2011
DOI: 10.3997/2214-4609.20144670
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Robust Surface-Consistent Deconvolution: Creating Inversion Ready Land Data

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Cited by 10 publications
(2 citation statements)
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“…The legacy near surface model based on an intercept-time method proved to provide the most stable medium to long wavelength solution, followed by iterative residual statics. The controlled amplitude and phase processing workflow included model based wavelet processing (MBWP) (Hart, Hootman, and Jackson, 2001), inverse Q filtering, and robust surface consistent deconvolution (Hootman, 2011) that utilized an advanced simultaneous Jacobi decomposition with an over-relaxation algorithm. This technique combines robust surfaceconsistent deconvolution, surface-consistent amplitude correction, and noise attenuation in one pass to provide relative amplitude preserved data.…”
Section: Seismic Data Processingmentioning
confidence: 99%
“…The legacy near surface model based on an intercept-time method proved to provide the most stable medium to long wavelength solution, followed by iterative residual statics. The controlled amplitude and phase processing workflow included model based wavelet processing (MBWP) (Hart, Hootman, and Jackson, 2001), inverse Q filtering, and robust surface consistent deconvolution (Hootman, 2011) that utilized an advanced simultaneous Jacobi decomposition with an over-relaxation algorithm. This technique combines robust surfaceconsistent deconvolution, surface-consistent amplitude correction, and noise attenuation in one pass to provide relative amplitude preserved data.…”
Section: Seismic Data Processingmentioning
confidence: 99%
“…Such methods use simple solvers such as a least-square or a rough approximation scheme, which could be easily biased by high-amplitude surface-inconsistent noise and results in rather poor decomposition. The robust surface consistent deconvolution (RSCD) methodology is applied to address the problem of a biased operator based on a statistically robust L1/L2 norm constrained solver (Hootman, 2011). This robust solver can detect the surface-inconsistent outlier spectra during the decomposition step and then lower the weights of those traces so that they have fewer effects on the decomposed spectra.…”
Section: Energy Exploration and Exploitation · Volume 33 · Number 3 · 2mentioning
confidence: 99%