云南化工2024，Vol.51Issue(4)：178-182,5.DOI:10.3969/j.issn.1004-275X.2024.04.43
基于数据挖掘的油气勘探开发事故分析
Oil and Gas Exploration and Development Accident Analysis Based on Data Mining
柴天祥 1樊建春 2赵宏展 3马娟 3刘德昌3
作者信息
- 1. 中国石油大学(北京)安全与海洋工程学院,北京 100100||中国石化集团国际石油勘探开发有限公司,北京 100089
- 2. 中国石油大学(北京)安全与海洋工程学院,北京 100100
- 3. 中国石化集团国际石油勘探开发有限公司,北京 100089
- 折叠
摘要
Abstract
The correlation between oil and gas exploration and development accidents was analyzed to prevent the occurrence of accidents.Using data mining methods,the Apriori algorithm was used to analyze the association rules for the accident stages,accident types and accident conse-quences,and a complex network model of accident causation was constructed.The strong association rules and network topology characteristics were analyzed to identify the risk points and key causes in oil and gas exploration and development,which provides a basis for improving safety management and preventing accidents.关键词
油气勘探开发/数据挖掘/Apriori算法/复杂网络Key words
Soil and Gas Exploration and Development/Data Mining/Apriori Algorithm/Complex Networks分类
资源环境引用本文复制引用
柴天祥,樊建春,赵宏展,马娟,刘德昌..基于数据挖掘的油气勘探开发事故分析[J].云南化工,2024,51(4):178-182,5.
