Process Live

Uptime assurance and prognostic health management 

The first level of service focuses on equipment uptime assurance with data-driven condition-based monitoring and prognostic health management algorithms that give you actionable insights to help you optimize process equipment performance. We also embed automation algorithms to optimize the performance of your equipment. For example, at a North American facility that produces heavy oil, when the facility base sediment and water (BS&W) changes, the system automatically adjusts the oil treater unit voltage and frequency relationship to ensure on-spec throughput.

The digital solution also aggregates IIoT sensors to monitor and predict the health of critical valves—enabling the failure prediction and rapid remediation, saving millions in operational downtime and equipment repair.

Process optimization and adaptive operations

The second level of service eliminates equipment downtime from your process. This is where we embed data-enriched models of your whole process into a digital avatar to deliver truly dynamic process optimization. Facility models are connected to the production network to provide rigorous fluid modeling from the sandface to the point of sales and proactively manage flow hindrance issues to reduce the cost of production deferment. In one gas processing facility, data-driven models are used to ensure the uptime of acid gas membranes. Specific optimization workflows are implemented to ensure on-spec throughput, adapting operating parameters to the process gas composition and membrane condition.