Geostatistics for Mineral Resource Estimation
Geostatistics is the most efficient and powerful framework to characterise, estimate and manage your mineral resource.
Geologists or mining engineers can apply geostatistics at all stages of the mine life cycle: from exploration to development, production and even for site remediation. Geostatistics offers a wide range of methodologies adapted to all commodities and styles of deposits.
Geovariances’ scientific rigour, continuous innovation and geostatistical expertise guarantee the quality of your evaluations at different stages of the development of your projects (feasibility studies, bankable studies, desktop reviews, etc.).
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HEAR FROM OUR CUSTOMERS
"J'ai beaucoup apprécié l'expertise en formation de Geovariances lors d'une première expérience d'un cours organisé à Institut des Sciences de la Terre à Dakar sur l'estimation des ressources minérales."
"Minestis reconciles in a dynamic way the geological and the geostatistical block models. The software brings important innovations in data analysis, modeling, resource / reserve estimation and taking into account geological uncertainty."
"Minestis structured workflow combined with Geovariances tailored support has made conditional simulations accessible to a broad range of users and increased their use."
"Minestis, excelentes ferramentas de geoestatística e eção de análise grupal, com uma incrível ferramenta que permite identificar e usar os agrupamentos amostrais homogêneos"
"Isatis maintenance contract gives us easy access to innovation which improve our day-to-day work and the possibility to guide the software developements according to our needs. Ore valorization, selective exploitation,..."
WHAT IS HAPPENING IN YOUR INDUSTRY?
With the "Sampling Density Variance" tool, Isatis proposes an innovative methodology allowing robust resource classification, independant ...
Geovariances is pleased to provide Isatis licenses to all participants of Dr. Abani Samal's geostatistics short course at SME Annual Confe...
Get a Minestis one-year license for free with the purchase of one licence. Take advantage of the offer now, it is limited in time.
Local Uncertainty Benchmarking – A coal case study | Written by C. Mawdesley, D. Barry, O. Bertoli and R. Saha
Sensitivity study of the estimation variance approximation of a quotient | Comparison with Conditional Simulations in the Mn Deposit of Bangombé (Gabon)
Data classification using geostatistical hierarchical clustering for robust and dynamic domaining
Key Functionalities new module Studio RM 2016 | Presented by Olivier Bertoli at the UC2016 event organized in the UK by Datamine
Geological interpretation of lithofacies border effects curves for the Wallon Subgroup, northeastern Surat Basin, QLD, Australia | Presented at Geostats Rendezvous - Perth 2013 - Feb. 2013 by S. Hamilton (University of Queensland), N. Desassis (Mines ParisTech)
Recoverable resource estimation for an underground manganese project using multivariate conditional simulation with scenario reduction
Production reconciliation of a multivariate uniform conditioning technique for mineral resource modelling of a porphyry copper gold deposit
Application of nonlinear geostatistical indicator kriging in lithological categorization of an iron ore deposit
Multivariate block simulations of a lateritic nickel deposit and post-processing of a representative subset
Modeling the Geometry of a Mineral Deposit Domain with a Potential Field