Integrated Information Metallogenic Prediction Of Carlin-type Gold In Fuyuan, Yunnan

ShengJing Guan–Dong Pu Gold in Fuyuan County, Yunnan Province is oneimportant part of "Golden Triangle" in DianQianGui Carlin-type gold mineralizationprospect area ,which determine up after the implementation of"The Eighth 5-yearplan"exploration program . Some gold deposits (points) have been discovered at theMine and its surrounding Since the discovery of ShengJing Guan gold , showing goodprospects, and now, how to find a large gold deposit in this area has become anproblem which urgent need to address.In this dissertation, the author integrate the regional geological background,geophysical characteristic, geochemical characteristic ,placer exception and remotesensing characteristic, deposit geological characteristic , regionalmetallogenic regularity , based the integrated information exploring model,assessment mineral resources in study area by using characteristic analysis method,and filter the prediction target and the corresponding evaluation in this workspace.The mainly researches content and conclusion of the dissertation are that as following.1. The gold deposits 's type in this study area is Carlin-type, mainly due to theMesozoic and Cenozoic Fuyuan - Mile basement faults - magma - liquid andoverlying strata nappe fold - fracture deformation structure, strike-slip fault combinedeffects, ore bodies are hosted in the tuff basalt and tuffite ,they are in the lower part ofbasalt Formation, which above of the unconformity contact surface of basalt inPermian and underlying limestone .2. Based on the information extraction of geophysical anomaly, geochemicalanomaly, heavy mineral anomaly and remote sensing anomaly, and stack theanomalies with the known gold points, after the statistical analysis of GIS methods, Ifound that there is significant relationship between the known gold deposits and theanomalies, such as the surface of unconformity between the Emeishan basalt andMaokou limestone, 1km buffers of NS fractures, 1km buffers of NNE fractures,1.5km buffers of NNW fractures, 0.5km buffers of NW fractures, geochemicalanomalies of Au, geochemical anomalies of Hg, geochemical anomalies of As. By calculating the weight of the anomalies , I found that the surface of unconformitybetween the Emeishan basalt and Maokou limestone,, gold anomalies and fractureshave the biggest weight, Shows its importance for the mineralization, and the NSfaults are better than the NW faults, the results of this statistical analysis areConsistent with metallogenic regularity .3. Finally ,the prediction of undiscovered mineral deposits provide 17 targetareas, which has been classified with 3 levels of A,B,C. The A-level target areasoccupies the first place, all the important mineralization elements are present, theprediction of evidence are sufficiency, and highly fit to the mineralization, it issuggestion that we should giving priority to the exploration. The B-level target areacomes second, most of the important mineralization elements are present, it can beused to the exploration area. For the C-level target areas , both of the prediction ofevidence and the matching degree of mineralization are in the acceptable range,amount of geological survey work can be arranged.