A Compensation Method for Spiral Error of Pipeline Bending Strain In-Line Inspection

被引:5
|
作者
Liu, Shucong [1 ,2 ]
Zheng, Dezhi [1 ]
Dai, Mengxi [1 ]
Chen, Pengchao [3 ]
机构
[1] Beihang Univ, Sch Instrumentat Sci & Optoelect Engn, 37 Xueyuan Rd, Beijing 100191, Peoples R China
[2] Inst Disaster Prevent, Xueyuan St, Beijing 065201, Peoples R China
[3] Petrochina Pipeline Co, 408 Xinkai Rd, Guangyang Dist 065000, Langfang, Peoples R China
基金
国家重点研发计划;
关键词
long distance pipeline; in-line inspection; bending strain; spiral error compensation; NAVIGATION;
D O I
10.1520/JTE20180110
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
The in-line inspection tool with an inertia measurement unit (IMU tool) is used to measure the centerline coordinate and bending strain for the oil and gas pipeline. In order to prevent the partial wear during inspection, the tool is used to install the supporting wheel at a regular angle to rotate circumferentially. However, the spiral errors are produced during the course of inspection and thus affect the accuracy of centerline and bending strain. To improve the inspection precision and reduce the incidences of spiral error, this article presents a spiral error compensation method not only to improve the inspection precision of centerline mapping, but also to calibrate and compensate for the bending strain of pipeline. The field pull through test was carried out in a section of oil pipeline, and the results showed that the spiral error could practically be eliminated, with the maximum repetition error reducing from 0.17 to 0.06 m, and the precision of pipeline bending strain descending effectively from 0.04 to 0.02 %. The proposed method proved to be effective for improving the inspection accuracy of pipeline displacement and strain inspection.
引用
收藏
页码:3372 / 3386
页数:15
相关论文
共 50 条
  • [11] A Novel Feature Identification Method of Pipeline In-Line Inspected Bending Strain Based on Optimized Deep Belief Network Model
    Liu, Shucong
    Wang, Hongjun
    Li, Rui
    Ji, Beilei
    ENERGIES, 2022, 15 (04)
  • [12] Matching pipeline In-line inspection data for corrosion characterization
    Liu, Huan
    Liu, Zheng
    Taylor, Brandon
    Dong, Haobin
    NDT & E INTERNATIONAL, 2019, 101 : 44 - 52
  • [13] ALGORITHM AND APPLICATION OF PIPELINE IN-LINE INSPECTION DATA ALIGNMENT
    Cui Kaiyan
    PROCEEDINGS OF ASME 2022 PRESSURE VESSELS AND PIPING CONFERENCE, PVP2022, VOL 5, 2022,
  • [14] Compensation Method for Pipeline Centerline Measurement of in-Line Inspection during Odometer Slips Based on Multi-Sensor Fusion and LSTM Network
    Liu, Shucong
    Zheng, Dezhi
    Li, Rui
    SENSORS, 2019, 19 (17)
  • [15] Analysis of the corroded pipeline segments using in-line inspection data
    Seleznev, V
    Aleshin, V
    Kobyakov, V
    8th International Conference of the Slovenian Society for Non-Destructive Testing, Conference Proceedings: APPLICATION OF CONTEMPORARY NON-DESTRUCTIVE TESTING IN ENGINEERING, 2005, : 383 - 389
  • [16] In-line inspection methods and tools for oil and gas pipeline: A review
    Zhang, Jia
    Sun, Mingnan
    Qin, Lin
    Lin, Dong
    Liu, Chang
    Li, Jing
    Li, Chaolang
    Wen, Shaomu
    Han, Chuanjun
    INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2025, 214
  • [17] Development and application of new technologies and equipments for in-line pipeline inspection
    Hu T.
    Guo J.
    Natural Gas Industry, 2019, 39 (01) : 118 - 124
  • [18] A review on pipeline integrity management utilizing in-line inspection data
    Xie, Mingjiang
    Tian, Zhigang
    ENGINEERING FAILURE ANALYSIS, 2018, 92 : 222 - 239
  • [19] Pipeline Mapping with Next Generation Spherical In-Line Inspection Tools
    Kennedy, Marshall
    Toffin, Eric
    Down, Alexander
    PIPELINES 2024: CONDITION ASSESSMENT, 2024, : 222 - 231
  • [20] Automated matching of pipeline corrosion features from in-line inspection data
    Dann, Markus R.
    Dann, Christoph
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 162 : 40 - 50