大数据时代铀矿资源预测评价的技术方法探讨  

Study on the Technology of Uranium Resource Prediction and Evaluation With Big Data

作　　者：蔡煜琦[1] 虞航[1] 李晓翠[1] 刘佳林[1] 章展铭 CAI Yuqi;YU Hang;LI Xiaocui;LIU Jialin;ZHANG Zhanming(Beijing Research Institute of Uranium Geology,CNNC Key Laboratory of Uranium Resources Exploration and Evaluation Technology,Beijing 100029,China)

机构地区：[1]核工业北京地质研究院中核集团铀资源勘查与评价技术重点实验室

出　　处：《铀矿地质》2019年第6期321-329,共9页Uranium Geology

基　　金：中国核工业地质局铀矿地质项目“铀资源大数据分析与找矿战略研究”（编号：201928-3）资助

摘　　要：文章介绍了大数据的概念及特点,从大数据采集、预处理、存储与管理、分析与挖掘、可视化与应用5个方面分析了大数据的分析与处理关键技术,结合铀矿资源预测评价现状,提出了大数据时代铀矿地质云的构建,探讨了大数据时代铀矿资源预测评价技术方法,对如何应用大数据理念和技术,科学挖掘铀矿资源预测的有效信息,以实现铀矿资源的定量预测,具有十分重要的意义。The definition and feature of Big Data was introduced in this paper.The key technology of Big Data analysis and processing were discussed in collection,preprocessing,storage and management,analysis and mining,visualization and application.Furthermore,the uranium geology cloud frame was constructed by studying current uranium resource prediction and evaluation situation,the technology and method with Big Data was also discussed for uranium resource prediation and evaluation.

关 键 词：大数据 铀矿地质云 预测评价 

分 类 号：P628[天文地球—地质矿产勘探] P624[天文地球—地质学]