Modern seismic data acquired with dense high-channel count acquisition systems are very challenging to process, especially in the presence of a complex near surface or overburden. To address this issue, we develop a nonlinear beamforming algorithm for pre-stack data enhancement that searches for nonlinear local coherent events in the data and performs partial summation along the estimated trajectories. Nonlinear beamforming shows excellent results when applied to synthetic as well as challenging land data acquired in an arid environment. Specifically, it enables more robust estimation of pre-stack parameters as well as better imaging.

Presentation Date: Thursday, September 28, 2017

Start Time: 10:10 AM

Location: 360A

Presentation Type: ORAL

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