海量地震数据叠前逆时偏移的多GPU联合并行计算策略
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摘要
叠前逆时深度偏移(Pre-stack Reverse-time Depth Migration,RTM)是一种全波场成像方法。由于其实现过程存在着存储量、计算量庞大以及成像噪声等问题,难以适应实际生产的需求,使得该方法一直没有在工业界得到广泛的应用。采用震源波场重构的策略降低了存储需求;针对其计算量巨大的问题,利用了图形处理器(Graphic Processing Unit,GPU)进行并行计算,并与中央处理器(Central Processing Unit,CPU)结合实现协同并行处理;同时采用GPU多卡联合策略解决GPU显存不足的瓶颈。实际资料试验处理结果表明,上述技术措施能够在保证RTM高精度成像优势的基础上极大地提高计算效率,为应用RTM处理海量地震数据提供了良好的技术支持。
引文
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