Description
Objectives
With this CU, the student has the skills to create numerical models of the uncertainty associated with the spatial characterization of physical phenomena of natural resources and, consequently, to assess the risk of the decision making about the resource. These models can be applied to different domains: mineral resources in assessing the risk associated with their exploration, discovery and characterization; geological and geomechanical models for assessing the risk of engineering works in the sub-soil; environmental resources, in the assessment of the risk of contaminated soils, aquifers, atmospheric contamination; climate change to assess the risk of extreme climatic events, droughts, floods and desertification.
Syllabus
Part 1- Characterization of local probability distribution laws: Indicator formalism; Multigaussian formalism; Part 2- Monte Carlo simulation; Stochastic simulation models. Sequential Gaussian simulation; Direct Sequential Simulation and co-simulation for non-stationary phenomena; Simulation models with local distributions; Simulation with bi-distributions.
Prerequisites
Programming and computing, optimization and simulation, Geostatistics
Cross Competence Component
Develop teamwork and communication skills through oral presentation.
Laboratorial Component
Development of a project throughout the academic weeks, aimed at the characterization of uncertainty and risk of a reservoir or a natural resource.
Programming And Computing Component
Application and implementation of main tools of geoMS and SGems.
Ethical Principles
All members of a group are responsible for the group's work. In any assessment, every students shall honestly disclose any help received and sources used. In an oral assessment, every students shall be able to present and answer questions about the entire assignment and solution.