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• W2043260516 endingPage "V142" @default.
• W2043260516 startingPage "V133" @default.
• W2043260516 abstract "Dispersion and attenuation corrections can improve the resolution of seismic data. This significantly facilitates interpretation. In principle, inverse [Formula: see text] filtering and the time-varying Wiener deconvolution can achieve this. Inverse [Formula: see text] filtering is a deterministic process that requires knowledge of the quality factor [Formula: see text], whereas the time-varying Wiener deconvolution is a statistical approach based on the estimation of the nonstationary propagating wavelet. Dispersion corrections based on phase-only inverse [Formula: see text] filtering is an inherently stable method that is robust in the presence of noise. Attenuation corrections via amplitude-only inverse [Formula: see text] filtering, on the other hand, is likely to lead to noise amplification as well as bandwidth enhancement. Dispersion corrections via the time-varying Wiener deconvolution are challenging because these require estimation of a nonstationary, frequency-dependent, nonminimum-phase wavelet. Fortunately, attenuation corrections via the Wiener deconvolution need only estimation of a zero-phase time-varying wavelet for which robust methods exist. The most promising procedure for combined dispersion and attenuation correction is thus comprised of first applying dispersion corrections using phase-only inverse [Formula: see text] filtering, followed by zero-phase time-varying Wiener deconvolution." @default.
• W2043260516 created "2016-06-24" @default.
• W2043260516 creator A5063768705 @default.
• W2043260516 date "2012-07-01" @default.
• W2043260516 modified "2023-09-26" @default.
• W2043260516 title "Bandwidth enhancement: Inverse Q filtering or time-varying Wiener deconvolution?" @default.
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• W2043260516 doi "https://doi.org/10.1190/geo2011-0500.1" @default.
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