Performance inspection and defect cause analysis of girth weld of high steel grade pipeline

Xu, Yan; Wu, Mingchang; Xianghui, Nie; Feng, Zhenjun; Li, Liang; Yang, Fengping

doi:10.1088/1742-6596/2262/1/012006

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…Many factors affect the failure risk of girth welds in oil and gas transmission pipelines, but the industry generally agrees that the three key factors are the pipe materials and properties, weld defects, and loads [26,30]. Based on the samples collected, the factors that cause girth weld failures can be divided into three categories: pipe type and performancerelated indicators, defect-related indicators, and load-related indicators.…”

Section: Influencing Factors and Normalizationmentioning

confidence: 99%

Failure Risk Prediction Model for Girth Welds in High-Strength Steel Pipeline Based on Historical Data and Artificial Neural Network

Wang

Zhang

Guo³

et al. 2023

Processes

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Pipelines are the most economical and sensible way to transport oil and gas. Long-distance oil and gas pipelines consist of many steel pipes or pipe fittings joined by welded girth welds, so girth welds are an essential part of pipelines. Owing to the limitations of welding conditions and the complexity of controlling weld quality in the field, some defects are inevitably present in girth welds and adjacent weld areas. These defects can lead to pipeline safety problems; therefore, it is necessary to perform failure risk assessment of pipeline girth welds. In this study, an artificial neural network model was proposed to predict the failure risk of pipeline girth welds with defects. Firstly, many pipeline girth weld failure cases, pipeline excavation, and inspection data were collected and analyzed to determine the main factors influencing girth weld failure. Secondly, a spatial orthogonal optimization method was used to select training samples for the artificial neural network model to ensure that the training sample set could cover the feature space with a minimum number of samples. Thirdly, a prediction model based on BP neural networks was established to predict the failure risk levels. The training dataset/testing dataset was 602/4215, and the prediction accuracy for all risks of girth welds achieved an acceptable level. This study can provide a valuable reference for pipeline operators to prevent pipeline accidents.

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Section: Influencing Factors and Normalizationmentioning

confidence: 99%

Failure Risk Prediction Model for Girth Welds in High-Strength Steel Pipeline Based on Historical Data and Artificial Neural Network

Wang

Zhang

Guo³

et al. 2023

Processes

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show abstract

“…Almost all long-distance oil and gas pipelines and station facilities pipelines are completed by the welding process. Welding quality directly affects the safety of pipelines and station facilities along the line [1][2][3][4][5][6][7] . According to statistics, most of the pipeline failure cases are caused by girth weld defects, and the more complex the butt structure, the greater the probability of failure.…”

Section: Introductionmentioning

confidence: 99%

Quality inspection and defect analysis of girth weld in oil and gas long-distance pipeline

Xu¹,

Wu²,

Nie³

et al. 2023

International Conference on Optoelectronic Materials and Devices (ICOMD 2022)

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To find out the causes of the girth weld defects in pipeline inspection and verify the weld quality, this paper implements the methods of radiographic inspection, mechanical inspection, and metallographic inspection to carry out experimental tests. The results show that the girth weld has good tensile property, poor impact toughness, reasonable distribution of hardness value, larger cover welding of the weld at 6 o 'clock position, repair welding phenomenon exists at the bottom welding position, and the crack originates from the groove of the bottom welding is non-fusion defect, which is not cleared in time during repair welding, and eventually expands to the filler welding metal, forming a crack.

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Analysis of causes of failure of site welded butt joints of main pipelines after long-term operation

Nyrkova¹,

Goncharenko²

2023

Avtom. svarka (Kiev)

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Performance inspection and defect cause analysis of girth weld of high steel grade pipeline

Cited by 4 publications

References 7 publications

Failure Risk Prediction Model for Girth Welds in High-Strength Steel Pipeline Based on Historical Data and Artificial Neural Network

Failure Risk Prediction Model for Girth Welds in High-Strength Steel Pipeline Based on Historical Data and Artificial Neural Network

Quality inspection and defect analysis of girth weld in oil and gas long-distance pipeline

Analysis of causes of failure of site welded butt joints of main pipelines after long-term operation

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