Akinyemi, A., Sun, M. ORCID: 0000-0002-7463-0246 and Gray, A., 2020. Data integration for offshore decommissioning waste management. Automation in Construction, 109: 103010. ISSN 0926-5805
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Abstract
Offshore decommissioning represents significant business opportunities for oil and gas service companies. However, for owners of offshore assets and regulators, it is a liability because of the associated costs. One way of mitigating decommissioning costs is through the sales and reuse of decommissioned items. To achieve this effectively, reliability assessment of decommissioned items is required. Such an assessment relies on data collected on the various items over the lifecycle of an engineering asset. Considering that offshore platforms have a design life of about 25 years and data management techniques and tools are constantly evolving, data captured about items to be decommissioned will be in varying forms. In addition, considering the many stakeholders involved with a facility over its lifecycle, information representation of the items will have variations. These challenges make data integration difficult. As a result, this research developed a data integration framework that makes use of Semantic Web technologies and ISO 15926 - a standard for process plant data integration - for rapid assessment of decommissioned items. The proposed solution helps in determining the reuse potential of decommissioned items, which can save on cost and benefit the environment.
Item Type: | Journal article | ||||||
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Publication Title: | Automation in Construction | ||||||
Creators: | Akinyemi, A., Sun, M. and Gray, A. | ||||||
Publisher: | Elsevier | ||||||
Date: | January 2020 | ||||||
Volume: | 109 | ||||||
ISSN: | 0926-5805 | ||||||
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Divisions: | Schools > School of Architecture, Design and the Built Environment | ||||||
Record created by: | Jonathan Gallacher | ||||||
Date Added: | 15 Nov 2019 13:29 | ||||||
Last Modified: | 15 Nov 2019 13:29 | ||||||
URI: | https://irep.ntu.ac.uk/id/eprint/38318 |
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