Our investigation is devoted to using algorithm, which was worked out by authors for prospecting perspective zones on gold-cupper-porphyry type of mineralization based on analysis of informative feature search and their functional and correlation relationships.
The purpose of the offered technique is increase of informational content and reduction of redundancy of geological data. The method is based on search of predicting function which will allow constructing further bifurcation diagrams and prediction maps on gold mineralization type. The risk zones and detection probability of gold mineralization type shows on the prediction map. The predicting function approximates dependence of the predicting value from features. The risk areas are the different levels of probability of detection the ore body (when the search area decreases, the risks will increase). The risk allow identifying probability localization of small ore bodies and ore bodies with complicated geological structure. As the result, detection probability of gold mineralization zones can be estimated at 30%.
Authors have made system of classification and expected and search features gold-cupper-porphyry type of mineralization, and also the schemes of risk zones of possible ore distribution in the territory of Malouralskaya Square (the Polar Urals) is constructed.