In this paper, we have successfully applied visco-acoustic least square migration(VLSRTM) on a 3D land data. We also propose a CPU/GPU hybrid parallel computation strategy for implementing VLSRTM. Numerical examples demonstrate that when compared with conventional least square migration method, the anelastic effect is compensated correctly with VLSRTM and higher resolution.imaging result is obtained. The significant improvement of computational efficiency by using the present CPU/GPU hybrid parallel computation strategy is also verified.


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  1. ZhangMeng, WangHuazhong, et al.
    Full waveform inversion on CPUGPU heterogeneous platform and its application on land datasets. 2014. EAGE.
    [Google Scholar]
  2. LiZ C, GuoZ B, TianK.Least-squares reverse time migration in visco-acoustic medium. Chinese J. Geophys.(in Chinese), 2014.57(1):214–228.
    [Google Scholar]
  3. MicikeviciusP.
    3D finite difference computation on GPUs using CUDA. 2nd Workshop on general purpose processing on Graphics processing units, Expanded Abstracts, 2008, 79~84
    [Google Scholar]
  4. ChaventG., PlessixR. E.
    An optimal true-amplitude least-squares pre-stack depth-migration operator[J]. Geophysic, 1999. 64(2): 508–51.
    [Google Scholar]
  5. TarantolaA.
    Inversion of seismic reflection data in the acoustic approximation. Geophysics, 1984.49(8):1259–1266.
    [Google Scholar]

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