一种边界保持随机噪声衰减的各向异性拉普拉斯滤波技术An Anisotropic Laplace Filtering Technology with Edge Random Noise Attenuation Retaining
王伟,姜呈馥,张丽霞,梁全胜
摘要(Abstract)：
由于地震勘探目标的复杂性,导致地震采集资料的信噪比降低,在其叠后地震资料中的各种残留噪声将会造成断层和岩性边界的信息模糊,不能满足地震资料精细解释的需求。近年来能够增强断层和岩性边界刻画,同时提高地震资料信噪比的边界保持滤波技术得到很多学者的关注。针对常用的扩散滤波方法在滤波处理时存在的不确定性,从各向异性扩散滤波方程出发,推导出拉普拉斯滤波器模型;利用梯度结构张量技术估计地震同向轴方向和断层位置,给出具有明确空间滤波结构的各向异性拉普拉斯滤波器。将该技术用于三维地震资料处理,不仅可以增强断层成像的清晰度,同时也能提高薄层和微细沉积事件的成像精度,有利于进一步做好储层精细评价。
关键词(KeyWords)： 构造导向滤波;噪声衰减;梯度结构张量;地层倾角;断层检测
基金项目(Foundation): 国家重大科技专项(2011ZX05008-004-70);; 国家自然科学基金(41274125);; 陕西省科技统筹创新工程计划项目(2012KTZB03-03-01)资助
作者(Author): 王伟,姜呈馥,张丽霞,梁全胜
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