Mineral Resources Exploration Using AI.

Mining and Exploration for Mineral Resources

Mineral Exploration Using Modern Data Mining Techniques

Returns from gold exploration have been disappointing over the last 20 years, despite the surge in quality and quantity of exploration data. Historically, major discoveries have occurred in waves following the introduction of new methods. This paper argues that the new methods driving the next wave of discoveries will be found in recent developments in data mining techniques, including visualiz...

Mineral resources and geo-engineering

Metals used in everyday life are produced from ores occurring in the Earth’s crust. Geological processes are known to concentrate minerals to form ores of economic value. Mineral processing engineers concentrate these ores by mechanical and physico-chemical methods while the extractive metallurgist extracts the metals by chemical means.

Building up AI Resources as an AI Testbed

In this position paper, we will first give a short overview of our background and then propose to build up AI resources both as a service to the AI community but also as a testbed for AI techniques. In the last section we discuss some of our work on open learning repositories, specifically a recent OLR prototype built on meta-information stored as RDF metadata. 1 Interests and Experience Our gr...

Mineral Exploration Using GIS and Processed Aster Images

The risks of developing mineral resources need to be known as accurately as possible. This process should start at the exploration stage and continue through feasibility to the development stage. Until recently, this type of analysis was carried out manually, leading to subjective judgments. Many mining companies have built up extensive exploration geological databases, which represent signific...