
Sensia
AI-Driven Analytics for Electric Submersible Pump Efficiency
Pages
2
Time to read
4 mins
Publication
Language
English

Pages
2
Time to read
4 mins
Publication
Language
English
This case study explores the integration of Avalon and AiRP to enhance Electric Submersible Pump (ESP) efficiency through AI-driven real-time analytics. By addressing data fragmentation and energy inefficiencies, the solution enables predictive maintenance and reduces operational downtime across 11 wells. Key highlights include improved power quality monitoring, reduced false alarms, and actionable insights for better collaboration between technical and operational teams.