1. ABOUT THE DATASET
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Title:	DASH_v1.0

Creator(s): Na Yan[1]

Organisation(s): 1. Fluvial, Eolian & Shallow-Marine Research Group, School of Earth and Environment, University of Leeds

Rights-holder(s): Copyright 2023 University of Leeds

Publication Year: 2023

Description: The Dune Architecture and Sediment Heterogeneity model (DASH) has been developed to reproduce the 3D sedimentary bodies, bounding surfaces and associated facies distributions formed by a wide range of dune morphologies and morphodynamic behaviours. The model generates architectural framework produced by dune and interdune migration and aggradation, based on a long-established modelling approach; it then applies a series of rules that reflect geological understanding or observations from geological analogues to populate the 3D space with facies domains.

Cite as: Yan, N. (2023) DASH_v1.0 source code. University of Leeds.[Dataset] https://doi.org/10.5518/1448.

Related publication: Yan, N., Colombera, L., Cosgrove, G.I.E., Mountney, N.P.(2023). A 3D forward stratigraphic model of aeolian dune evolution for prediction of lithofacies heterogeneity. Computer & Geosciences. (Submitted)

Contact: n.yan@leeds.ac.uk


2. TERMS OF USE
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Copyright 2023 University of Leeds. This dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/.


3. PROJECT AND FUNDING INFORMATION
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Funding organisation: FRG-ERG-SMRG sponsors (AkerBP, Areva [now Orano], BHP, Cairn India [Vedanta], Chevron, CNOOC International, ConocoPhillips, Equinor, Murphy Oil, Occidental, Saudi Aramco, Shell, Tullow Oil, Woodside, and YPF) and Petrotechnical Data Systems.


4. CONTENTS
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DASH_v1.0.zip, including source codes, instruction, and a case exmaple with the input file and outputs (images, data files, a video).


5. METHODS
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Details can be found in Yan, N. et al. (2023).

Yan, N., Colombera, L., Cosgrove, G.I.E., Mountney, N.P.(2023). A 3D forward stratigraphic model of aeolian dune evolution for prediction of lithofacies heterogeneity. Computer & Geosciences. (Submitted)