Together with Cognite and AkerBP, our consultants built a Smart Monitoring tool to identify the root cause of high oil-in-water concentrations with the goal to reduce production losses.
Approach
By taking into account measurements from 200 physical sensors and 100 virtual sensors, our consultants leveraged their physical science and software skills to develop a machine-learning proxy model that could identify the most likely actor when there was a high oil-in-water concentration in the production pipeline.
The smart monitoring system displays near real-time data and performs calculations combining sensor values and simulator outputs,providing engineers with virtual sensors and physical properties readily available for analysis.
Impact
The developed system gives engineers the ability to troubleshoot issues related to water contamination in a single dashboard, increasing their situational awareness. This allows users to take informed actions based on the available data and solve problems faster.
Aker BP estimates an increase revenue potential of $6 millions. The system can also prevent environmental incidents.
https://www.cognite.com/en/customer-stories/dataops-oil-gas-hybrid-machine-learning