页岩气勘探中的空间关系型数据库设计
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摘要
在页岩气勘探实践中,需要及时远程共享地质设计报告、地震解释成果、钻井资料、测井数据、录井地质记录、地质图件、统计图表、野外照片、地化测试报告、监督日报、会议日志、设计调整方案等具有空间特征的海量属性数据及工作文件,实时进行相关信息的跟踪对比分析、数据校正与设计方案调整,以求准确提前预判目的层位、控制钻探过程,并针对性地开展地学相关研究,取得可靠的基础地质数据,为进一步勘探、开发奠定基础。以空间关系型数据库为思路进行系统性页岩气勘探地质数据设计,并通过互联网实时协同式更新、传播、访问,对页岩气勘探中的海量数据进行信息化管理、快速处理及计算,可实现地质生产数据的异地远程共享、同步查询、批量修改、数据统计、海量计算以及协同式集体分工工作、分角色按权限访问、处理等功能,极大地提高了工作效率,革新了管理方法,提供了信息应用的便捷性。实践证明,该种方法是一种高效率、创新性的科学管理方法,可以在页岩气勘探、研究中推广使用,以促进页岩气勘探的信息化发展。
In the practice of shale gas exploration,it is necessary to timely share remote geological design reports,seismic interpretation results,drilling data,well logging data,well logging records,geological maps,statistical charts,field photos,geochemical testing reports,Meeting log,design adjustment program and other spatial characteristics of the massive attribute data and working documents,which helps to real-time track and comparatively analyze geological information.So data correction and design adjustments can be done in order to accurately predict the stratum of the target in advance to control the drilling process,and carry out geosciences related research purposefully which we can obtain reliable basic geological data,and lay the foundation for further exploration and development.If systematic geological data was designed for shale gas exploration based on spatial relational database which was real-time collaborative updated,disseminated and visited through the Internet,information of shale gas exploration massive data would have been managed,rapidly processed and calculated.So remote access,synchronous query,batch modification,data statistics,mass calculation of geologic production data,collaborative collective division of work and sub-role access by permissions,processing according to the rights and other functions could be realized.This method greatly improves the work efficiency and renovates the old management methods,which provides the convenience of information application.Practice has proved that this method is a highly efficient and innovative scientific management method that can be used in shale gas exploration and research to promote the development of shale gas exploration information.
In the practice of shale gas exploration,it is necessary to timely share remote geological design reports,seismic interpretation results,drilling data,well logging data,well logging records,geological maps,statistical charts,field photos,geochemical testing reports,Meeting log,design adjustment program and other spatial characteristics of the massive attribute data and working documents,which helps to real-time track and comparatively analyze geological information.So data correction and design adjustments can be done in order to accurately predict the stratum of the target in advance to control the drilling process,and carry out geosciences related research purposefully which we can obtain reliable basic geological data,and lay the foundation for further exploration and development.If systematic geological data was designed for shale gas exploration based on spatial relational database which was real-time collaborative updated,disseminated and visited through the Internet,information of shale gas exploration massive data would have been managed,rapidly processed and calculated.So remote access,synchronous query,batch modification,data statistics,mass calculation of geologic production data,collaborative collective division of work and sub-role access by permissions,processing according to the rights and other functions could be realized.This method greatly improves the work efficiency and renovates the old management methods,which provides the convenience of information application.Practice has proved that this method is a highly efficient and innovative scientific management method that can be used in shale gas exploration and research to promote the development of shale gas exploration information.
引文
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[3]雷桂侠,刘荣梅,韩媛,等.西北地区1∶5万区域地质图数据库建设及应用[J].西北地质,2013,46(4):231-240.
[4]夏菁,白志强,王宝鹏,等.地质资料信息化综合管理平台的设计及实现[J].北京大学学报(自然科学版),2014,50(2):295-300.
[5]穆荣,张永福,路星.基于ArcGIS Geodatabase基础空间数据库设计[J].测绘与空间地理信息,2007(3):112-115.
[6]张振芳,赵佳,王岳明.地质图空间数据库建设数据质量控制研究与实践:以1∶25万区域地质图空间数据库建设为例[J].地理信息世界,2013,20(4):82-85,99.
[7]张云普.大庆油田:数字油田建设步伐加快[J].石油知识,2017(6):22.
[8]王华.论我国三大石油公司信息化进展[J].石油规划设计,2013,24(6):5-9,49.
[9]洪亚飞,王建忠,孙强.焦石坝页岩气储层产能影响因素分析[J].非常规油气,2016,3(5):73-78.
[10]李昂,石文睿,袁志华,等.涪陵页岩气田焦石坝海相页岩气富集主控因素分析[J].非常规油气,2016,3(1):27-34.
[11]李斌,程长青.空间数据库技术实现定量古地理研究:以鄂尔多斯盆地中奥陶统一个三级层序的形成时间为例[J].地学前缘,2009,16(5):251-263.
[12]王刚,孟涛,邢立新,等.1∶25万地质图空间数据库的建立[J].吉林大学学报(地球科学版),2007(S1):213-216.