Minimizing equipment shutdowns in oil and gas campaign maintenance
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 b...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Language: | English |
| Published: |
TAYLOR & FRANCIS LTD
2021
|
| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/FT170100120 http://hdl.handle.net/20.500.11937/89493 |
| _version_ | 1848765232290201600 |
|---|---|
| author | Seif, Z. Mardaneh, Elham Loxton, Ryan Lockwood, A. |
| author_facet | Seif, Z. Mardaneh, Elham Loxton, Ryan Lockwood, A. |
| author_sort | Seif, Z. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:31:59Z |
| format | Journal Article |
| id | curtin-20.500.11937-89493 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:31:59Z |
| publishDate | 2021 |
| publisher | TAYLOR & FRANCIS LTD |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-894932023-06-13T05:46:29Z Minimizing equipment shutdowns in oil and gas campaign maintenance Seif, Z. Mardaneh, Elham Loxton, Ryan Lockwood, A. Social Sciences Science & Technology Technology Management Operations Research & Management Science Business & Economics Plant maintenance asset management oil and gas optimisation scheduling RESOURCE OPTIMIZATION 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. 2021 Journal Article http://hdl.handle.net/20.500.11937/89493 10.1080/01605682.2020.1745699 English http://purl.org/au-research/grants/arc/FT170100120 http://purl.org/au-research/grants/arc/IC180100030 TAYLOR & FRANCIS LTD fulltext |
| spellingShingle | Social Sciences Science & Technology Technology Management Operations Research & Management Science Business & Economics Plant maintenance asset management oil and gas optimisation scheduling RESOURCE OPTIMIZATION Seif, Z. Mardaneh, Elham Loxton, Ryan Lockwood, A. Minimizing equipment shutdowns in oil and gas campaign maintenance |
| title | Minimizing equipment shutdowns in oil and gas campaign maintenance |
| title_full | Minimizing equipment shutdowns in oil and gas campaign maintenance |
| title_fullStr | Minimizing equipment shutdowns in oil and gas campaign maintenance |
| title_full_unstemmed | Minimizing equipment shutdowns in oil and gas campaign maintenance |
| title_short | Minimizing equipment shutdowns in oil and gas campaign maintenance |
| title_sort | minimizing equipment shutdowns in oil and gas campaign maintenance |
| topic | Social Sciences Science & Technology Technology Management Operations Research & Management Science Business & Economics Plant maintenance asset management oil and gas optimisation scheduling RESOURCE OPTIMIZATION |
| url | http://purl.org/au-research/grants/arc/FT170100120 http://purl.org/au-research/grants/arc/FT170100120 http://hdl.handle.net/20.500.11937/89493 |