N-35 BAYESIAN LOOK-AHEAD INVERSION OF WALKAWAY VERTICAL SEISMIC PROFILES Summary 1 We describe a method to invert a walkaway VSP (WVSP) data set and predict VP VS and density below a receiver. We use a Bayesian approach where one first sets a prior distribution for VP VS and density based on information from nearby well logs (which contain information on the overall variability of and correlations among VP VS and density) and on the normal moveout in the WVSP data (which contain information on the long-wavelength variation of VP). We then obtain a posterior distribution of VP VS and density


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