Subsurface salt movement in the absence of external tectonic forces can affect contemporaneous sediment deposition, mask allocyclic signals, and deform older strata. We used a discrete element model (DEM) to better understand salt-related modification of a sedimentary sequence with an increasing sedimentation rate. This permitted quantification of thinning rates and analysis of the lateral extent of synkinematic layers. Results show realistic evolution of salt-related faults, defining two salt-withdrawal basins, beyond which strata are undeformed. Thinning of stratigraphy is four times greater between the salt flank and crest than between the undeformed zone and flank, confirming an intense zone of halokinetic modulation adjacent to the diapir. Early, slowly aggrading layers are isolated within the salt-withdrawal basin and strongly influenced by salt growth, whereas later, quickly aggrading layers are more laterally extensive, matching inferences made from subsurface and outcrop data. Halokinetic modulation reduces up the stratigraphic section, mirroring observations around the Pierce diapirs, in the North Sea, offshore UK. Our DEM provides quantitative insights into the dynamic interplay between halokinetic and allocyclic controls on salt-stratigraphic relationships.
Research Article|
February 22, 2021
External signal preservation in halokinetic stratigraphy: A discrete element modeling approach
Zoë A. Cumberpatch
;
Zoë A. Cumberpatch
1
Department of Earth and Environmental Sciences, University of Manchester, Manchester M13 9QQ, UK
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Emma Finch
;
Emma Finch
1
Department of Earth and Environmental Sciences, University of Manchester, Manchester M13 9QQ, UK
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Ian A. Kane
Ian A. Kane
1
Department of Earth and Environmental Sciences, University of Manchester, Manchester M13 9QQ, UK
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Geology (2021)
Article history
received:
29 Sep 2020
rev-recd:
15 Dec 2020
accepted:
17 Dec 2020
first online:
22 Feb 2021
Citation
Zoë A. Cumberpatch, Emma Finch, Ian A. Kane; External signal preservation in halokinetic stratigraphy: A discrete element modeling approach. Geology 2021; doi: https://doi.org/10.1130/G48448.1
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