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Artificial Intelligence for Mining: Developing an AI Framework for SA Mining

A coordinated process to ensure responsible uptake of AI, roll-out and use by the South African mining sector    Overview: AI is an unavoidable reality, and it is here to stay. South Africa, including the mining sector, must prepare for it. With this in mind,...

Introducing Mine-Ahead: A Revolutionary 21st Century Business Development System

Overview: Minserv was tasked by the Mandela Mining Precinct to develop a policy framework for a mining sector response to Artificial Intelligence. Parallel to developing a Framework Document using traditional policy-making principles, the company realised the benefit...

Modelling and analysis of the Brumadinho tailings disaster using advanced geospatial analytics

Paper in the Journal of the Southern African Institute of Mining and Metallurgy   Synopsis: On 25 January 2019, one of the most significant and deadliest tailings dam failures in history occurred at Brumadinho Córrego do Feijão iron ore mine in Brazil. Twelve...

A conceptual digital framework for near real-time monitoring and management of mine tailing storage facilities.

From Book: Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining   Abstract: The demand for mineral products is doubling every 30 to 40 years. With a growing world population, mineral product supply must keep up with...

Development of interactive dashboards and intelligent data analytics for visual decision-making in the underground mining environment: The Sterkfontein Cave Case Study

Paper published in the 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST)   Abstract: In the 21st century, the advancements of computing, Internet of Things and wireless communications are enabling mining companies to collect a...
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