A Deconvolution Approach Using Statistical Upgoing Waves of Zero Offset VSP

ESun, X.; Le, Yun; Gao, Jun; Lin, Jin; Sun, D.

doi:10.3997/2214-4609.201400216

Cited by 1 publication

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“…Ross and Shah (1987) suggest the level-by-level deconvolution based on the entire downgoing wave train. Sun et al (2009) suggest the level-by-level deconvolution based on the entire upgoing wavetrain.…”

Section: Introductionmentioning

confidence: 99%

Application of Gabor deconvolution to zero-offset VSP data

Ahadi

Riahi

2013

GEOPHYSICS

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The aim of designing deconvolution operators is to extract the reflectivity series from seismic sections. Due to the noise, source signature inconsistency, reflection/transmission, anelastic attenuation, and multiples, the amplitude of a propagating seismic wave varies as a function of time. Because of these factors the frequency spectra of seismic signals narrow with time. Recognition of reflectors using upgoing waves is one of the notable properties of vertical seismic profiling (VSP) data. Designing a deconvolution operator for VSP data based on downgoing waves is considered to be one of the most ideal deconvolution methods intended to produce high-resolution images in routine processing of zero-offset VSP data. For such an analysis, the Gabor deconvolution operator has been designed using the downgoing wavefield and then was applied to the upgoing wavefield, and hyperbolic smoothing was used to estimate the wavelet. The final result of applying the deconvolution operator is a VSP section with superior resolution. To compare this method with customary methods of deconvolution, the Wiener deconvolution was applied to the synthetic and real data, and the results were compared with those of the Gabor deconvolution.

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Section: Introductionmentioning

confidence: 99%