2009
DOI: 10.1190/1.3249773
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How thin is a thin bed? An alternative perspective

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Cited by 27 publications
(6 citation statements)
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“…The seismic signal was sampled every 2 ms prior to the application of an anti-aliasing filter, giving a vertical resolution of at least 2 ms for λ/4. The calculated vertical resolution is a conservative value, as resolution reaches values of λ/8 or λ/32 in thin beds (Zeng, 2009). The data were zero-phased migrated with a bin spacing of 12.5 × 12.5 m. The processing sequence of the data included resampling, spherical divergence corrections, and zero-phase conversions undertaken prior to stacking, 3-D prestack time migra tion using the Stolt algorithm, and one-pass 3-D migration.…”
Section: Methodsmentioning
confidence: 99%
“…The seismic signal was sampled every 2 ms prior to the application of an anti-aliasing filter, giving a vertical resolution of at least 2 ms for λ/4. The calculated vertical resolution is a conservative value, as resolution reaches values of λ/8 or λ/32 in thin beds (Zeng, 2009). The data were zero-phased migrated with a bin spacing of 12.5 × 12.5 m. The processing sequence of the data included resampling, spherical divergence corrections, and zero-phase conversions undertaken prior to stacking, 3-D prestack time migra tion using the Stolt algorithm, and one-pass 3-D migration.…”
Section: Methodsmentioning
confidence: 99%
“…The vertical resolution depends on the velocity of EM waves and the frequency of the antennae used. Following the λ/4 criterion (Widess 1973;Jol 1995;Zeng 2009), it varies from 70 to 5 cm for frequencies of 50-500 MHz and velocities of 0.1-0.14 m ns −1 . In general, features such as sedimentary structures, lithological boundaries, fractures and/or faults are clearly visible with GPR (Gross et al 2004;Neal 2004;Deparis et al 2007;McClymont et al 2010), even when these features differ only by small changes in the nature, size, shape, orientation and packing of grains (Guillemoteau et al 2012).…”
Section: Methodology Of Gpr Acquisitionmentioning
confidence: 99%
“…However, these advantages rest on the assumption that the reflection comes from a single interface, or that the seismic data have enough resolution to resolve individual reflections from the top and bottom of a bed (Zeng and Backus, 2005a). For a thin bed with unresolved top and bottom in its composite response, Zeng andBackus (2005a, 2005b) analyze the phase effects on the interference pattern and conclude that a 90°-phase wavelet is more desirable for the identification of thin beds.…”
Section: Zero-crossing Timesmentioning
confidence: 98%
“…Seismic data interpreters have to resort to the art of geologic interpretation based on their knowledge of the basic principles of geology and seismic attributes and their experience and intuition (Chopra et al, 2006). Zeng (2009) proposes a new resolution definition, bed resolution, which emphasizes thin-bed identification rather than interface separation. It is easier to identify a thin bed via inspection of attribute slices than to resolve it via a seismic section.…”
Section: Introductionmentioning
confidence: 99%