Land seismic data are often irregularly sampled in space and are contaminated with various noises such as coherent noise and random noise. Thus, data preprocessing, such as noise attenuation, interpolation, static correction, etc., should be applied to land data. In this study, we propose applying seismic interferometry instead of applying preprocessing procedures such as data interpolation and elevation correction, for surface-related multiple elimination. With seismic interferometry, we can also improve signal-to-noise ratio at the same time. Several synthetic tests for acoustic and elastic (specifically vertical components of displacements) cases show that our method can be used to perform surface-related multiple elimination and to reconstruct data with higher signal-to-noise ratio without multi-step data preprocessing procedures. However, preprocessing procedures to remove surface waves and direct waves should still be applied.


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