Abstract: The conventional method of migration-based geometry design is accurate and illustrative for target analysis. However, routine migration cannot be accomplished without high-performance computers and a lot of computation time for wavefield modeling. To improve the time-efficiency and accuracy of assessing seismic geometry design, particularly for a survey with complicated surface and subsurface conditions, we develop a seismic geometry evaluation method based on fast migration. This method involves point spread function computation and convolution in a higher-dimensional space. Specifically, the Hessian approximate operator is derived quickly from a preset model and a recording geometry, and then convolves with the reflectivities of the model (indicating the information of large wave numbers) in a higher-dimensional space, for subsurface imaging with high efficiency. Moreover, the imaging effects at varying folds, bin sizes, aspect ratios and trace densities are comparatively analyzed. The proposed method has been successfully applied to the geometry evaluation in southwest surveys with steeply dipping structures, northwest surveys with fractured-vuggy reservoirs, and the South China Sea with complex fault blocks.