Industrial noise suppression method based on recursion filtering

The quality of seismic data is often influenced by industrial noise in old oilfield exploration. Notch-filtering is commonly used for removing industrial noise and leads to damage the effective signal. Methods based Cosine or Sine function approach is only adaptable to the cases that the amplitude, frequency and phase of industrial noise are stable. The adaptability of the method was limited during actual data processing and it has the disadvantage of large calculation amount and low calculation efficiency on the base of analysis of existing methods. Therefore, the recursion filtering algorithm was proposed to suppress industrial noise. The recursion filter is derived based on industrial noise cyclicity, the operator of recursion filter is modified to ensure the stability and physical feasibility. Tests on synthetic and real data show that this method can remove the industrial noise and avoid the damage to effective signal at the same time.