Sedapp v2021: A nonlinear diffusion-based forward stratigraphic model for shallow marine environments

Jingzhe Li, Piyang Liu, Shuyu Sun*, Zhifeng Sun, Yongzhang Zhou, Liang Gong, Jinliang Zhang, Dongxing Du

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The formation of stratigraphy in shallow marine environments has long been an important topic within the geologic community. Although many advances have been made in the field of forward stratigraphic modeling (FSM), there are still some areas that can be improved in the existing models. In this work, the authors present our recent development and application of Sedapp, which is a new nonlinear open-source R code for FSM. This code uses an integrated depth-distance related function as the expression of the transport coefficient to underpin the FSM with more alongshore details. In addition to conventional parameters, a negative-feedback sediment supply rate and a differentiated deposition-erosion ratio were also introduced. All parameters were implemented in a nonlinear manner. Sedapp is a 2DH tool that is also capable of running 1DH scenarios. Two simplified case studies were conducted. The results showed that Sedapp not only assists in geologic interpretation but is also an efficient tool for internal architecture predictions.

Original languageEnglish (US)
Pages (from-to)4925-4937
Number of pages13
JournalGeoscientific Model Development
Volume14
Issue number8
DOIs
StatePublished - Aug 10 2021

Bibliographical note

Publisher Copyright:
© Author(s) 2021.

ASJC Scopus subject areas

  • Modeling and Simulation
  • General Earth and Planetary Sciences

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