【摘要】 针对地面微地震监测资料中噪声特点,根据实际有效事件同相轴不规则、静校正难度大的情况,从有效事件角度出发,研究了地面微地震资料τ-p变换去噪方法,以微地震有效事件作为识别目标,在τ-p域进行识别、分析、提取。针对常规τ-p变换存在的计算效率低、分辨率低的缺陷,应用了高分辨率τ-p变换方法;为了适应τ-p变换特性,提出了有效事件时差校正法,并采用邻近事件进行约束。最后用模型以及实际资料进行验证,改善了方法的实际应用效果,表明该去噪方法能够有效地压制微地震实际监测中的噪声,特别是线性相关噪声,提高了资料的信噪比,增强了地面微地震事件的辩识度。更多还原

【Abstract】 In microseismic monitoring,effective events are irregular and static corrections are difficult.At the same time noise removal is also a difficult problem.We propose in this paper a noise suppression method withτ-p transform.We identify and extract microseismic events in the domain.Conventional transform has low resolution and low computation efficiency.Then we adopt high resolution transform.Finally we perform moveout corrections on effective events and transform constraint by adjacent effective events.Both model tests and real data processing show that the proposed method can effectively suppress microseismic monitoring data noise,especially linear noise,and improve surface microseismic event identification.更多还原