Pipeline In-Line Inspection Method, Instrumentation and Data Management
Pipelines play an important role in the national/international transportation of natural gas, petroleum products, and other energy resources. Pipelines are set up in different environments and consequently suffer various damage challenges, such as environmental electrochemical reaction, welding defe...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/11/3862 |
| _version_ | 1797531491589160960 |
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| author | Qiuping Ma Guiyun Tian Yanli Zeng Rui Li Huadong Song Zhen Wang Bin Gao Kun Zeng |
| author_facet | Qiuping Ma Guiyun Tian Yanli Zeng Rui Li Huadong Song Zhen Wang Bin Gao Kun Zeng |
| author_sort | Qiuping Ma |
| collection | DOAJ |
| description | Pipelines play an important role in the national/international transportation of natural gas, petroleum products, and other energy resources. Pipelines are set up in different environments and consequently suffer various damage challenges, such as environmental electrochemical reaction, welding defects, and external force damage, etc. Defects like metal loss, pitting, and cracks destroy the pipeline’s integrity and cause serious safety issues. This should be prevented before it occurs to ensure the safe operation of the pipeline. In recent years, different non-destructive testing (NDT) methods have been developed for in-line pipeline inspection. These are magnetic flux leakage (MFL) testing, ultrasonic testing (UT), electromagnetic acoustic technology (EMAT), eddy current testing (EC). Single modality or different kinds of integrated NDT system named Pipeline Inspection Gauge (PIG) or un-piggable robotic inspection systems have been developed. Moreover, data management in conjunction with historic data for condition-based pipeline maintenance becomes important as well. In this study, various inspection methods in association with non-destructive testing are investigated. The state of the art of PIGs, un-piggable robots, as well as instrumental applications, are systematically compared. Furthermore, data models and management are utilized for defect quantification, classification, failure prediction and maintenance. Finally, the challenges, problems, and development trends of pipeline inspection as well as data management are derived and discussed. |
| first_indexed | 2024-03-10T10:44:33Z |
| format | Article |
| id | doaj.art-106588625a97470ebf8cd998e4af0a28 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:44:33Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-106588625a97470ebf8cd998e4af0a282023-11-21T22:40:09ZengMDPI AGSensors1424-82202021-06-012111386210.3390/s21113862Pipeline In-Line Inspection Method, Instrumentation and Data ManagementQiuping Ma0Guiyun Tian1Yanli Zeng2Rui Li3Huadong Song4Zhen Wang5Bin Gao6Kun Zeng7School of Automation, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Automation, University of Electronic Science and Technology of China, Chengdu 611731, ChinaShenyang Academy of Instrumentation Science, Shenyang 110043, ChinaPipeChina Northern Company, Langfang 065000, ChinaShenyang Academy of Instrumentation Science, Shenyang 110043, ChinaSchool of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaSchool of Automation, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Automation, University of Electronic Science and Technology of China, Chengdu 611731, ChinaPipelines play an important role in the national/international transportation of natural gas, petroleum products, and other energy resources. Pipelines are set up in different environments and consequently suffer various damage challenges, such as environmental electrochemical reaction, welding defects, and external force damage, etc. Defects like metal loss, pitting, and cracks destroy the pipeline’s integrity and cause serious safety issues. This should be prevented before it occurs to ensure the safe operation of the pipeline. In recent years, different non-destructive testing (NDT) methods have been developed for in-line pipeline inspection. These are magnetic flux leakage (MFL) testing, ultrasonic testing (UT), electromagnetic acoustic technology (EMAT), eddy current testing (EC). Single modality or different kinds of integrated NDT system named Pipeline Inspection Gauge (PIG) or un-piggable robotic inspection systems have been developed. Moreover, data management in conjunction with historic data for condition-based pipeline maintenance becomes important as well. In this study, various inspection methods in association with non-destructive testing are investigated. The state of the art of PIGs, un-piggable robots, as well as instrumental applications, are systematically compared. Furthermore, data models and management are utilized for defect quantification, classification, failure prediction and maintenance. Finally, the challenges, problems, and development trends of pipeline inspection as well as data management are derived and discussed.https://www.mdpi.com/1424-8220/21/11/3862pipeline inspectionrobotpipeline integrity managementdata managementnon-destructive testing (NDT) |
| spellingShingle | Qiuping Ma Guiyun Tian Yanli Zeng Rui Li Huadong Song Zhen Wang Bin Gao Kun Zeng Pipeline In-Line Inspection Method, Instrumentation and Data Management Sensors pipeline inspection robot pipeline integrity management data management non-destructive testing (NDT) |
| title | Pipeline In-Line Inspection Method, Instrumentation and Data Management |
| title_full | Pipeline In-Line Inspection Method, Instrumentation and Data Management |
| title_fullStr | Pipeline In-Line Inspection Method, Instrumentation and Data Management |
| title_full_unstemmed | Pipeline In-Line Inspection Method, Instrumentation and Data Management |
| title_short | Pipeline In-Line Inspection Method, Instrumentation and Data Management |
| title_sort | pipeline in line inspection method instrumentation and data management |
| topic | pipeline inspection robot pipeline integrity management data management non-destructive testing (NDT) |
| url | https://www.mdpi.com/1424-8220/21/11/3862 |
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