Abstract
P220 BAYESIAN JOINT INVERSION OF GEOPHYSICAL DATA Summary 1 A new method for the joint inversion of geophysical data based on the Bayesian framework has been developed. Contrary to the traditional joint inversion that simply incorporates two different kinds of observed data into one sensitivity matrix a probabilistic approach has been devised to infer and appraise a posteriori structure of final estimation. Geostatistical techniques especially kriging and simulation were used to implement a priori information usually difficult to deduce. An application of this technique to the gravity and resistivity data for finding the lava tunnel was performed and the analysis
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