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Passive Source Data Denoising Using Focal Transform
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 79th EAGE Conference and Exhibition 2017, Jun 2017, Volume 2017, p.1 - 5
Abstract
Passive seismic sources imaging, the processing of synthesizing active subsurface information by utilizing ambient noise records, has been proved its validity in many substantial literatures. Conventional noise attenuation method has a poor performance because of Strong coherent noise in passive data, which has negative influence on pervasive application of interferometry technology. In this paper, we present a passive source data denoising strategy based on focal transform to allow the incorporation of information about the involved wavefields, which Useful signal can be preserved and coherent noise can be eliminated in focal domain. Focal operator, which is the key to denoising result and convergence rate, can be obtained using local similarity. Synthetic data shows great improvements in coherent noise suppressing and continuity of useful signal.