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Quantitative stratigraphic analysis in a source-to-sink numerical framework

机译:源区数值框架中的定量地层分析

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The sedimentary architecture at continental margins reflects the interplay between the rate of change of accommodation creation (δA) and the rate of change of sediment supply (δS). Stratigraphic interpretation increasingly focuses on understanding the link between deposition patterns and changes in δA∕δS, with an attempt to reconstruct the contributing factors. Here, we use the landscape modelling code pyBadlands to (1)?investigate the development of stratigraphic sequences in a source-to-sink context; (2)?assess the respective performance of two well-established stratigraphic interpretation techniques: the trajectory analysis method and the accommodation succession method; and (3)?propose quantitative stratigraphic interpretations based on those two techniques. In contrast to most stratigraphic forward models (SFMs), pyBadlands provides self-consistent sediment supply to basin margins as it simulates erosion, sediment transport and deposition in a source-to-sink context. We present a generic case of landscape evolution that takes into account periodic sea level variations and passive margin thermal subsidence over 30?million years, under uniform rainfall. A set of post-processing tools are provided to analyse the predicted stratigraphic architecture. We first reconstruct the temporal evolution of the depositional cycles and identify key stratigraphic surfaces based on observations of stratal geometries and facies relationships, which we use for comparison to stratigraphic interpretations. We then apply both the trajectory analysis and the accommodation succession methods to manually map key stratigraphic surfaces and define sequence units on the final model output. Finally, we calculate shoreline and shelf-edge trajectories, the temporal evolution of changes in relative sea level (proxy for δA) and sedimentation rate (proxy for δS) at the shoreline, and automatically produce stratigraphic interpretations. Our results suggest that the analysis of the presented model is more robust with the accommodation succession method than with the trajectory analysis method. Stratigraphic analysis based on manually extracted shoreline and shelf-edge trajectory requires calibrations of time-dependent processes such as thermal subsidence or additional constraints from stratal terminations to obtain reliable interpretations. The 3-D stratigraphic analysis of the presented model reveals small lateral variations of sequence formations. Our work provides an efficient and flexible quantitative sequence stratigraphic framework to evaluate the main drivers (climate, sea level and tectonics) controlling sedimentary architectures and investigate their respective roles in sedimentary basin development.
机译:大陆边缘的沉积架构反映了住宿创作变化率(ΔA)和沉积物供应变化率之间的相互作用(δs)。地层解释越来越侧重于理解沉积模式之间的链接和ΔA/Δs的变化,试图重建贡献因素。在这里,我们使用景观建模代码Pybadlands至(1)?调查源到水库背景下的地层序列的发展; (2)?评估两个建立良好的地层解释技术的相应性能:轨迹分析方法和住宿方式; (3)?基于这两种技术提出定量地层解释。与大多数地层前瞻性模型(SFMS)相比,Pybadlands为盆地边缘提供自我一致的沉积物,因为它模拟了源区到源地下背景下的侵蚀,沉积物运输和沉积。我们在均匀的降雨下,我们展示了一个景观演变的通用案例,以考虑过度的海平面变化和100万年的被动裕度热沉降。提供了一组后处理工具来分析预测的地层架构。我们首先重建沉积循环的时间演变,并基于划分地几何形状的观察来识别关键地层表面,以及我们使用与地层解释的比较。然后,我们将轨迹分析和住宿方式方法应用于手动地图键地层表面并定义最终模型输出上的序列单元。最后,我们计算海岸线和搁架边缘轨迹,在海岸线上进行相对海平面(ΔA的代理)的变化(ΔA)的变化(ΔS代理)的时间演变,并自动产生地层解释。我们的研究结果表明,对所提出的模型的分析更加强大,与轨迹分析方法的住宿方式比换档方法更加强大。基于手动提取的海岸线和搁架轨迹的地层分析需要校准时间依赖的过程,例如来自跨终端的热沉降或额外约束,以获得可靠的解释。所提出的模型的3-D地层分析显示出序列形成的小横向变化。我们的工作提供了一种高效且灵活的定量序列地层框架,以评估控制沉积架构的主要司机(气候,海平和构造),并调查各自在沉积盆地发展中的各自作用。

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