Interpretation of first arrival travel times in seismic refraction work

1996 ◽  
Vol 147 (1) ◽  
pp. 181-194 ◽  
Author(s):  
Kalachand Sain ◽  
K. L. Kaila
Keyword(s):  
Seismic Refraction ◽  
Travel Times ◽  
First Arrival Travel Times ◽  
First Arrival

scholarly journals A Seismic Refraction Study of the Crust and Upper Mantle in the Vicinity of Bass Strait

1969 ◽  
Vol 22 (5) ◽  
pp. 573 ◽  
Author(s):  
R Underwood
Keyword(s):  
Crustal Structure ◽  
Upper Mantle ◽  
Seismic Refraction ◽  
Travel Times ◽  
Crust And Upper Mantle ◽  
Australian Institute ◽  
First Arrival Travel Times ◽  
First Arrival ◽  
Future Work

A reconnaissance seismic refraction study of the crust and upper mantle of Bass Strait and adjacent land was undertaken in 1966 under the sponsorship of the Geophysics Group of the Australian Institute of Physics. The shot locations and times, the station locations, distances, and first arrival travel times are presented. Analysis of these data is described; they indicate a P n velocity below 8 km sec-I. Time terms are less than expected and do not agree with previous work. Crustal thicknesses cannot be computed until studies of upper crustal structure are made. These, and several mantle refraction studies, are suggested for future work.

Combined inversion of first‐arrival travel times and reflection travel times

2019 ◽  
Vol 67 (7) ◽  
pp. 1764-1777
Author(s):  
Chongjin Zhao ◽  
Luolei Zhang ◽  
Peng Yu ◽  
Yuzhu Liu ◽  
Shaokong Feng
Keyword(s):  
Travel Times ◽  
First Arrival Travel Times ◽  
First Arrival

scholarly journals First-Arrival Travel Times Picking through Sliding Windows and Fuzzy C-Means

Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 221 ◽  
Author(s):  
Lei Gao ◽  
Zhen-yun Jiang ◽  
Fan Min
Keyword(s):  
Seismic Data ◽  
Seismic Data Processing ◽  
Travel Times ◽  
Swarm Optimization ◽  
Sliding Windows ◽  
Fuzzy C Means ◽  
Second Stage ◽  
First Arrival Travel Times ◽  
First Arrival ◽  
Two Stages

First-arrival picking is a critical step in seismic data processing. This paper proposes the first-arrival picking through sliding windows and fuzzy c-means (FPSF) algorithm with two stages. The first stage detects a range using sliding windows on vertical and horizontal directions. The second stage obtains the first-arrival travel times from the range using fuzzy c-means coupled with particle swarm optimization. Results on both noisy and preprocessed field data show that the FPSF algorithm is more accurate than classical methods.

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