Petroleum Science >2022,??lssue 4:??- DOI: https://doi.org/10.1016/j.petsci.2022.03.008.
A fast space-time-domain Gaussian beam migration approach using the dominant frequency approximation Open?Access
文章信息
作者：Dong-Lin Zhang, Jian-Ping Huang, Ji-Dong Yang, Zhen-Chun Li, Su-Bin Zhuang, Qing-Yang Li
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引用方式：Dong-Lin Zhang, Jian-Ping Huang, Ji-Dong Yang, Zhen-Chun Li, Su-Bin Zhuang, Qing-Yang Li, A fast space-time-domain Gaussian beam migration approach using the dominant frequency approximation, Petroleum Science, Volume 19, Issue 4, 2022, Pages 1555-1565, https://doi.org/10.1016/j.petsci.2022.03.008.
文章摘要
Abstract: The Gaussian beam migration (GBM) is a steady imaging approach, which has high accuracy and efficiency. Its implementation mainly includes the traditional frequency domain and the recent popular space-time domain. Firstly, we use the upward ray tracing strategy to get the backward wavefields. Then, we use the dominant frequency of the seismic data to simplify the imaginary traveltime calculation of the wavefields, which can cut down the Fourier transform number compared with the traditional GBM in the space-time domain. In addition, we choose an optimized parameter for the take-off angle increment of the up-going and down-going rays. These optimizations help us get an efficient space-time-domain acoustic GBM approach. Typical four examples show that the proposed method can significantly improve the computational efficiency up to one or even two orders of magnitude in different models with different model parameters and produce good imaging results with comparable accuracy and resolution with the traditional GBM in the space-time domain.
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https://doi.org/10.1016/j.petsci.2022.03.008.