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.
|Number of pages||1|
|Publication status||Published - 2017|
|Event||79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter - Paris, France|
Duration: 12 Jun 2017 → 15 Jun 2017
Conference number: 79
|Conference||79th EAGE Conference and Exhibition 2017|
|Period||12/06/17 → 15/06/17|