Multiple offset VSP and multiple component VSP data processing to improve structural definition

Author(s):  
E. del Pino ◽  
E. Ramirez
First Break ◽  
2020 ◽  
Vol 38 (6) ◽  
pp. 29-36
Author(s):  
G. Yu ◽  
J.L. Xiong ◽  
J.J. Wu ◽  
Y.Z. Chen ◽  
Y.S. Zhao

Geophysics ◽  
1995 ◽  
Vol 60 (2) ◽  
pp. 341-353 ◽  
Author(s):  
Xiao‐Gui Miao ◽  
Wooil M. Moon ◽  
B. Milkereit

A multioffset, three‐component vertical seismic profiling (VSP) experiment was carried out in the Sudbury Basin, Ontario, as a part of the LITHOPROBE Sudbury Transect. The main objectives were determination of the shallow velocity structure in the middle of the Sudbury Basin, development of an effective VSP data processing flow, correlation of the VSP survey results with the surface seismic reflection data, and demonstration of the usefulness of the VSP method in a crystalline rock environment. The VSP data processing steps included rotation of the horizontal component data, traveltime inversion for velocity analysis, Radon transform for wavefield separation, and preliminary analysis of shear‐wave data. After wavefield separation, the flattened upgoing wavefields for both P‐waves and S‐waves display consistent reflection events from three depth levels. The VSP-CDP transformed section and corridor stacked section correlate well with the high‐resolution surface reflection data. In addition to obtaining realistic velocity models for both P‐ and S‐waves through least‐square inversion and synthetic seismic modeling for the Chelmsford area, the VSP experiment provided an independent estimation for the reflector dip using three component hodogram analysis, which indicates that the dip of the contact between the Chelmsford and Onwatin formations, at an approximate depth of 380 m in the Chelmsford borehole, is approximately 10.5° southeast. This study demonstrates that multioffset, three‐component VSP experiments can provide important constraints and auxiliary information for shallow crustal seismic studies in crystalline terrain. Thus, the VSP technique bridges the gap between the surface seismic‐reflection technique and well‐log surveys.


2019 ◽  
Author(s):  
Dongjie Cheng ◽  
Xiaomin Zhao ◽  
Mark Willis ◽  
Ran Zhou ◽  
Minyu Zhang ◽  
...  
Keyword(s):  

2002 ◽  
Vol 28 (4) ◽  
pp. 501-511 ◽  
Author(s):  
K.S. Beaty ◽  
G. Perron ◽  
I. Kay ◽  
E. Adam
Keyword(s):  

2019 ◽  
Author(s):  
D. Cheng ◽  
X. Zhao ◽  
M. Willis ◽  
R. Zhou ◽  
D. Quinn

Geophysics ◽  
1997 ◽  
Vol 62 (4) ◽  
pp. 1059-1068 ◽  
Author(s):  
Chuanwen Sun ◽  
Philip D. Rabinowitz ◽  
Norman C. Griswold

The recursive‐approaching signal filter (RASF) is a newly developed filtering technique that combines many advantages of linear, nonlinear, and adaptive filters. It passes step functions without altering them and removes many types of noise, such as Gaussian and Laplacian distributed noise. When applied to VSP data processing, the RASF emphasizes those abrupt discontinuities that originate or terminate at discrete depth points and effectively accomplishes the separation of upgoing and downgoing wave modes. The RASF may be transformed into a desired filter by simply changing a parameter to achieve the maximum usefulness of VSP field data. In the tests with the synthetic VSP modeling data corrupted by white Gaussian noise and real VSP data, the RASF compares favorably to f-k velocity and median filtering methods in removing noise, preserving step functions, and computational simplicity.


Author(s):  
V. Ferentsi ◽  
A. Tabakov ◽  
L. Sevastyanov ◽  
E. Fursova ◽  
V. Eliseev
Keyword(s):  

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