MCMC Sampling and Geostatistics for Bayesian Geophysical Inversion

P158 MCMC SAMPLING AND GEOSTATISTICS FOR BAYESIAN GEOPHYSICAL INVERSION Abstract 1 SEOKHOON OH DUK KEE LEE JUNMO YANG and YONG-HOON YOUN Marine Meteorology & Earthquake Res. Lab METRI/KMA Korea This study presents a practical procedure for the Bayesian inversion of geophysical data by Markov chain Monte Carlo (MCMC) sampling and geostatistics. We have applied geostatistical techniques for the acquisition of prior model information and then the MCMC method was adopted to infer the characteristics of the marginal distributions of model parameters. For the Bayesian inversion of dipole-dipole array resistivity data we have used the indicator kriging and simulation techniques to