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IMPULSE RESPONSE MODELS FOR NOISY VIBROSEIS † DATA *
Author(s) -
LINES L.R.,
CLAYTON R.W.,
ULRYCH T.J.
Publication year - 1980
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 - 10.1111/j.1365-2478.1980.tb01210.x
Subject(s) - seismic vibrator , deconvolution , wavelet , impulse response , blind deconvolution , computer science , algorithm , noise (video) , geology , mathematics , seismology , artificial intelligence , mathematical analysis , image (mathematics)
A bstract A new method of Vibroseis deconvolution has been recently proposed by the authors. This discussion describes the effects of noise on the application of this method. The initial deconvolution step involves estimating the spectrum of the Vibroseis wavelet by homomorphic filtering. It is shown that noise causes problems with phase estimation. Hence, the Vibroseis wavelet is assumed to be zero phase. Examples demonstrate that zero phase cepstral filtering is a robust wavelet estimation approach for noisy data. The second step of the deconvolution method forms an impulse response model by a spectral extension method. Although this step can improve the resolution of seismic arrivals, it must be applied with caution in view of the deleterious effects of noise.