Process optimization—online digital twins for processing equipment and facilities
Customizable real-time optimization workflows with automated insights. AI and data-driven insights are leveraged to optimize performance, reduce OPEX, boost throughput, and enhance reliability. You can realize significant reductions in energy consumption while maximizing efficiency.
Asset health and reliability—facility uptime management and equipment twin analysis models
A new level of insights to proactively prevent downtime, enhance threat detection, and swiftly resolve issues. Equipment twin predictive failure models, anomaly detection, and condition monitoring are enabled by data-driven AI/machine learning (ML), physics-based analysis, and other simulations.
Pipeline integrity—predictive monitoring, inspection and modeling solutions
Operationalizing data to inform users about the integrity, reliability, and structural soundness of pipelines to prevent leaks, failures, or incidents. Manage the integrity of pipeline assets using the latest in AI/ML models. The solution integrates data from multiple sources and runs calculations to determine if regulatory conditions have been met for repair.
Maintenance planning—breaking down traditional data and organizational barriers
Leverage AI and seamless collaboration in your maintenance processes with an out-of-the-box solution that breaks down silos and infuses AI, to optimize maintenance planning and execution, for a step-change in efficiency, and a reduction in planned shutdowns and OPEX.
Site execution and inspection—field worker digitalization and autonomous robotic operations
Consistent inspections data enriches your operational understanding, improving decision-making and productivity. Solutions are enabled by data integration, apps, and end-to-end robotics services that reduce execution times and enhance asset uptime.