4.6 Article

Quantifying the relationship between water depth and carbonate facies

Journal

SEDIMENTARY GEOLOGY
Volume 373, Issue -, Pages 1-10

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.sedgeo.2018.05.011

Keywords

Great Bahama Bank; Carbonates; Water depth; Hidden Markov models

Categories

Funding

  1. Scott Vertebrate Fund
  2. Princeton University
  3. NSF [EAR-1410317]
  4. Comparative Sedimentology Laboratory of the University of Miami

Ask authors/readers for more resources

Carbonate fades often are used to define meter-scale parasequence (or cyclic) structure in ancient sedimentary basins. These parasequences constitute the fundamental stratigraphic unit in many studies of ancient climate and life on Earth. Of interest is the uncertainty associated with the assumptions that under-pin the parasequence definition and interpretation. This work presents a method that uses modern maps of bathymetry and the geographic distribution of facies atop the Great Bahama Bank to extract a signal of water depth change from fades transitions in vertically stacked carbonate strata. This probabilistic approach incorporates the observed complexity in the water depth distribution of immediately adjacent modern carbonate environments, and results in an impartial and explicit interpretation of stratigraphic data with quantified uncertainties. Specifically, this analytical tool can distinguish sequences of fades that are likely to record information about changing water depths from sequences of facies that do not. Additionally, the quantitative signal extracted from sequences of discrete, or qualitative data, can be used for the correlation of stratigraphic sequences. By quantifying geologic observations through a lens of modern data, the reproducibility and accuracy of sedimentary interpretations can be improved to build a more authentic picture of Earth history. (C) 2018 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available