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In regions with complex near-surface conditions, a significant part of the structural uncertainty is associated with the shallow part of the subsurface. This work presents a simplified but practical workflow to quantify the impact of near-surface modeling and imaging scenarios on structural maps. The method is based on a typical processing flow and can be implemented straightforwardly in a processing practice. Using a controlled synthetic example of the SEAM Arid dataset, we focus on the effects of the near-surface complexities of the desert environment. Specifically, we reveal the typical, expected structural uncertainty caused by static corrections approximation and time-to-depth mapping approach.