Seismic signal enhancement through statistical (Wiener) approach

Author(s):  
R.T.B. Naik ◽  
D. Srinagesh ◽  
R.V. Raghavan ◽  
H.V.S. Satyanarayana ◽  
D. Shashidhar
2020 ◽  
Vol 68 (9) ◽  
pp. 2783-2807
Author(s):  
Min Bai ◽  
Guangtan Huang ◽  
Hang Wang ◽  
Yangkang Chen

Geophysics ◽  
1964 ◽  
Vol 29 (5) ◽  
pp. 664-671 ◽  
Author(s):  
Michael Shimshoni ◽  
Stewart W. Smith

The time‐averaged cross‐product of vertical and radial components of ground motion is multiplied by the original signal producing a function of ground motion in which rectilinearly polarized motion is enhanced. This provides some separation of seismic signals from noise when both occupy the same frequency and velocity bands. The vertical and radial motion is decomposed into its Fourier components, and the parameters of an equivalent ellipse are computed at each instant of time. The eccentricity, major axis, and angle of inclination of the ellipse provide criteria for identifying P and SV waves of different velocities.


Author(s):  
Maxim I. Protasov ◽  
◽  
Dmitry A. Neklyudov ◽  
Alexandr A. Meretskiy ◽  
◽  
...  

The paper presents the results of testing two procedures: signal enhancement by local coherent summation of the seismic data and object–oriented migration along Gaussian beams. Both of these procedures provide extraction and accumulation of a useful seismic signal (primarily reflected waves). In the first case, this process is implemented directly on the seismic data, while in the migration procedure the useful signal is accumulated due to the properties of Gaussian beams. The procedures tested on the 2D real seismic data obtained in the north of the Krasnoyarsk Territory.


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