适于大规模数据的逆时偏移实现方案

The implementation scheme of reverse-time migration for mass seismic data

针对海量地震数据逆时偏移所面临的问题和挑战，解决逆时偏移海量计算和海量存储需求在CPU／GPU异构集群平台上实现时的技术瓶颈，重点介绍了基于GPU-RDMA直接通信技术和GPU-Stream流技术的并行算法，形成适合于GPU集群的大规模分布式并行计算，即高密度采集地震数据的三维叠前逆时偏移计算技术；应用高密度实际地震数据测试，计算效率可提升15～40倍。

In view of the problems and challenges in prestack reversetime depth migration （ RTM） for mass seismic data,the paper focuses on introducing GPURDMA and GPUStream,which are used to solve the large calculation cost and the mass memory demand of RTM on the CPU/GPU heterogeneous platform,and develops the RTM suitable for largescale distributed parallel computing in GPU clusters.This technology can be used to deal with the high density seismic data,and the results of actual seismic data application show that the computing efficiency is up to 15～40 times.