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A combined teqnique to predict reervoir properties from seismic inversion results is considered. Classification methods, multiple regression models and neural networks are employed to obtain predicted values of reservoir properties. A case history of porosity prediction, confirmed by subsequent drilling and geophysical survey, is provided.