Probability Data Screening Method in Airgun Signal Processing Application

The signal excited by the airgun source is weak, and is easily affected by human motion noise, instrument failure, and earthquake and blasting events, resulting in insufficient utilization of the amplitude information of the airgun signal. The effective removal of interference and the preservation of true amplitude information of the signal is difficult in airgun signal processing. Based on the randomness of noise and the highly repetitive characteristics of airgun signals, we propose probability data screening method. The airgun data from experiments conducted in the Ansha Reservoir and Shanmei Reservoir in Fujian Province in June, 2017 are taken as the research object to assess the effect in practical applications. The results show that the probability data screening method can automatically reject multiple interferences and effectively preserve the amplitude information of the signal by screening out large amplitude records in appropriate proportions. Compared with direct linear superposition, the probability-related linear superposition method can effectively reduce the impact of abnormal interference, and significantly improve the quality of the observed data.