Taking the advantage of CVS (Chaotic Vibrator System) sensitivity of large-scale periodic phase-state response to quasi-periodic or periodic signals, a series of numerical experiments were made to understand the ability of CVS to detect weak effective seismic signals in the common-shot seismic record distorted by strong stochastic noise. The results demonstrate that the large-scale periodic phase-states of CVS are correlated with the signal composition of the quasi-periodic wavelet sequence constructing from horizontal moveout of seismic events, noise strength and the noise distortion degree to signal. For the same kind of events, the higher the noise distortion degree is, the lower the detectable SNR can be reached by CVS. For seismic data with the same noise distortion degree, the closer the scanning seismic velocity (the trial moveout velocity) approaches to the accurate velocity, the higher the detectable SNR can be reached by CVS. Moreover, the truncating scanning velocities form an asymmetric belt, which indirectly makes CVS achieve a large-scale periodic phase-state and then the ratio of wavelet distortion coefficients in events can be a biggish variable scope.
[1]
Baojun Yang,et al.
Chaotic system for the detection of periodic signals under the background of strong noise
,
2003
.
[2]
S. Chevrot.
Multichannel analysis of shear wave splitting
,
2000
.
[3]
Baojun Yang,et al.
An Algorithm of Chaotic Vibrator to Detect Weak Events in Seismic Prospecting Records
,
2005
.
[4]
Yuriy Tyapkin,et al.
Optimum pilot sweep
,
2003
.
[5]
Prestack Kirchhoff depth migration of shallow seismic data
,
1998
.
[6]
Jerry M. Harris,et al.
Multi-component wavefield simulation in viscous extensively dilatancy anisotropic media
,
1999
.