This report describes the preliminary re.wlts of surficial geological mapping during the 1992 field season in the Chilanko Forks (93Cil) and Chezacut 193CiX) map areas (Figure 4. IO-1 ). As part of the Canad;~ f3ritish Cofumhia Mineral Developme~~t Agreement, the British Columbia Geological Survey Rranch proposed to map the surlicial geology of these weiis to deriw drift exploration potential m...

We briefly review the state-of-the-art machine learning (ML) algorithms for mineral exploration, which mainly include random forest (RF), convolutional neural network (CNN), and graph (GCN). In recent years, RF, a representative shallow algorithm, CNN, deep approach, have been proved to be powerful tools ML-based mapping exploration. future, GCN deserves more attention exploration because of it...

This paper is a preliminary exploration on the attribution system of mineral energy ownership of China. In this article, mineral energy is broken down into two categories, namely, the energy minerals and the products of energy minerals. Subsequently, this paper further elaborates and makes a pectination to the energy ownership system according to the mode of acquisition of the two types of mine...

Quantitative analysis of geoscientific data to determine the areas most likely to contain mineral deposits is becoming increasingly common in the mining industry. The approach is based on characterising areas known to contain deposits and seeking similar areas elsewhere. This paper presents an automatic image processing technique for the prospectivity analysis of Archaean lode gold deposits, wh...