期刊
PETROLEUM SCIENCE AND TECHNOLOGY
卷 41, 期 24, 页码 2344-2361出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/10916466.2022.2118771
关键词
Geophysical exploration; multiple-scale; noise suppression; non-uniform curvelet transform; non-uniform fast Fourier transform; seismic data
One significant challenge in seismic data processing and analysis is the removal of noise. In this study, the non-homogeneous curvelet transform and inverted operator are used for regularized calculation, leading to noise-free seismic data.
One of the significant challenges in processing and analyzing seismic data is the contamination of the seismic signal with noise from various sources. Coherent or incoherent noise, multiples, and other types of noise can all be eliminated using a number of techniques, but it is still complicated to attenuate random noise to the desired level. The non-homogeneous curvelet transform is first applied in this study, and the regularized calculation is then carried out using the inverted operator. Following the application of the linear calculation method, the threshold value is modified to remove the coefficient noise during the iteration process, allowing the homogeneous coefficients and noise-free seismic data to be obtained. We choose some real data as an example and apply the suggested curvelet theory to obtain homogeneous data in order to verify the denoising effect. Tests on real data show that, when the suggested approach interpolates sampled data to be homogeneous, random noise can be effectively reduced. The important benefit of this approach is that features like multi-resolution, and locality introduce minimal overlapping between coefficients representing signal and noise in curvelet domain.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据