Industrial AI & Analytics
for LNG Production

Preventing compressor trips before they impact production

Why Relevant:

Compressors are critical to gas processing and LNG operations, where unexpected trips can disrupt production, reduce throughput and increase operational risk. Detecting early signs of abnormal behavior can help teams intervene before performance deteriorates.

Why TrendMiner:

With TrendMiner, engineers can analyze compressor behavior, identify recurring patterns and process conditions that precede trips, and turn these insights into early-warning monitors to prevent production-disrupting events

Linked use cases:

Detecting heat exchanger fouling before efficiency declines

Why Relevant:

Heat exchangers are critical to LNG processing and refrigeration, where declining heat-transfer performance can increase energy consumption and eventually constrain production. Fouling can develop gradually, making early performance degradation difficult to detect.

TrendMiner’s Solution:

With TrendMiner, engineers can correlate pressure, temperature and flow behavior to identify early indicators of fouling and performance degradation. Continuous monitoring enables teams to detect when an exchanger approaches a critical condition and plan maintenance before production is affected.

Linked use cases:

Improving reliability across critical LNG assets

Why Relevant:

LNG facilities rely on critical rotating equipment such as pumps, compressors and associated mechanical systems to maintain continuous operation. Early signs of equipment degradation can easily remain hidden in process data until they develop into failures or unplanned downtime.

TrendMiner’s Solution:

With TrendMiner, engineers can turn equipment behavior into actionable condition indicators, distinguish early signs of degradation, and prioritize emerging issues to focus maintenance efforts before they lead to unplanned downtime.

Linked use cases: