Time‐Lapse Imaging of Coseismic Ruptures for the 2019 Ridgecrest Earthquakes Using Multiazimuth Backprojection With Regional Seismic Data and a 3‐D Crustal Velocity Model

2020 ◽  
Vol 47 (9) ◽  
Author(s):  
Jidong Yang ◽  
Hejun Zhu ◽  
David Lumley
Keyword(s):  
Seismic Data ◽  
Time Lapse ◽  
Velocity Model ◽  
Crustal Velocity ◽  
Crustal Velocity Model ◽  
Time Lapse Imaging

scholarly journals NAD83v70VG: a new national crustal velocity model for Canada

2020 ◽  
Author(s):  
C M I Robin ◽  
M Craymer ◽  
R Ferland ◽  
T S James ◽  
E Lapelle ◽  
...  
Keyword(s):  
Velocity Model ◽  
Crustal Velocity ◽  
Crustal Velocity Model

scholarly journals A tomographic crustal velocity model of the central Fennoscandian Shield

2007 ◽  
Vol 168 (3) ◽  
pp. 1210-1226 ◽  
Author(s):  
Tellervo Hyvönen ◽  
Timo Tiira ◽  
Annakaisa Korja ◽  
Pekka Heikkinen ◽  
Elisa Rautioaho ◽  
...  
Keyword(s):  
Velocity Model ◽  
Fennoscandian Shield ◽  
Crustal Velocity ◽  
Crustal Velocity Model

scholarly journals Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry

Geophysics ◽  
2013 ◽  
Vol 78 (2) ◽  
pp. R47-R58 ◽  
Author(s):  
Andrey H. Shabelansky ◽  
Alison Malcolm ◽  
Michael Fehler
Keyword(s):  
Seismic Data ◽  
Signal To Noise Ratio ◽  
Time Lapse ◽  
Data Driven ◽  
Target Region ◽  
Data Driven Approach ◽  
Cost Of Time ◽  
The Cost ◽  
Time Lapse Imaging ◽  
Source Geometry

The goal of time-lapse imaging is to identify and characterize regions in which the earth’s material properties have changed between surveys. This requires an effective deployment of sources and receivers to monitor the region where changes are anticipated. Because each source adds to the acquisition cost, we should ensure that only those sources that best image the target are collected and used to form an image of the target region. This study presents a data-driven approach that estimates the sensitivity of target-oriented imaging to source geometry. The approach is based on the propagation of the recorded baseline seismic data backward in time through the entire medium and coupling it with the estimated perturbation in the subsurface. We test this approach using synthetic surface seismic and time-lapse VSP field-data from the SACROC field. These tests show that the use of the baseline seismic data enhances the robustness of the sensitivity estimate to errors, and can be used to select data that best image a target zone, thus increasing the signal-to-noise ratio of the image of the target region and reducing the cost of time-lapse acquisition, processing, and imaging.

A Crustal Velocity Model for Locating Earthquakes in Monterey Bay, California

2001 ◽  
Vol 91 (2) ◽  
pp. 405-405
Author(s):  
M. L. Begnaud ◽  
K. C. McNally ◽  
D. S. Stakes ◽  
V. A. Gallardo
Keyword(s):  
Velocity Model ◽  
Monterey Bay ◽  
Crustal Velocity ◽  
Crustal Velocity Model

A preliminary one-dimensional crustal velocity model for Himachal Pradesh, India

2015 ◽  
Vol 20 (1) ◽  
pp. 305-318 ◽  
Author(s):  
Mahesh Prasad Parija ◽  
Sushil Kumar ◽  
Shubhasmita Biswal ◽  
Narendra Kumar ◽  
Saurabh Kumar Mishra
Keyword(s):  
Velocity Model ◽  
Himachal Pradesh ◽  
One Dimensional ◽  
Crustal Velocity ◽  
Crustal Velocity Model
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