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Vibroseis deconvolution: a comparison of cross‐correlation and frequency‐domain sweep deconvolution
Author(s) -
Brittle K.F.,
Lines L.R.,
Dey A.K.
Publication year - 2001
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1046/j.1365-2478.2001.00291.x
Subject(s) - seismic vibrator , deconvolution , wavelet , blind deconvolution , cross correlation , frequency domain , signal processing , computer science , geology , algorithm , mathematics , telecommunications , seismology , statistics , artificial intelligence , computer vision , radar
Ideally, traditional vibroseis processing produces a band‐limited zero‐phase Klauder wavelet through cross‐correlation of the sweep with the recorded signal. An alternative wavelet processing method involves deconvolving the sweep from the recorded vibroseis trace. This deconvolution can be achieved through frequency‐domain division. We compare and contrast the advantages and disadvantages of sweep deconvolution versus cross‐correlation on synthetic and real data.