A method of signal extracting in low SNR seismic data
XU Zilong1, SONG Lin1, XIA Hongrui2
1. Sinopec Geophysical Research Institute, Nanjing, Jiangsu 211103, China; 2. Geophysical Research Center, Geophysical Department, Jianghan Petroleum Administration Bureau, Sinopec, Qianjiang, Hubei 433100, China
Abstract:The combination of improved wavelet threshold denoising and stacking technologies is useful to extract signals from low SNR seismic data. After wavelet transform, the spatial-temporal threshold of the wavelet coefficient of each seismic trace is calculated in every wavelet scale. In order to diminish over-smoothing or over-preserving in classic wavelet threshold denoising, both median filtering and stacking are used as constraints in denoising. Classic wavelet threshold denoising is modified based on the above method to realize wavelet threshold denoising. Finally, denoised seismic data can be obtained after wavelet reconstruction. Using multiple wavelets to repeat the above operations, multiple denoised traces can be obtained. These traces can be stacked to extract signals from low SNR data. Both theoretical and real data show that this method is able to achieve accurate extraction of signals from low SNR seismic data, and the processing result is significantly better than conventional methods.
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