Application of GERT Network Planning in the Geostatistical Simulation Projects Management Structure – Case Study: Dali Cu-Au Porphyry Deposit

Since in exploratory works the number of collected data are much smaller than area of the study area therefore finding a strong tool for deposit spatial modelling with according to limited collected points is very important. According to study deposit characteristics different geostatistical simulation algorithms are presented with the ability to generate different models of deposits for the solution of this problem. The existence or absence of high skewness of exploratory collected data in study area is one of the reasons for using sequential indicator simulation method or sequential Gaussian simulation method. In this article according to the type of study activities of programing network graphical evaluation and review technique (GERT) for explorative projects management and creation a suitable model in use of sequential gaussian simulation and sequential indicator simulation were used. For implement the possible network activities used of geochemical data of Dali Cu-Au porphyry deposit. Comparison of SIS simulation results on gold data for high Skewness with results of SGS simulation on copper data for low skewness indicates correlation top of these two elements is the existence of Cu-Au porphyry resource along the NE-SW in in Dali area. The results adaptation of the survey method with geological evidence proved work steps.