摘要
三维地学建模的理论与方法在大数据时代该如何发展,是当下这一领域研究人员非常关注的问题。从现代三维地学建模的重要方法——隐式建模的角度,对三维地学建模方法与地质大数据系统的有机集成、以及如何利用大数据技术提高地学建模的效率和质量等问题进行了探讨。初步提出了一套基于地质科学大数据的三维地学建模方法和流程,包括:地质大数据的搜集、主题大数据系统的搭建、地质特征要素的深度挖掘和三维地学模型的动态构建。同时,也指出了大数据背景下高质效三维地学建模的关键在于:研究实现充分顾及地质对象和地质科学大数据特点的地学人工智能、机器学习、数据挖掘及空间推断方法。通过一个典型矿体建模的应用实例对所提方法的可行性进行了验证。
As a key technology of geological information systems and an important method for geological information science,three dimensional geoscience modelling(3DGM)faces many opportunities and challenges in the age of big data.Many experts in this field are discussing ways to improve 3DGM in this context.From the point view of 3D implicit modeling,an up-to-date 3DGM method,this paper discusses several issues on this point such as the integration of a geological big data system and 3DGM,and the possible ways to enhance the quality and efficiency of 3DGM based on big data technologies.The paper proposes an initial integration framework of big data based 3DGM consisting of data collection,construction of subject-oriented big data system,geological feature mining and dynamic orebody modeling.This research also suggests that the approaches of geological artificial intelligence,machine learning,data mining,and predication should be designed and applied with full consideration of essential characteristics of the geological objects under study,which is crucial to improve the modeling result.The feasibility of the proposed method is illustrated by a case study on orebody modeling.
作者
李章林
吴冲龙
张夏林
翁正平
刘刚
张志庭
张军强
Li Zhanglin;Wu Chonglong;Zhang Xialin;Weng Zhengping;Liu Gang;Zhang Zhiting;Zhang Junqiang(School of Computer Science,China University of Geosciences(Wuhan),Wuhan 430078,China;Hubei Key Laboratory of Intelligent Geo-Information Processing,China University of Geosciences(Wuhan),Wuhan 430078,China;Intelligent Geological Resources and Environment Technology Hubei Engineering Research Center,China University of Geosciences(Wuhan),Wuhan 430078,China;Technology Innovation Center of Mineral Resources Explorations in Bedrock Zones,Ministry of Natural Resources,Guiyang 550081,China)
出处
《地质科技通报》
CAS
CSCD
北大核心
2020年第4期59-68,共10页
Bulletin of Geological Science and Technology
基金
国家自然科学基金项目(41972310,U1711267)
贵州省科技计划(黔科合支撑[2017]2951,黔科合平台[2018]5618,黔科合支撑[2019]2868,黔科合支撑[2020]4Y039号)
贵州省地质勘查基金项目(2019-02号)
贵州省地矿局科研项目(黔地矿科合[2017]2,黔地矿科合[2018]07)。
关键词
地学大数据
三维地学建模
空间插值
数据挖掘
地质统计学
geological big data
three dimensional geoscience modeling
spatial interpolation
data mining
geo-statistics