Abstract: At present，the drilling analysis data of Cu-polymetallic ore present as a ribbon，with the interaction of multi-metal.When using the classical Co-Kriging method to conduct interpolation analysis of the data distribute as a ribbon，it is apt to occur that the weight of endpoint data become too large，called as banded effect.In order to reduce the effect of banded effect in the process of data interpolation，based on the Co-Kriging method，a interpolation method for reserves estimation of the banned Cu-polymetallic deposit is proposed，that is the Co-Kriging method with calibration weights.Firstly，the original drilling data is processed by statistical analysis，specific values and composite samples，the weight coefficients with banned effect are analyzed in detail; then，the Quasi-Newton method is adopted to calibrate the weight values obtained by the Co-Kriging method.Taking the drilling grade data of 2012 Tibet Jiama copper polymetallic exploration engineering as an example，the reserves of the copper polymetallic deposit is estimated，in particular，Cu grade is regarded as the main regionalized variable and Ag grade is regarded as the synergy regionalized variable to calculate the experimental variation function and cross experimental variation function of Cu and Ag respectively.Besides that，the interpolation results of the Co-Kriging method and Co-Kriging method with calibration weights are analyzed.The research results show that the performance of the Co-Kriging method with calibration weights is superior to the classical Co-Kriging method，and it has some reference for geological attribute analysis and reserve estimation of Cu-polymetallic deposit.

Key words: Reserves estimation, Co-Kriging method, Banded effect, Quasi-Newton method, Weight calibration