V-SENTINEL is a highly structured, autonomous, intelligent and adaptive software package that can help turn the mass of tag data returned from a subsea production controls system into useful information; i.e information about the condition of the system, the availability of key sub-systems, the trend of key performance indicators, and degradation processes that may be leading to failure and loss of production.


Monitoring the condition of subsea assets is made difficult by the inaccessibility of the equipment and relies predominantly on the monitoring and reporting undertaken by the subsea control system. The diagnostics from conventional control systems tend to react to problems that have already had an impact on functionality. The subsea control system recovers vast amounts of housekeeping and sensor data but archives most of it. The consequences of fault reporting after the event leads to a  reactive and costly intervention and repair regime, potentially coupled with a loss of production.


V-SENTINEL is completely data-driven; it applies a variety of computational techniques to determine if an abnormal condition exists. The technology does not rely on detailed information on the characteristics or assumed failure modes of the particular control system, so its outputs are fully independent from the control system manufacturer.

V-SENTINEL is structured as a standard software framework supporting a series of Applications (Apps).  Apps have been, and are being, developed to cover the majority of subsea controls related fault conditions (e.g. control fluid leakage, IR degradation, pump wear, subsea valve failure, instrument failure etc.) The V-SENTINEL software is designed to interface with the client’s data management system (PI, ProcessNet, Predix etc) and to notify the asset support engineer of any anomalies ensuring early fault detection.

Key Benefits

  • Enables condition based maintenance
  • Superior fault detection through data analysis
  • Enables efficient use of control room or shore-based support
  • Provides adaptive and dynamic decision support to flag problems
  • Offer diagnostics based on probability
  • Improves safety and integrity
  • No physical installation subsea, therefore no production downtime necessary to implement
  • Data collection for real time monitoring
  • Historic data analysis capability