Novel Wavelet Threshold Denoising Method to Highlight the First Break of Noisy Microseismic Recordings

We proposed a novel wavelet threshold denoising method based on the discrete wavelet transform for noisy microseismic recordings. This algorithm can simultaneously suppress both the high- and low-frequency noises of the microseismic recordings and further highlight the first break of the noisy micro...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-10
Main Authors: Li, Huailiang, Shi, Jiahao, Li, Linjia, Tuo, Xianguo, Qu, Kai, Rong, Wenzheng
Format: Article
Language:English
Subjects:
Algorithms
Coefficients
Continuity (mathematics)
Discrete Wavelet Transform
Discrete wavelet transforms
Mathematical analysis
Microseismic events
microseismic first break
Microseisms
Noise measurement
Noise reduction
Shape
Signal to noise ratio
Transforms
wavelet denoising
wavelet threshold
wavelet thresholding function
Wavelet transforms
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We proposed a novel wavelet threshold denoising method based on the discrete wavelet transform for noisy microseismic recordings. This algorithm can simultaneously suppress both the high- and low-frequency noises of the microseismic recordings and further highlight the first break of the noisy microseismic recordings. First, we design an adaptive threshold calculation method based on all the wavelet coefficients in different decomposition levels. Then, a continuous and derivable thresholding function is constructed. By adjusting the preset shape adjustment parameters, a more reasonable thresholding function is determined to achieve the denoising processing for highlighting the first break of the microseismic recordings. Finally, different comparison tests are performed to evaluate the performance of the developed method, and the results indicate that the new method can achieve a more effective denoising result. Application on the real microseismic recordings further confirms that the proposed method can make the corresponding first break more clear.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2022.3142089