scholarly journals Fatigue Life Prediction of Coiled Tubing

2003 ◽  
Vol 52 (11) ◽  
pp. 1351-1356
Author(s):  
Takanori KATO ◽  
Miyuki YAMAMOTO ◽  
Isao SAWAGUCHI ◽  
Tetsuo YONEZAWA
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Coiled Tubing

Prebending Coiled Tubing and Its Fatigue Life Prediction

2012 ◽  
Vol 134 (3) ◽  
Author(s):  
Li Zifeng ◽  
Li Xuejiao ◽  
Wang Peng
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Interpolation Method ◽  
New Technology ◽  
High Stress ◽  
Mechanical Analysis ◽  
Fatigue Life Prediction ◽  
Oil Drilling ◽  
Coiled Tubing ◽  
Stress Cycling

Coiled tubing is widely used in oil drilling and production operations. However, extreme high stress variation of coiled tubing during the processes of pulling out, rolling in the reel, and passing through the gooseneck makes coiled tubing fatigue failure easily. Thus, it is of great importance to increase coiled tubing fatigue life. This paper introduces the new technology to improve the fatigue life of coiled tubing—the prebending coiled tubing technology; proceeds mechanical analysis and strength check of the prebending coiled tubing; analyzes stress cycling characteristics of the prebending coiled tubing in field operations; establishes the fatigue life prediction model of prebending coiled tubing under arbitrary cycle, on the basis of fatigue experimental data under the symmetric cycle and the pulsating cycle, with fitting and interpolation method; makes simple comparison of the fatigue life of the prebending coiled tubing with that of the straight coiled tubing. Preliminary calculations show that the prebending coiled tubing technology may improve the fatigue life of coiled tubing multiple times.

scholarly journals Improvement and determination of the influencing factors of coiled tubing fatigue life prediction

2019 ◽  
Vol 11 (9) ◽  
pp. 168781401988013 ◽  
Author(s):  
Zhao-ming Zhou ◽  
Jin-song Tan ◽  
Fu Wan ◽  
Bo Peng
Keyword(s):  
Fatigue Life ◽  
Prediction Model ◽  
Wall Thickness ◽  
Life Prediction ◽  
Detection Method ◽  
Fatigue Life Prediction ◽  
Thickness Reduction ◽  
Coiled Tubing ◽  
Defect Dimension ◽  
Life Prediction Model

The fatigue life prediction model cannot accurately predict the service life of coiled tubing operations, resulting in waste and accidental fracture of coiled tubing. This article introduces the fatigue life prediction model of coiled tubing and a detection system developed using weak magnetic detection method and eddy current detection method. The detection device is used to detect accurate defect dimension, wall thickness reduction, and diameter deformation to improve the accuracy of fatigue life prediction. Furthermore, the actual defect dimension is included in the fatigue life assessment calculation to eliminate the influence of the existing model on the immobilization of defects and corrosion influence factors. By analyzing field operation cases and measured values, the effects of defects, wall thickness reduction, and diameter growth on fatigue life are studied to improve the accuracy of parameters and the integrity of basic data in the calculation process. The influence of reverse bending and weld on fatigue life is discussed. The residual life can be predicted more accurately by combining field testing technology and fatigue life evaluation method. Field measurement input of fatigue life prediction model is the main means to improve its accuracy and practicability.

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