面向多金属结核资源评价的大数据挖掘与融合  

Big Data Mining and Fusion Towards Resources Evaluation of Polymetallic Nodules

作　　者：李维禄[1] 高思宇[1] 杨锦坤[1] 韩春花[1] 韦广昊[1] 孔敏[1] Li Weilu;Gao Siyu;Yang Jinkun;Han Chunhua;Wei Guanghao;Kong Min(National Marine Data and Information Service,Tianjin 300171,China)

机构地区：[1]国家海洋信息中心,天津300171

出　　处：《吉林大学学报(地球科学版)》2025年第1期340-350,共11页Journal of Jilin University:Earth Science Edition

基　　金：国家自然科学基金项目(42206226);国家重点研发计划项目(2022YFC2806601)。

摘　　要：深海多金属结核资源的预测评价已走向数据科学范式,急需开展深层次找矿-示矿大数据挖掘与融合。通过分析讨论深海矿产资源评价的研究进展,以及大数据分析在矿产资源评价领域的应用,探索了面向多金属结核资源评价的大数据挖掘与融合技术方法,提出了多金属结核资源地质模型知识谱系分析、多源异构资源-环境数据特征信息挖掘、基于大数据空间决策分析的融合集成,以及多金属结核资源评价对比验证等关键技术流程。大数据挖掘与融合技术方法创新性分析常规/非常规资源评价数据及其与矿床的相关关系,构建符合地质约束的大数据空间决策支持推理模型,实现多源异构资源评价信息的特征提取和融合集成,为深海矿产资源评价提供了基于大数据分析的技术解决途径。大数据挖掘与融合技术研究可提高深海矿产资源评价的精度和效率,对深海资源-环境等数据的高效利用、新多金属结核矿区的勘探评价以及其他深海矿种的预测评价具有重要的理论价值和实践意义。The prediction and evaluation of deep-sea polymetallic nodules have entered into the data science paradigm,and the deep mining and fusion of big data for ore prospecting and ore indication are seriously needed.Through analyzing the research progress of deep-sea polymetallic nodules evaluation,and discussing the application of big data approaches in mineral resources evaluation,the big data mining and fusion techniques towards resources evaluation of polymetallic nodules are explored,in which,the major research contents and methods like the knowledge pedigree analysis for polymetallic nodules resources,the metallogenic characteristics mining methods based on data science,the fusion and integration methods based on spatial decision-making model with big data,the comparison and verification of quantitative prediction and evaluation on polymetallic nodules resource,are proposed.It creatively analyzes conventional/unconventional resources evaluating data and its correlation with ore deposits,and establishes the spatial decision-making model with geological constraint and big data.On this basis,feature extraction and fusion of the information from multi-source heterogeneous data are achieved to supply the technology solution based on big data for deep-sea mineral resources evaluation.The research on big data mining and fusion techniques could improve the accuracy and efficiency of polymetallic nodules resources evaluating,and has important theoretical value and practical significance to the efficient use of deep-sea resource-environmental data,the exploration and evaluation of new polymetallic nodules mining area,and the prediction and evaluation of other deep-sea minerals.

关 键 词：多金属结核 资源评价 深海矿产 大数据 数据挖掘 数据融合 

分 类 号：P744.3[天文地球—海洋科学]