The Deposit Modeling And Metallogenic Prognosis In Manjiazhai Tin Zinc Polymetallic Deposit, Dulong In Yunnan

Dulong tin polymetallic deposit is at the Southwest of Laojunshan granite metallogenic province in Yunnan province.China.It's another giant Tin-zinc-polymetallic Deposit after Gejiu in Yunnan and Dachang in Guangxi province. The complicated geological conditions and multiple phases of mineralization brought on great difficult to mining and also exploration in depth and margin area.With the use of Surpac mining software, the geological information of the ming area were collected.â‘ The Construction of Data Base on samples were completed, and the 3D models of bores and samples were established.â‘¡The 3D models of orebodies and related geological factors and Terrain were established.â‘¢The grade models of both tin and zinc elements were established, and the models were used in the integral optimization of open-pit mining.â‘£The grades distribution and the variograms of the tin and zinc samples were studied, the structural and stochastic rules of both grades were summarized, then the delineation of the prospecting targets were completed.As 3D Digitized Modeling and studying, we can get theoretical achievement as below:(1)In Manjiazhai deposit, the orebodies distributed along the Middle-Cambrian Tianpeng sedimentary beds. The trend of the orebodies occur nearly S-N and that's the same as ore-contrling foults F₀ and F₁, F₁ get through the orebordies and F₀ is the East boundary of the deposit. Yanshanian re-melted-type granite is riched in the oreforming elements, but the elements in the sediment above the granite wasn't rich as the granite emplacement upside, only the minor granite stocks formed in later period have a positive impact on the ore forming process.(2)Results of variance analysis show that the distribution of Zn and Sn have the common aspect of layered deposits, but the nugget of Zn in the down dip is abnormally high. A comparision of the modeling results with the traditional reserves calculation showed the accuration of the modeling.(3)The lower layer were rich in Sn and Ga, then to the upper was Ge, and Zn, In, Cd, Ag and Cu were at the uppest layers.(4)Results of Clustering Algorithm show that, Zn-Cd have a high relationship with Cu-Ag, and Sn-S with Ga-In, but Ge has a low relationship with the other elements.(5)The mineralization tendency of Sn is becoming higher from west higher to east and lower, Zn is higher from east to west.Construction of mine digitalization, and 3D model used in the optimization of open-pit mining and metallogenic prognosis, is a successful exploration of modern information technology used in the domain of geology.