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作 者:刘少胡[1,2] 朱克勤 赵铭 江强 赵勇 戴佳芃 LIU Shaohu;ZHU Keqin;ZHAO Ming;JIANG Qiang;ZHAO Yong;DAI Jiapeng(School of Mechanical Engineering,Yangtze University,Jingzhou Hubei 434023,China;State Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization,Wuhan Hubei 430199,China;Shale Gas Exploitation Technology Service Company of Sinopec Jianghan Petroleum Engineering Company Limited,Wuhan Hubei 430070,China)
机构地区:[1]长江大学机械工程学院,湖北荆州434023 [2]低碳催化与二氧化碳利用全国重点实验室,湖北武汉430199 [3]中石化江汉石油工程有限公司页岩气开采技术服务公司,湖北武汉430070
出 处:《中国安全生产科学技术》2024年第11期70-76,共7页Journal of Safety Science and Technology
基 金:国家自然科学基金项目(52374002,51974036);湖北省高等学校优秀中青年科技创新团队计划项目(T2021035)。
摘 要:为提高连续管服役寿命评估的准确性和可靠性,构建连续管服役寿命实时预警系统。采用数据清洗方法提升采集数据质量,结合疲劳寿命与极限承载理论建立预警模型并考虑各种工况进行修正;基于Python和SQL数据库对系统进行开发,通过试验和国外系统软件进行对比分析。研究结果表明:系统疲劳寿命和极限承载理论模型的平均相对误差分别为8.07%和6.41%,最大累积疲劳寿命与国外系统软件最大绝对差值为2.06%,极限载荷范围基本一致。研究结果可准确评估连续管服役寿命,实现连续管服役寿命实时预警,保障连续管安全作业。In order to improve the accuracy and reliability of service life assessment of coiled tubing(CT),a real-time early-warning system for service life of CT was constructed.The method of data cleaning was adopted to improve the quality of collected data,and combined with the theory of fatigue life and ultimate bearing capacity,an early-warning model was established and modified according to various working conditions.The system was developed based on Python and SQL database,and it was compared with the test and foreign system software.The results show that the average relative errors of fatigue life and ultimate bearing capacity theoretical model of this system are 8.07%and 6.41%respectively,the maximum cumulative fatigue life of this system compared with the foreign system software is the maximum absolute difference of 2.06%,and the range of ultimate bearing capacity is the basically same.The research results can accurately evaluate the service life of CT,realize the real-time early-warning of the service life of CT,and ensure the safe operation of CT.
分 类 号:X937[环境科学与工程—安全科学]
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