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08 April 2019 | Story Valentino Ndaba | Photo Valentino Ndaba
Andrew Lane
Mining the fourth industrial revolution way is the future says industry expert, Andrew Lane.

Innovation is imperative for the future of mining in South Africa. Industry expert, Andrew Lane proposes that leveraging on new information, mining technologies and energy knowhow, which are the hallmarks of the fourth industrial revolution, should set the scene for success.

Lane who is Africa Energy and Resource Leader at Deloitte, engaged students at a recent guest lecture hosted by the University of the Free State’s Business School on the Bloemfontein Campus. “The future is intelligent mining. It’s not just about technology; it’s about changing the way you do business,” he said.

Transforming traditional to trailblazing
“What gives you sustainable competitive advantage is the rate at which you innovate,” said Lane. Design paradigm shifts in the South African mining industry may have resulted in about 100 000 job losses during the past four years. However, mining companies stand to achieve significant gains through applying innovation.

Despite most of South Africa’s mines nearing the end of their lives, mining remains a large employer and investor attractor which ensures that the country holds a competitive advantage in the global economy. Lane is adamant that, “even though we have declined from 20% to 5% in terms of GDP contributions, mining remains a large contributor to export earnings”.

Reaching resource-rich regions
While some physical resources are inaccessible using current technology, “new mineral-processing technologies help tap into previously uneconomical mineral deposits”, according to Lane. In addition to the environment, 3D visualisation cameras can track employees and equipment in the bowels of the earth.

More mining, less loss
Integrating mining, energy, and information technology will ensure that companies reduce people, capital and energy intensity, while increasing mining intensity. The impossible can be achieved if technology is used well for developmental outcomes, employment, and improving standards of living.



News Archive

Dr Abdon Atangana cements his research globally by solving fractional calculus problem
2014-12-03

 

Dr Abdon Atangana

To publish 29 papers in respected international journals – and all of that in one year – is no mean feat. Postdoctoral researcher Abdon Atangana at the Institute for Groundwater Studies at the University of the Free State (UFS) reached this mark by October 2014, shortly before his 29th birthday.

His latest paper, ‘Modelling the Advancement of the Impurities and the Melted Oxygen concentration within the Scope of Fractional Calculus’, has been accepted for publication by the International Journal of Non-Linear Mechanics.

In previously-published research he solved a problem in the field of fractional calculus by introducing a fractional derivative called ‘Beta-derivative’ and its anti-derivative called ‘Atangana-Beta integral’, thereby cementing his research in this field.

Dr Atangana, originally from Cameroon, received his PhD in Geohydrology at the UFS in 2013. His research interests include:
• the theory of fractional calculus;
• modelling real world problems with fractional order derivatives;
• applications of fractional calculus;
• analytical methods for partial differential equations;
• analytical methods for ordinary differential equations;
• numerical methods for partial and ordinary differential equations; and
• iterative methods and uncertainties modelling.

Dr Atangana says that, “Applied mathematics can be regarded as the bridge between theory and practice. The use of mathematical tools for solving real world problems is as old as creation itself. As written in the book Genesis ‘And God saw the light, that it was good; and divided the light from the darkness’, the word division appears here as the well-known method of separation of variables, this method is usually employed to solve a class of linear partial differential equations”.

“A mathematical model is a depiction of a system using mathematical concepts and language. The procedure of developing a mathematical model is termed mathematical modelling. Mathematical models are used not only in natural sciences, but also in social sciences such as economics, psychology, sociology and political sciences. These models help to explain systems and to study the effects of different components, and to make predictions about behaviours.”

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