Near Surface Velocity Estimation from Phase Velocity-Frequency Panels with Deep Learning

Summary We have trained a neural network to estimate the near surface Vs profile directly from phase velocity vs. frequency panels. These panels are constructed from the raw shot gathers with all the surface and body waves present. As such, the method has the same goal as dispersion curve inversion. The same approach is applicable to estimation of Vp also. The method has been tested on the SEAM Arid model synthetic dataset and produces encouraging results. Generalization of the method to unseen data remains a challenge, but by brute force modelling and training progress can be made.