Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia.
Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Sensors (Basel). 2022 Sep 2;22(17):6654. doi: 10.3390/s22176654.
Carbon-steel pipelines have mostly been utilized in the oil and gas (OG) industry owing to their strength and cost-effectiveness. However, the detection of corrosion under coating poses challenges for nondestructive (ND) pipeline monitoring techniques. One of the challenges is inaccessibility because of the pipeline structure, which leads to undetected corrosion, which possibly leads to catastrophic failure. The drawbacks of the existing ND methods for corrosion monitoring increase the need for novel frameworks in feature extraction, detection, and characterization of corrosion. This study begins with the explanations of the various types of corrosion in the carbon-steel pipeline in the OG industry and its prevention methods. A review of critical sensors integrated with various current ND corrosion monitoring systems is then presented. The importance of acoustic emission (AE) techniques over other ND methods is explained. AE data preprocessing methods are discussed. Several AE-based corrosion detection, prediction, and reliability assessment models for online pipeline condition monitoring are then highlighted. Finally, a discussion with future perspectives on corrosion monitoring followed by the significance and advantages of the emerging AE-based ND monitoring techniques is presented. The trends and identified issues are summarized with several recommendations for improvement in the OG industry.
由于强度和成本效益,油气(OG)行业大多使用碳钢管道。然而,涂层下腐蚀的检测对无损(ND)管道监测技术提出了挑战。其中一个挑战是由于管道结构而导致的检测不到的腐蚀,这可能导致灾难性的故障。现有的 ND 腐蚀监测方法的缺点增加了对新型框架在腐蚀的特征提取、检测和表征方面的需求。本研究首先解释了 OG 行业碳钢管道中各种类型的腐蚀及其预防方法。然后,对与各种当前 ND 腐蚀监测系统集成的关键传感器进行了综述。解释了声发射(AE)技术相对于其他 ND 方法的重要性。讨论了 AE 数据预处理方法。然后,重点介绍了几种基于 AE 的腐蚀检测、预测和可靠性评估模型,用于在线管道状态监测。最后,对未来的腐蚀监测进行了讨论,并介绍了新兴的基于 AE 的 ND 监测技术的意义和优势。总结了趋势和已确定的问题,并提出了一些改进 OG 行业的建议。