Pipeline Risk Assessment Using GIS
Long-distance energy pipelines are subject to risks of repeated hazards and posing pipeline safety problems. Hazards that may attack the pipelines are environmental and human activities. In this study, the risks of hazards on pipeline were assessed using Geographic Information System (GIS) as resear...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Univeristy of Kurdistan Hewler
2022-12-01
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| Series: | UKH Journal of Science and Engineering |
| Subjects: | |
| Online Access: | https://journals.ukh.edu.krd/index.php/ukhjse/article/view/474 |
| _version_ | 1797900350058921984 |
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| author | Jafar A. Ali Loghman Khodakarami Murad S. Ahmed |
| author_facet | Jafar A. Ali Loghman Khodakarami Murad S. Ahmed |
| author_sort | Jafar A. Ali |
| collection | DOAJ |
| description | Long-distance energy pipelines are subject to risks of repeated hazards and posing pipeline safety problems. Hazards that may attack the pipelines are environmental and human activities. In this study, the risks of hazards on pipeline were assessed using Geographic Information System (GIS) as research on pipeline risk assessment using GIS is quite limited. Satellites help to monitor pipelines from space. The study spatially analyzes the risks that a pipeline encounters and the Kurdistan oil pipeline from Taq Taq oil field to Peshkhabur was used as a case study. Six criteria including distance to cities and villages, rivers, roads, slopes, and temperature in cold and hot weather were considered. Weight is given to each criterion; a maximum of 37.5% for human activities and a minimum weight of 12.5% for slope. The calculations were carried out spatially rather than through statistical operations. Three sets of maps were obtained for each criterion with different units. Then the maps were overlayed to represent a single map and the units were standardized using Fuzzy membership. The results show the risk level of each criterion along the 270 km length of the Kurdistan national pipeline. |
| first_indexed | 2024-04-10T08:43:29Z |
| format | Article |
| id | doaj.art-3a57833af6a3428ab6595ef390762f01 |
| institution | Directory Open Access Journal |
| issn | 2520-7792 |
| language | English |
| last_indexed | 2024-04-10T08:43:29Z |
| publishDate | 2022-12-01 |
| publisher | Univeristy of Kurdistan Hewler |
| record_format | Article |
| series | UKH Journal of Science and Engineering |
| spelling | doaj.art-3a57833af6a3428ab6595ef390762f012023-02-22T13:15:27ZengUniveristy of Kurdistan HewlerUKH Journal of Science and Engineering2520-77922022-12-01621522https://doi.org/10.25079/ukhjse.v6n2y2022.pp15-25Pipeline Risk Assessment Using GISJafar A. Ali0Loghman Khodakarami1Murad S. Ahmed2Department of Petroleum Engineering, Faculty of Engineering, Koya University, Koya, Kurdistan Region, IraqDepartment of Petroleum Engineering, Faculty of Engineering, Koya University, Koya, Kurdistan Region, IraqDepartment of Petroleum Engineering, Faculty of Engineering, Koya University, Koya, Kurdistan Region, IraqLong-distance energy pipelines are subject to risks of repeated hazards and posing pipeline safety problems. Hazards that may attack the pipelines are environmental and human activities. In this study, the risks of hazards on pipeline were assessed using Geographic Information System (GIS) as research on pipeline risk assessment using GIS is quite limited. Satellites help to monitor pipelines from space. The study spatially analyzes the risks that a pipeline encounters and the Kurdistan oil pipeline from Taq Taq oil field to Peshkhabur was used as a case study. Six criteria including distance to cities and villages, rivers, roads, slopes, and temperature in cold and hot weather were considered. Weight is given to each criterion; a maximum of 37.5% for human activities and a minimum weight of 12.5% for slope. The calculations were carried out spatially rather than through statistical operations. Three sets of maps were obtained for each criterion with different units. Then the maps were overlayed to represent a single map and the units were standardized using Fuzzy membership. The results show the risk level of each criterion along the 270 km length of the Kurdistan national pipeline.https://journals.ukh.edu.krd/index.php/ukhjse/article/view/474risk assessmentpipelinegeographic information systemgisfuzzy logic |
| spellingShingle | Jafar A. Ali Loghman Khodakarami Murad S. Ahmed Pipeline Risk Assessment Using GIS UKH Journal of Science and Engineering risk assessment pipeline geographic information system gis fuzzy logic |
| title | Pipeline Risk Assessment Using GIS |
| title_full | Pipeline Risk Assessment Using GIS |
| title_fullStr | Pipeline Risk Assessment Using GIS |
| title_full_unstemmed | Pipeline Risk Assessment Using GIS |
| title_short | Pipeline Risk Assessment Using GIS |
| title_sort | pipeline risk assessment using gis |
| topic | risk assessment pipeline geographic information system gis fuzzy logic |
| url | https://journals.ukh.edu.krd/index.php/ukhjse/article/view/474 |
| work_keys_str_mv | AT jafaraali pipelineriskassessmentusinggis AT loghmankhodakarami pipelineriskassessmentusinggis AT muradsahmed pipelineriskassessmentusinggis |