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Acceleration of stable TTI P-wave reverse-time migration with GPUs

机译:使用GPU加速稳定的TTI P波逆时迁移

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摘要

When a pseudo-acoustic TTI (tilted transversely isotropic) coupled wave equation is used to implement reverse-time migration (RTM), shear wave energy is significantly included in the migration image. Because anisotropy has intrinsic elastic characteristics, coupling P-wave and S-wave modes in the pseudo-acoustic wave equation is inevitable. In RTM with only primary energy or the P-wave mode in seismic data, the S-wave energy is regarded as noise for the migration image. To solve this problem, we derive a pure P-wave equation for TTI media that excludes the S-wave energy. Additionally, we apply the rapid expansion method (REM) based on a Chebyshev expansion and a pseudo-spectral method (PSM) to calculate spatial derivatives in the wave equation. When REM is incorporated with the PSM for the spatial derivatives, wavefields with high numerical accuracy can be obtained without grid dispersion when performing numerical wave modeling. Another problem in the implementation of TTI RTM is that wavefields in an area with high gradients of dip or azimuth angles can be blown up in the progression of the forward and backward algorithms of the RTM. We stabilize the wavefields by applying a spatial-frequency domain high-cut filter when calculating the spatial derivatives using the PSM. In addition, to increase performance speed, the graphic processing unit (GPU) architecture is used instead of traditional CPU architecture. To confirm the degree of acceleration compared to the CPU version on our RTM, we then analyze the performance measurements according to the number of GPUs employed.
机译:当使用伪声学TTI(横观各向同性倾斜)耦合波方程来实现逆时偏移(RTM)时,偏移波能量会显着包含在偏移图像中。由于各向异性具有固有的弹性特征,因此在伪声波方程中不可避免地要耦合P波和S波模。在仅具有一次能量或地震数据中具有P波模式的RTM中,S波能量被视为迁移图像的噪声。为了解决这个问题,我们导出了TTI介质的纯P波方程,其中不包括S波能量。另外,我们应用基于Chebyshev展开的快速展开方法(REM)和伪谱方法(PSM)来计算波动方程中的空间导数。当将REM与用于空间导数的PSM结合使用时,在执行数值波建模时,可以获得高数值精度的波场而不会出现网格分散。 TTI RTM实施中的另一个问题是,在RTM的前向和后向算法进行过程中,可能会炸落倾角或方位角高梯度区域中的波场。当使用PSM计算空间导数时,我们通过应用空间频域高切滤波器来稳定波场。另外,为了提高性能速度,使用图形处理单元(GPU)架构代替了传统的CPU架构。为了确定与RTM上的CPU版本相比的加速程度,我们然后根据所用GPU的数量来分析性能指标。

著录项

  • 来源
    《Computers & geosciences》 |2013年第3期|204-217|共14页
  • 作者单位

    Seoul National University, Research Institute of Energy and Resources 151-744/Building 135, College of Engineering, Seoul National University, Daehak-dong Gwanak-gu, Seoul, Republic of Korea;

    Seoul National University, Research Institute of Energy and Resources 151-744/36-2061 College of Engineering, Seoul National University, Daehak-dong Gwanak-gu, Seoul, Republic of Korea;

    Seoul National University, Research Institute of Energy and Resources 151-744/36-2061 College of Engineering, Seoul National University, Daehak-dong Gwanak-gu, Seoul, Republic of Korea;

    Seoul National University, Research Institute of Energy and Resources 151-744/36-2061 College of Engineering, Seoul National University, Daehak-dong Gwanak-gu, Seoul, Republic of Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    GPU; MPI; REM; RTM; TTI;

    机译:GPU;MPI;REM;RTM;TTI;

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