【摘要】 由于微地震事件的频率高,持续时间短,能量小,随机噪声甚至可以淹没有用的微地震信号。在确定震源的位置、发震时刻和震源强度之前必须进行滤波处理。而常规的滤波方法在消除噪声,提高信噪比方面难以胜任。提出一种基于统计规律的多道互相关滤波方法,在消除微地震信号噪声方面取得了良好的效果。更多还原

【Abstract】 Microseismic events are characterized by high frequency,short duration,and weak energy.They may even be smeared by random noises.It is necessary to carry out filtering before we determine the position of seismic source,and the exciting time,and strength of seismic signal.Conventional filtering is incapable of removing noises and improving the signal-to-noise ratio of microseismic record.This paper proposes using multi-channel cross-correlation filter to eliminate noises from microseismic data.The feasibility of the proposed method was demonstrated on both model and real data.更多还原