油气井射孔作业引发的微地震事件频率高、持续时间短、能量小,反射信号很容易被周围的环境噪声湮没,在进行微地震信号特征分析前必须对微地震记录进行压噪处理.由于微地震事件的特殊性,常规地震资料处理方法难以检测微地震记录中的有效信号.为此,提出了一种基于随机信号统计理论的互相关检测方法.该方法利用相邻道地震信号之间有很好的相关性,而与随机噪声的相关性差的特点,对微地震记录相邻道的数据进行相关性运算,达到压制噪声的目的.通过理论分析和微地震实际资料处理证明,该方法不仅在衰减环境噪声方面效果良好,在检测地面接收的微地震信号方面也行之有效.%The microseismic event caused by perforating is characterized by higher frequency,shorter duration and lower energy,and its signals are often buried by the ambient noise. To obtain the characteristics of the microseismic signals,it's essential to carry out de-noising on microseismic signals. Because of the particularity of microseismic event, it is difficult to eliminate random noise to improve SNR with conventional seismic methods. So, we proposed a cross-correlation filtering technique based on random signal statistics theory. The technique suppress noise by cross-correlation computation on neighboring gathers of microseismic record in terms of good correlation between neighboring seismic signals and bad correlation with random noise. The theoretical analysis and data processing proves that the cross-correlation function method is effective eliminating ambient noise and detecting ground microseismic signals.
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