Well performance analysis solution for ESP system design
Now with the ESP Design Module, Avocet Well & Surface Modeler software provides a comprehensive well performance analysis solution for a complete ESP system design. The software is used on a daily basis by Schlumberger's large population of artificial lift application engineers all over the world.
Comprehensive database of components
The software contains a comprehensive database of components, including the latest ESP technology and equipment. With the software you can accurately design and select each system component for your well-subsurface pump, motor, gas-handling device, protectors, cables, surface switchboard, and variable speed drive.
Optimizes ESP design and greatly increasing ESP running life
Designed by leading Schlumberger artificial lift experts, Avocet Well & Surface Modeler incorporates an intuitive workflow-based interface that leads a design engineer through the design & analysis process. The sophisticated ESP Design Module sizes and analyzes the entire ESP system, optimizing design and greatly increasing operating life for increased production with less downtime.
Utilizes fluid, well and reservoir information to predict performance
The module provides the latest information on ESP equipment and utilizes the fluid, well, and reservoir information to predict the inflow and outflow performance of an ESP well design.
Field proven
Used worldwide by Schlumberger's own artificial lift experts for design and analysis, the software is field proven, efficient and easy to use.
Benefits
Quick, accurate analysis of well inflow performance
Accurate ESP selection
Accurate ESP component performance prediction in field conditions
Minimized downtime through continuous ESP operation under well conditions
Maximized production through best-suited ESP selection
Automatic tolerance and clearance checking
Quick, accurate ESP design
Applications
Well analysis
System component design and selection
ESP system sizing and analysis
ESP system design inflow and outflow performance prediction
