent. The modeled correlation between the lateral variations in the ground‐roll and S‐wave arrival demonstrates that a laterally varying structure can be constrained by using surface‐wave data. The application of this technique to data from shorter spreads and shallower depths is discussed.

Application Of Surface-Wave Method To The Evaluation Of Local Site Effect Of 2007 Noto Earthquake

2008 ◽  
Author(s):  
Koichi Hayashi ◽  
Masahito Tamura ◽  
Tsutomu Hirade ◽  
Kosh Nath Adhikari ◽  
Yu Shizhou
Keyword(s):  
Surface Wave ◽  
Site Effect ◽  
Wave Method ◽  
Local Site Effect ◽  
Local Site ◽  
Surface Wave Method

Joint Analysis Of A Surface-Wave Method And A Micro-Gravity Survey

2004 ◽  
Author(s):  
Koichi Hayashi ◽  
Akinori Okada ◽  
Toshifumi Matsuoka ◽  
Hideki Hatakeyama
Keyword(s):  
Surface Wave ◽  
Gravity Survey ◽  
Joint Analysis ◽  
Wave Method ◽  
Surface Wave Method ◽  
Micro Gravity
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