MinE 613
Non-Parametric and Multivariate Geostatistics
Description
Cell-based geology modeling methods include indicator formalism for categorical data and truncated Gaussian simulation. Object-based and process-based approaches for fluvial reservoirs. Indicators for continuous variable estimation and simulation. Multivariate geostatistics, including models of coregionalization, cokriging, Gaussian cosimulation, Markov-Bayes simulation and multivariate data transformation approaches. Introduction to advanced simulation approaches including direct simulation, simulated annealing and multiple point simulation.Learning Outcomes
Understand the importance of categorical variable modeling in mineral resource and mining reserve calculationsExplain the relevance and procedures for multivariate rock property modeling
Describe the sequence of steps required for constructing a comprehensive geological, geomechanical and geometallurgical model
Review the place of different techniques for different purposes
| Lecture | Seminar | Lab | Credits | Total AU |
|---|---|---|---|---|
| 3 | 1/1 | 0/1 | 3.5 | 44.1 |
| M % | NS % | CS % | ES % | ED % |
|---|---|---|---|---|
None defined
None defined
No Files Uploaded
Undergraduate Program(s)
Sections & Respective Instructors
| B1 - 2023/2024 - Winter - Jeffery Boisvert |
| B1 - 2022/2023 - Winter - Oktay Erten & Gamze Erdogan Erten |
| A1 - 2020/2021 - Fall - Clayton Deutsch |