Estimation of residual static time shifts by means of the CRS-based residual static correction approach

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Reflection seismic measurements are crucial for investigating the earth's interior and obtaining structural images of the subsurface, which can be interpreted to locate hydrocarbon reservoirs and develop natural energy sources like geothermal energy. Onshore measurements often suffer from quality degradation due to traveltime distortions in the weathering layer, negatively impacting the stacking process and resulting in poor-quality stacked sections. To mitigate this, static corrections are applied, with residual static corrections (RSC) addressing small-scale variations in the weathering layer. RSC methods are essential for enhancing the signal-to-noise ratio and improving reflection event continuity, which is vital for constructing accurate subsurface images. This thesis explores a novel approach that combines a conventional RSC method with the Common-Reflection-Surface (CRS) stack method, which utilizes kinematic wavefield attributes to provide additional subsurface information. Unlike traditional methods that rely solely on common-midpoint gathers, the CRS attributes parameterize a stacking surface within a spatial aperture. The effectiveness of this CRS-based RSC approach is evaluated using both synthetic and real datasets, with promising results presented in the thesis.