An obstacle in geophysical exploration of different types of metallic ore deposits especially porphyry copper deposits is misleading anomalism in geophysical cross sections which is not related to economic zones of mineralization and frequently has intersected pyritic zones after drilling. In order to characterize economic anomalism in geophysical sections after inverse modeling, this research has utilized discriminant function analysis incorporating IP, RS, lithology and alteration into a linear statistical model to predict economic zones in IP/RS models. In this study results of inverse geophysical modeling of IP/RS data acquired from Chahfirouzeh, Nowchoon and Seridoon are integrated with other drilling information including Cu assays, lithology and alteration logs in order to discriminate high grade zones of commodity element (Cu). Available data for Chah-firouzeh comprise two IP/RS profiles and logging data of 26 boreholes, four IP/RS profiles over Nowchoon porphyry copper deposit in addition to 23 drilled holes and two IP/RS profiles and logging data of 5 boreholes for Seridoon. The research is founded employing linear discriminant function analysis in order to separate high grade zones of mineralization from low grade zones based on available exploration data. Firstly inverse modeling is completed on IP/RS data and 3D modeling has been continued on lithological and alteration data surveyed from drilled holes. Identical grids from IP/RS models, lithology and alteration models are extracted (5 by 5 m cells) as an input to discriminant function analysis over both of deposits. Discrimination is firstly accomplished by only IP/RS information which could not yield acceptable results. The alteration and lithological information were introduced to the models as new independent variables which were dramatically improved the correct discrimination. Linear discriminant model is characterized based on two and also multi 70%; MARGIN: auto auto 6pt; mso-add-space: auto" The statistical model developed for Chahfiroozeh yields 89 % and 86 % correct 0cm 0cm 0pt"
