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A standard imaging method in seismic data processing is the simulation of a zero offset section from seismic reflection data. In traditional imaging methods, e. g. NMO/DMO/stack, an accurate macro velocity model is needed. Common reflection surface (CRS) stack is a new data driven method, introduced in recent years which remove the necessity of making this model and just use the surface velocity to simulate zero offset section (2D) or volume (3D). In this article, we drive the CRS stacking on a synthetic data to o...

Making macro velocity model is the most important part in any seismic data processing system. It is a very time consuming and none accurate step in conventional methods like NMO/DMO/stack. In this article, we drive a velocity model for a synthetic data with new introduced tomographic inversion method. This method uses the kinematic wavefield attributes which would yield from common reflection surface (CRS) stacked data. These attributes are normal (N) wave and normal incidence point (NIP) wave curvatures. The tomo...