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Network Distributed Parallel Processing of Pre-Stack Layer-Stripping Reverse-Time Migration

重合前逐層逆時移位之網路分散式平行處理法

並列摘要


Pre-stack layer-stripping reverse-time migration is successful for structures with steep dips and strong velocity contrasts. This technique uses reverse-time method to migrate seismic sections through constant or smoothly varying velocity layers, one layer at a time. The final migration result is composited from the individual layers' images. The most important advantage of the pre-stack layer-stripping reverse-time migration method is that it makes interpretation become a step of migration. However, although supercomputers have made computation less of a problem, applying pre-stack layer-stripping reverse-time migration to a large seismic model still requires significant computation expense. With the help of modern computer network techniques, we have successfully developed a cheap and high efficient strategy to perform pre-stack layer-stripping reverse-time migration. This technique uses several networked workstations to share the works of migration. Migration is distributed to different machines through network and all machines share the same data file. The networked distributed parallel processing technique greatly increases the computational efficiency, reduces the computational cost, and shares computational resources available. Comparing the performance of migration on 6clustered VAX workstations and a CONVEX C220 mini super computer, the total computer time on both systems are almost identical. Using the network distributed parallel processing technique, we may develop time consuming data processing algorithm with small computer systems. This technique is particularly important for 3-D data processing.

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