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THE EFFECT OF EXTERNAL CONTROLS ON CHANNEL-BELT STACKING PATTERNS IN THE FLUVIO-DELTAIC DOMAIN OF A LANDSCAPE FLUME

L.A. Tlili-2013-08-26-Utrecht University Repository (Utrecht University)
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TL;DRAbstract

External controls such as glacio-eustatic sea-level variation are known to have a strong influence on the areas of deposition and erosion, thereby affecting the location of channels, as well as their stacking patterns. Recent studies have shown that paleo-environmental (allogenic) signals preserved in stratigraphy may be overprinted by internally generated (autogenic) sedimentation. However, it is unclear to what affects external controls, such as sea-level change, subsidence, but also sediment mixture may have on the time scale over which there is a transition between allogenic and autogenic stratigraphy. Two sets of experiments were carried out in the Eurotank Flume Laboratory at Utrecht University during which the morphology and the topography of the fluvial system were regularly monitored to determine compensational stacking. Using statistical methods, basin filling trends were quantified. The compensation index (σss) and the compensation time scale (κn) were used to explore how co

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External controls such as glacio-eustatic sea-level variation are known to have a strong influence on the areas of deposition and erosion, thereby affecting the location of channels, as well as their stacking patterns. Recent studies have shown that paleo-environmental (allogenic) signals preserved in stratigraphy may be overprinted by internally generated (autogenic) sedimentation. However, it is unclear to what affects external controls, such as sea-level change, subsidence, but also sediment mixture may have on the time scale over which there is a transition between allogenic and autogenic stratigraphy. Two sets of experiments were carried out in the Eurotank Flume Laboratory at Utrecht University during which the morphology and the topography of the fluvial system were regularly monitored to determine compensational stacking. Using statistical methods, basin filling trends were quantified. The compensation index (σss) and the compensation time scale (κn) were used to explore how co

Keywords

GeologyFluvialFlumeGeomorphologyStructural basinSea levelSubsidenceHydrocarbon exploration

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