Subsea Production Control System (SPCS) in-service faults, failures, deterioration and degradation can impact the normal operation of Safety, environmental and Production Critical Elements. The potential financial, Health, Safety and Environmental consequences of failure of these critical elements can be significant.

This paper presents a proactive monitoring and measurement solution based on real time data to verify against defined performance and operating envelopes using a digital platform. This enables effective visualization of anomalies, diagnosis, prognosis and overall cost efficient, safe and sustainable management of the subsea production control system.

An intelligent SPCS integrity management digitalization system that focusses on unlocking the value from the existing data rather adding any extra sensors to the legacy fields will be presented. Through a combination of domain subsystem knowledge and advanced data analytics applied to controls data; the ability to predict certain types of faults is becoming a reality. The outcome of this approach leads to:

improved production availability
-through on-going analysis of system performance with effective trouble shooting leading to faster turnaround

reduction in unplanned events
-through understanding of the precursors leading to the key anomalies and how they impact the system.

condition based approach to the management of subsea operations
-through taking an informed approach to subsea operational planning based on current system status

spares holding optimization
-through understanding the key risks via anomaly management

multi customer knowledge sharing for improved service
-through learning from other customer systems with similar products and performance issues