Journal
PETROLEUM SCIENCE AND TECHNOLOGY
Volume 41, Issue 24, Pages 2344-2361Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10916466.2022.2118771
Keywords
Geophysical exploration; multiple-scale; noise suppression; non-uniform curvelet transform; non-uniform fast Fourier transform; seismic data
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available