首页 | 本学科首页   官方微博 | 高级检索  
     检索      

运用贝叶斯网络量化诊断油井场所安全风险
引用本文:江海飞,赵春兰,刘雨馨,李小明.运用贝叶斯网络量化诊断油井场所安全风险[J].莆田学院学报,2014(2):10-14.
作者姓名:江海飞  赵春兰  刘雨馨  李小明
作者单位:西南石油大学理学院,四川成都610500
基金项目:四川省教育厅科技重点项目(13ZA0192)
摘    要:利用贝叶斯网络对某油井场所风险进行量化预测诊断,建立的模型有效地分析了各种风险因素,克服了传统模型对风险因素的简单化跟理想化。进一步说明了贝叶斯网络在操作风险管理中的高效性。

关 键 词:贝叶斯网络  模型  预测  油井场所  风险因素

The Application of Bayesian Network in Diagnosis and Prediction of the Risks in Oil Well
JIANG Hai-fei,ZHAO Chun-lan,LIU Yu-xin,LI Xiao-ming.The Application of Bayesian Network in Diagnosis and Prediction of the Risks in Oil Well[J].journal of putian university,2014(2):10-14.
Authors:JIANG Hai-fei  ZHAO Chun-lan  LIU Yu-xin  LI Xiao-ming
Institution:( School of Sciences, Southwest Petroleum University, Chengdu Sichuan 610500, China )
Abstract:Bayesian networks were used in the prediction and diagnosis of the risk in oil well. The established model effectively analyzes every risk factor and overcomes the simplification and idealization of the traditional model. It gives further explanation about the efficiency of Bayesian networks in operational risk management.
Keywords:Bayesian network  model  prediction  oil well  risk factors
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号