Truncated pseudo-differential operator √−▽2 and its applications in viscoacoustic reverse-time migration

Author:

Yang Jidong1,Qin Shanyuan1,Huang Jianping1,Zhu Hejun2ORCID,Lumley David2ORCID,McMechan George3,Sun Jiaxing1,Zhang Houzhu4

Affiliation:

1. National Key Laboratory of Deep Oil and Gas and School of Geosciences, China University of Petroleum , Qingdao 266580 , China

2. Department of Geosciences and Department of Physics, The University of Texas at Dallas , TX 75080 , USA

3. Department of Geosciences, The University of Texas at Dallas , TX 75080 , USA

4. KTL Imaging LLC , Houston, TX 77043 , USA

Abstract

SUMMARY The pseudo-differential operator with symbol |k|α has been widely used in seismic modelling and imaging when involving attenuation, anisotropy and one-way wave equation, which is usually calculated using the pseudo-spectral method. For large-scale problems, applying high-dimensional Fourier transforms to solve the wave equation that includes pseudo-differential operators is much more expensive than finite-difference approaches, and it is not suitable for parallel computing with domain decomposition. To mitigate this difficulty, we present a truncated space-domain convolution method to efficiently compute the pseudo-differential operator $\sqrt{-\nabla ^2}$, and then apply it to viscoacoustic reverse-time migration. Although $\sqrt{-\nabla ^2}$ is theoretically non-local in the space domain, we take the limited frequency band of seismic data into account, and constrain the approximated convolution stencil to a finite length. The convolution coefficients are computed by solving a least-squares inverse problem in the wavenumber domain. In addition, we exploit the symmetry of the resulting convolution stencil and develop a fast spatial convolution algorithm. The applications of the proposed method in Q-compensated reverse-time migration demonstrate that it is a good alternative to the pseudo-spectral method for computing the pseudo-differential operator $\sqrt{-\nabla ^2}$, with almost the same accuracy but much higher efficiency.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

China University of Petroleum

Publisher

Oxford University Press (OUP)

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