Study of Quantitative Prediction for Large- and Super-large-sized Gold Mineral Deposits in Xinjiang
Measurements that describe and summarize quantitative prediction relating to the classification of geological variables and samples derived from geochemical and geophysical data sets are important because of the large amount of information contained in such data. Theories and methods considered in mineral resource quantitative prediction include quantification theory, which is able to deal with data including quantitative variables and qualitative variables simultaneously, characteristic analysis and stepwise regression analysis. The quantification theory and characteristic analysis are been applied to qualitative research into and comprehensive delineation for the gold deposit concentrated regions and the anomaly regions in Xinjiang Province. Then the extended model is established in this paper. The research areas are divided into 16 model cells that contain gold deposits and 14 forecast cells that contain anomalies of element Au but dont contain gold deposits. There are two model cells that contain a large-sized deposit. The geological variables or factors are obtained by geological, geochemical and geophysical information. The mathematical model of quantification theory is built by these geological variables. The forecast results are given below: Cell number 22 and 19 possibly contain a large-sized gold deposit respectively. The method proposed in this paper can be applied not only to the gold deposit, but also to other deposits. In this sense, this method is universal in application.
Wei Shen
Laboratory of Resources Environment and Management, State Key Laboratory of Geo-Processes and Mineral Resources, China University of Geosciences, Xueyuan Road 29, Beijing 100083, China
国际会议
The 12th Conference of the International Association for Mathematical Geology(第12届国际数学地质大会)
北京
英文
789-794
2007-08-26（万方平台首次上网日期，不代表论文的发表时间）