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Near-Surface Bayesian First-Arrival Tomography with Uncertainty using Natural Neighbor Interpolation
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 82nd EAGE Annual Conference & Exhibition, Oct 2021, Volume 2021, p.1 - 5
Abstract
Various velocity parameterizations are used in Bayesian first-arrival tomography. We conduct a short review of the existing approaches and suggest the natural neighbor interpolation as a viable alternative. This parameterization possesses numerous useful properties. It provides naturally smooth models, which is particularly suitable for a refraction setting. It does not need any specific treatment at model boundaries, and, finally, does not need any additional parameters apart from velocities defined on a set of nodes. We compare this parameterization with a more conventional linear barycentric approach on a synthetic near-surface seismic dataset. The comparison shows that natural neighborbased tomography results in a more accurate estimation of seismic velocity inside the near-surface low-velocity anomaly and provides a lower estimate of velocity uncertainty in the whole model.