Early Detection Seal Pressure Fluctuation on Water Injection Pump in an Oil & Gas Offshore Plant

If you work for an offshore Oil & Gas company, you already have a maintenance stack. It may include a Computerized Maintenance Management System (CMMS) for work orders, operators conducting route-based inspections, vibration analysts who know what a healthy pump sounds like, and condition monitoring software that feeds alerts when thresholds trip. Predictive analytics sits upstream of all that. It watches the same sensor data your Condition-Based Maintenance (CBM) system collects, but instead of waiting for a threshold breach, it flags subtle drift patterns weeks before they become actionable alarms.

Yet despite human and digital monitoring safeguards, preventing breakdowns remains a persistent challenge. According to a 2023 McKinsey survey of 100 equipment maintenance leaders, 84% of respondents are already adopting predictive approaches , yet the vast majority still struggle to retain qualified maintenance technicians and cannot shift the bulk of technician time from reactive repairs to planned preventive maintenance.

Generic monitoring tools struggle to alert issues prior to alarm thresholds and/or are unable to predict issues ahead of time. GE Vernova's SmartSignal® Predictive Analytics software is purpose-built for the energy industry by energy domain experts, empowering maintenance teams with the ability to detect degradation patterns day, weeks or months earlier than threshold-based alerts and deliver prescriptive, actionable recommendations.

The following case study demonstrates how GE Vernova’s SmartSignal® Predictive Analytics software delivers prescriptive, actionable recommendations. It shows how an early seal pressure deviation was caught, the alert reached the right people, and the maintenance window closed before the failure mode developed.

A global Oil & Gas company with operations throughout the Americas, Middle East, Asia, and Europe uses GE Vernova’s SmartSignal to monitor critical equipment across its offshore sites. At one of their offshore facilities in Europe, SmartSignal’s AI/ML-powered digital twin detected a deviation on a water injection pump. The analytics identified fluctuations in the DE (Drive End) and NDE (Non-Drive End) Seal pressure parameters, with actual readings climbing to approximately 700 psig against a model estimate of 532 psig. The pressure trace displayed a repeating sawtooth-like pattern characterized by slow declines followed by quick recoveries.

For context, mechanical seals are critical barriers that prevent high-pressure process fluid from leaking along the rotating pump shaft. Monitoring seal pressure on both ends of the pump reveals whether the barrier fluid is maintaining proper containment. Traditional condition monitoring systems, such as vibration analysis and threshold-based alarms, can detect seal issues, but typically only after degradation is already advanced. Predictive models add value by identifying subtle drift patterns, like the sawtooth behavior seen here, weeks before conventional alarms would fire.

To support their maintenance teams, the company subscribes to GE Vernova’s Industrial Managed Services (IMS), which provides dedicated engineers to operate SmartSignal on their behalf. These engineers meet weekly with the site maintenance team to review equipment health and deliver prescriptive recommendations when alerts are raised, ensuring consistent knowledge transfer and expert support. In this instance, the IMS team sent a high-priority notification and created a case in the platform containing a diagnosis and preliminary recommendations, which were then discussed during the weekly call.

After receiving the high-priority alert from the IMS team, the customer’s maintenance crew conducted a comprehensive inspection of the seal fluid system during a scheduled maintenance window. They examined the accumulator, pressure control valve (PCV), and seal fluid pump. The investigation pinpointed an internal failure in the pneumatic seal fluid pump, which was preventing stable barrier pressure delivery to the mechanical seals. This explained the sawtooth pattern; as the pump intermittently lost pressure, seal fluid supply would drop before partially recovering. Following replacement of the pneumatic seal fluid pump, both DE and NDE seal pressures returned to their designated nominal operating levels.

Left undetected, unstable seal barrier pressure would likely have progressed to complete seal failure, risking process fluid leakage, potential environmental exposure, and an unplanned shutdown. On offshore platforms, unplanned pump interventions typically cost several hundred thousand dollars when factoring in lost production, emergency logistics, and the safety implications of operating degraded equipment.

Because SmartSignal flagged the subtle drift pattern weeks before a threshold alarm would have fired, the maintenance team was able to plan the repair around existing downtime rather than scrambling for an emergency intervention. The fix itself was straightforward: a pump replacement carried out in a controlled, scheduled window.

After the repair, the IMS team used SmartSignal to verify that seal pressures returned to their expected operating range, confirming the root cause had been fully resolved. This closed-loop validation, where the same analytics that detected the problem also confirm the fix, is a key differentiator of a managed predictive maintenance approach. The digital twin baseline remains in place, continuously protecting against recurrence.