Probabilisitic estimation of uncertainties for 2D and 3D refraction seismic tomographic models

The goal of this project is to improve the efficiency of fully non-linear Markov chain Monte Carlo methods to obtain quantitative estimates of uncertainty for the inverted model parameters. We investigate the potential of multi-variate perturbations obtained propagating a random perturbation through the Resolution matrix. The project is funded by FWF.
Duration: 9/2011 - 8/2016
Personnel: C. Tauchner, BSc

Mean model of a Mc from synthetic data
Probability density at x=60