Less manual interpretation
Cut the effort, time, and human-error risk associated with interpreting dynamometer cards of 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 wells — from speed to early detection.
Cut the effort, time, and human-error risk associated with interpreting dynamometer cards of one well at a time.
Catch pump failures early, avoiding unplanned shutdowns and production deferment.
Use diagnostic outputs to optimize stroke length, pumping speed, and other operating parameters for maximum efficiency.
Built on a dataset covering most known SRP dynamometer card issues, reliable and consistent diagnostics across every well.
Production engineers can monitor and triage hundreds of wells simultaneously.
The model continuously learns from your SRP dynamometer cards, getting more accurate and more tailored over time.
Talk to our engineering team. We size, scope, and deliver RodMind for your specific field data.