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
对油气勘探开发事故之间的相关性进行了分析,以预防事故的发生.采用数据挖掘方法,运用Apriori算法对事故发生阶段、事故类型和事故后果展开了关联规则分析,构建了事故致因复杂网络模型.对挖掘出的强关联规则以及网络拓扑特征进行了分析,找出了油气勘探开发中的风险点和关键致因,为提高安全管理水平和预防事故发生提供了依据.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据