Abstract

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.

Highlights

  • Shallow marine areas are among the most active environments for sedimentation, where sea level, tectonism and climate all influence the interactions between land and sea

  • We propose a new nonlinear forward stratigraphic modeling (FSM) model, which is expected to add some new features to the existing models

  • In Li et al (2018), the results were generated by Sedpak, an FSM model widely used in continental fault basins

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Summary

Introduction

Shallow marine areas are among the most active environments for sedimentation, where sea level, tectonism and climate all influence the interactions between land and sea. In order to better interpret the specific processes and analyze internal architectures, many forward stratigraphic models (FSMs) have been built for a range of temporal and spatial scales. The second, which we choose here, is a sink-dominant type, which focuses on analyzing the architectures and stacking patterns of the sedimentary results in a forward manner (Rivenaes, 1997; Dalman and Weltje, 2012; Granjeon, 2014; Li et al, 2020) This type generally does not consider how the sediments in the source area are entrained. Topography evolution in the marine portion is seriously affected by the water depth, whereas water depth is generally a function of topography and sea level In this case, nonlinear models seem to be more suitable. We use examples to show how this model works and test its effectiveness and convenience in reconstruction of sedimentary systems, revealing their internal architectures

Mathematical model
Code implementation
Nonlinear transport coefficients
Customizable compaction
Typical stacking patterns
Typical two-cycle scenario
Case studies
Discussion
Full Text
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