沉积学报2025，Vol.43Issue(3)：827-845,19.DOI:10.14027/j.issn.1000-0550.2024.074
深水重力流沉积模拟研究进展与展望
Progress and Prospects for Simulating Deep-water Gravity Flow Sedimentation
摘要
Abstract
[Significance]Deep-water gravity flow deposits are,in effect,records of extreme climatic events and tec-tonic activities(e.g.paleoseismic events).Accumulations of these sediments significantly affect the number and ex-tent of worldwide reserves of oil and gas resources.The event-driven nature of the deep-water gravity flow process,to-gether with the unique nature of each deposition site,presents a significant challenge to direct observation in the field.At present,simulation of the dynamics and distribution patterns of deep-water gravity flow deposits is the prima-ry approach.[Progress]This study reviews the advances in both physical and numerical simulation of the processes and patterns of deep-water gravity flow deposits.It begins with a summary of the principles and progress in monitoring technology and laboratory construction of physical simulation models,then examines the factors influencing such ex-periments:material composition and content,flow state and energy differences in the dynamics of the fluid flow.Analysis of the formation,transportation and depositional processes of deep-water gravity flow provides insights into the complex dynamics involved,in terms both of its behavior alone and when influenced by external factors(e.g.,contour currents).The study also reviews advances in the simulation of sedimentary processes influenced by the struc-ture of the fluid,taking account of hydrodynamic parameters and complex topography.Numerical simulation is also crucial to understanding deep-water gravity flow.This study provides a comprehensive review of the historical develop-ment of numerical simulation techniques and presently available numerical simulation platforms.[Conclusions and Prospects]The limited ability of physical models to simulate the intricate dynamics and complex interactions be-tween sediment particles and fluid flow in deep-water gravity flow deposits are further discussed.The spatiotemporal scale of a laboratory setting hinders the ability to reproduce the behavior of deep-water gravity flow that exists in real-world conditions,and it is unlikely that hydrodynamic parameters(variation in water velocity,sediment concentra-tion etc.)are accurately predicted by physical models.Numerical simulation offers a promising alternative for study-ing deep-water gravity flow deposits due to the mathematical ability to work at a scale consistent with real-world condi-tions.However,although computational fluid dynamics simulations provide valuable information about various depo-sitional mechanisms that occur in deep-water environments,they have limited accuracy when applied to certain phe-nomena.In particular,the accurate capture of the behavior of high particle concentrations in turbidity currents and prediction of the amount of erosion they cause remain significant challenges due to the uncertainties associated with factors such as grain size distribution and bed composition.Interdisciplinary collaboration is crucial in confronting these challenges and advancing the understanding of deep-water gravity flow sedimentation.Deeper insights into the underlying mechanisms at play during these processes will best be obtained if key results from physical model simula-tion are integrated with outcomes from numerical simulation.This approach presents novel guidance for exploring oil and gas reserves in deep-water environments and preventing geological disasters.关键词
深水重力流/浊流/物理模拟/数值模拟/研究进展Key words
deep-water gravity flow/turbidity current/physical simulation/numerical simulation/research progress分类
天文与地球科学引用本文复制引用
耿军阳,鲜本忠,刘振献,玄硕,石浩程,余志云..深水重力流沉积模拟研究进展与展望[J].沉积学报,2025,43(3):827-845,19.基金项目
国家自然科学基金项目(42172109) （42172109）
中国石油天然气集团有限公司—中国石油大学(北京)战略合作科技专项(ZLZX2020-02)[National Natural Science Foundation of China,No.42172109 （北京）
China National Petroleum Corporation-China University of Petroleum(Beijing)Strategic Cooperation Science and Technology Project,No.ZLZX2020-02] （Beijing）
