Coherent noise attenuation for passive seismic data based on iterative two dimensional model shrinkage

• Autorzy: Hu, Bin , Jia, Zhuo , Zhang, Ling
• Języki publikacji: EN

Abstrakty

EN

Passive seismic source imaging can be utilized to recover geophysical information from subsurface ambient noise. Compared with conventional active seismic exploration, passive seismic source imaging is cost-efective and environmentally friendly. However, passive data acquisition cannot easily satisfy the theoretical condition, leading to noised virtual-shot gathers. Furthermore, coherent noise limits the application of passive source data. Although image quality improvement techniques for passive source data have recently attracted considerable interest, the denoising problem for virtual-shot gathers is seldom considered. In this study, we propose an iterative denoising approach for passive seismic data. The criterion used to extract useful signals is the diference between the wavefeld similarity of useful events and the coherent noise in various gathers, i.e., the common shot gather and common receiver gather. We adopted local similarity to measure the similarity level and extract major useful events. However, the close local similarity between weak events and coherent noise may cause signal leakages and singular noise residuals. We incorporated an iterative two-dimensional model shrinkage algorithm into the denoising process to suppress the singular noise residual and highlight useful events. The proposed approach can overcome the limits of strong coherent noise in virtual-shot gathers, which can extend the choice range for data processing. Synthetic and feld examples demonstrate a promising coherent noise attenuation performance, illustrating the efectiveness and feasibility of the proposed method. The denoised migrated section exhibits a smaller depth error and higher quality

Słowa kluczowe

PL

pasywne odszumianie danych; spójne tłumienie hałasu

EN

passive data denoising; coherent noise attenuation; two-dimensional model shrinkage; local similarity

• Czasopismo: Acta Geophysica
• Rocznik: 2021
• Tom: Vol. 69, no. 3
• Strony: 773--782
• Opis fizyczny: Bibliogr. 27 poz.

Twórcy

autor

Hu, Bin

• College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, People’s Republic of China

autor

Jia, Zhuo

• College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, People’s Republic of China,

autor

Zhang, Ling

• College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, People’s Republic of China

Bibliografia

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Identyfikatory

DOI

10.1007/s11600-021-00564-y