The main aim of this study is the identification of potassic, phyllic and propylitic alteration zones in the hypogene zone of the Sungun Cu porphyry deposit (NW Iran) based on drillcore data, utilizing sequential geostatistical simulation (SGS) and concentration-volume (C-V) fractal model. C-V Log-log plots were generated for results obtained by 10 realizations and the average of those ... [Show full abstract] realizations (E-type) which used for determination of Cu threshold values for the alteration zones. Based on correlation between geological models and the results derived via SGS and C-V fractal modeling by logratio matrix, the propylitic zone has Cu values < 0.005% resulted by simulation number (sim) 1, 5 and 9 with overall accuracy (OA) of 0.94. Additionally, the phyllic alteration contents Cu values between 0.25% and 0.63% with OA of 0.70 which is delineated by E-type. Moreover, a correlation between C-V fractal modeling of realizations and the potassic alteration zone derived via the geological model reveals that this alteration zone has Cu values higher than 2.23% (sim 1, 5 and 9) with OA of 0.816. The results of this research reveal that phyllic alteration due to having many existing geological samples with the grades close to the average ore grade (0.44%) of the Sungun deposit has a proper overlap with E-Type however; potassic and propylitic alterations containing of the highest and lowest ore grades have the strong overlap with sim 1, 5 and 9.