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Higher‐order correlative stacking for seismic data denoising based on the multiple‐domain combination
- Source: Near Surface Geophysics, Volume 15, Issue 3, Jun 2017, p. 260 - 273
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- 01 May 2016
- 01 Feb 2017
- 01 Feb 2017
Abstract
To improve the denoising performance of seismic data contaminated with random and coherent noises, a hybrid denoising scheme is proposed in this paper. It aims to whiten the random noise and identify the coherent noise for the preserved or prominent seismic features. Using the wavelet and curvelet basis functions in curvelets alternately, the hybrid denoising scheme utilises the representation of edges and singularities along curves. Then it adapts the wavelet‐based higherorder correlative stacking denoising method from seismic exploration sequentially. With regard to seismic records for bedrock surface detection after the artificial backfill, the noisy data are significantly improved both in terms of denoising and improving fidelity. To illustrate the advantage of the hybrid denoising scheme, a comparison of the performances between the different individual denoising methods, including the higher‐order correlative stacking method and curvelets with wavelet and curvelet basis functions, has been presented for the complex seismic records contaminated with different noises. Numerical case studies and a field data analysis have been used to show that the proposed hybrid denoising scheme is more effective for seismic data containing complex features than the individual denoising methods.