|本期目录/Table of Contents|

[1]张认认,闫怡飞,杨尚谕,等.稠油热采井管柱失效动态风险分析研究[J].中国安全生产科学技术,2018,14(3):121-128.[doi:10.11731/j.issn.1673-193x.2018.03.018]
　ZHANG Renren,YAN Yifei,YANG Shangyu,et al.Dynamic risk analysis on string failure of heavy oil thermal-recovery well[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(3):121-128.[doi:10.11731/j.issn.1673-193x.2018.03.018]
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稠油热采井管柱失效动态风险分析研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
14
期数:
2018年3期
页码:
121-128
栏目:
职业安全卫生管理与技术
出版日期:
2018-03-31

文章信息/Info

Title:
Dynamic risk analysis on string failure of heavy oil thermal-recovery well
文章编号:
1673-193X(2018)-03-0121-08
作者:
张认认1; 2;  闫怡飞1; 2; 杨尚谕3; 韩礼红3; 闫相祯2
（1.中国石油大学(华东) 机电工程学院，山东 青岛 266580；2.中国石油大学(华东) CAE技术研究中心，山东 青岛 266580； 3.中石油集团公司管材研究所，陕西 西安，710065）
Author(s):
ZHANG Renren1; 2;  YAN Yifei1; 2;  YANG Shangyu3;  HAN Lihong3;  YAN Xiangzhen2
(1. College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao Shandong 266580, China; 2. Oil and Gas CAE Technology Research Center, China University of Petroleum, Qingdao Shandong 266580, China; 3. CNPC Tubular Goods Research Institute, Xi'an Shaanxi 710065, China)
关键词:
热采井管柱; 故障树; 贝叶斯网络; 失效分析; 风险分析
Keywords:
string of thermal-recovery well;  fault tree;  Bayesian network;  failure analysis;  risk analysis
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2018.03.018
文献标志码:
A
摘要:
为保证稠油热采井筒管柱的安全运行，采用故障树与贝叶斯网络相结合的方法开展稠油热采井管柱失效风险分析，应用故障树分析方法定性识别管柱失效诱因，建立稠油热采井管柱失效场景演化模型，并将故障树转化为贝叶斯网络模型，应用贝叶斯网络对管柱失效风险进行定量分析，得出热采井管柱失效的关键致因和管柱失效的动态失效概率，以新疆油田某区块热采井的管柱失效为对象进行了案例分析。研究结果表明，该方法可为稠油热采井管柱失效风险分析及井筒完整性管理提供理论支撑和工程设计参考。
Abstract:
To ensure the safe operation of wellbore string in the heavy oil thermal-recovery well, the fault tree and Bayesian network were combined to analyze the failure risk of string in the heavy oil thermal-recovery well. The method of fault tree analysis was used to identify the failure incentives of string qualitatively, and an evolution model of failure scenarios for the string in the heavy oil thermal-recovery well was established. The fault tree was converted into the Bayesian network model, and the Bayesian network was applied to quantitatively analyze the failure risk of string. The key causes and dynamic failure probability of string failure in the thermal-recovery well were obtained, and a case analysis was carried out by taking the string failure of the thermal-recovery well in a certain block of Xinjiang Oilfield as the object. The results showed that this method can provide the theoretical support and engineering design reference for the risk analysis on string failure and wellbore integrity management of the heavy oil thermal-recovery wells.

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备注/Memo

备注/Memo:
国家自然科学基金项目(51374228)；国家科技重大专项（2016ZX05017-003）；中国博士后科学基金项目(2017M612375) ；中石油科技计划项目（2016A-3905)
更新日期/Last Update: 2018-04-11