Surface wave removal with synchrosqueezing wavelet transform
Liu Han, Zhang Jianzhong, Huang Zhonglai
College of Marine Geosciences, Ocean University of China, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Qingdao, Shandong 266100, China
Abstract:Synchrosqueezing wavelet transform (SWT) is a new method for continuous and invertible time-frequency analysis with high temporal and spatial resolution. In this paper, we apply the SWT to remove surface waves from seismic data. First seismic data in the time domain are transformed into that in the time-frequency domain with the SWT. Then surface waves are separated from reflection waves in the time-frequency domain. After surface wave removal, reflection waves in the time-frequency domain are transformed back into that in the time domain, and seismic data without surface waves are finally obtained. Tests on theoretical model and real data shows that the proposed approach can remove surface waves from seismic data without losing signals, and that it seem better than continuous wavelet transform, S transform, and f-k filter.
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