a system and method for predicting oil reservoir properties throughout the reservoir using well data and seismic data . while the reservoir properties in the vicinity of a well borehole are usually known , the reservoir properties between wells are unknown and difficult to estimate . because the relationships between reservoir properties and seismic data is seldom obvious , the method uses artificial neural networks to estimate these relationships . first , the method calculates the intersections between the seismic data and wellbore date , i . e . seismic reflectors are correlated to geological markers in the wellbores . second , the method estimates the significance between seismic attributes and borehole properties . next , the method models or calibrates the relationship between reservoir properties and seismic attributes by training an ann using seismic attributes and wellbore data close to the intersections . finally , the trained ann uses the seismic attributes to predict the reservoir properties between wells . advantageously , statistic methods are used to estimate the confidence of the predictions .