The multiple alarms generated by Electric Submersible Pumps (ESPs) present oilfield engineers with an overwhelming volume of unstructured data, compounded by disconnected systems and manual interventions. It’s a situation that hampers effective decision-making, leading to more downtime, lost production, and increased costs. Sensia’s AiRP (AI Response Prioritization) with Avalon Lift surveillance revolutionizes this process, leveraging advanced analytics and machine learning to provide real-time, intelligent prioritization of ESP-related events. It enables field engineers to address incidents in minutes, not hours, helping to improve production efficiency, extend pump life, and save costs. In this immersive webinar, presented by Sensia ESP Domain Champion, Tiago Meira de Borba, you will: Understand how AiRP detects low/no-flow conditions before they cause ESP damage or production loss. Learn about the machine learning technology behind AiRP and its adaptability to various well types and ESP designs. Discover how real-time monitoring and proactive detection can optimize production, reduce downtime, and extend ESP lifespan. Explore case studies and results from the field, highlighting AiRP’s high event detection rate and low false alarm ratio. Gain insights into the system’s plug-and-play capabilities and how it integrates with existing surveillance workflows. For more information on Avalon Surveillance AiRP and ESPs take a look at our series of articles: Part 1 - How Artificial Intelligence Response Prioritization facilitates action-focused surveillance at scale Part 2 - Enhanced decision-making and intervention enabled by Artificial Intelligence Response Prioritization Part 3 - Managing data quality with Artificial Intelligence Response Prioritization Don’t miss the opportunity to join the webinar and discover how to increase production uptime and save costs through Sustainable Intelligent Action. Simply complete the Registration Form on this page, and we’ll get back to you with joining details.
