Digital AI · Production Intelligence

RodMind

Dynamometer Card Diagnostic Tool

AI-powered solution designed to automate the analysis of rod pump dynamometer cards — faster, more consistent diagnostics across many wells.

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Overview

More than 1,000 wells diagnosed — RodMind automates dynamometer card interpretation for rod-pump fleets at scale.

Applications

Artificial intelligence (AI) automated analysis of sucker rod pumps (SRPs) dynamometer cards allowing for faster and more consistent diagnostics across many wells via rod-lifting pump knowledge coupled with AI models. RodMind assists production teams to early identify performance issues and maintain optimum pump operation.

How It Works
01

Card capture

Surface and downhole cards are streamed in from your SCADA or controller data.

02

AI analysis

RodMind classifies each card against a dataset of all known SRP failure modes.

03

Diagnostic output

Production engineers receive a prioritized list of wells, root causes, and recommended actions.

Benefits

Time Saving

Reduce time required to analyze dynamometer cards and reliance on manual interpretation.

Effort Reduction

Reduce effort required for manual interpretation, therefore reducing human errors.

Early Detection

Early detection of potential failures helping avoid equipment damage, reduce unplanned shutdowns and minimize production deferment.

Optimization

Supports the optimization of SRPs operating parameters to improve operational efficiency and maximize production performance.

Tested

RodMind has been validated through testing with leading oil and gas companies and supported by published papers.

Scalable

Incorporates huge dataset with all known SRP dynamometer card issues; streamlined processes increase job throughput.

Features
  • Automated dynamometer cards diagnostic and interpretation.
  • Various SRP dynamometer card issues are included.
  • Reinforced learning feature tailored to your field installations and operating conditions.
  • Fast analysis across many wells with various installations as well as operating parameters.
  • Web-based application accessible anytime anywhere.
  • User friendly interface.
Specifications
Deployment
Cloud or on-premise
Access
Web-based, any device
Data Inputs
SCADA, controllers, CSV
Integration
REST API · webhooks
Case Studies
Case Study

Diagnosing 500 rod-pump wells in one campaign — operator field record

Minimal manual interpretation and a fully automated diagnostic workflow shrank dynacard analysis from weeks to under a day.

Read Case Study →
Operator field site

Is RodMind what you need to improve your artificial-lift surveillance?

Learn how AI-driven dynacard diagnostics can cut analysis time, surface failure risks earlier, and standardize interpretation across your entire well portfolio.

Tell me more →

RodMind cut our manual dynacard interpretation from days to minutes — and surfaced underperforming wells we didn't know we had.

PR
Production Engineering Lead
North American operator (500+ rod-pump wells)
Related Resources
Case StudyDiagnosing 500 rod-pump wells in one campaign — operator field record PaperAI-assisted classification of sucker-rod pump dynamometer cards DatasheetRodMind technical datasheet (PDF, 2 pages) WebinarFrom dynacards to decisions: AI in artificial lift surveillance
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