Making use of online production data: sequential updating of mineral resource models

DOI10.1007/S11004-014-9561-YzbMath1397.86024OpenAlexW2065590912MaRDI QIDQ1789093

Jörg Benndorf

Publication date: 10 October 2018

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-014-9561-y

zbMATH Keywords

Kalman filterconditional simulation in geostatisticsreal-time mineral resource modeling

Mathematics Subject Classification ID

Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08) Analysis of variance and covariance (ANOVA) (62J10) Software, source code, etc. for problems pertaining to geophysics (86-04)

Related Items (5)

A simulation-based geostatistical approach to real-time reconciliation of the grade control model ⋮ Optimizing infill drilling decisions using multi-armed bandits: application in a long-term, multi-element stockpile ⋮ Resource model updating for compositional geometallurgical variables ⋮ A rapid updating method to predict grade heterogeneity at smaller scales ⋮ Resource and grade control model updating for underground mining production settings

Uses Software

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Cites Work

• Forecasting recoverable ore reserves and their uncertainty at Morila gold deposit, Mali: an efficient simulation approach and future grade control drilling
• Conditional simulation of random fields by successive residuals
• Sequential kriging and cokriging: Two powerful geostatistical approaches
• Geostatistics
• Combining geostatistics and Kalman filtering for data assimilation in an estuarine system
• Geostatistics and Sequential Data Assimilation

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