Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping
R. Herrera, and M. van der Baan. (2012)cite arxiv:1205.3752Comment: 4 pages, Conference: Recovery - 2011 CSPG CSEG CWLS Convention.
Abstract
Surface-consistent deconvolution is a standard processing technique in land
data to uniformize the wavelet across all sources and receivers. The required
wavelet estimation step is generally done in the homomorphic domain since this
is a convenient way to separate the phase and the amplitude spectrum in a
linear fashion. Unfortunately all surface-consistent deconvolutions make a
minimum-phase assumption which is likely to be sub-optimal. Recent developments
in statistical wavelet estimation demonstrate that nonminimum wavelets can be
estimated directly from seismic data, thus offering promise to create a
nonminimum phase surface-consistent deconvolution approach. Unfortunately the
major impediment turns out to be phase unwrapping. In this paper we review
several existing phase unwrapping techniques and discuss their advantages and
inconveniences.
Description
Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping
%0 Generic
%1 herrera2012revisiting
%A Herrera, Roberto H.
%A van der Baan, Mirko
%D 2012
%K estimation homomorphic phase revisiting wavelet
%T Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping
%U http://arxiv.org/abs/1205.3752
%X Surface-consistent deconvolution is a standard processing technique in land
data to uniformize the wavelet across all sources and receivers. The required
wavelet estimation step is generally done in the homomorphic domain since this
is a convenient way to separate the phase and the amplitude spectrum in a
linear fashion. Unfortunately all surface-consistent deconvolutions make a
minimum-phase assumption which is likely to be sub-optimal. Recent developments
in statistical wavelet estimation demonstrate that nonminimum wavelets can be
estimated directly from seismic data, thus offering promise to create a
nonminimum phase surface-consistent deconvolution approach. Unfortunately the
major impediment turns out to be phase unwrapping. In this paper we review
several existing phase unwrapping techniques and discuss their advantages and
inconveniences.
@misc{herrera2012revisiting,
abstract = {Surface-consistent deconvolution is a standard processing technique in land
data to uniformize the wavelet across all sources and receivers. The required
wavelet estimation step is generally done in the homomorphic domain since this
is a convenient way to separate the phase and the amplitude spectrum in a
linear fashion. Unfortunately all surface-consistent deconvolutions make a
minimum-phase assumption which is likely to be sub-optimal. Recent developments
in statistical wavelet estimation demonstrate that nonminimum wavelets can be
estimated directly from seismic data, thus offering promise to create a
nonminimum phase surface-consistent deconvolution approach. Unfortunately the
major impediment turns out to be phase unwrapping. In this paper we review
several existing phase unwrapping techniques and discuss their advantages and
inconveniences.},
added-at = {2012-10-26T08:12:48.000+0200},
author = {Herrera, Roberto H. and van der Baan, Mirko},
biburl = {https://www.bibsonomy.org/bibtex/2cd2b49bb32526636ef139f1f6324aae0/hentronix},
description = {Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping},
interhash = {fde44797e82ebcf9a9e087b37f19bc34},
intrahash = {cd2b49bb32526636ef139f1f6324aae0},
keywords = {estimation homomorphic phase revisiting wavelet},
note = {cite arxiv:1205.3752Comment: 4 pages, Conference: Recovery - 2011 CSPG CSEG CWLS Convention},
timestamp = {2012-10-26T08:12:48.000+0200},
title = {Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping},
url = {http://arxiv.org/abs/1205.3752},
year = 2012
}