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Published as Geophysics, 80, no. 3, F31-F39, (2015)

A graphics processing unit implementation of time-domain full-waveform inversion

Pengliang Yang% latex2html id marker 1915 \setcounter{footnote}{1}\fnsymbol{footnote}, Jinghuai Gao% latex2html id marker 1916 \setcounter{footnote}{1}\fnsymbol{footnote}, and Baoli Wang% latex2html id marker 1917 \setcounter{footnote}{2}\fnsymbol{footnote}
% latex2html id marker 1918 \setcounter{footnote}{1}\fnsymbol{footnote}Xi'an Jiaotong University,
National Engineering Laboratory for Offshore Oil Exploration,
Xi'an, China, 710049
ypl.2100@gmail.com, jhgao@mail.xjtu.edu.cn
% latex2html id marker 1919 \setcounter{footnote}{2}\fnsymbol{footnote}CCTEG Xi'an Research Institute,
Xi'an, China, 710077
pooly1981@163.com
ypl.2100@gmail.com, jhgao@mail.xjtu.edu

Abstract:

The graphics processing unit (GPU) has become a popular device for seismic imaging and inversion due to its superior speedup performance. In this paper we implement GPU-based full waveform inversion (FWI) using the wavefield reconstruction strategy. Because the computation on GPU is much faster than CPU-GPU data communication, in our implementation the boundaries of the forward modeling are saved on the device to avert the issue of data transfer between host and device. The Clayton-Enquist absorbing boundary is adopted to maintain the efficiency of GPU computation. A hybrid nonlinear conjugate gradient algorithm combined with the parallel reduction scheme is utilized to do computation in GPU blocks. The numerical results confirm the validity of our implementation.


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2021-08-31