Bandwidth enhancement: Inverse Q filtering or time-varying Wiener deconvolution?
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| Title: | Bandwidth enhancement: Inverse Q filtering or time-varying Wiener deconvolution? |
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| Authors: | van der Baan, Mirko1 Mirko.vanderBaan@ualberta.ca |
| Source: | Geophysics. Jul/Aug2012, Vol. 77 Issue 4, pV133-V142. 10p. |
| Subjects: | Deconvolution in seismic reflection, Seismic reflection method data processing, Dispersion (Chemistry), Attenuation (Physics), Bandwidths, Estimation theory |
| Abstract: | Dispersion and attenuation corrections can improve the resolution of seismic data. This significantly facilitates interpretation. In principle, inverse Q filtering and the time-varying Wiener deconvolution can achieve this. Inverse Q filtering is a deterministic process that requires knowledge of the quality factor Q, 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 Q filtering is an inherently stable method that is robust in the presence of noise. Attenuation corrections via amplitude-only inverse Q 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 Q filtering, followed by zero-phase time-varying Wiener deconvolution. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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