--> Abstract: Improved Prediction of Depositional Elements in Mixed-Process Coastal Depositional Systems, by R. Bruce Ainsworth and Boyan K. Vakarelov; #90078 (2008)

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Improved Prediction of Depositional Elements in Mixed-Process Coastal Depositional Systems

R. Bruce Ainsworth and Boyan K. Vakarelov
Australian School of Petroleum, University of Adelaide, Adelaide, SA, Australia

Existing classification schemes and models of clastic coastal depositional systems are generally comprised of both geometrical and process-based (wave, tide and fluvial) parameters. These classifications and models are relatively simplistic and restricted in terms of their predictive power. Moreover, they do not take into account the potential amplifying or moderating effects of coastal morphology on depositional processes. A new model is presented here which comprises a combined process-based and geometrical element classification. Impacts of coastal morphology on depositional processes are also convolved with accommodation space and sediment supply parameters to improve the predictive capabilities of the models. The models can describe and predict mixed-process shoreline depositional environments and elements. Three coastal depositional environments are defined (deltaic, estuarine and non-fluviatile coastlines) and classified on the basis of process-domination. Fourteen key depositional elements which form the building blocks of the depositional environments were also identified. The depositional elements cross both depositional environment and depositional process domination boundaries. Geometries of these individual elements vary depending upon which depositional environment they occur in and the predominant depositional processes to which they were exposed.

Prediction of depositional style in these mixed-process systems is achieved by utilisation of a matrix which convolves wave versus fluvial process dominance, accommodation/sediment supply, coastal morphology and shelf width. Depositional element prediction is a product of the coastal depositional style and environment predicted by the matrix. Improved depositional element prediction and consequent uncertainty reduction in mixed-process depositional systems are a product of this new classification scheme.

 

AAPG Search and Discovery Article #90078©2008 AAPG Annual Convention, San Antonio, Texas