Prediction of Coiled Tubing Erosion Rate Based on Sparrow Search Algorithm Back-Propagation Neural Network Model DOI Creative Commons
Yinping Cao,

Fengying Fang,

Guowei Wang

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9519 - 9519

Published: Oct. 18, 2024

Coiled tubing has been widely used in oilfield development because it can significantly improve oil well productivity and recovery efficiency. However, with the increase fracturing, drilling, sand-washing operations, erosion of coiled walls caused by solid particles become one main failure modes. To accurately predict rate tubing, this study studied influence law through experiments, screened influencing factors grey relational analysis (GRA), established a back-propagation neural network (BPNN) model optimized sparrow search algorithm (SSA) to rate. The results show that for are impact velocity, angle, sand concentration. In addition, SSA-BPNN shows high goodness fit (R) good experimental data. underwent standard statistical validation tests, effectively predicting coefficient determination low errors, demonstrating robust consistency between predicted actual values. This is great significance engineers, pipeline designers, developers, provides effective support optimizing maintenance. users include companies, engineering consulting institutions related industry personnel, may also attract interest scientific research academia, providing useful reference technological progress industry.

Language: Английский

Study of the mechanism of corrosion initiation and development in the elbow of a desulfurization unit DOI
Guoqing Su, Yan Li, Jianwen Zhang

et al.

Engineering Failure Analysis, Journal Year: 2023, Volume and Issue: 150, P. 107341 - 107341

Published: May 19, 2023

Language: Английский

Citations

8
Failure analysis of erosion wear of the pipeline after 30° elbow by adsorbent particles DOI
Guoqing Su, Jianwen Zhang

Engineering Failure Analysis, Journal Year: 2024, Volume and Issue: unknown, P. 108883 - 108883

Published: Sept. 1, 2024

Language: Английский

Citations

1
Numerical prediction of erosion damage in sandy foam extraction fluid of gas extraction pipeline DOI
Ming Chen, Yingjian Zhang, Hao Li

et al.

Published: May 13, 2024

Gas extraction wellbore and surface pipelines are prone to wall thinning, puncture leakage, fracture under the erosion of sandy fluid, which seriously affects safety gas extraction. In this paper, using discrete numerical method particle-containing multiphase flow, we establish an damage prediction model a pipeline calculate rate different production rates for oil at wellhead wells, elbow on surface, get amount damage. The calculation results reflect ground with thinning amount, local bending rate, formation distribution values. can provide reference controlling flow wells evaluating conditions.

Language: Английский

Citations

0
Research on the Influence of Changes in Slip Structure on the Residual Strength of Casing DOI
Liang Zhang, Tao Li, Teng Zhang

et al.

Journal of Failure Analysis and Prevention, Journal Year: 2024, Volume and Issue: 24(4), P. 1674 - 1688

Published: May 28, 2024

Language: Английский

Citations

0
Study on Erosion Model Optimization and Damage Law of Coiled Tubing DOI Creative Commons
Binqi Zhang, Jingen Deng, Hai Lin

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(6), P. 2775 - 2775

Published: March 16, 2023

Coiled tubing (CT) is used as a velocity string to transport high-velocity gas in drainage recovery technology. Sand particles flowing at high speed can cause serious erosion of the pipe wall. Long-term wear leads degradation strength and even local perforation. In order study problem CT, gas–solid experimental device was established for full-size with different radii curvature. A 3D laser confocal technique examine characterize microscopic morphology inner wall CT. The CFD model selected based on test data results Finnie show minimal error good agreement compared other models. average value maximum rate curvature 8.3%. effect radius curvature, solid particle size CT analyzed model. reveal that occurs CT’s outer bend. As reduced, area increase, position gradually shifts toward inlet. positively correlated flow rate. However, increases, shows trend first increasing, then decreasing finally stabilizing, critical 200 μm. This provide theoretical guidance methods improving service life old wells be reduced by controlling production employing appropriate sand control methods, while new adjusting wellbore trajectory.

Language: Английский

Citations

1
Prediction of Coiled Tubing Erosion Rate Based on Sparrow Search Algorithm Back-Propagation Neural Network Model DOI Creative Commons
Yinping Cao,

Fengying Fang,

Guowei Wang

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9519 - 9519

Published: Oct. 18, 2024

Coiled tubing has been widely used in oilfield development because it can significantly improve oil well productivity and recovery efficiency. However, with the increase fracturing, drilling, sand-washing operations, erosion of coiled walls caused by solid particles become one main failure modes. To accurately predict rate tubing, this study studied influence law through experiments, screened influencing factors grey relational analysis (GRA), established a back-propagation neural network (BPNN) model optimized sparrow search algorithm (SSA) to rate. The results show that for are impact velocity, angle, sand concentration. In addition, SSA-BPNN shows high goodness fit (R) good experimental data. underwent standard statistical validation tests, effectively predicting coefficient determination low errors, demonstrating robust consistency between predicted actual values. This is great significance engineers, pipeline designers, developers, provides effective support optimizing maintenance. users include companies, engineering consulting institutions related industry personnel, may also attract interest scientific research academia, providing useful reference technological progress industry.

Language: Английский

Citations

0