Sampath Santhakumar, Bhattacharya Bishakh, Aryan Pouria, Sohn Hoon
Department of Civil & Environmental Engineering, KAIST, 291 Daehakro, Yuseong-gu, Daejeon 34141, Korea.
Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India.
Sensors (Basel). 2019 Aug 20;19(16):3615. doi: 10.3390/s19163615.
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.
腐蚀被认为是石油和天然气行业管道故障的最主要原因之一,通常在不中断服务的情况下,很难在管道内表面检测到。油气管道的实时检测对于减少事故和维护成本以及提高油气运输效率极为重要。本文提出了一种用于管道实时检测和无损评估(NDE)的新型非接触式光学传感器阵列方法。所提出的光学方法由发光二极管(LED)和光敏电阻(LDR)组成,用于发射光并接收来自管道内表面的反射光。该方法的独特之处在于,基于在管道中使用光学传感器阵列,它能够准确检测腐蚀缺陷并对其进行定位,并且该系统可以灵活应用于不同服务、尺寸和材料的管道,同时该方法具有经济可行性。进行了考虑不同特征和尺寸腐蚀缺陷的实验研究,以确认该方法的稳健性和准确性。使用离散小波变换(DWT)对获得的数据进行处理,以消除噪声并提取特征。研究了不同物理参数(如检测速度和提离距离)下腐蚀缺陷的估计尺寸,最后,基于将所提出的方法应用于在线开发的智能管道检测规(PIG)进行在线检测(ILI)应用进行了一些初步测试,并取得了成功。