摘要
目前连续油管疲劳寿命预测模型并不能准确预测连续油管剩余寿命,造成连续油管的浪费和意外断裂事故,提高疲劳寿命预测的准确性是连续油管技术发展的关键技术。文章分析连续油管疲劳寿命预测模型及计算过程所采用参数存在理想化,利用连续油管在线实时检测装置实时检测壁厚值、直径和缺陷尺寸等参数作为疲劳寿命模型计算输入参数。分析利用直径、壁厚的测量值提高对疲劳寿命计算准确性案例,在线检测技术和疲劳寿命相结合的评价方法可更加准确预测剩余寿命。进一步将实际缺陷尺寸纳入疲劳寿命评估计算中,消除现有计算模型未考虑缺陷影响因子的不可靠性。连续油管现场实时检测将会更加标准化和普遍化,同样疲劳寿命预测模型与现场测量值相结合的评价方法是提高评价使用次数的准确性和可靠性的主要手段。
At present,the fatigue life prediction model of coiled tubing cannot accurately predict the residual life of coiled tubing,resulting in waste of coiled tubing and accidental fracture.Improving the accuracy of fatigue life prediction is the key technology for the development of coiled tubing technology.Previous research of the CT fatigue life prediction model and the calculation process parameters have been idealized,the current paper presents using measurements of diameter,wall thickness and defect size with online real-time detection device instead of input theory predicts parameters.Analysis and utilization of diameter,wall thickness measurements to improve the fatigue life calculation accuracy cases are discussed,the Hybrid Approach of on-line detection technology and the fatigue life evaluation method can more accurately predict the remaining life.In addition,the actual defect size is included in the fatigue life evaluation calculation,so as to eliminate the unreliability of the defect influencing factor which is not considered in the existing calculation model.Coiled tubing on-line real-time detection will be more standardization and generalization,the Hybrid Approach of the fatigue life prediction model with the field measured value is the main means to improve the accuracy and reliability of the evaluation times.
作者
万夫
周兆明
张健
周咏琳
王哲
WAN Fu;ZHOU Zhaoming;ZHANG Jian;ZHOU Yonglin;WANGZhe(HSE Quality Surveillance&Inspection Research Institute,CNPC Chuanqing Drilling Engineering Co.LTD.,Guanghan,Sichuan 613800,China;School of Mechatronics Engineering,Southwest Petroleum University,Chengdu 610500,China)
出处
《钻采工艺》
CAS
北大核心
2020年第6期9-12,I0001,共5页
Drilling & Production Technology
基金
四川省科技计划项目“连续油管在线检测智能评价系统”
中石油川庆钻探工程有限公司项目“连续油管在线检测系统及可靠性评价方法研究”
国家自然科学基金面上项目“极端条件下气井管柱耦联振动力学行为与控制基础理论研究”(编号:51974271)联合资助。
关键词
连续油管
疲劳寿命模型
在线检测
直径增长
壁厚减薄
coiled tubing
fatigue life model
on-line inspection
diameter growth
wall thickness reduction
