Acoustic VTI reverse time migration based on an improved source wavefield storage strategy
Acoustic VTI reverse time migration based on an improved source wavefield storage strategy
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基于改进源波场存储策略的声学VTI逆时偏移
DOI:
10.1071/eg17018
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发表时间:
2018-04
影响因子:
0.9
通讯作者:
Xuan Ke
中科院分区:
文献类型:
--
作者:
Ying Shi;Xiuzheng Fang;Weihong Wang;Xuan Ke
Advances in computational capabilities as well as ongoing improvements in storage strategies have made reverse time migration (RTM) a feasible method for capturing images of complex structures. However, large storage requirements still restrict RTM applications, especially in anisotropic media. Utilising a first-order quasi-P-wave equation in vertically transversely isotropic (VTI) media, we investigate anisotropy and deduce an RTM equation for a staggered-grid high-order finite difference (FD) scheme incorporating a perfectly matched layer (PML) boundary in this study. We also develop an improved source wavefield storage strategy via a PML boundary method for VTI medium RTM using graphic processing unit (GPU) accelerated computation. Our proposed method significantly reduces the total volume of data storage required for conventional RTM while increasing calculation time by just a small amount. Checkpoints can be set based on GPU memory size, leading to the generation of high precision and high efficiency subsurface images. We carried out a series of numerical tests on simple anisotropic media and complex Hess 2D VTI models to verify the effectiveness of our proposed method. The reverse time migration (RTM) equations for staggered-grid high order finite difference scheme incorporating a perfectly matched layer boundary for vertically transversely isotropic (VTI) media are proposed, and checkpoints and GPU accelerated techniques are utilised for data storage and computation efficiency. Hess 2D model tests demonstrate the effectiveness of the proposed algorithm.
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DOI:
10.3997/2214-4609.20147774
发表时间:
2008-06
期刊:
--
影响因子:
--
作者:
Xiang Du;R. Fletcher;P. Fowler
通讯作者:
Xiang Du;R. Fletcher;P. Fowler
影响因子:
1.4
作者:
R. Pestana;B. Ursin;P. Stoffa
通讯作者:
R. Pestana;B. Ursin;P. Stoffa
DOI:
10.1016/j.cageo.2015.06.018
发表时间:
2015-09
期刊:
Comput. Geosci.
影响因子:
--
作者:
F. Han;Sam Z. Sun
通讯作者:
F. Han;Sam Z. Sun
影响因子:
3.3
作者:
W. Symes
通讯作者:
W. Symes
DOI:
10.1190/1.3059320
发表时间:
2008
期刊:
Seg Technical Program Expanded Abstracts
影响因子:
--
作者:
E. Duveneck;P. Milcik;P. Bakker;C. Perkins
通讯作者:
E. Duveneck;P. Milcik;P. Bakker;C. Perkins