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

Abstract (2017)
Author(s)

Helena van der Vegt (TU Delft - Applied Geology)

J.E.A. Storms (TU Delft - Applied Geology)

D. J.R. Walstra (Deltares, TU Delft - Coastal Engineering)

Liang Li (TU Delft - Applied Geology)

N.C. Howes (Shell)

Kjetil Nordahl (Statoil Research Centre)

A. Martinius (TU Delft - Applied Geology, Statoil Research Centre)

Research Group
Applied Geology
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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Publication Year
2017
Language
English
Copyright
© 2017 H. van der Vegt, J.E.A. Storms, D.J.R. Walstra, L. Li, N.C. Howes, Kjetil Nordahl, A.W. Martinius
Research Group
Applied Geology
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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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