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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"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,..."
"The competence of the Support team at Geovariances adds an essential benefit to the Isatis maintenance contract. A resolution to any problem, be it installation, software or data-related is usually forthcoming in less than 24 hours and mostly just a few hours..."
"La capacitación en “Geoestadística para la Estimación de Recursos” presenta una gran relevancia en el desarrollo de nuestras tareas diarias como profesional, complementando tanto el aprendizaje del software, como depuraciones en el conocimiento de la Geoestadística."
"O Isatis permite uma abordagem científica para a analíse exploratoria de dados, avaliação e classificação de recursos minerales que permite confiabilidade e consistencia."
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Want to know more about Minestis, the software which gather in a single coherent workflow geological and resource modeling? Ask for your d...
Don't miss the opportunity to attend our short course: "Non-Linear Geostatistics with an emphasis on Localised Uniform Conditioning (LUC)"...
See how easy it is to define the best kriging neighborhood for quality mineral resource estimates with Kriging Neighborhood Analysis, a po...
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)
Pre-exploitation mesh optimisation in a Nickel deposit (New Caledonia) | Presented at Geostats Rendezvous - Perth 2013 - Feb. 2013 by J. Deraisme (Geovariances), O. Bertoli (Geovariances), J. Michaud (SLN)
Optimisation grade control procedures at the open pit mines: Geostatistical approach | Presented at Geostats Rendezvous - Perth 2013 - Feb. 2013 by Dr. M. Abzalov (Rio Tinto)
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