【摘要】 傅氏变换有限差分(FFD)波场延拓法是地震偏移成像中常用且精度高的算法。在串行运行环境下,当输入数据模型较大时,使用该算法将产生巨大的计算量和数据量,造成运算时间长、效率低的问题,特别是波动方程叠前偏移。实验表明,对二维FFD波动方程叠前偏移算法进行并行化和基于CUDA的移植改造,能够极大地提高其运行效率。更多还原

【Abstract】 The formula of Fourier Finite Difference(FFD) wave field extrapolation is an exact algorithm commonly used in seismic migration.In serial operation environment,when the input data model is larger,using this algorithm will produce large amounts of calculation and data.It causes the problem of low efficiency,especially in wave equation prestack migration.Experiments show that the parallel algorithm of 2D FFD wave equation prestack migration based on CUDA can greatly improve its efficiency.更多还原