贾晓峰
开通时间:..
最后更新时间:..
点击次数:
摘要:Reverse time migration (RTM) is a powerful seismic imaging tool that suffers from high computational complexity when dealing with massive data. The simultaneous-shot method can effectively reduce the amount of migration by assembling several sources, although it adds crosstalk noise, which seriously affects the quality of the RTM results. To avoid this problem, we have adopted a time-domain scheme that combines time-delay encoding and amplitude encoding to reduce crosstalk artifacts in simultaneous-source imaging results. This scheme modulates the wavefields of multiple sources to fit the wavefield of a suspended super-virtual shot (SVS), which can eliminate crosstalk artifacts because they are absent in single SVS migration. Numerical examples on a steeply dippingmodel and the 2D SEG/EAGE salt model show the feasibility of the proposed method. SVS encoding can generate a qualified imaging result and takes less time than plane-wave encoding in the migration process.
是否译文:否
上一条:Yaxing Li, Xiaofeng Jia(*), Xinming Wu and Zhicheng Geng, 2022, Deep learning for enhancing multisource reverse time migration, IEEE Transactions on Geoscience and Remote Sensing, 60: 4512313.
下一条:Yaxing Li and Xiaofeng Jia(*), 2020, High-SNR staining algorithm for one-way wave equation-based modelling and imaging, Communications in Computational Physics, 28: 187-206.