Context
During the final phase of a large-scale refining plant project, approaching commissioning, early indicators suggested contamination in a critical lubrication system required to deliver energy for the plant.
This type of oil contamination during commissioning is not uncommon in large industrial systems.
Constraint
- Available laboratory support on site was not equipped with the required test methods to fully validate the condition of the oil.
- Additional testing via an external lab was possible, but would require time beyond the available project window.
- In practice, this meant making decisions without reliable oil analysis data while in a critical commissioning and testing phase.
Risk
Delaying the decision to wait for fully validated lab results introduced a different category of risk:
- Potential delay to commissioning: ~3 months
- Significant financial exposure linked to project delay.
Decision Point
A decision had to be made without complete or fully reliable data. This is typical for remote or constrained project environments, where lubrication decisions must be made based on lab results that are not generated using recognised or comparable test methods.
Options:
- Wait for validated lab results → higher certainty, but significant delay risk
- Act on incomplete data → accept uncertainty, mitigate potential system failure
The chosen action:
- Replace and dispose of a significant amount of lubricating oil
- Organise additional on-site handling and logistics
- Accept additional direct cost and operational effort
Decision Logic:
The decision was not driven by data completeness, but by risk asymmetry:
- Uncertainty in contamination level: high
- Consequence of failure or delay: extreme
- Cost of intervention: limited in comparison
In this situation, waiting for perfect data increased overall risk.
The decision was therefore based on controlling downside risk rather than optimising for analytical certainty.
Outcome:
- Commissioning timeline protected
- Lubrication-related failure risk removed
- No dependency on delayed or upgraded lab capability
What this shows:
In controlled environments, lubrication decisions are often framed as technical or cost-driven.
In reality, under project pressure:
- In remote or constrained project environments, oil analysis data can be incomplete, delayed, or not directly comparable
- Laboratory capability may lag behind operational needs
- Time constraints override ideal validation processes
The critical shift is this: Lubrication becomes a risk control function, not a maintenance activity
And: Waiting for complete data can be the highest-risk decision in the system
Relevance
This type of situation is not exceptional. It appears during:
- commissioning phases
- post-incident recovery
- constrained or remote operations
- supply or testing limitations
The difference is not in the technical knowledge available, but in the ability to make a defensible decision when that knowledge is incomplete.
Similar decision-making challenges arise when the specified product is not available or when system condition is uncertain.
The structured approach behind these types of decisions is outlined in How we work.
If these types of decisions are part of your operations, contact us to discuss how to structure them in a more defensible and reliable way.