Simultaneous receiver-side deghosting and denoising method based on the sparsity constraint*

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Abstract In marine seismic exploration, the sea surface ghost causes frequency notches and low-frequency loss, which aff ects the signal-to-noise ratio (SNR) and resolution of seismic records. This paper presents a simultaneous receiver-side deghosting and denoising method based on the sparsity constraint. First, considering the influence of propagation direction and sea surface reflection coefficient, the ghost time delay is calculated accurately, and then the accurate ghost operator is constructed in the frequency–slowness domain. Finally, the ghost-free data are obtained using the sparse constraint algorithm that can effectively suppress the ghost along with the noise energy. This method can remove the ghost and noise simultaneously, achieving quick convergence and with few iterations. It is applied to synthetic data and actual streamer fi eld data. Test results prove that the ghost and notches are suppressed eff ectively, the SNR is improved, and the band is well broadened.

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Key words： Sparsity constraint deghosting denoising

Received: 2019-11-16;

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This work was supported by the National Natural Science Foundation of China Joint Fund for Enterprise Innovation and Development (No. U19B6003-04)

Corresponding Authors: Yang Qin-Yong (Email: yqy.swty@sinopec.com)
E-mail: yqy.swty@sinopec.com

About author: Li Hong-Jian graduated from Jilin University, obtained a bachelor's degree in 2011 and a doctor's degree in 2016. At present, he works in Sinopec Geophysical Research Institute as a senior engineer, engaged in seismic data ghost, multiple suppression, denoising, and improving resolution and other preprocessing technologies. Email: hongjianli22@163.com

Cite this article:

. Simultaneous receiver-side deghosting and denoising method based on the sparsity constraint*[J]. APPLIED GEOPHYSICS, 2020, 17(3): 411-418.

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