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.).
HEAR FROM OUR CUSTOMERS
"We've got excellent results with the clustering tool available in Isatis.neo. The domains created with Isatis.neo have been validated with the reconciliation of mined areas and the results of the technological studies."
Training very good in all aspects: organization, material, applicability of the methodology and technical knowledge of the consultant. We will certainly have more challenges and we know that we may count on you.
Geovariances technical support is personalized, which I really enjoy. Many software companies provide a totally impersonal "call center" type of support, which certainly discourages us to use the support and the software itself. Not Geovariances.
“I used Isatis for optimizing drillhole spacing. This saved considerably on drilling costs and on time.”
"Minestis is revolutionary in that it completely democratizes advanced geostatistics at the mine site with minimal input from a consultancy or head office. Combined with Isatis,these two software packages can add immense value to any company with concomitant minimization of risk"
WHAT IS HAPPENING IN YOUR INDUSTRY?
Geovariances trainers will collaborate with the I Workshop of Economic Geology organized by the University of Sao Polo...
Our Senior Mining Consultant Flavie Isatelle will talk about Geovariances at the Indonesian Economic Geology Society MGEI
This half-day of presentations will be an opportunity for the audience to discover Isatis's full capabilities.
Geovariances is pleased to provide the Indonesian Economic Geology Society MGEI with Isatis licenses for their workshop on advanced geosta...
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Co-kriging of log ratios: a worked alternative method | Clint Ward, Cliffs, Ute Mueller ECU
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
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