【摘要】 横向中值滤波是地震资料去噪处理中常用的方法,但对数据有较为严格的要求,否则便达不到理想的去噪效果。叠前可控震源资料满足中值滤波方法的应用条件(即能量一致、波形统一和时间对齐),但样点较少时,常规中值滤波会因样点不足而产生边界效应问题。为此,提出了环形中值滤波技术,即将样点首尾相接,这样在样点不足时可由邻道数据补充。针对可控震源资料中存在的多道连续出现强噪声这一问题,提出了环形非对称中值滤波技术,给出了含强噪声样点的识别方法和替换方法。基于理论模型和实际可控震源资料,讨论了环形非对称中值滤波技术的正确性、实用性和适用范围。更多还原

【Abstract】 Lateral medium filtering is a general method in the de-noising of seismic data.As the samples have more stringent requirements in the median filtering,de-noising effect is sometimes not ideal.Prestack seismic data acquired by vibroseis meets the application conditions of median filtering method(namely,the same energy,unified waveform and time alignment).However,the boundary effect of conventional median filtering is more prominent when the samples for participating median filtering is few.Therefore,the donut,end to end median filtering was proposed.By using this method,samples of participating median filtering can be supplemented by the neighboring data when they are not enough for median filtering.Aiming at the problem that strong noise exists continuously in more traces in seismic data acquired by vibroseis,donut-asymmetric median filtering method was proposed,which gives the method for recognizing the samples with strong noise and their replacement method. Based on theoretical model and real seismic data acquired by vibroseis, the validity,practicability and applicable scope of the donut -asymmetric median filtering technology is discussed.更多还原