深海富钴结壳资源评价方法研究进展  

Progress in the Evaluation of Deep-Sea Cobalt-Rich Crust Resources

作　　者：杨耀民 任悦 刘永刚[3] 李超 刘震 周鑫原 YANG Yaomin;REN Yue;LIU Yonggang;LI Chao;LIU Zhen;ZHOU Xinyuan(National Deep-Sea Center,Qingdao 266237,China;Qingdao Innovation and Development Base,Harbin Engineering University,Qingdao 266404,China;Guangzhou Marine Geological Survey,Guangzhou 510075,China)

机构地区：[1]国家深海基地管理中心,山东青岛266237 [2]哈尔滨工程大学青岛创新发展基地,山东青岛266404 [3]广州海洋地质调查局,广东广州510075

出　　处：《海洋科学进展》2025年第1期1-17,共17页Advances in Marine Science

基　　金：国家重点研发计划重点专项项目(2023YFC2812904)。

摘　　要：富钴结壳超常富集锰(Mn)、钴(Co)、镍(Ni)、铜(Cu)、稀土(REE)和铂族元素(PGE)等稀有金属。我国科研人员先后利用算术平均法、邻近区域法、地质块段法、地质统计学(克里金法)、网格剖分积分法和分形理论法等,开展了富钴结壳资源评价以及资源量的评估,以支撑我国与国际海底管理局2014年签订的富钴结壳勘探合同区的区域放弃工作。本文对目前富钴结壳资源评价方法进行了系统梳理,深入探讨了富钴结壳资源评价的主要方法及优缺点,并根据重要性划分了富钴结壳资源评价参数级别。此外,提出利用大数据和人工智能技术构建深海结壳矿床的三维实体模型,利用机器学习等先进技术进行多元地学信息的富钴结壳资源智能评价。Cobalt-rich crusts are enriched in rare metals such as cobalt(Co),manganese(Mn),and nickel(Ni),these crusts are also enriched in rare earth elements(REE),platinum group elements(PGE),and other rare metals.Chinese researchers have sequentially employed various methods including the arithmetic average method,adjacent area method,geological block method,Geostatistics(Kriging method),grid division integration method,and fractal theory method,to evaluate cobalt-rich crust resources and assess the resource quantity.These findings have provided key support for the regional termination of the cobalt-rich crust exploration contract area signed by China and the International Seabed Authority in 2014.This study systematically reviews the current evaluation methods of cobalt-rich crust resources,discusses the main methods of cobalt-rich crust resources evaluation and their advantages and disadvantages in more detail,divides the evaluation parameter levels of cobalt-rich crust resources according to their importance,and proposes to construct a three-dimensional solid model of deep-sea crust deposits with the help of big data artificial intelligence technology.Intelligent evaluation of cobalt-rich crust resources by using machine learning and other advanced technologies is an important development direction in the future.

关 键 词：富钴结壳 战略性矿产资源 资源评价 三维实体模型 机器学习 

分 类 号：P74[天文地球—海洋科学]