Department Of Metallurgical And Mining Engineering 1
1. Mapping hidden risks in mine tailings: A multi-variable geostatistical framework for environmental management
2. Comparing the accuracy of two approaches to account for internal dilution: A case study from a porphyry copper deposit
3. Spatio-temporal geostatistical modelling of sulphate concentration in the area of the Reocín Mine (Spain) as an indicator of water quality
4. Application of geostatistical hierarchical clustering for geochemical population identification in Bondar Hanza copper porphyry deposit
5. Enhancing Multivariate Geostatistical Simulation in Mine Tailings Using the Projection Pursuit Multivariate Transform and Coregionalization Analysis
6. Geostatistical modeling of heterogeneous geo-clusters in a copper deposit integrated with multinomial logistic regression: An exercise on resource estimation
7. Integrating soft data into geostatistical modeling of geometallurgical variables: Implications for modeling the copper oxide ratio in copper porphyry deposits
8. Integration of dual border effects in resource estimation: A cokriging practice on a copper porphyry deposit
9. Joint simulation of cross-correlated ore grades and geological domains: an application to mineral resource modeling
10. Geostatistical Algorithm Selection for Mineral Resources Assessment and its Impact on Open-pit Production Planning Considering Metal Grade Boundary Effect
11. Optimising the placement of additional drill holes to enhanced mineral resource classification: a case study on a porphyry copper deposit
12. A Stepwise Cosimulation Framework for Modeling Critical Elements in Copper Porphyry Deposits
13. Hybrid machine learning and factor-based simulation for geostatistical modelling of residual resources in a tailings storage facility
14. Plurigaussian modeling of non-stationary geological domains to assess geological uncertainty in a porphyry copper deposit
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