1. In a digital computer, a method for predicting oil reservoir properties using one or more types of seismic data for the reservoir and one or more types of wellbore data for one or more oil wells in the reservoir, comprising the steps of: a) relating the seismic data to the wellbore data for at least one oil well to determine the approximate intersections of the seismic and wellbore data; b) estimating a significance of a match of one or more types of said seismic data to a type of wellbore data using said intersections to determine nonrandom matches between seismic data and wellbore data; c) calibrating the relationship between seismic data and wellbore data by training an Artificial Neural Network (ANN) using one or more of said nonrandom matches; and d) predicting a reservoir property using said trained ANN based on seismic data.