摘要
The signal-to-noise ratio （SNR） of seismic reflection data in many areas is rather poor and conventional two-dimensional filters designed to suppress noise with different moveout from the signal tend to generate artifacts. We have extended a method of multichannel filtering, based on the hypothesis that signals on adjacent channels are similar, for enhancing the SNR on stacked sections. Using only the mid-range frequencies where the SNR is highest, the event trend is found for overlapping windows on the section and the average signal vector is calculated. Then the data from the full bandwidth section are projected onto the spatially varying unit similarity vectors and the results are merged for the overlapping windows. Application of the method to synthetic data containing steeply dipping events and to a stacked section for a marine 2D line has produced good results. The modifications we have introduced carry a small overhead in computing time but they should enable the method to be used effectively even on sections containing steep dips.
在许多区域的地震思考数据的 signal-to-noise 比率(SNR ) 是设计从信号外面与不同行动压制噪音的相当差、常规的二维的过滤器趋于产生人工制品。我们扩大了多信道的过滤的一个方法，基于邻近的隧道上的信号是类似的假设，为提高叠的节上的 SNR。用仅仅 SNR 最高的中间范围的频率，事件趋势被作出对有利的裁决重叠节和平均信号向量上的窗口被计算。然后，从完整的带宽节的数据被投射到空间地变化的单位类似向量上，结果为重叠窗户被合并。到包含陡峭地蘸的事件的合成数据并且到为一根海洋的 2D 线的叠的节的方法的申请生产了好结果。我们介绍了的修正在计算时间带小开销，但是他们应该使方法能甚至在包含陡峭的剧降的节上有效地被过去常。
