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基于GIS的钻孔资料信息化入库工作研究
引用本文:史国萍,马瑜宏,朱恒华,刘春华,郭晶,张贵丽,张华平,吴红霞.基于GIS的钻孔资料信息化入库工作研究[J].山东国土资源,2023,39(8).
作者姓名:史国萍  马瑜宏  朱恒华  刘春华  郭晶  张贵丽  张华平  吴红霞
作者单位:山东省国土测绘院;山东省地质调查院;山东省土地质量地球化学与污染防治工程技术研究中心
摘    要:钻孔资料是地质工作中形成的重要数据资源,囊括了地层、岩性、构造、矿化蚀变特征、元素化学分析和地下水动态等地质信息,是开展地质找矿,矿产资源评价、地质科学研究、环境保护、城市建设等工作所需要的重要地质资料。为了高效利用原始钻孔资料,本文结合近年来城市地质调查信息化和地下三维可视化建设的工作实践,研究了可操作性强、规范实用的钻孔入库数据表结构,实现了多元、多源、异构钻孔数据的规范化处理,提升了钻孔资料的利用效率和信息化服务水平,更好地发挥了基础地质资料的有力支撑作用,也为其他省市的钻孔资料信息化工作提供了参考。

关 键 词:钻孔  数据库  标准化  GIS  数据服务

Study on Information Storage of Borehole Data Based on GIS
SHI Guoping,MA Yuhong,ZHU Henghu,LIU Chunhu,GUO Jing,ZHANG Guili,ZHANG Huaping,WU Hongxia.Study on Information Storage of Borehole Data Based on GIS[J].Land and Resources in SHANDONG Province,2023,39(8).
Authors:SHI Guoping  MA Yuhong  ZHU Henghu  LIU Chunhu  GUO Jing  ZHANG Guili  ZHANG Huaping  WU Hongxia
Abstract:Drilling data is an important data resource formed in geological work, including geological information such as strata, lithology, structure, mineralization and alteration characteristics, elemental chemical analysis, and groundwater dynamics. It is an important geological data required for geological prospecting, mineral resource evaluation, geological scientific research, environmental protection, urban construction, and other work. In order to make efficient use of the original drilling data, combining with the work practice of urban Geological survey informatization and underground 3D visualization construction in recent years, the highly operable, standardized and practical data table structure of borehole warehousing has been studied, the standardized processing of multiple, multi-source and heterogeneous drilling data have been realized, and the utilization efficiency and informatization service level of drilling data has been improved. I tiwll give better play to the powerful supporting role of basic geological data, and provide some references for the informationization of drilling data in other provinces and cities.
Keywords:Drilling  database  standardization  GIS  data service
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