Criticality Analysis for Maintenance Purposes of Platform Supply Vessels in Remote AreasSource: Journal of Offshore Mechanics and Arctic Engineering:;2017:;volume( 139 ):;issue: 003::page 31601DOI: 10.1115/1.4035304Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The oil and gas industry is pushing toward new unexplored remote areas, potentially rich in resources but with limited industry presence, infrastructure, and emergency preparedness. Maintenance support is very important and challenging in such remote areas. A platform supply vessel (PSV) is an essential part of maintenance support. Hence, the acceptable level of its availability performance is high. Identification of critical components of the PSV provides essential information for optimizing maintenance management, defining a spare parts strategy, estimating competence needs for PSV operation, and achieving the acceptable level of availability performance. Currently, there are no standards or guidelines for the criticality analysis of PSVs for maintenance purposes. In this paper, a methodology for the identification of the critical components of PSVs has been developed, based on the available standard. It is a systematic screening process. The method considers functional redundancy and the consequences of loss of function as criticality criteria at the main and subfunction levels. Furthermore, at the component level, risk tools such as failure modes, effects and criticality analysis (FMECA), and fault tree analysis (FTA) will be applied in order to identify the most critical components. Moreover, the application of the proposed approach will be illustrated by a real case study.
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| contributor author | Marhaug, A. | |
| contributor author | Barabadi, A. | |
| contributor author | Stagrum, E. | |
| contributor author | Karlsen, K. | |
| contributor author | Olsen, A. | |
| contributor author | Ayele, Y. Z. | |
| date accessioned | 2017-11-25T07:18:52Z | |
| date available | 2017-11-25T07:18:52Z | |
| date copyright | 2017/27/3 | |
| date issued | 2017 | |
| identifier issn | 0892-7219 | |
| identifier other | omae_139_03_031601.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4235458 | |
| description abstract | The oil and gas industry is pushing toward new unexplored remote areas, potentially rich in resources but with limited industry presence, infrastructure, and emergency preparedness. Maintenance support is very important and challenging in such remote areas. A platform supply vessel (PSV) is an essential part of maintenance support. Hence, the acceptable level of its availability performance is high. Identification of critical components of the PSV provides essential information for optimizing maintenance management, defining a spare parts strategy, estimating competence needs for PSV operation, and achieving the acceptable level of availability performance. Currently, there are no standards or guidelines for the criticality analysis of PSVs for maintenance purposes. In this paper, a methodology for the identification of the critical components of PSVs has been developed, based on the available standard. It is a systematic screening process. The method considers functional redundancy and the consequences of loss of function as criticality criteria at the main and subfunction levels. Furthermore, at the component level, risk tools such as failure modes, effects and criticality analysis (FMECA), and fault tree analysis (FTA) will be applied in order to identify the most critical components. Moreover, the application of the proposed approach will be illustrated by a real case study. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Criticality Analysis for Maintenance Purposes of Platform Supply Vessels in Remote Areas | |
| type | Journal Paper | |
| journal volume | 139 | |
| journal issue | 3 | |
| journal title | Journal of Offshore Mechanics and Arctic Engineering | |
| identifier doi | 10.1115/1.4035304 | |
| journal fristpage | 31601 | |
| journal lastpage | 031601-11 | |
| tree | Journal of Offshore Mechanics and Arctic Engineering:;2017:;volume( 139 ):;issue: 003 | |
| contenttype | Fulltext |