This internet browser is outdated and does not support all features of this site. Please switch or upgrade to a different browser to display this site properly.

Mining, Minerals and Resource Projects

The Curtin Institute for Data Science is supporting partners from academia, industry, and government across various sectors such as, health sciences, astronomy, agriculture and aquaculture, manufacturing, transport with their data science, software development, and computational needs.

At present, the Institute would typically contribute to 30-40 research projects per annum, working with over 50 external organisations.

BHP; Resources Technology and Critical Minerals Trailblazer

Digitising Mining Features

Validating drill patterns is essential for ensuring safety, operational efficiency, and cost control in large-scale mining operations. To improve current practices, we developed a phased automation strategy designed to enhance safety, increase accuracy, and improve verification rates. This approach freed personnel from high-risk field verification tasks, improved operational efficiency, and provided BHP with a data-driven means of monitoring equipment performance.

Digitising Mining Features