Zinhle Mthimkhulu, H. Adebanjo, Timothy T. Adeliyi
{"title":"Designing A Frugal Inspection Robot for Detecting In-Pipe Leaks in The Oil And Gas Sector","authors":"Zinhle Mthimkhulu, H. Adebanjo, Timothy T. Adeliyi","doi":"10.1109/ICTAS56421.2023.10082747","DOIUrl":null,"url":null,"abstract":"Pipe inspection, according to the literature, is not the cleanest or safest job in the world, as inspectors must perform this critical activity in hazardous and difficult situations. As time-consuming as it is, they must be inspected because they are vulnerable to problems such as cracks and corrosion, which jeopardize their integrity. They must also be inspected regularly to ensure reliable operation and the safety of workers, equipment, and the environment. Inspection is essential because it monitors and maintains the integrity of aging infrastructure while also ensuring that it operates safely and without endangering the health of plant operators. Many corporations, mostly in developing countries, continue to use traditional oil and gas industry procedures to detect and repair leaks in pipeline networks, even though such approaches are time-consuming and dangerous to humans. The goal of this research is to create a frugal inspection robot for detecting in-pipe leaks in the oil and gas industry. In addition, using the robot's acquired images, an image processing technique will be used to detect in-pipe leaks. The frugal robot will be compared to industrial in-pipe inspection robots such as Pig, wheeled, walker/legged, and wall-pressed in terms of cost, flexibility, size, stability, and vertical mobility. According to the study's findings, the frugal inspection robot can detect in-pipe leaks.","PeriodicalId":158720,"journal":{"name":"2023 Conference on Information Communications Technology and Society (ICTAS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Conference on Information Communications Technology and Society (ICTAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTAS56421.2023.10082747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Pipe inspection, according to the literature, is not the cleanest or safest job in the world, as inspectors must perform this critical activity in hazardous and difficult situations. As time-consuming as it is, they must be inspected because they are vulnerable to problems such as cracks and corrosion, which jeopardize their integrity. They must also be inspected regularly to ensure reliable operation and the safety of workers, equipment, and the environment. Inspection is essential because it monitors and maintains the integrity of aging infrastructure while also ensuring that it operates safely and without endangering the health of plant operators. Many corporations, mostly in developing countries, continue to use traditional oil and gas industry procedures to detect and repair leaks in pipeline networks, even though such approaches are time-consuming and dangerous to humans. The goal of this research is to create a frugal inspection robot for detecting in-pipe leaks in the oil and gas industry. In addition, using the robot's acquired images, an image processing technique will be used to detect in-pipe leaks. The frugal robot will be compared to industrial in-pipe inspection robots such as Pig, wheeled, walker/legged, and wall-pressed in terms of cost, flexibility, size, stability, and vertical mobility. According to the study's findings, the frugal inspection robot can detect in-pipe leaks.