Sequence stratigraphy hierarchy and the accommodation succession method

J Neal, V Abreu - Geology, 2009 - pubs.geoscienceworld.org
Geology, 2009pubs.geoscienceworld.org
We propose a framework for the hierarchy of sedimentary units observed in stratigraphic
data that is based entirely on the geometric relationship of the strata. This framework of
geometries is assumed to result from repeated successions of accommodation creation and
sediment fill (here named accommodation succession). We have modified existing
hierarchal frameworks to describe depositional units resulting from accommodation
successions of varying magnitude and duration, across a depositional profile. Each full …
Abstract
We propose a framework for the hierarchy of sedimentary units observed in stratigraphic data that is based entirely on the geometric relationship of the strata. This framework of geometries is assumed to result from repeated successions of accommodation creation and sediment fill (here named accommodation succession). We have modified existing hierarchal frameworks to describe depositional units resulting from accommodation successions of varying magnitude and duration, across a depositional profile. Each full succession consists of component partial succession sets that are, sequentially, lowstand—progradation to aggradational; transgressive—retrogradation; and highstand—aggradation to progradation to degradation. The terms “highstand” and “lowstand” as originally defined to label systems tracts relative to a shelf edge, and with an implied relationship between sea level and systems tracts, have been the root of confusion. We propose that these terms be used in the strict sense of the original definition, because their meaning has been lost when applied to the many depositional settings and high-resolution data sets to which the concepts of sequence stratigraphy are now applied. We propose that the concept of accommodation succession stacking be used in the interpretation of stratigraphic data within a hierarchal framework of depositional sequences, sequence sets, and composite sequences. This will allow an interpreter to accurately categorize observations, provide a basis for predictions away from control points, and develop a framework that allows revisions as higher-resolution data become available.
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