Two-dimensional profile reconstruction and process technology for pipeline defect

doi:10.7623/syxb200306021

Editorial office of ACTA PETROLEI SINICA ›› 2003, Vol. 24 ›› Issue (6): 98-101,106.DOI: 10.7623/syxb200306021

• Petroleum Engineering • Previous Articles Next Articles

Two-dimensional profile reconstruction and process technology for pipeline defect

WEI Mao-an^1,2, JIN Shi-jiu¹, LI Ying-ying¹, CUI Qian^1,2

1. State Key Laboratory of Precision Measuring Technology and Instrument, Tianjin University, Tianjin 300072, China;
2. Shengli Oilfield Drilling Research Institute, Dongying 257000, China

Received:2002-10-14 Revised:2003-02-28 Online:2003-11-25 Published:2010-05-21

油气管道缺陷二维轮廓重建及处理技术

魏茂安^1,2, 靳世久¹, 李莺莺¹, 崔谦^1,2

1. 天津大学精密测试技术及仪器国家重点实验室, 天津, 300072;
2. 胜利油田钻井工艺研究院, 山东东营, 257000

作者简介:魏茂安,男,1966年1月生,2000年毕业于石油大学自动化控制理论与控制工程专业,获工学硕士学位,高级工程师;2001年于天津大学精密仪器与光电子工程学院攻读博士学位,主要从事数字图像处理、工业自动化控制、精密测试技术及仪器研究工作.
基金资助:
国家自然科学基金资助项目(69974025).

Abstract

Abstract: At present, the signal of magnetic flux leakage (MFL) reflecting gas pipeline defect is got with the inspecting devices, and then the inspectors analyze the signal waves to determine the position of defect on their experiences. Due to the huge ntunber of data, the pipeline defect could not be expressed by certain image, and the efficiency is very low. An improved MFL inspection technology for inspection of pipeline defect was introduced. The actual data acquired from a pipeline of 457 nun in diameter were pre-processed to create the two-dimensional defect images. The images were further processed using Labview software. The processing methods include image denoising, smoothing, filtering and sharpening processes. The defect profile created by using NFL signal could be showed clearly. This technology can greatly enhance the efficiency and reliability of data analysis.

Key words: oil and gas pipeline, magnetic flux leakage inspection, defect profile, reconstruction, image smoothing, image sharpening

摘要： 目前,我国油气管道缺陷的检测主要是通过漏磁检测装置来完成,检测人员根据经验分析波形以了解管道缺陷状况。但这种方式的数据分析工作量大、效率低。介绍了漏磁检测装置的工作原理,对管道漏磁检测装置在φ457mm管道中实际采集的数据进行了预处理和图形转换,将漏磁检测数据重建生成二维缺陷轮廓,并用图形编程软件Labview对上述图像进行噪声消除、平滑、滤波、锐化处理,这样可以直观和清晰地显示根据磁漏生成的缺陷轮廓,提高了管道监测数据分析效率及可靠性。

关键词: 油气管道, 漏磁检测, 缺陷轮廓, 重建, 图像平滑, 图像锐化

CLC Number:

TE79

WEI Mao-an, JIN Shi-jiu, LI Ying-ying, CUI Qian. Two-dimensional profile reconstruction and process technology for pipeline defect[J]. Editorial office of ACTA PETROLEI SINICA, 2003, 24(6): 98-101,106.

魏茂安, 靳世久, 李莺莺, 崔谦. 油气管道缺陷二维轮廓重建及处理技术[J]. 石油学报, 2003, 24(6): 98-101,106.

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Two-dimensional profile reconstruction and process technology for pipeline defect

油气管道缺陷二维轮廓重建及处理技术

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