Seismic Coherent Noise Removal of Source Array in the NSST Domain

Author:

Yu MinghaoORCID,Gong Xiangbo,Wan Xiaojie

Abstract

The technique of the source array based on the vibroseis can provide the strong energy of a seismic wave field, which better meets the need for seismic exploration. The seismic coherent noise reduces the signal-to-noise ratio (SNR) of the source array seismic data and affects the seismic data processing. The traditional coherent noise removal methods often cause some damage to the effective signal while suppressing coherent noise or cannot suppress the interference wave effectively at all. Based on the multi-scale and multi-direction properties of the non-subsampled Shearlet transform (NSST) and its simple mathematical structure, the seismic coherent noise removal method of source array in NSST domain is proposed. The method is applied to both the synthetic seismic data and the filed seismic data. After processing with this method, the coherent noise of the seismic data is greatly removed and the effective signal information is greatly protected. The analysis of the results demonstrates the effectiveness and practicability of the proposed method on coherent noise attenuation.

Funder

the National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference33 articles.

1. Expand Dimensional of Seismic Data and Random Noise Attenuation Using Low-Rank Estimation;Mafakheri;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2022

2. Random Noise Attenuation in Seismic Data Using Hankel Sparse Low-Rank Approximation;Anvari;Comput. Geosci.,2021

3. Evaluation of Pulse Effect on Frequency Content of Ground Motions and Definition of a New Characteristic Period;Yaghmaei-Sabegh;Earthq. Struct.,2021

4. A Procedure for Optimally Removing Localized Coherent Noise;Linville;Geophysics,1995

5. Slowness Adaptive f-k Filtering of Prestack Seismic Data;Duncan;Geophysics,1994

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