【摘要】 基于波动方程的叠前深度偏移对计算机的速度和存储空间都有较高要求.随着并行集群的出现,此类叠前深度偏移问题已经开始应用于工业生产,但与传统偏移方法相比仍然耗时较长.本文应用三次样条函数对波场延拓算子进行光滑处理,然后用抽样函数进行算子重建,既可以保证计算精度,又能减少叠前深度偏移过程所需的计算存储,从而提高效率,缩短整个处理流程的时间.更多还原

【Abstract】 Computer’s capacity and memory are key factors in pre-stack depth migration based on wave-equation. Nowadays, pre-stack depth migration comes into use in industrial production along with the appearance of Beowulf PC-clusters, but it still takes much longer time than traditional post-stack migration. In this paper, we smooth the propagator with cubic spline function then reconstruct the propagator adopting sample function. Thus we can reduce the use of computer’s memory and in the meantime ensure accuracy, so that the whole dat-processing time is shortened.更多还原