Proceedings Article10.1190/SEGAM2014-1478.1
Random Noise Suppression Using Normalized Convolution Filter
TL;DR: In this paper, the normalized convolution (NC) filter is proposed to improve the continuity of seismic events by attenuating noise and enhancing the seismic event continuity with a confidence estimation of the signal.
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Abstract: Summary Random noise in seismic data hampers seismic interpretation, confounds automatic pickers, overprints seismic attributes, and masks subtle geologic features of interest. For this reason much of seismic processing is devoted to increasing the the signal to noise ratio. In this paper, we introduce a novel method named the normalized convolution, or NC filter, which is based on a confidence estimation of the signal, to improve our signal to noise raito. The NC filter attenuates noise and enhances the continuity of seismic events. We demonstrate the effectiveness of the filter on simple synthetic, a real data set contaminated with real band-limited seismic noise, and a real data set contaminated with high amplitude artificial noise. These examples suggest that the proposed method is ready for application to seismic data.
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Citations
Denoising Seismic Signal via Resampling Local Applicability Functions
TL;DR: In this paper , a generalized seismic noise attenuation solution is proposed that can be applied to typical denoising operators, and the resampling operation does not require a lot of parameter tuning.
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Synthesis of Directional Wave Packets from Shot Records
TL;DR: In this paper, the authors proposed a method to synthesize GWP field data in complex media using recorded shot records of point sources based on the reverse-time concept and evaluated the quality of the synthesized GWP data, including the influences from point-source wavelets and the spatial interval between point sources.
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Seismic denoising using thresholded adaptive signal decomposition
TL;DR: A noise suppression workflow is constructed based on a data-adaptive signal decomposition method (variational mode decomposition) that addresses the issue of which of the generated intrinsic mode functions represent signal and which represent noise.
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Compressed sensing with log-sum heuristic recover for seismic denoising
Fengyuan Sun,Qiang Zhang,Zhipeng Wang,Wei Hou +3 more
TL;DR: CS-LHR method recovers sparse coefficients with limit p→0+ to enhance seismic denoising.
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