Abstract
Both categorical lithology and fluid classes and continuous rock properties can be predicted from seismic amplitude data given a rock physics model. However, the uncertainty of such predictions may be high, and the uncertainty should therefore always be assessed. We here present a fast Bayesian inversion method for lithology, fluid and rock property prediction from prestack seismic data. The main objective of the inversion is to find the probabilities for different lithology-fluid classes from seismic data and geological knowledge. The method combines stochastic rock physics relations between the elastic parameters and the different lithology-fluid classes with the results from a fast Bayesian seismic simultaneous inversion from seismic data to elastic parameters. The method is illustrated on a prospect offshore Norway.
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