A stable and efficient approach of Q reverse time migration
Autor: | Ningbo Mao, Yan Zhao, Zhiming Ren |
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Rok vydání: | 2018 |
Předmět: |
Physics
010504 meteorology & atmospheric sciences Attenuation Resolution (electron density) Phase distortion Seismic migration 010502 geochemistry & geophysics 01 natural sciences Viscoelasticity Seismic wave Computational physics Geophysics Geochemistry and Petrology Energy (signal processing) 0105 earth and related environmental sciences |
Zdroj: | GEOPHYSICS. 83:S557-S567 |
ISSN: | 1942-2156 0016-8033 |
DOI: | 10.1190/geo2018-0022.1 |
Popis: | Amplitude energy attenuation and phase distortion of seismic waves caused by formation viscoelasticity reduce the resolution of reverse time migration (RTM) images. Q-RTM often is used to compensate the attenuation effects and improve the resolution of seismic imaging. However, serious high-frequency noise and tremendous amplitude will be produced during the wavefield extrapolation of Q-RTM, resulting in its inability to be imaged. Many Q-RTM algorithms solve the problem of instability through low-pass filtering in the wavenumber domain, but the method is less efficient in computation and has a truncation effect in the wavefield. We have developed a stable and efficient Q-RTM method, in which a regularization term was introduced into the viscoacoustic wave equation to suppress the high-frequency noise, and the finite-difference method was used to solve the viscoacoustic wave equation with a regularization term. We used the model example to visually demonstrate the instability of wavefield extrapolation in Q-RTM and compared the effect and computational efficiency of the two stabilization processing methods, low-pass filtering and regularization. Meanwhile, our method is not involved in solving the fractional derivatives by using the pseudo-spectral method, the computational efficiency also can be improved. We tested the Q-RTM approach on a simple layered model, Marmousi model, and real seismic data. The results of numerical examples demonstrated that the Q-RTM method can solve the problem of instability effectively and obtain a higher resolution image with lower computational cost. |
Databáze: | OpenAIRE |
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