王程;王维红;

• 1:东北石油大学地球科学学院

摘要(Abstract)：

为有效应用SVD方法压制微地震低信噪比资料中的随机噪声,从微地震压裂后背景监测数据中获取背景噪声特征值和特征值下降比,判断各奇异值分量对数据的贡献,提出一种优选特征值并确定合适降噪阶次的方法。模型数据和实际微地震数据应用结果表明:该方法能够压制与背景噪声一致的随机噪声,压制效果明显,同时对有效信号子波损害较少,有效信号频带未发生迁移且能量得到增强,噪声频率成分的能量得到压制,与实际微地震资料吻合较好,可以为微地震数据后期处理提供依据。

关键词(KeyWords)： 微地震;奇异值分解;特征值下降比;背景噪声;降噪阶次

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41974116);国家自然科学基金项目(41930431)

作者(Author): 王程;王维红;

Email:

DOI:

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