| Autor: |
Fan Yang, Shuyun Xie, Zhihong Hao, Emmanuel John M. Carranza, Yuntao Song, Qingqing Liu, Renting Xu, Lanshi Nie, Wei Han, Chengwen Wang, Qiaolin Wang |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Minerals; Volume 12; Issue 4; Pages: 434 |
| ISSN: |
2075-163X |
| DOI: |
10.3390/min12040434 |
| Popis: |
Studying surface geochemical anomalies is important for detecting the presence of mineral deposits. However, distinguishing inconspicuous geochemical anomalies is a challenge for geochemists. This paper studies geochemical quantitative prediction for Pb–Zn metallic mineral deposits by identifying inconspicuous surface geochemical anomalies mainly associated with the Permian and Jurassic strata in the middle-southern Da Hinggan Mountains metallogenic belt. Some new methods are employed to highlight weak surface geochemical anomalies. The weak surface geochemical anomalies of Pb and Zn are effectively highlighted by the average contrast values of Pb–Zn–Ag–Cd. The similarity coefficient with the large typical discovered deposits is used to identify new Pb–Zn mineralized anomalies and delineate new prospecting target areas. The denudation degree of mineral deposit is determined by the ratio of (W × Sn)/(As × Sb). The analogy method and areal productivity method are employed for resource prediction. Thirty-six prediction areas with Pb–Zn resources of 307.73 million tons are delineated. Five prediction areas are verified, and some new mineral deposits are proven by drilling. The verification results show that the predicted resources are very reasonable and credible. This paper is a successful case of quantitative prediction assessment of mineral resource potential, which can be used as a reference for future prospecting activities. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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