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A Real-Time Non-Contact Method for In-Line Inspection of Oil and Gas Pipelines Using Optical Sensor Array

机译:使用光学传感器阵列的油气管道在线实时非接触式检测方法

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摘要

Corrosion is considered as one of the most predominant causes of pipeline failures in the oil and gas industry and normally cannot be easily detected at the inner surface of pipelines without service disruption. The real-time inspection of oil and gas pipelines is extremely vital to mitigate accidents and maintenance cost as well as to improve the oil and gas transport efficiency. In this paper, a new, non-contact optical sensor array method for real-time inspection and non-destructive evaluation (NDE) of pipelines is presented. The proposed optical method consists of light emitting diodes (LEDs) and light dependent resistors (LDRs) to send light and receive reflected light from the inner surface of pipelines. The uniqueness of the proposed method lies in its accurate detection as well as its localization of corrosion defects, based on the utilization of optical sensor array in the pipeline, and also the flexibility with which this system can be adopted for pipelines with different services, sizes, and materials, as well as the method’s economic viability. Experimental studies are conducted considering corrosion defects with different features and dimensions to confirm the robustness and accuracy of the method. The obtained data are processed with discrete wavelet transform (DWT) for noise cancelation and feature extraction. The estimated sizes of the corrosion defects for different physical parameters, such as inspection speed and lift-off distance, are investigated and, finally, some preliminary tests are conducted based on the implementation of the proposed method on an in-line developed smart pipeline inspection gauge (PIG) for in-line inspection (ILI) application, with resulting success.
机译:腐蚀被认为是石油和天然气工业中管道故障的最主要原因之一,通常在不中断服务的情况下,不容易在管道内表面检测到腐蚀。油气管道的实时检查对于减轻事故和维护成本以及提高油气运输效率至关重要。本文提出了一种新的非接触式光学传感器阵列方法,用于管道的实时检查和无损评估(NDE)。所提出的光学方法由发光二极管(LED)和光敏电阻(LDR)组成,以发送光并从管道的内表面接收反射光。所提出的方法的独特之处在于,它基于管道中光学传感器阵列的利用,能够准确地检测出腐蚀缺陷并对其进行定位,并且该系统可以灵活地用于具有不同服务,尺寸的管道。 ,材料以及该方法的经济可行性。考虑具有不同特征和尺寸的腐蚀缺陷进行了实验研究,以确认该方法的鲁棒性和准确性。使用离散小波变换(DWT)处理获得的数据,以进行噪声消除和特征提取。研究了不同物理参数(例如检查速度和提离距离)的腐蚀缺陷的估计大小,最后,基于该方法在在线开发的智能管道检查中的实施,进行了一些初步测试仪表(PIG)用于在线检查(ILI)应用,并取得了成功。

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