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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Resources
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Co-kriging of log ratios: a worked alternative method | Clint Ward, Cliffs, Ute Mueller ECU
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Local Uncertainty Benchmarking – A coal case study | Written by C. Mawdesley, D. Barry, O. Bertoli and R. Saha
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Sensitivity study of the estimation variance approximation of a quotient | Comparison with Conditional Simulations in the Mn Deposit of Bangombé (Gabon)
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Data classification using geostatistical hierarchical clustering for robust and dynamic domaining
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Key Functionalities new module Studio RM 2016 | Presented by Olivier Bertoli at the UC2016 event organized in the UK by Datamine
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Application of Pluri-Gaussian simulations and conditional simulation for geological modelling and estimation of a nickel deposit in New Caledonia | Febvey, M C, Desassis, N, Le Guen, M and Isatelle, F, 2019 - Proceedings Mining Geology 2019, pp 135–149 (The Australasian Institute of Mining and Metallurgy: Melbourne)
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How the use of stratigraphic coordinates improves grade estimation | Rubio, Ricardo Hundelshaussen, Koppe, Vanessa Cerqueira, Costa, João Felipe Coimbra Leite, & Cherchenevski, Pablo Koury. (2015) - Rem: Revista Escola de Minas, 68(4), 471-477. https://doi.org/10.1590/0370-44672015680057
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Development of a Methodology combining Clustering and Conditional Simulation for the Definition of Underwater Sampling Models | Bandopadhyay, Sukumar, and Victor Tenorio. Proceedings of the 37th International Symposium on the Application of Computers and Operations Research in the Mineral Industry - APCOM 2015 (2015): n. pag. Print.
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Recoverable resource estimation for an underground manganese project using multivariate conditional simulation with scenario reduction
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Production reconciliation of a multivariate uniform conditioning technique for mineral resource modelling of a porphyry copper gold deposit