摘要
在钻井生产过程中,大数据分析技术的应用受到广泛重视,其主要包括四个工作步骤:数据搜集与清洗、数据分析预测模型的建设、数据的信息化传输、建立专业性的钻井数据管理体系。为了将大数据分析技术的优势充分发挥出来,文章对此进行了探讨。
In the process of drilling production,the application of large data analysis technology has received extensive attention,mainly including four working steps:data collection and cleaning,data analysis and prediction model construction,information transmission,and professional drilling data management system.To a certain extent,it can effectively evaluate the relevant models,so as to better optimize the processing.
作者
郭卫红
崔猛
葛云华
GUO Wei-hong;CUI Meng;GE Yun-hua(China Petroleum Group Engineering Technology Research Institute Co.,Ltd.,Beijing 102206,China)
出处
《化工管理》
2019年第19期59-60,共2页
Chemical Engineering Management
关键词
大数据分析技术
钻井生产
应用措施
large data analysis technology
drilling production
application measures
