Extracting 3D grain size trends across synthetic analogues of prograding deltas created in Delft3D GeoTool

Abstract (2017)

Authors

H. van der Vegt Applied Geology - CEG
J.E.A. Storms Applied Geology - CEG
D.J.R. Walstra Deltares, Coastal Engineering - CEG
L. Li Applied Geology - CEG
Kjetil Nordahl Statoil Research Centre
A.W. Martinius Applied Geology - CEG , Statoil Research Centre
Research Group
Applied Geology (CEG) (TU Delft)
Copyright: © 2017 H. van der Vegt, J.E.A. Storms, D.J.R. Walstra, L. Li, N.C. Howes, Kjetil Nordahl, A.W. Martinius
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Published Date

2017

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Engineering

Research Group

Applied Geology

Abstract

Geological models are generated by interpretation and interpolation of sparse data. To limit uncertainty, relevant analogues are used to extrapolate knowledge of previously studied, well understood systems. However, these analogues only provide a snapshot of deposition. During delta progradation, sediment will not only be deposited, but is also reworked resulting in unique preserved sediment distribution patterns for each delta. We show how process-based models can be used to study the evolution of deltaic sediment distribution in four dimensions. Grain-size distribution trends are extracted from preserved deposits in synthetic analogues of prograding deltas.

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