Simulation Technology in Failure Analysis of Drill Pipe

Liu, Yonggang; Li, Fangpo; Xu, Xin; biyu, Yang; Lu, Chao

doi:10.1016/j.proeng.2011.05.037

Cited by 18 publications

(4 citation statements)

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“…Other solutions to reduce the stress concentration effect at the upset area can be found in the literature, as in Ref. [23]. As concerns the analysis of the upset region, another scientific topic of interest is the erosion of the drilling fluid on the internal upset area, as investigated in Ref.…”

Section: Introductionmentioning

confidence: 99%

Resonant Fatigue Tests on Polished Drill Pipe Specimens

Santus,

Romanelli,

Bertini

et al. 2024

Machines

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In this study, the fatigue strength of polished drill pipe specimens was investigated and compared with previous test results of corroded and not-corroded pipes. The resonant fatigue test rig, which was designed and implemented by the University of Pisa, is initially presented by providing a detailed description of the set-up of the machine, the calibration of the strain gauges, the control system, and the correct identification of the vibrational node locations. A polishing rig was also designed and put into operation to remove the corrosion pits from the outer surface of almost the entire length of the drill pipe specimens. After the fatigue tests with the resonant rig, and the observation of the fatigue fracture of the specimens, a few samples were extracted from different zones (corroded and not corroded) of the failed drill pipe specimens. This allowed for investigations to be carried out using a scanning electronic microscope. The obtained results were analyzed using the Murakami model, and a discussion is presented about the effect of the corrosion pits on the fatigue strength.

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Section: Introductionmentioning

confidence: 99%

Resonant Fatigue Tests on Polished Drill Pipe Specimens

Santus,

Romanelli,

Bertini

et al. 2024

Machines

View full text Add to dashboard Cite

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“…In this context, many studies have been carried out aiming to identify the causes of crack generation and detect the weakest part of drill pipes. Li et al [14] conducted an analysis of the optimized design to avoid stress concentration. Similarly, Lin et al in [15] simulated the transition area to define the stress-distribution factors.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, Lin et al in [15] simulated the transition area to define the stress-distribution factors. Contrary to [14], the authors proposed two new types of transition areas that could distributed stress along the drill pipe.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Circular Arc Crack Depths and Locations in Rotary Drilling Pipes Subjected to Free Vibrations

et al. 2022

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Late detection of cracks can lead to serious failures and damages of drilling components, especially drill pipes and drill bits. Currently, the widely used method of repairing rotary drilling systems after a failure is corrective maintenance. Although this strategy has shown its effectiveness in many cases, waiting for a failure to occur and then performing a repair can be an expensive and time-consuming operation. Thus, the use of preventive maintenance under the aspect of periodic inspections can solve this problem and help engineers detect cracks before they reach critical sizes. In this study, modal analysis and finite element analysis (FEA) combined with artificial neural networks (ANN) were used to dynamically estimate the depth and location of a circular arc crack in the drill pipes of rotary drilling systems. To achieve this goal, a detailed analytical approach based on Euler–Bernoulli beam theory was adopted to validate the first four natural frequencies found by FEA for an undamaged pipe. Afterwards, an arc crack was assigned to the pipe already created using Abaqus, and the first four natural frequencies were obtained for each depth and location of the crack. Simulations with FEA led to the generation of a dataset with two inputs—depth and location of cracks—and four outputs: natural frequencies. Moreover, a multilayer perceptron (MLP) was designed and trained by the data collected from simulations. Finally, a comparison between the results obtained by FEA and ANN was performed, where both approaches showed a good agreement in predicting the depth and location of cracks.

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“…Therefore, in order to protect a drill-string and to enhance rates of penetration, stick-slip oscillations should be suppressed [24][25][26].…”

Section: Introductionmentioning

confidence: 99%