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基于Kriging模型的特殊螺纹油管和套管接头密封可靠性分析
刘文红1,林凯1,冯耀荣1,王鹏1,谢俊峰2,杨向同2
(1.中国石油集团石油管工程技术研究院石油管材及装备材料服役行为与结构安全国家重点实验室,陕西西安 710077;2.中国石油股份有限公司塔里木油田分公司,新疆库尔勒 841000)
摘要:
以某型特殊螺纹接头为分析对象,建立该特殊螺纹密封可靠性功能函数,通过有限元方法对螺纹接头进行载荷包络线试验仿真,确定载荷包络线试验中螺纹接头密封失效的最危险载荷点。基于该最危险载荷点,通过随机化影响特殊螺纹密封性能的11个参量,利用Kriging代理模型对螺纹接头进行可靠性分析,确定其在载荷包络线试验中最危险载荷点下的密封可靠度。结果表明:基于Kriging模型的密封可靠性分析是评价特殊螺纹接头密封性能的一种有效方法,能够满足工程应用的需要,可用于特殊螺纹接头的设计、优化和选用。
关键词:  特殊螺纹接头  密封  可靠性  有限元  Kriging模型
DOI:10.3969/j.issn.1673-5005.2016.03.022
分类号::TE 925
基金项目:国家科技重大专项(2016ZX05020-003);中国石油天然气集团公司科学技术项目(2011A-4208,4A-4214)
Analysis of sealing reliability for premium connection casing and tubing based on Kriging model
LIU Wenhong1, LIN Kai1, FENG Yaorong1, WANG Peng1, XIE Junfeng2, YANG Xiangtong2
(1.State Key Laboratory of Performance and Structure Safety for Petroleum Tubular Goods and Equipment Materials in CNPC Tubular Goods Research Institute,Xi 'an 710077, China;2.Tarim Oil Field Branch of PetroChina, Korla 841000, China)
Abstract:
Taking a type of casing premium connection as the analysis object, a function was constructed to evaluate the sealing reliability of the connection, and the load envelope was simulated by using the finite element method. The worst sealing point of the connection was determined during the sealing failure test. Based on the most dangerous load point during the load envelope test, by randomizing effect of the premium connection sealing performance of 11 parameters, the sealing reliability of the casing premium connection was assessed during the test of load envelope using the Kriging surrogate model. The sealing reliability of the connection at the worst load point was obtained. The results show that the Kriging model is an effective method in the evaluation of premium connection sealing reliability based on performance, and it can satisfy the need of engineering application, which is used for the design, optimization and selection of casing and tubing premium connections.
Key words:  premium connection  sealing  reliability  finite element analysis  Kriging model
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