Less manual interpretation
Cut the effort, time, and human-error risk associated with reviewing dynamometer cards one well at a time.
AI-powered automated diagnosis of sucker rod pump dynamometer cards — from manual interpretation to automation. Built on rod-lift engineering knowledge coupled with AI models.
RodMind is an AI-powered automated analysis tool for sucker rod pump dynamometer cards. By combining rod-lift engineering knowledge with AI models, it provides faster, more consistent diagnostics across many wells.
Production teams use RodMind to identify performance issues early, optimize SRP operating parameters, and avoid unplanned shutdowns — all without relying on manual card interpretation.
Six reasons operators choose RodMind for their rod-pump fleet diagnostics — from speed to early detection.
Cut the effort, time, and human-error risk associated with reviewing dynamometer cards one well at a time.
Catch potential pump failures before they cause unplanned shutdowns and production deferment.
Use diagnostic outputs to optimize stroke length, pumping speed, and other SRP operating parameters for maximum efficiency.
Built on a dataset covering most known SRP dynamometer card issues — reliable, consistent diagnostics across every well.
Production engineers can monitor and triage hundreds of wells simultaneously, focusing time only on the wells that need them.
The model continuously learns from your SRP dynamometer cards — getting more accurate and more tailored over time, not less.
Talk to our engineering team. We size, scope, and deliver for your specific installations.