Pump Checker

Managing and optimizing ESP and gas lift systems at scale requires continuous surveillance, rapid diagnosis, and confident decision-making—often with limited engineering resources. Pump Checker™ artificial lift software applies artificial intelligence to production data to automatically evaluate lift performance, prioritize wells, and deliver actionable recommendations that help teams improve efficiency, reduce risk, and maximize production potential.

Artificial lift surveillance and optimization at scale

Pump Checker software supports production teams across a wide range of operating environments, including:

• ESP-lifted oil wells requiring continuous performance monitoring
• Gas lift wells needing rate optimization and compressor throughput balance
• Multi-field portfolios where engineers must prioritize intervention candidates
• Operations seeking to standardize artificial lift optimization workflows

Improve production performance and operational reliability by turning artificial lift data into prioritized, AI-guided actions that increase output, reduce downtime, lower risk, and extend run life.

• Improve operational efficiency: Automates well surveillance and workload prioritization, reducing manual analysis and enabling engineers to manage more wells without increasing complexity.
• Increase production potential: Identifies underperforming ESP and gas lift wells and recommends targeted operating changes to help capture available production upside.
• Reduce operational risk: Detects developing issues earlier to minimize unplanned downtime, reduce high-risk interventions, and limit health, safety, and environmental exposure.
• Extend artificial lift run life: Supports earlier problem identification and fit-for-purpose operating recommendations that help protect equipment and enable longer run times.

A unified software that integrates multi-source well data, delivers portfolio-level visibility, and generates transparent, actionable recommendations to support faster, more confident decisions.

• Integrated production data analysis: Consolidates and visualizes data from multiple sources to deliver a single, consistent view of artificial lift performance across the asset.
• Physics-based optimization and recommendations: Applies analytics and machine-learning techniques to identify optimization opportunities and support faster, more confident decision-making.
• ESP and gas lift optimization workflows: Provides structured workflows for both ESP and gas lift systems, enabling consistent surveillance and optimization across mixed-lift portfolios.
• Results monitoring and feedback: Tracks the impact of implemented recommendations, helping teams validate performance improvements and continuously refine operating strategies.