石油钻井行业安全监督大数据分析及应用方法探究  

Study on Analysis and Application Methods of HSE Big Data

作　　者：唐桃 张麟豪 王浩多 周宇炜 周彤彤 TANG Tao;ZHANG Lin-hao;WANG Hao-duo;ZHOU Yu-wei;ZHOU Tong-tong(CCDC Safety,Environment,Quality Supervision&Testing Research Institute,Sichuan Guanghan 618300,China)

机构地区：[1]川庆钻探工程有限公司安全环保质量监督检测研究院,四川广汉618300

出　　处：《广州化工》2021年第23期233-235,共3页GuangZhou Chemical Industry

摘　　要：随着石油钻井行业作业现场安全生产信息采集和管理的电子化发展,如何利用大数据技术处理和分析数量不断膨胀的原始数据在增效减负、风险预测和控制上显得至关重要。本文将着重探究一套适用于石油钻井行业安全监督数据管理的标准化预处理模式,并结合现场生产实际需求、综合考量当前各要素的相关性对分析维度适当扩增,形成安全监督大数据分析及应用模板,为石油钻井行业现场风险把控和安全生产管理提供明晰的工作方向。With the electronic development of collection and management methods on work scene safety production information in drilling site,how to apply big data technology to process and analyze the ever-expanding amount of raw data gets increasingly crucial for reducing workers'heavy burden,enhancing efficiency and precision in risk prediction and control.A set of standardized pre-processing models suitable for HSE data management were explored,and HSE big data analysis and application templates were formed by the means of expanding the analysis dimensions appropriately after comprehensive consideration on the actual needs of on-site production and the correlation of data elements,which can propose practical and feasible suggestions and provide much clearer instructions for on-site risk control and safety production management.

关 键 词：文本标准化 相关性 分析增维 分析模板 

分 类 号：TE28[石油与天然气工程—油气井工程]