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Published September 1977 | public
Journal Article

A new approach to Vibroseis deconvolution

Abstract

A method is proposed to obviate the shortcomings of conventional deconvolution approaches applied to vibroseis data. The vibroseis wavelet reduces the time domain resolution of the earth's impulse response by restricting its passband. The spectrum of the wavelet is assumed to be a "low quefrency" phenomenon, and hence it can be estimated by low cut cepstral filtering. The wavelet's amplitude spectrum can then be removed by spectral division. By using an approach which is consistent with the principle of maximum entropy, the undetermined portions of the seismogram's Fourier transform can be filled in by autoregressive prediction. The process of initially deconvolving in a restricted passband reduces the enhancement of noise contaminated parts of the spectrum, and the spectral extension scheme increases the time domain resolution of the process.

Additional Information

© 1977 John Wiley & Sons, Inc. Article first published online: 27 Apr. 2006. Paper presented at the CSEG National Convention, May 1976, Calgary, Alta., Canada. We would like to thank Tad Ulrych of the University of British Columbia, Ralph Wiggins of Western Geophysical, and Sven Treitel of Amoco Research for stimulating discussions on vibroseis wavelets and vibroseis deconvolution. We are also grateful to George Brinkworth, Stan Jones, and Bill Davitt of Chevron Standard for their assistance in supplying data and plotting facilities for this project. This research was financially supported by a National Research Council of Canada grant (#1804) to Dr. T. Ulrych.

Additional details

Created:
August 19, 2023
Modified:
October 19, 2023