1. A computer implemented method of modeling a reservoir property of subsurface reservoir structure by support vector machine processing in the computer of input data available from the reservoir to form measures of the reservoir property at regions of interest in the subsurface reservoir by regression analysis of the available input data, the method comprising the computer processing steps of: (a) receiving training input data about subsurface attributes from seismic survey data obtained from seismic surveys of the reservoir; (b) receiving training target data about formation rock characteristics from data obtained from wells in the reservoir; (c) selecting formation attribute parameters for support vector machine modeling by cross-correlation of the training input data with the training target data; (d) optimizing the selected formation attribute parameters; (e) providing the training input data and the optimized selected formation attribute parameters as inputs for support vector machine modeling; (f) performing support vector machine modeling to predict the reservoir property based on the optimized selected formation attribute parameters; and (g) forming an output display of the predicted reservoir property.