Seimic data redatuming is important to remove adverse effects of the overburden and save computational cost for deep target-oriented migration and inversion. Least-squares redatuming (LSR) method has been proposed to suppress acquisition footprints, given the priori information of a macrovelocity model. However, there are few works to investigate the effect of the overburden fine structures on seismic redatuming. By splitting the entire subsurface medium into the overburden and underlying parts, we can regard the redatuming as a two-parameter inverse problem. It means that the overburden reflectivity and the virtual data on the datum are estimated in sequence or simultaneously. The synthetic examples show that this LSR method can improve the accuracy and resolution of the redatumed seismograms.

Presentation Date: Tuesday, October 13, 2020

Session Start Time: 9:20 AM

Presentation Time: 9:20 AM

Location: Poster Station 6

Presentation Type: Poster

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