研究目的
To develop an optimized space-time Gaussian beam approach with dynamic parameter control for seismic depth imaging, improving imaging quality and computational efficiency.
研究成果
The developed space-time adaptive Gaussian beam method demonstrates superior accuracy for seismic depth imaging in both shallow and deep regions compared to conventional methods. It improves wavefield extrapolation accuracy and imaging resolution, especially in areas with strong lateral velocity variations.
研究不足
The method's accuracy and computational efficiency are influenced by the initial beam parameters and the complexity of the velocity field. The study is limited to 2D acoustic media, and extension to 3D or more complex media is suggested for future research.
1：Experimental Design and Method Selection:
The study employs an optimized space-time Gaussian beam approach with dynamic parameter control for seismic depth imaging. The methodology includes the development of a dynamic beam parameter expression considering velocity field variation effects on beam forming.
2：Sample Selection and Data Sources:
The study uses synthetic seismic data from a 2D horizontal layered media model and the Marmousi1 model to test the method.
3：List of Experimental Equipment and Materials:
The study utilizes computational resources for numerical experiments, including a workstation with 40 Intel Xeon dual-core processors.
4：Experimental Procedures and Operational Workflow:
The forward wavefield is constructed using space-time adaptive Gaussian beams, and the backward wavefield is computed via up-going ray tracing from subsurface imaging points to the receiver surface. The imaging condition is applied to obtain the subsurface image.
5：Data Analysis Methods:
The study compares the imaging results of the new method with conventional space-time Gaussian beam migration, analyzing resolution and computational efficiency.
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