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Use case
The Challenge
Cleaning intervals of the booster compressor cooler were highly irregular. Sometimes fouling developed rapidly, forcing early intervention. In other cases, the cycle lasted much longer. Without understanding what was driving this variability, maintenance remained reactive.
The team needed to determine why fouling accelerated in certain periods, identify the key influencing factors, and move toward a predictive maintenance strategy that would stabilize performance and reduce unnecessary cleaning interventions.
- Irregular fouling cycles
- Limited visibility into root causes
- Reactive maintenance strategy
- Risk of reduced cooler efficiency and compressor performance
The Approach
Engineers structured the investigation around stable operating periods to isolate the real fouling drivers.
- Fouling period detection: Drops in booster compressor cooler differential pressure were analyzed during stable operation
- Cycle comparison: Shorter and longer fouling periods were layered and statistically compared
- Influence factor analysis: Multivariable evaluation identified parameters correlated with faster fouling
- Root cause validation: HP separator temperature emerged as the most consistent influencing variable
- Expert confirmation: Higher HP separator temperatures were linked to heavier fractions reaching the cooler, accelerating fouling
- Predictive monitoring: A monitor was configured on HP separator temperature to detect conditions leading to rapid fouling
Key Insight
Fouling acceleration was not random, it was strongly connected to upstream temperature conditions that altered the composition of the stream entering the cooler.
Results
The Takeaway
By linking fouling behavior to upstream process conditions, the team extended cooler operating time, reduced unnecessary interventions, implemented predictive monitoring, and achieved a measurable production increase of around 1% through more stable compressor operation and optimized maintenance planning.
The Challenge
Cleaning intervals of the booster compressor cooler were highly irregular. Sometimes fouling developed rapidly, forcing early intervention. In other cases, the cycle lasted much longer. Without understanding what was driving this variability, maintenance remained reactive.
The team needed to determine why fouling accelerated in certain periods, identify the key influencing factors, and move toward a predictive maintenance strategy that would stabilize performance and reduce unnecessary cleaning interventions.
- Irregular fouling cycles
- Limited visibility into root causes
- Reactive maintenance strategy
- Risk of reduced cooler efficiency and compressor performance
The Approach
Engineers structured the investigation around stable operating periods to isolate the real fouling drivers.
- Fouling period detection: Drops in booster compressor cooler differential pressure were analyzed during stable operation
- Cycle comparison: Shorter and longer fouling periods were layered and statistically compared
- Influence factor analysis: Multivariable evaluation identified parameters correlated with faster fouling
- Root cause validation: HP separator temperature emerged as the most consistent influencing variable
- Expert confirmation: Higher HP separator temperatures were linked to heavier fractions reaching the cooler, accelerating fouling
- Predictive monitoring: A monitor was configured on HP separator temperature to detect conditions leading to rapid fouling
Key Insight
Fouling acceleration was not random, it was strongly connected to upstream temperature conditions that altered the composition of the stream entering the cooler.
Results
The Takeaway
By linking fouling behavior to upstream process conditions, the team extended cooler operating time, reduced unnecessary interventions, implemented predictive monitoring, and achieved a measurable production increase of around 1% through more stable compressor operation and optimized maintenance planning.
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Share with a co-worker
The Challenge
Cleaning intervals of the booster compressor cooler were highly irregular. Sometimes fouling developed rapidly, forcing early intervention. In other cases, the cycle lasted much longer. Without understanding what was driving this variability, maintenance remained reactive.
The team needed to determine why fouling accelerated in certain periods, identify the key influencing factors, and move toward a predictive maintenance strategy that would stabilize performance and reduce unnecessary cleaning interventions.
- Irregular fouling cycles
- Limited visibility into root causes
- Reactive maintenance strategy
- Risk of reduced cooler efficiency and compressor performance
The Approach
Engineers structured the investigation around stable operating periods to isolate the real fouling drivers.
- Fouling period detection: Drops in booster compressor cooler differential pressure were analyzed during stable operation
- Cycle comparison: Shorter and longer fouling periods were layered and statistically compared
- Influence factor analysis: Multivariable evaluation identified parameters correlated with faster fouling
- Root cause validation: HP separator temperature emerged as the most consistent influencing variable
- Expert confirmation: Higher HP separator temperatures were linked to heavier fractions reaching the cooler, accelerating fouling
- Predictive monitoring: A monitor was configured on HP separator temperature to detect conditions leading to rapid fouling
Key Insight
Fouling acceleration was not random, it was strongly connected to upstream temperature conditions that altered the composition of the stream entering the cooler.
Results
The Takeaway
By linking fouling behavior to upstream process conditions, the team extended cooler operating time, reduced unnecessary interventions, implemented predictive monitoring, and achieved a measurable production increase of around 1% through more stable compressor operation and optimized maintenance planning.
Access now
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