摘要
在油气输送过程中,因为载荷和腐蚀介质等因素的影响,油气金属管道很容易萌生缺陷而引发重大安全事故。点蚀与多点蚀缺陷是存在周期最长、最普遍、最有可能产生穿孔的高危缺陷,因此对金属管道工作过程中的在线检测与安全评估一直是油气输送技术领域研究的重点和热点。作者考虑了多个点蚀及点蚀之间的相互作用,根据美国石油协会的API-579的技术标准,研究点蚀占比对剩余强度的影响,建立对金属管道点蚀缺陷剩余强度的统一评价模型,也称无缝表征评价函数;然后,将无缝表征模型与场指纹法(FSM)管道腐蚀监测技术相结合,运用基于FSM技术的管道腐蚀3维模型获取点蚀占比、剩余壁厚等在役管道参数,通过无缝表征模型评价管道安全并构建面向全域生产管线的安全评估决策及安全预警系统。该评估系统完善了FSM技术对点蚀缺陷的安全评估,同时也实现了无缝表征模型计算中的在线评估。油气田现场试验表明这个安全评估系统具有一定的实际应用价值。
In the process of oil and gas transportation,under the influence of load,corrosive medium and other factors,oil and gas metal pipelines are prone to sprout defects and lead to major safety accidents.Pitting and pitting defects are the most common and high-risk defects with the longest period,which are most likely to produce perforation.Therefore,online detection and safety assessment in the process of metal pipeline work has always been the focus and hot spot in the field of oil and gas transportation technology.Based on API-579,the influence of pitting ratio on the residual strength is studied,and a unified evaluation model for the residual strength of pitting defects of metal pipelines,also known as the seamless characterization evaluation function is established.Then,the seamless characterization model and field fingerprint method(FSM)pipeline corrosion monitoring technology are combined to operate.The three-dimensional model of pipeline corrosion based on by FSM technology is used to obtain the in-service pipeline parameters,such as pitting ratio,residual wall thickness,etc.,which are applied to evaluate the pipeline safety through seamless representation model,and to build the safety assessment decision-making and safety early warning system for the whole production pipeline.The system not only improves the safety assessment of FSM technology for pitting defects,but also realizes the online assessment in the calculation of seamless representation model.The field test of oil and gas field shows that the safety assessment system has certain practical application value.
作者
HOANG Van Thanh
龙伟
李炎炎
黄仕磊
胥鑫
HOANG Van Thanh;LONG Wei;LI Yanyan;HUANG Shilei;XU Xin(School of Mechanical Eng.,Sichuan Univ.,Chengdu 610065,China;Vietnam Maritime Univ.,Haiphong 180000,Vietnam)
出处
《工程科学与技术》
EI
CAS
CSCD
北大核心
2021年第1期162-169,共8页
Advanced Engineering Sciences
基金
国家自然科学基金项目(51875371
51704199)
四川省科学技术厅重点研发项目(2019YFG0347)。
关键词
安全评估
点蚀缺陷
场指纹法
无缝表征模型
缺陷监测
safety assessment
pitting defect
field fingerprint method
non-discrete characterization model
defect monitoring
