2D common‐offset traveltime based diffraction enhancement and imaging

Asgedom, Endrias G.; Gelius, Leiv‐J.; Tygel, Martin

doi:10.1111/1365-2478.12057

Cited by 18 publications

(6 citation statements)

References 27 publications

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“…() showed that the FO CRS method can be used for regularization. By modifying the FO CRS traveltime, Asgedom, Gelius and Tygel () showed that it can be used to separate diffractions and reflections in prestack data.…”

Section: Introductionmentioning

confidence: 99%

Fast estimation of prestack common reflection surface parameters

Waldeland

Coimbra

Faccipieri

et al. 2019

Geophysical Prospecting

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A B S T R A C TWe present a method for fast estimation of finite offset common reflection surface parameters. Firstly, the derivatives with respect to offset are derived from the velocity guide. Secondly, we apply structure tensors to extract the derivatives with respect to midpoint from stacked common offset sections. Finally, the mixed derivative is estimated using a one-parametric semblance search. The proposed method is compared to the global five-parametric semblance search and the pragmatic sequential two-parametric semblance search on one synthetic and one real data set. The experiments show that the proposed method is more robust against noise than the pragmatic search and have comparable robustness with the global search. The proposed method smoothes parameter estimates in a local window, and the window size is set to give the best trade-off between detail and robustness. Since the proposed method is dependent on a velocity guide, the quality of the other parameter estimates may be influenced by any inaccuracies in the guide. The main advantage of the proposed method is the computational efficiency. When compared with a gridded implementation of the semblance search, the proposed method is 10 and 400 times faster than the pragmatic and global search. Alternative search strategies significantly reduce the computational cost of the global search. However, since more than 99% of the computational cost of the proposed method comes from the semblance search to estimate the mixed derivative, it is expected that such techniques also reduce the computational cost for the proposed method.

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Section: Introductionmentioning

confidence: 99%

Fast estimation of prestack common reflection surface parameters

Waldeland

Coimbra

Faccipieri

et al. 2019

Geophysical Prospecting

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“…Yet they carry very diagnostic information about small seam disruptions, such as faults and dykes, which may be hard to see as vertical offsets on conventional reflection sections. Many approaches have been proposed to extract diffractions from reflection seismic data, including: the local slant stack (plane wave decomposition, τ-p transform) (Harlan et al, 1984 andFomel et al, 2007); plane-wave destruction filter (predictive error filter) (Fomel, 2002 andTaner et al, 2006); focusing and defocusing approach (Khaidukov et al, 2004;Berkovitch et al, 2009;Landa et al, 2010); dip angle domain common imaging gathers (Sava and Fomel, 2003;Klokov and Fomel, 2012;Zhang and Zhang, 2014), and common reflection surface (CRS) stack approach (Dell and Gajewski, 2011;Asgedom et al, 2013;Faccipieri et al, 2013).…”

Section: Diffraction Extraction By Maefmentioning

confidence: 99%

Seismic diffraction imaging for improved coal structure detection in complex geological environments

Zhou

Sun

2018

ASEG Extended Abstracts

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To provide a "no major surprises" guarantee of coal seam conditions, reflection seismic surveying is often used for delineation of faults and dykes that have the potential to disrupt underground coal mining operations. Although reflection seismic methods are usually effective for locating faults with throws greater than 5-10 m for 2D and 2-5 m for 3D seismic data, detection of faults with smaller throws, shears and dykes with widths of a few metres remains a challenge to seismic methods.Instead of ignoring or suppressing diffractions by conventional seismic data processing, it has been demonstrated that diffractions contain valuable information, which can be used for identification of subtle coal seam structures. In this paper, we describe a moving average error filter (MAEF) applied in the neighbouring traces to extract diffractions from post-stack reflection seismic data. The filter estimates the reflections with the average values of the neighbouring traces along the reflection direction or dip, which can be computed by the gradients of seismic data. The difference (or error) between the original data and the estimated reflections, yields the diffractions. By identifying diffractions, small faults and other minor features that are difficult to detect using conventional seismic reflection processing can be detected. Numerical and real data examples are used to illustrate the effectiveness of the proposed method in coal seam structure detection by extracting diffractions from reflection seismic data in a relatively complex geological environment.

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“…We observe that the Fresnel zone is "small" for reflections and "large" for diffractions. As shown in Faccipieri et al (2013) and Asgedom et al (2013), the use of "large" (midpoint) apertures of the diffraction moveout can be very effective for imaging diffraction energy.…”

Section: Crs Diffraction Moveoutmentioning

confidence: 99%

Common-Refection-Surface (CRS) Stacking with Diffraction Moveouts of Varying Aperture

Faccipieri¹,

Coimbra²,

Tygel³

et al. 2014

Proceedings

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A modified version of the CRS stacking method based on diffraction moveouts with different midpoint and half-offset apertures is shown to provide clean stacked sections of reflection and diffraction events. Moreover, as the CRS diffraction moveout depends on fewer parameters than its counterpart conventional reflection moveout, the proposed approach also benefits from less computation effort. Illustrative real-data examples are provide showing good potential of the proposed approach.

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2D common‐offset traveltime based diffraction enhancement and imaging

Cited by 18 publications

References 27 publications

Fast estimation of prestack common reflection surface parameters

Fast estimation of prestack common reflection surface parameters

Seismic diffraction imaging for improved coal structure detection in complex geological environments

Common-Refection-Surface (CRS) Stacking with Diffraction Moveouts of Varying Aperture

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