Seismic Inversion Results for Prediction of Properties of Complex Reservoirs

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.