Fuzzy logic mineral potential mapping for copper exploration using multi-disciplinary geo-datasets, a case study in seridune deposit, Iran

摘要: This paper describes the application of knowledge-based fuzzy logic method to integrate various exploratory geo-dataset in order prepare a mineral prospectivity map (MPM) for copper exploration. Different geophysical layers which are derived from magnetic and electrical surveys, along with ones extracted background geology (i.e., lithology, fault alteration) geochemical data incorporated such process. Seridune deposit located Kerman province Iran is case study delineate its high potential zones Cu-bearing mineralization drilling additional boreholes. Four involving upward continuation, analytic signal, reduced pole pseudo gravity assigned multi-disciplinary locate intrusive complexes responsible Cu mineralization. The apparent resistivity, chargeability sulfide factor acquired geo-electrical also included final preparation MPM. Then normalized weights seven geophysical, three geological one evidential as main criteria determined based upon knowledge expert decision makers. Fuzzy operators Sum Gamma) applied these features. To evaluate performance applicability approach, productivity drilled boreholes (Cu concentration multiplied by ore thickness) used validate produced MPMs. It shown that an optimum correlation coefficient 0.86 exists between MPM values criterion