海量钻井地质数据的高效统计与GIS应用  

Efficient Statistics of Massive Drilling Geological Data and Its GIS Application

作　　者：孙岩[1] 李斌 罗群[3] SUN Yan(不详)

机构地区：[1]北京联合大学特殊教育学院,北京100075 [2]韩山师范学院,广东潮州521041 [3]中国石油大学(北京),北京102249

出　　处：《地理空间信息》2021年第1期48-52,I0006,共6页Geospatial Information

基　　金：国家重点基础研究发展计划资助项目(2015CB250901);北京联合大学科技创新服务能力建设——科研水平提高定额资助项目(12213991724010222);北京联合大学基础研究基金资助项目(122139918290107084);北京联合大学科技创新服务能力建设——基本科研资助项目(122139918290104063)。

摘　　要：在煤田地质勘探实践中,以电子表格方式统计、计算探井地质数据,较过去常规的计算方法有了很大进步;但随着煤田勘探探井数量的迅速增加,地质数据呈海量积累,利用电子表格方式效率较低,难以满足煤田高速勘探中的数据整理需求。按照数据库模式管理煤田地质数据,举例分析了数据库查询、分析、统计、计算等功能,迅速填写了煤层赋存特征表,并提出了煤田勘探数据区域地质空间对比的新方法。该数据处理方式是一种工作方法的创新,结合地理信息系统(GIS)使用,缩短了数据处理的工作周期,节约了工作成本,可在煤田地质勘探中深入推广。In the practice of coalfield geological exploration,it is a great progress to count and calculate the geological data of exploration wells by means of electronic table compared with the conventional calculation methods.However,with the rapid increase in the number of exploration wells and geological data in coalfield,the efficiency of the electronic table is low,making it difficult to meet the needs of data processing in high-speed exploration.According to the database model,we managed the geological data of coalfield,analyzed the query,analysis,statistics and calculation of the database with examples,filled in the coal seam occurrence characteristic table in the coalfield exploration quickly,and put forward a new regional geological spatial comparison method of the coalfield exploration data.This mode,together with GIS method,is an innovation of working method,which shortens the working cycle of data processing,and saves working costs,so it can be widely used in coal geological exploration.

关 键 词：海量地质数据 煤田勘探 煤田地质数据库 科学化管理 GIS 

分 类 号：P208[天文地球—地图制图学与地理信息工程]