Coherency enhancement on 3D seismic data by dip detection and dip selection

Gülünay, Necati; Holden, Julian; Connor, J.M. O

doi:10.1190/1.2793012

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…As GPR profiles have a finite length, however, and consist of discretely sampled data, there are truncation effects in the τ– p domain. In practice, a dipping linear reflector does not map onto a point, but causes horizontal and slanted smearing (Gulunay et al ., ). Furthermore, there are aliasing artefacts when spatial sampling is coarser than the criterion set out above in the section on transect spacing (Yilmaz and Taner, ).…”

Section: Three‐dimensional Migration Of Spatially Aliased Datamentioning

confidence: 97%

The Impact of Spatial Sampling and Migration on the Interpretation of Complex Archaeological Ground‐penetrating Radar Data

Verdonck

Taelman

Vermeulen

et al. 2015

Archaeological Prospection

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In this paper, the impact of spatial sample density and three-dimensional migration processing on the interpretation of archaeological ground-penetrating radar (GPR) data is assessed. First, the question of how to determine the sample interval required to take full advantage of the spatial resolution capabilities of GPR without oversampling is addressed. To this end, we transform a test profile into the frequency-wavenumber (f-k) domain and estimate the required sample interval from the wavenumber values. For the presented data set, collected at the Roman town Ammaia (Portugal), this resulted in a transect spacing approximately three times the distance prescribed by the λ min /4 criterion (where λ min is the minimum observed wavelength). Second, the effect of three-dimensional migration is assessed. The data set, sampled as prescribed by the analysis of the f-k plot, is migrated with two-and three-dimensional phase-shift algorithms, and the migrated results are compared with non-migrated data. It is shown that certain subtle features are better resolved by three-dimensional migration. Third, it is investigated whether three-dimensional migration following the application of an interpolation algorithm such as Delaunay triangulation or interpolation based on τ-p transform, can further relax spatial sampling requirements. For the GPR data shown in this article, it is demonstrated that interpolation and three-dimensional migration of slightly aliased data, collected with a transect spacing equal to five times the outcome of the λ min /4 criterion, still allow a faithful reconstruction of the original, non-aliased time-slices. Figure 5. Energy time-slices from between 31 and 32 ns, showing details from areas 1A and 1B, surveyed with a 0.05 m × 0.05 m grid spacing in east west and north south directions, respectively: (a and b) data after three-dimensional phase-shift migration; (c and d) data after two-dimensional phase-shift migration in in-line direction; (e and f) Unmigrated data. The large arrows show the direction of the survey lines. The numbers are explained in the text.

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Section: Three‐dimensional Migration Of Spatially Aliased Datamentioning

confidence: 97%

The Impact of Spatial Sampling and Migration on the Interpretation of Complex Archaeological Ground‐penetrating Radar Data

Verdonck

Taelman

Vermeulen

et al. 2015

Archaeological Prospection

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“…For example, Dalley et al (1989), Marfurt and Kirlin (2000), Marfurt (2006), and Perez and Marfurt (2008), respectively, conducted in-depth research on the estimation of apparent dips and, at the same time, provided a measure for the magnitude of changes in reflector dip and azimuth across a discontinuity. Perona et al(1990), Bahorich and Farmer (1995), Luo et al(1996), Gerstzenkorn andMarfurt (1999), Marfurt and Kirlin (2000), AlDossary and Marfurt (2004), Lu et al (2005), AlDossary and Marfurt (2006), and Gulunay et al (2007) developed quantitative estimates of coherence at reflection discontinuities. However, all of these estimates are made from full frequency band seismic data, in which noise reduces the reliability of the estimates due to low signal-to-noise-ratio (SNR).…”

Section: Introductionmentioning

confidence: 97%

Structure-oriented edge-preserving smoothing based on accurate estimation of orientation and edges

Wang

Chen

Xu³

et al. 2009

Appl. Geophys.

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In this paper, we present a new method for reducing seismic noise while preserving structural and stratigraphic discontinuities. Structure-oriented edge-preserving smoothing requires information such as the local orientation and edge of the reflections. The information is usually estimated from seismic data with full frequency bandwidth. When the data has a very low signal to noise ratio (SNR), the noise usually reduces the estimation accuracy. For seismic data with extremely low SNR, the dominant frequency has higher SNR than other frequencies, so it can provide orientation and edge information more reliably than other frequencies. Orientation and edge are usually described in terms of apparent reflection dips and coherence differences, respectively. When frequency changes, both dip and coherence difference change more slowly than the seismogram itself. For this reason, dip and coherence estimated from dominant frequency data can approximately represent those of other frequency data. Ricker wavelet are widely used in seismic modeling. The Marr wavelet has the same shape as Ricker wavelets in both time and frequency domains, so the Marr wavelet transform is selected to divide seismic data into several frequency bands. Reflection apparent dip as well as the edge information can be obtained by scanning the dominant frequency data. This information can be used to selectively smooth the frequency bands (dominant, low, and high frequencies) separately by structure-oriented edge-preserving smoothing technology. The ultimate noise-suppressed seismic data is the combination of the smoothed frequency band data. Application to synthetic and real data shows the method can effectively reduce noise, preserve edges, improve trackable reflection continuity, and maintain useful information in seismic data.

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“…Tau-P transforms have been widely used in seismic signal preprocessing because they offer a good representation of the seismic signals (Gulunay et al, 2007). However, Tau-P transforms also suffer from energy leakage among different slowness values, which limits separability of events with different apparent dip s. One solution is to add a sparseness constraint to the Tau-P transform to suppress energy leakage and thus improve the resolution of the Tau-P transform (Herrmann et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Seismic interference noise attenuation based on sparse inversion

Zhang

Wang

2015

SEG Technical Program Expanded Abstracts 2015

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In marine seismic acquisition, seismic interference (SI) remains a considerable problem when marine seismic data sets are acquired in close vicinity to each other. We present a method for attenuating SI noise using a sparse Tau-P transform. Using a synthetic example, we demonstrate that this method effectively attenuates SI noise while preserving the seismic signals. Further tests on field data confirm the robustness of the method. Compared to the conventional Tau-P based method, our approach leaves less residual noise while still preserving the integrity of the primary signals.

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Coherency enhancement on 3D seismic data by dip detection and dip selection

Cited by 11 publications

References 9 publications

The Impact of Spatial Sampling and Migration on the Interpretation of Complex Archaeological Ground‐penetrating Radar Data

The Impact of Spatial Sampling and Migration on the Interpretation of Complex Archaeological Ground‐penetrating Radar Data

Structure-oriented edge-preserving smoothing based on accurate estimation of orientation and edges

Seismic interference noise attenuation based on sparse inversion

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