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基于数据挖掘的油气勘探开发事故分析

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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.
Oil and Gas Exploration and Development Accident Analysis Based on Data Mining
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.

Soil and Gas Exploration and DevelopmentData MiningApriori AlgorithmComplex Networks

柴天祥、樊建春、赵宏展、马娟、刘德昌

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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

油气勘探开发 数据挖掘 Apriori算法 复杂网络

2024

云南化工
云南省化工研究院 云天化集团有限责任公司 云南煤化工集团有限公司 云南省化学化工学会

云南化工

影响因子:0.272
ISSN:1004-275X
年,卷(期):2024.51(4)
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