细粒物质沉积动力学过程正演数值模型及应用
- 1. 中国石油勘探开发研究院
- 2. 河海大学
- 3. 中石油勘探开发研究院石油地质实验研究中心
- 收稿日期:
2025-11-04
- 网络出版日期:
2026-06-16
摘要: 细粒沉积与传统非细粒沉积在动力学机制上存在显著差异,有必要突破定性描述,梳理针对细粒物质的定量化动力学模型。文章结合作者的模型计算成果,从微观絮凝过程、沉积体级别的黏性特征到盆地尺度的多沉积过程三个层次,对细粒沉积的数值建模方法、核心公式及其含义进行了系统综述。微观层面,以絮团均值粒径模型为代表,解析了Winterwerp絮凝动力学公式与分形维度的影响,阐明絮团在碰撞—聚并—破碎平衡下的粒径演化过程;沉积体层面,通过Delft3D模型模拟结果说明其通过显式区分黏性与非黏性沉积物,应用Partheniades-Krone侵蚀沉积模型及盐度制约下的沉降速度,能够较好再现絮凝对三角洲沉积格局的控制作用;盆地尺度,以Dionisos(Diffusion)、Badlands(Stream Power)和Lecode(Marker in cell)不同模拟方法代表,评估其对于细粒物质模拟的适用性,区分细粒和粗粒沉积物的参数设置方法,揭示悬浮沉降、异重流、泥流、坡面过程与河流等不同细粒沉积过程的空间展布规律。本研究不仅深化了对细粒沉积动力学本质的认识,也为提升数值模拟在细粒沉积研究中的适应性提供了展望和建议。
Process Modeling and its Applications of Fine-Grained Sediments
- Received Date:
2025-11-04
- Available Online:
2026-06-16
Abstract: Fine-grained sedimentation differs fundamentally from conventional coarse-grained sedimentation in terms of its dynamic mechanisms. It is therefore necessary to move beyond qualitative descriptions and establish quantitative dynamic models specifically for fine-grained materials. Based on the authors’ simulation results, this paper systematically reviews process modelling of fine-grained sediment across three hierarchical levels: (1) The grain scale represented by the floc mean-size model. The Winterwerp flocculation dynamics equation and the influence of fractal dimension are elucidated, revealing the evolution of floc size under the equilibrium of collision–flocculation–breakup processes; (2) The depositional-body scale, represented by Delft3D. Cohesive and noncohesive sediments are differentiated explicitly. It employs the Partheniades–Krone erosion–deposition formulation and salinity-controlled settling velocity, and effectively reproduces the impact of flocculation on deltaic depositional patterns; and (3) The basin scale, represented by Dionisos (Diffusion), Badlands (Stream Power), and Lecode (Marker-in-Cell). They are evaluated in terms of their applicability to fine-grained sediment simulation, parameterization strategies distinguishing fine- and coarse-grained sediments, and their ability to reproduce spatial patterns of various fine-grained depositional processes such as suspended settling, turbidity currents, debris flows, hillslope processes, and fluvial transport. This study deepens the understanding of the intrinsic dynamics of fine-grained sedimentation and provides perspectives for improving the adaptability of numerical models in fine-grained sediment research.