【摘要】 针对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,地面采集的微地震信号易被地面环境中随机干扰噪声掩盖,分析微地震相特征时需对微地震信号进行滤波处理,使用常规频率滤波法难以获得准确结果.采用维纳方程相关函数迭加滤波方法,压制随机干扰噪声,获取清晰微地震信号.仿真结果表明,该方法可衰减随机干扰噪声、突出微地震信号同相轴,提高对微地震信号的识别能力.更多还原

【Abstract】 The microseismic events caused by perforating can maintain higher frequency,shorter period,lower energy.Its signals are easy to be annihilated by the ambient noises.Microseismic signals must be filtered when microseismic characteristics are analyzed.Because of the particularity of the microseismic,it is difficult to eliminate random noises to improve SNR with conventional filtering methods.In view of this,we propose a method which applies a Wiener filter method to calculate the filter’s factor and then uses the correlation function superposition method to attenuate random noises.The practical application shows that the method,which proves effective in the detection of the ground microseismic singles,can attenuate much noise to prominent the effective singles of the microseismic facies.更多还原