Ridgelet Domain Method of Ground‐Roll Suppression

Bao, Qianzong; Gao, Jinghuai; Chen, Wenchao

doi:10.1002/cjg2.1121

Cited by 10 publications

(5 citation statements)

References 10 publications

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“…Median filtering and coherent noise suppression were used to remove monofrequency noises and linear noises. Frequency wave-number and the data-driven multiple suppression inversion internal multiple suppression method based on wave equation theory (Bao et al, 2021) is applied to suppress multiples at far-and near-offset, respectively. Applications to field data indicate that the combined processing method can effectively suppress noises in seismic shear wave data.…”

Section: Geophysical Data Processingmentioning

confidence: 99%

Recent advances in theory and technology of oil and gas geophysics

Wang

Liu

Zou

et al. 2023

Adv. Geo-Energy Res.

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Oil and gas are important energy resources and industry materials. They are stored in pores and fractures of subsurface rocks over thousands of meters in depth, making the finding and distinguishing them to be a significant challenge. The geophysical methods, especially the seismic and well-logging methods, are the effective ways to identify the oil and gas reservoirs and are widely used in industry. Due to the complexity of near surface and subsurface structures of new exploration targets, the geophysical methods based on advanced computation methods and physical principles are continuously proposed to cope with the emerging challenges. Thus, some new advances in theory and technology of oil and gas geophysics are summarized in this editorial material, especially focusing on the geophysical data processing, numerical simulation technology, rock physics modeling, and reservoir characterization.

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Section: Geophysical Data Processingmentioning

confidence: 99%

Recent advances in theory and technology of oil and gas geophysics

Wang

Liu

Zou

et al. 2023

Adv. Geo-Energy Res.

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“…Frequency filtering, velocity filtering (Askari and Siahkoohi, 2008), and Radon transform (τ-p transform [Zhang et al, 1999]) filtering are classical approaches used to remove the surface waves. In recent years, novel techniques such as the wavelet transform (Gao et al, 2006, Leite et al, 2008, singular value decomposition (SVD) (Li et al, 2007), and Ridgelet transform (Bao et al, 2007) have also been developed and achieved some good results. In this paper, a specific trace transform filter -the co-core trace (CCT) transform filter -is proposed based on, in image processing, the novel concept of the trace transform and, in seismic processing, the surface wave propagation and energy distribution.…”

Section: Introductionmentioning

confidence: 98%

Surface wave attenuation of seismic records with the co-core trace transform filter

Yang

2011

GEOPHYSICS

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To remove surface waves from seismic records while preserving other seismic events of interest, we introduced a transform and a filter based on recent developments in image processing. The transform can be seen as a weighted Radon transform, in particular along linear trajectories. The weights in the transform are data dependent and designed to introduce large amplitude differences between surface waves and other events such that surface waves could be separated by a simple amplitude threshold. This is a key property of the filter and distinguishes this approach from others, such as conventional ones that use information on moveout ranges to apply a mask in the transform domain. Initial experiments with synthetic records and field data have demonstrated that, with the appropriate parameters, the proposed trace transform filter performs better both in terms of surface wave attenuation and reflected signal preservation than the conventional methods. Further experiments on larger data sets are needed to fully assess the method.

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“…Methods of surface-wave suppression are based on single-component processing or multicomponent processing. Methods of single-component processing include f-k filtering, empirical mode decomposition and other transform methods [4,[13][14][15] while methods of multicomponent processing are polarization filtering and vector median filtering which preserve the vector characteristics and the spectral bandwidth of reflections [16,17].…”

Section: Introductionmentioning

confidence: 99%

Surface-Wave Extraction Based on Morphological Diversity of Seismic Events

Qiu¹,

Wang²,

Wang³

2018

Preprint

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Extraction of high-resolution surface waves is essential in surface-wave survey. Because reflections usually interfere with surface waves on X component in a multicomponent seismic exploration, it is difficult to extract dispersion curves of surface waves. The situation goes more serious when the frequencies and velocities of higher-mode surface waves are close to those of PS-waves. A method for surface-wave extraction is proposed based on the morphological differences between reflections and surface waves. Frequency-domain high-resolution linear Radon transform (LRT) and time-domain high-resolution hyperbolic Radon transform (HRT) are used to represent surface waves and reflections respectively. Then, the sparse representation problem based on the morphological component analysis (MCA) is built and optimally solved to obtain high-fidelity surface waves. An advantage of our method is its ability to extract surface waves when their frequencies and velocities are close to those of reflections. Furthermore, results of synthetic and field examples confirm that the proposed method can attenuate the distortion of surface-wave dispersive energy caused by reflections, which contributes to extracting accurate dispersion curves.

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Ridgelet Domain Method of Ground‐Roll Suppression

Cited by 10 publications

References 10 publications

Recent advances in theory and technology of oil and gas geophysics

Recent advances in theory and technology of oil and gas geophysics

Surface wave attenuation of seismic records with the co-core trace transform filter

Surface-Wave Extraction Based on Morphological Diversity of Seismic Events

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