Data-enriched performance service
Optimize hydrocarbon processing to deliver on-specification product and reduce costs.
Collaborative digital solution for assuring uptime and optimizing performance of oil & gas production processing facilities
Informed by data, not time or usage intervals
Incorporates OEM expertise
Minimizes unscheduled downtime
Cuts cost up to 85% from reactive maintenance cost
Online operational analysis
Integrated automated workflows, simulation, and physics-based modeling
Opex control through processing outperformance
Data-driven condition-based monitoring
Actionable insights from prognostic health management algorithms
Integrated OEM models and domain knowledge
Leverage simulation and models to generate actionable insights with recommended solutions
Drive performance while maximizing throughput
Address energy efficiency and environmental footprint
Concurrently optimizing processing uptime and performance while maintaining equipment health and ensuring facility throughput is a difficult task. Setting preventive maintenance intervals on the basis of runtime or usage can result in unnecessary spend and NPT. The opposite approach of “reactive” maintenance—letting equipment run to failure—can easily be up to 7× the cost of a proactive approach.
ProcessOps on Delfi is the assured process optimization solution that brings your team together with data, workflows that leverage OEM knowledge, and a digital twin of your facility for the best possible processing decisions and outcomes.
With ProcessOps on Delfi, your facility’s approach to maintenance no longer needs to be preventive or reactive and always playing catch-up. Instead, you can avoid spending more than needed on maintenance and address issues as appropriate.
Your team will be able to streamline process equipment maintenance for assured uptime with the actionable insights delivered by ProcessOps on Delfi. Equipment integrity issues are quickly identified and diagnosed through data-driven condition-based monitoring and prognostic health management algorithms. This predictive approach to proactive maintenance significantly decreases unplanned downtime and its associated costs.
The feedstock entering your facility is always in flux, never static in its properties. The dynamic hybrid models embedded by ProcessOps on Delfi in the digital twin of your facility enable you to rapidly implement systemwide optimization that keeps your throughput on spec. The combination of OEM and domain knowledge with data science in ProcessOps on Delfi also powers exploring your future performance options and setting priorities.
ProcessOps on Delfi has a proven track record as the powerful engine used by Process Live data-enriched performance service. By integrating monitoring data from across a facility with OEM domain knowledge and analytical workflows, ProcessOps on Delfi enabled diagnosing a significant nonconformance as resulting from a single damaged connector. Although that part cost only a negligible amount, its failure could have triggered severe damage to an electrostatic treater critical for processing the high-salinity fluids.READ CASE STUDY
We’ve always provided subject matter expert (SME) support regarding any operational issues for our process systems equipment. Historically, data was shared and reviewed over multiple emails and calls, extending the course of diagnosis and resolution over many months.
To improve our customers’ experience, we developed ProcessOps on Delfi for use with our SMEs. ProcessOps on Delfi goes beyond advanced data analytics and visualization because it is informed by our expertise in equipment and the production and process domain. As such, it is part of the digital thread we provide across the life of a facility, extending back to the reservoir itself. This integration of expertise and context has significantly reduced the turnaround time for conducting performance analysis and providing our customers with the answers they seek.
To expand your collaborative access to our OEM and domain experts, implement ProcessOps on Delfi through our Process Live data-enriched performance service.