dc.contributor.author | Lee, Shenae | |
dc.contributor.author | Landucci, Gabriele | |
dc.contributor.author | Reniers, Genserik | |
dc.date.accessioned | 2019-12-10T08:21:08Z | |
dc.date.available | 2019-12-10T08:21:08Z | |
dc.date.created | 2019-12-06T13:20:50Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Sustainability. 2019, 11(23) | nb_NO |
dc.identifier.issn | 2071-1050 | |
dc.identifier.uri | http://hdl.handle.net/11250/2632386 | |
dc.description.abstract | Dynamic risk analysis (DRA) is a novel industrial approach that aims to capture changes in operational conditions over time and quantify their effect on risk. This aspect may be advantageous for providing insight into the causal factors that have substantial risk contributions and supporting decisions related to risk control. Some DRA methods were developed by the oil and gas industry to support the integration of work processes and the cooperation across virtual clusters, e.g., between offshore and onshore systems and/or oil company and supplier. However, DRA has not been extensively adopted and limited attention is given to its validity in practical applications. The objective of this article is to illustrate how this validity can be established based on common validation approaches for risk analysis. The case study focuses on a DRA method named risk barometer that was developed to support integrated operations across the oil and gas industrial systems. The outcome of this study may serve as a basis for the validation of other DRA methods, the use of DRA in practical cases, and ultimately the achievement of integrated operations (IO) capabilities. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | MDPI | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.volume | 11 | nb_NO |
dc.source.journal | Sustainability | nb_NO |
dc.source.issue | 23 | nb_NO |
dc.identifier.doi | 10.3390/su11236745 | |
dc.identifier.cristin | 1757651 | |
dc.description.localcode | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | nb_NO |
cristin.unitcode | 194,64,92,0 | |
cristin.unitname | Institutt for maskinteknikk og produksjon | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |