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Walda et al. (2017)

J. Walda and D. Gajewski: A new implementation of conflicting dips in the common-reflection-surface method using differential evolution

Walda and Gajewski introduce an alternative method of detecting intersecting events in the common-reflection-surface method. The CRS method enhances the signal-to-noise ratio of stacked data significantly. Furthermore, its wavefront attributes can be used in appealing subsequent processing steps, in particular diffraction imaging and velocity model building. Increasing computational facilities research in recent years showed, that a simultaneous parameter estimation is nowadays feasible. Furthermore, it leads to more accurate CRS parameters compared to the pragmatic approach, introduced when CRS was published. This also made alternative methods of detecting intersecting events possible. Nevertheless are modern methods still expensive, in particular for 3D acquisitions since the search space was divided into smaller spaces where CRS has to be performed in each of the smaller spaces. In this paper, we use one application of CRS over the full search space and detect clustering at each iteration based on the dip angle or slowness. The application to 2D synthetic and field data shows promising results. The 3D case indicates issues with the acquisition footprint which needs further investigation.

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