EconPapers    
Economics at your fingertips  
 

Minimizing equipment shutdowns in oil and gas campaign maintenance

Z. Seif, E. Mardaneh, R. Loxton and A. Lockwood

Journal of the Operational Research Society, 2021, vol. 72, issue 7, 1486-1504

Abstract: This paper considers the problem of scheduling periodic maintenance items for oil and gas plants. Each maintenance item involves various maintenance tasks and may require temporary equipment shutdowns, which are costly and highly disruptive to production. The aim is to minimise equipment shutdowns by grouping maintenance items with similar shutdown requirements into short-term maintenance operations called campaigns. Real plants can involve tens of thousands of maintenance items and thus manually scheduling the campaigns is an extreme challenge. In this paper, we develop a mixed-integer linear programming model for optimally allocating maintenance items to campaigns so that total shutdown cost is minimised. The model incorporates constraints on maintenance deadlines, campaign times, maintenance item suppression and labour hours per campaign. We solve the model for realistic scenarios involving data for Karratha Gas Plant in Western Australia, which is the main processing plant for the massive North West Shelf oil and gas project.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2020.1745699 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjorxx:v:72:y:2021:i:7:p:1486-1504

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20

DOI: 10.1080/01605682.2020.1745699

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald

More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tjorxx:v:72:y:2021:i:7:p:1486-1504