MinE 641
Discrete Event Simulation
Description
Advanced methods for the modeling of heterogeneity, quantification of uncertainty and management of risk. The theory and place of historical and advanced methods in geostatistics. Matrix methods, alternative variogram measures, kriging with a trend, dual kriging, spectral simulation, direct simulation and multiple point statistics.Learning Outcomes
Understand the importance of geological heterogeneity modeling for resources and reservesDescribe the sequence of steps required for constructing a fit-for-purpose geostatistical model
Appreciate how to calculate, interpret and model a variogram for spatial variability quantification
Implement a kriging estimator for optimal block model estimates
Explain how uncertainty is a consequence of natural variability and sparse data
Express how optimal decisions can be made in the presence of geological uncertainty
| Lecture | Seminar | Lab | Credits | Total AU |
|---|---|---|---|---|
| 3 | 1/1 | 0/1 | 3.5 | 44.1 |
| M % | NS % | CS % | ES % | ED % |
|---|---|---|---|---|
None defined
None defined
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Undergraduate Program(s)
Sections & Respective Instructors
| A1 - 2025/2026 - Winter - Hooman Askari-Nasab |
| A1 - 2023/2024 - Winter - Hooman Askari-Nasab |