SEISMIC EVENTS DETECTION IN STRONG LOW-FREQUENCY BACKGROUND NOISE BY COMPLEX SHOCK FILTER

摘要

Low-frequency random noise in seismic exploration is difficult to suppress, because it is mixed with seismic events in time and frequency domain. In view of the line-like texture characteristic of seismic exploration and the line structure which seismic events show, we detect seismic events in noisy data by complex shock filter which is generated by incorporating the complex diffusion equation and shock filter. This method can detect seismic events in strong low-frequency random noise, and separate signals from noise effectively. Both the processing results of the synthetical records and the field data show the validity of this algorithm applied in events detection. The SNR (Signal to Noise Ratio) and resolution of seismic data is greatly enhanced.