In case of onshore measurements, the recorded reflection events are usually degraded in quality due to traveltime distortions caused by the uppermost layer, the so-called weathering layer. These traveltime distortions can severely deteriorate the subsequent stacking process resulting in a stacked section of poor quality. Thus, the influence of the weathering layer on the reflection traveltimes is usually compensated by static corrections. The residual static correction accounts for small-scale variations in the weathering layer. The residual static correction (RSC) methods are of great interest to further improve not only the signal-to-noise ratio after stacking, they can also enhance the reflection event continuity. This is even of greater interest in the process of building a structural image of the subsurface.
In this thesis, a conventional RSC method is combined with the Common-Reflection-Surface (CRS) stack method which provides additional information about the subsurface by means of kinematic wavefield attributes. These CRS attributes parameterize a stacking surface within a spatial aperture rather than within the common-midpoint gathers, only. The CRS-based RSC approach is tested on synthetic and real datasets and the promising results are presented within the frame of this thesis.