The complex near-surface and sub-surface conditions of the Yingxiong Mountains result in seismic data with poor signal-to-noise ratio (S/N) and difficulties for field operations. High fold geometry is an effective method to improve the quality of poor S/N data in complex mountain regions. However, high fold geometry design requires multiple physical point numbers, which increases the difficulty of field operations, as well as the cost. To address these problems, a macro-bin stacking technique was adopted. In this paper, we introduce the basic principles and adaptive application conditions of the macro-bin stacking technique, and utilize forward modeling to test the validity of the method. The results of the real application show that a macro-bin stack technique is an effective and feasible means for seismic prospecting in the complex mountainous areas.


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