Mining geostatistics

Mining is the original support of geostatistics.

Concepts and methods allowing to formalize and solve problems met at various steps of the mining evaluation are developed at the Department : grade control, mesh optimization, in situ resources cartography, recoverable reserves and selectivity forecast, study of operation scenarios or exploited grades fluctuations.

The Geostatistics group is carrying on its works on diamantiferous deposits in collaboration with De Beers on the topic of stone countings integration on various supports, sampling techniques, stone characteristics statistics, and exploration.

The group is also collaborating actively with the Chilean national company Codelco, the copper world leader, in further fields :

  • the probabilistic modelling of contacts between facies in Chuquicamata mine simulated by truncated Gaussian random function

and

  • the geostatistical approach of resources classification.

The group takes part in consortium M2RC (Multivariate Recoverable Resources Consortium) launched in 2006 by Géovariances (seven mining partners to date) to integrate operationally forecast tools for multivariable recoverable mining reserves developed by the Department.

Some groups of the Department contribute to works on "roll front" type uranium deposits on behalf of Areva. The aim is to get means for a global knowledge of the exploitation of this kind of deposit, from their geological structure to exploitation simulations by in situ leaching, through geostatistical realizations of deposit representations.

The Department also takes part in the exploration programme and in the first exploitation tests of the new uranium province in south-eastern Mongolia.