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GEO4-14197.5 ECTSQ3EnglishMaster

Dynamics of sedimentary systems

FaculteitFaculty of Geosciences
NiveauMaster
Studiejaar2026-2027

Beschrijving

Course goals

Please note: the information in the course manual is binding.
 
Intended Learning Outcomes. 

The student who completes the course is able to:
-Formulate research questions that arise from observations of sedimentary deposits, that can be tested with models.
-Understand how interactions between controlling variables are organized in the internal workings of computer models.
-Use models to investigate formation mechanisms of deposit characteristics.
-Report on model results.
-Communicate results to both academic and non-academic audiences.
 

Content

Sedimentary systems record the combined effects of physical, biological, and chemical processes in depositional environments as a set of stratigraphic deposit characteristics. Many simplified sedimentary models exist as a set of conceptual keys that together unlock interpretation of past conditions from these characteristics. However, complex interactions between controlling variables commonly make deposit characteristics difficult or impossible to foresee. Or in an inverse workflow, formation mechanisms may be difficult or impossible to interpret from deposits. In those cases, modelling of sedimentary dynamics can resolve interactions, and offer researchers a view on formation mechanisms. Often, the model results lead to new perspectives on controls in sedimentary systems that could not have been reasoned a priori from existing concepts.
In the course Dynamics of Sedimentary Systems, the student explores the use of models as tools to construct understanding of formation mechanisms of deposit characteristics. Three depositional systems are treated: a) alluvial fans; b) carbonate systems; and c) submarine canyons and fans. In each part, empiric descriptions of deposit characteristics are used as a starting point to define questions of interest. A model is then introduced that configures interactions between controlling variables. The student will use the model to investigate the formation mechanisms of deposits.
No prior experience with computer modelling is required.
 

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