SharpWatch® Subsea Leak Detection (SSLD)
The SharpWatch® Framework includes Deep Neural Nets for real time condition monitoring.
Neural Nets provide a means to identify patterns and weak signals that are not specifically looked for because they monitor all points and identify unusual behavior or through machine learning.
SharpWatch® can be run on a server within the client network eliminating the need for data to leave the client network.
The database can be common between all assets to allow for common failure detection across different assets globally. SharpWatch® includes user interface for accessing the data and exporting it. This can mean, what happens offshore, stays offshore in terms of data.
Performance reports/dashboards underpinned by data can be automatically generated and sent out on regular cadence.
SharpWatch® generates output data from analytics that is stored in the application database but can also be written back into a database or a Data Lake.
As anomalies are discovered, case files can be created and investigated. SharpWatch® has a user interface for anomaly recording.
SharpWatch® is a Field Proven Real Time Condition Monitoring Software Framework that provides insights and actionable information from process data.
SharpWatch® contains a library of patent pending modules that predict and detect failures of sensor, pumps, tanks, separators, valves etc.
Services Features and Benefits (SSLD)
SharpWatch® can interface with any system using standard protocols
For systems without an open-source API, data export can be used.
Our Licensed Distributors will work with client teams as needed to configure the Software for the project. They can also provide condition monitoring services as well as maintain and update the asset models as required throughout the life of the facility.
Remote Cloud Monitoring
