Abstract
A recent audit of oil and gas (O&G) production and process facilities (P&PFs) functioning on the Norwegian Continental Shelf (NCS) revealed that inadequate classification of equipment tends to increase the probability of maintenance induced failures. Hence, to mitigate the problem, this manuscript suggests a fuzzy inference system (FIS) to further revise and fine-tune an existing static mechanical equipment classification which has been utilized for the inspection and maintenance of a North Sea P&PF. Such a revision and fine-tuning of the existing classification enables the equipment in a subsystem of a P&PF to be identified by its degradation mechanism and classified under common degradation groups (e.g., corrosion loops, erosion loops, etc.). A case study has been performed using condition monitoring data and historical in-service inspection data retrieved from the piping inspection database (PIDB) belonging to a P&PF located on the NCS.
| Original language | English |
|---|---|
| Pages (from-to) | 53-60 |
| Number of pages | 8 |
| Journal | International Journal of Performability Engineering |
| Volume | 11 |
| Issue number | 1 |
| Publication status | Published - 1 Jan 2015 |
| Externally published | Yes |
Keywords
- Equipment groups
- Fuzzy inference system
- In-service inspection
- Inspection planning
- Maintenance
- Mechanical equipment classification