2019
DOI: 10.1016/j.marpetgeo.2018.12.023
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A database solution for the quantitative characterisation and comparison of deep-marine siliciclastic depositional systems

Abstract: This is a repository copy of A database solution for the quantitative characterisation and comparison of deep-marine siliciclastic depositional systems.

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Cited by 17 publications
(17 citation statements)
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References 125 publications
(89 reference statements)
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“…In both the documented outcrop and subsurface examples, the lobe complexes are seen to stack aggradationally, producing amalgamated lobe complexes hundreds of metres thick; far in excess of the thicknesses typically documented in unconfined settings (e.g., Fig. 13; Table 3; Prelat et al, 2009;Macdonald et al, 2011;Straub and Pyles, 2012;Cullis et al, 2019). More typically, lobe complexes are seen to be separated by thinner bedded, muddier sediment, either representing a shutdown or an avulsion of the sedimentary system (Prelat et al, 2009).…”
Section: Integration and Interpretation Of Tectono-stratigraphic Architecturementioning
confidence: 87%
“…In both the documented outcrop and subsurface examples, the lobe complexes are seen to stack aggradationally, producing amalgamated lobe complexes hundreds of metres thick; far in excess of the thicknesses typically documented in unconfined settings (e.g., Fig. 13; Table 3; Prelat et al, 2009;Macdonald et al, 2011;Straub and Pyles, 2012;Cullis et al, 2019). More typically, lobe complexes are seen to be separated by thinner bedded, muddier sediment, either representing a shutdown or an avulsion of the sedimentary system (Prelat et al, 2009).…”
Section: Integration and Interpretation Of Tectono-stratigraphic Architecturementioning
confidence: 87%
“…The entity-relationship model of DASA is based in part on those of other sedimentological relational databases: the Shallow-Marine Architecture Knowledge Store (SMAKS; Colombera et al, 2016), the Deep-Marine Architecture Knowledge Store (DMAKS; Cullis et al, 2019) and the Fluvial Architecture Knowledge Transfer System (FAKTS; Colombera et al, 2012a).…”
Section: Methodsmentioning
confidence: 99%
“…In parallel with this rigid hierarchy, DASA adopts an open hierarchy for certain units of the same rank: geomorphic, architectural and facies elements (cf. Colombera et al, 2016;Cullis et al, 2019). This allows hierarchical relationships between different units of the same rank to be stored, using parent-child relationships.…”
Section: Database Structure and Overviewmentioning
confidence: 99%
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“…Three geometrical geological inputs are required: Submarine channel dimension (depth and width), the size of the median and coarsest sediment particles present on the bed, and submarinechannel gradient. These can be derived from subsurface datasets such as reflection seismic data, core, or well-logs (Samuel et al, 2003), from chosen outcrop analogues or architectural data-stores Cullis et al, 2019), modern oceanographic analogues (Covault et al, 2011;Prather et al, 2016), or source-to-sink predictions based on system style (Helland-Hansen et al, 2016). An additional estimation of the range of depth average sediment concentration needs to be supplied.…”
Section: Introductionmentioning
confidence: 99%