Quantitative characterisation and prediction of deep-marine sedimentary architecture and facies heterogeneity through relational databasing

Cullis, Sophie (2018) Quantitative characterisation and prediction of deep-marine sedimentary architecture and facies heterogeneity through relational databasing. PhD thesis, University of Leeds.

Abstract

Metadata

Keywords: deep-marine, turbidite, databasing, hierarchy
Awarding institution: University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds)
Depositing User: Mrs Sophie Cullis
Date Deposited: 26 Jun 2019 09:36
Last Modified: 26 Jun 2019 09:36

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