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dc.contributor.authorLee, Cen-Ying
dc.contributor.authorChong, Heap Yih
dc.contributor.authorWang, X.
dc.date.accessioned2017-01-30T11:06:32Z
dc.date.available2017-01-30T11:06:32Z
dc.date.created2016-12-18T19:31:11Z
dc.date.issued2018
dc.identifier.citationLee, C.Y. and Chong, H.Y. and Wang, X. 2018. Streamlining Digital Modeling and Building Information Modelling (BIM) Uses for the Oil and Gas Projects. Archives of Computational Methods in Engineering. 25 (2): pp. 349–396.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/8420
dc.identifier.doi10.1007/s11831-016-9201-4
dc.description.abstract

The oil and gas industry is a technology-driven industry. Over the last two decades, it has heavily made use of digital modeling and associated technologies (DMAT) to enhance its commercial capability. Meanwhile, the Building Information Modelling (BIM) has grown at an exponential rate in the built environment sector. It is not only a digital representation of physical and functional characteristics of a facility, but it has also made an impact on the management processes of building project lifecycle. It is apparent that there are many similarities between BIM and DMAT usability in the aspect of physical modeling and functionality. The aim of this study is to streamline the usage of both DMAT and BIM whilst discovering valuable practices for performance improvement in the oil and gas projects. To achieve this, 28 BIM guidelines, 83 DMAT academic publications and 101 DMAT vendor case studies were selected for review. The findings uncover (a) 38 BIM uses; (b) 32 DMAT uses and; (c) 36 both DMAT and BIM uses. The synergy between DMAT and BIM uses would render insightful references into managing efficient oil and gas’s projects. It also helps project stakeholders to recognise future investment or potential development areas of BIM and DMAT uses in their projects.

dc.publisherSpringer
dc.titleStreamlining Digital Modeling and Building Information Modelling (BIM) Uses for the Oil and Gas Projects
dc.typeJournal Article
dcterms.source.startPage1
dcterms.source.endPage48
dcterms.source.issn1134-3060
dcterms.source.titleArchives of Computational Methods in Engineering
curtin.note

The final publication is available at Springer via http://doi.org/10.1007/s11831-016-9201-4

curtin.departmentDepartment of Construction Management
curtin.accessStatusOpen access


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