MinE 613

Non-Parametric and Multivariate Geostatistics


Description

Cell based methods for geology modeling, including 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. Prerequisite: Consent of instructor.


Lecture Seminar Lab Credits Total AU
3 1/1 0/1 3.5 44.1
M % NS % CS % ES % ED %

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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