A novel, fully automated surface-consistent solution for refracted waves, is developed to solve for a combination of long and short wavelength statics at the early stages of seismic data processing. The method is very efficient in terms of computing resources and dramatically reduces the turnaround time for deriving near-surface corrections. A new sorting domain for seismic traces in the common midpoint (CMP)-offset-azimuth (XYOA) domain enables the collection and the statistical analysis of large volumes of refraction data in terms of first break times (FB) and of early arrival waveforms. The theory for surface-consistent analysis of reflected waves is adapted to the case of refracted waves and applied in the XYOA sorting domain. The refraction-based surface-consistent approach is applied to different land surveys in central Saudi Arabia showing challenging near-surface conditions. The surface-consistent refraction approach is benchmarked against a near-surface tomographic solution from a commercial software package. Three examples corresponding to karsts, thick sand dunes and a wadi structure are analyzed. The automatic refraction surface-consistent solution always provides superior results when compared to the benchmark tomographic case. The surface-consistent refraction approach results in a new, fully automated and robust method to solve for near surface complexities.

Presentation Date: Monday, October 17, 2016

Start Time: 3:45:00 PM

Location: 150

Presentation Type: ORAL

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