国际沉积学研究前沿和发展讨论——第37次国际沉积学家年会述评

Frontiers and future prospects of international sedimentological research： Review on the 37th International Meeting of Sedimentology

朱筱敏 王晓琳 胡鑫 王祥 高子颉

Xiaomin ZHU Xiaolin WANG Xin HU Xiang WANG Zijie GAO

2024年6月在英国阿伯丁召开的第37次国际沉积学家年会聚焦沉积学前沿领域，重点讨论了地球、生命与气候、前寒武纪环境、源-汇系统、河流与湖泊沉积、潮汐作用与浅海沉积、深水沉积、硅质碎屑成岩作用与储层表征、碳酸盐岩与蒸发岩、遗迹化石学、火山与地球化学、行星沉积学、地热和能源转型、地震沉积学、人工智能和沉积学研究新方法与技术等学术前沿问题。会议强调了古气候研究在深-时全球变化中的重要性，提出高分辨率沉积记录重建古气候的新思路；强调构造活动、气候变化和沉积过程之间的耦合关系，依据多尺度地貌重建和沉积物通量模拟，揭示源-汇区搬运机制；强调细粒沉积物在深水环境中的搬运和沉积机制，提出基于机器学习的沉积相自动识别、储层预测和沉积过程模拟新方法等。基于这次年会的前沿动态综合分析，未来沉积学研究应关注和推进古气候与深-时全球变化、古地貌学与源-汇系统、深水沉积与细粒沉积学、大数据与人工智能新技术等发展，服务国家能源战略目标，创建具有中国区域地质特色的沉积学理论体系。

The 37thInternational Meeting of Sedimentology （also referred to as the 37th IMS） was held in June 2024 in Aberdeen， UK， focusing on the frontiers of sedimentology. Specifically， this meeting highlighted cutting-edge academic issues including the interactions between the Earth， life， and climate， Precambrian environments， source-to-sink systems， fluvial and lacustrine sedimentation， tidal action and neritic sedimentation， deep-water sedimentation， and the diagenesis and reservoir characterization of siliceous clastic rocks. Additional focal areas included carbonate rocks and evaporites， ichnology， volcanoes and geochemistry， planetary sedimentology， geothermal resources and energy transition， seismic sedimentology， and AI-based new methodologies and technologies for sedimentological research. This meeting emphasized the importance of paleoclimate research in deciphering deep-time global changes， presenting a novel approach to reconstruct paleoclimate using high-resolution sedimentary records. It underscored the coupling relationships among tectonic activities， climate change， and sedimentary processes， positing that elucidating source-to-sink transport mechanisms necessitates multi-scale geomorphological reconstruction and sediment flux simulations. Furthermore， this meeting underlined the transport and deposition mechanisms of fine-grained sediments in deep-water environments， and introduced novel machine learning-based methods for automatic sedimentary facies identification， reservoir prediction， and sedimentary process simulation. A comprehensive analysis of the cutting edge obtained from the 37th IMS reveals that future sedimentological research in China should prioritize research on paleoclimate and deep-time global changes， paleogeomorphology and source-to-sink systems， deep-water sedimentation and fine-grained sedimentology， and new technologies such as big data and AI. The purpose is to achieve the national energy strategic objectives and establish a sedimentological theoretical system that reflects the regional geological characteristics of China.

10.11743/ogg20250301