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- Title
基于卷积自编码网络的夏河—合作地区 金矿定量预测.
- Authors
柳炳利; 谢 淼; 孔韫辉; 唐 瑞; 余正波; 罗德江
- Abstract
The Xiahe–Hezuo area of Gansu province has complex geological structures and abundant gold mineral resources, is an important metallogenic belt within the West Qinling Mountains. At present, a certain number of gold polymetallic deposits have been found in this area, and there is still a good prospecting potential of gold mineralization. Therefore, this paper uses the Xiahe–Hezuo area as a research area. Geochemical associations are quantitatively extracted by the method of compositional data analysis. Based on the geological structure and geochemical anomalies, multiple metallogenic information is integrated for building the mineral exploration model. And then, the Convolutional Auto-Encode network (CAE) method is used for regional gold resource prediction. Finally, 7 exploration targets are delineated. The result shows an excellent prediction performance (AUC=0.90), and the targets deserve further research.
- Publication
Acta Geoscientica Sinica, 2023, Vol 44, Issue 5, p877
- ISSN
1006-3021
- Publication type
Article
- DOI
10.3975/cagsb.2023.022801