A novel algorithm for pipeline displacement and bending strain of in-line inspection based on inertia measurement technology

Liu, Shucong; Zheng, Dezhi; Wang, Tianhao; Li, Rui; Feng, Qingsong

doi:10.1177/1687814018816755

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Based on the above analytical calculation method for pipeline bending strain, it can be seen that within the elastic deformation range, the bending strain of the pipeline is directly proportional to the change in curvature. Therefore, when calculating pipeline bending strain, the curvature of the pipeline should be calculated first.Among them, the pitch change of the internal detector represents the change in inclination angle of the pipeline relative to the horizontal plane in a fixed observation pipeline, and the heading represents the angle between the direction along the pipeline and the due north direction [14] , as follows: Where: kv is the curvature of the pipeline in the horizontal plane; kh is the curvature of the vertical plane of the pipeline; ĳ is the pitch Angle of the inertial measurement device along the vertical tangent direction of the pipe, (°); ǻs is the length of the fixed pipe section, m; ǻĮ is the angular change of the inertial measurement device along the horizontal tangent direction of the pipe, (°).…”

Section: Bending Strain Solution Based On Imu Attitude Datamentioning

confidence: 99%

Error analysis of IMU pipeline bending strain detection based on full-scale test

Shi,

Liu,

et al. 2024

J. Phys.: Conf. Ser.

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The strain identification technology based on inertial mapping unit (IMU) internal detectors is currently a widely used internal detection technology for identifying pipeline bending strain both domestically and internationally. It calculates the bending strain of the entire pipeline through the detected centerline coordinate data. However, there are issues such as abnormal vibration and noise during the actual operation of the inertial navigation internal detector, as well as trajectory deviation during the detector’s operation. This issue leads to a certain deviation between the strain detected by IMU and the actual strain of the pipeline. This article utilizes a self-designed full size pipeline bending strain loading device to conduct full size pipeline bending strain tensile tests. Compare the internal detection data obtained from the experiment with the actual bending strain data of the pipeline and conduct error analysis. The research conclusion indicates that as the bending strain increases, the error between the IMU detection strain and the actual strain of the pipeline increases. When there is vibration noise, the maximum error is 0.077% for 0.33% true strain, and the maximum error rate for larger strain segments is 27.1%. The comparison between noise reduction detection data and true strain shows that when the true strain is 0.12%, 0.21%, and 0.33%, the average error is 0.0285%, 0.0315%, and 0.0555%, respectively. The research conclusion provides technical support and guidance for obtaining true strain of pipelines based on IMU internal detection in the future.

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Section: Bending Strain Solution Based On Imu Attitude Datamentioning

confidence: 99%

Error analysis of IMU pipeline bending strain detection based on full-scale test

Shi,

Liu,

et al. 2024

J. Phys.: Conf. Ser.

Self Cite

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“…After obtaining the precise coordinates of the entire pipeline, the attitude information (pitch and azimuth) and coordinates of the entire IIT are used to calculate the PBS. 6,7 However, the cups or support wheels of the ILI tool encounter the pipe wall, girth or spiral welds, and other features that lead to minor oscillations and vibration during the inspection. The attitude information computed by the IMU is affected by these noises.…”

Section: Introductionmentioning

confidence: 99%

An efficient adaptive combined filtering method for pipeline bending strain based on inertial in-line inspection

Liu

Wang

Li³

2022

Measurement and Control

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Long-distance high-pressure oil and gas pipelines are threated by various external forces, such as earthquakes, landslides, and other third-party damages. These additional stresses will cause the pipeline to move and bend, which not only causes the pipeline to undergo a large bending strain, but will also causes the pipeline to fail in severe cases. In-line inspection (ILI) based on strapdown inertial navigation technology has become an effective inspection method for long-distance pipelines in recent years. However, the cups or support wheels of the ILI tool encounter the pipe wall, girth or spiral welds, and other features that lead to minor oscillations and vibration during the inspection. The attitude information computed by the inertial measurement unit (IMU) is affected by these noises, and the computation of pipeline bending strain (PBS) is inaccurate. In this paper, an efficient adaptive combined filtering method based on wavelet transform with Savitzky–Golay (S-G) is proposed, which is adaptable to the variation of attitude information for the ILI tool during a long distance and time inspection. Experiments were conducted to demonstrate the effectiveness of the optimization for PBS. The average relative deviation decreased from 38.3% to 18.3%.

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Research and Method for In-line Inspection Technology of Girth Weld in Long-Distance Oil and Gas Pipeline

Chen¹,

Li²,

Fu³

et al. 2021

J. Phys.: Conf. Ser.

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With the increasing demand for energy, long-distance oil and gas pipeline has become the main mode of transportation of oil and gas resources. High pressure, inflammable and explosive medium, complex and changeable route environment and other factors make the safe transportation of pipeline concerned. The girth welds of oil and gas pipeline have always been the weak part of the pipeline due to the technical level during the construction, on-site welding practices and operation environment, and the girth weld cracking is one of the main failure forms of oil and gas pipeline. It is an effective way to ensure the safety of pipeline to adopt various advanced and targeted inspection to identify pipeline defects, judge the types of defects, and then carry out safety evaluation and maintenance. This paper analyzes the main failure factors of girth weld of oil and gas pipeline, and systematically summarizes the content and methods of various in-line inspection on girth weld in view of these failure factors, so as to provide reference for the development and application of in-line inspection technology on girth weld of oil and gas pipeline.

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A novel algorithm for pipeline displacement and bending strain of in-line inspection based on inertia measurement technology

Cited by 5 publications

References 8 publications

Error analysis of IMU pipeline bending strain detection based on full-scale test

Error analysis of IMU pipeline bending strain detection based on full-scale test

An efficient adaptive combined filtering method for pipeline bending strain based on inertial in-line inspection

Research and Method for In-line Inspection Technology of Girth Weld in Long-Distance Oil and Gas Pipeline

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