Process-based Modelling of Sediment Distribution in Fluvial Crevasse Splays

Axel Sanden, H.T.W. Boerboom, Rick Donselaar, Joep Storms, Koen van Toorenenburg, Helena van der Vegt, Gert Jan Weltje

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

1 Citation (Scopus)


Exploitation of unconventional resources could prolong the gas production in the North Sea. Low-net-togross fluvial intervals have tough-gas reservoir potential in thin-bedded crevasse splays. To assess economic risks associated to the development of these reservoirs, a reliable grain-size distribution model is required. Sparse areal data availability for reservoir models commonly results in the use of stochastic interpolation. Numerical models offer the possibility to support these methods with proven physical concepts.To this end, simulations were conducted with Delft3D process-based modelling software. Input parameters and the validation data sets for these models are derived from outcrop studies in the presentday Río Colorado fluvial system in the Altiplano Basin, Bolivia. The grain-size trends of the simulated surface sediments for a single flood event are consistent with the validation data. These trends were used to populate individual crevasses splays within a static model. This shows that process-based models are able to support sediment trends and depositional mechanisms of a crevasse splay. The combination of numerical models and discrete field data provides a solid case for sediment distribution predications. However, simulations still have a limited accuracy.
Original languageEnglish
Title of host publication78th EAGE Conference and Exhibition 2016, Vienna, Austria
Subtitle of host publicationWorkshop 13 "Methods and Challenges of Seismic Wave Modelling for Seismic Imaging
Number of pages3
Publication statusPublished - 2016
Event78th EAGE Conference and Exhibition 2016 - Messe Wien, Exhibition and Congress Center, Vienna, Austria
Duration: 30 May 20162 Jun 2016
Conference number: 78


Conference78th EAGE Conference and Exhibition 2016
Abbreviated titleEAGE 2016
Internet address


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