【摘要】 油气田射孔作业引发的微地震事件频率高、持续时间短、能量小,地面采集时很容易被周围的环境噪声淹没。在进行微地震信号特征分析前必须首先进行微地震信号的滤波处理,由于微地震事件能量低,使用常规的滤波方法难以检测出地面检波器采集的微地震信号。因此,提出了一种基于随机信号统计理论的互相关函数检测方法,该方法不仅在衰减环境噪声方面有良好的效果,而且也能够检测出地面检波器采集的各种信号。更多还原

【Abstract】 The micro-seismic events caused by perforating obtained higher frequency,shorter period and lower energy.It’s signals were easy to be annihilated by the noise around.To obtain the characteristics of the micro-seismic signals,it was essential to filter to the micro-seismic data.Because the energy is low for the micro-seismic process,it is difficult to discern the effective singles with conventional filtering methods.So,a cross-correlation filtering technology is proposed based on the random signal detection theory.The technology can achieve a good result in the elimination of random noise acquired ion the ground.更多还原