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A practical implementation of 3D TTI reverse time migration with multi-GPUs

机译:多GPU的3D TTI反向时间迁移的实际实现

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Tilted transversely isotropic (TTI) media are typical earth anisotropy media from practical observational studies. Accurate anisotropic imaging is recognized as a breakthrough in areas with complex anisotropic structures. TIT reverse time migration (RTM) is an important method for these areas. However, P and SV waves are coupled together in the pseudo-acoustic wave equation. The SV wave is regarded as an artifact for RTM of the P wave. We adopt matching of the anisotropy parameters to suppress the SV artifacts. Another problem in the implementation of TIT RTM is instability of the numerical solution for a variably oriented axis of symmetry. We adopt Fletcher's equation by setting a small amount of SV velocity without an acoustic approximation to stabilize the wavefield propagation. To improve calculation efficiency, we use NVIDIA graphic processing unit (GPU) with compute unified device architecture instead of traditional CPU architecture. To accomplish this, we introduced a random velocity boundary and an extended homogeneous anisotropic boundary for the remaining four anisotropic parameters in the source propagation. This process avoids large storage memory and IO requirements, which is important when using a GPU with limited bandwidth of PCI-E. Furthermore, we extend the single GPU code to multi-GPUs and present a corresponding high concurrent strategy with multiple asynchronous streams, which closely achieved an ideal speedup ratio of 2:1 when compared with a single GPU. Synthetic tests validate the correctness and effectiveness of our multi-GPUs-based TIT RTM method.
机译:倾斜横观各向同性(TTI)介质是来自实际观测研究的典型地球各向异性介质。准确的各向异性成像被认为是具有复杂各向异性结构的领域的突破。 TIT反向时间迁移(RTM)是这些领域的重要方法。但是,P和SV波在伪声波方程中耦合在一起。 SV波被视为P波RTM的伪影。我们采用各向异性参数的匹配来抑制SV伪影。 TIT RTM实施中的另一个问题是可变取向的对称轴的数值解的不稳定性。我们通过设置少量的SV速度而不采用声学近似来采用Fletcher方程,以稳定波场传播。为了提高计算效率,我们使用具有统一计算设备架构的NVIDIA图形处理单元(GPU)代替传统的CPU架构。为此,我们为源传播中的其余四个各向异性参数引入了随机速度边界和扩展的均匀各向异性边界。此过程避免了大的存储内存和IO需求,这在使用PCI-E带宽有限的GPU时非常重要。此外,我们将单个GPU代码扩展到了多个GPU,并提出了具有多个异步流的相应高并发策略,与单个GPU相比,理想的加速比达到了2:1。综合测试验证了我们基于多GPU的TIT RTM方法的正确性和有效性。

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