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

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

van der Vegt, H. (TU Delft Applied Geology)
Storms, J.E.A. (TU Delft Applied Geology)
Walstra, D.J.R. (TU Delft Coastal Engineering; Deltares)
Li, L. (TU Delft Applied Geology)
Howes, N.C. (Shell)
Nordahl, Kjetil (Statoil Research Centre)
Martinius, A.W. (TU Delft Applied Geology; Statoil Research Centre)

2017

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.

http://resolver.tudelft.nl/uuid:2336cbd6-58b0-467b-a81a-b2db25a2d564

79th EAGE Conference and Exhibition 2017, 2017-06-12 → 2017-06-15, Paris, France

Institutional Repository

abstract

© 2017 H. van der Vegt, J.E.A. Storms, D.J.R. Walstra, L. Li, N.C. Howes, Kjetil Nordahl, A.W. Martinius