SEISMIC DATA PROCESSING BASED ON COMMON-REFLECTION-SURFACE METHOD: A CASE STUDY USING OPEN SEISMIC DATABASE

Seismic reflection data have been widely utilized for sub-surface imaging. To improve the resolution of seismic image and the signal-to-noise ratio, various mathematical and computational methods have been proposed. In this study, we examine the common-reflection-surface stack method. Among various seismic data processing steps, stacking is the most fundamental step to amplify reflections and suppress unwanted signals. However, the conventional NMO/DMO stack method need precise macro-velocity model. In contrast, the common-reflection-surface (CRS) stack method is a completely data-based seismic imaging approach and requires only information of near-surface velocities. The CRS stack forms CRS super gathers by utilizing neighboring common-mid-point (CMP) gathers and and uses all pre-stack reflection data information. Thus, the CRS stack can improve the consistency of reflection event and hence the signal-to-noise ratio by increasing the coverage fold. in this study, we apply both the conventional NMO and CRS stacking to the publicly available marine seismic data, and compare the stacked results to demonstrate the differences and similarities between these two techniques.