Unexpected equipment failures cost thousands in lost production and emergency repairs. We analyze your historical production and maintenance data to predict failures before they happen and identify optimization opportunities.
Machine learning models analyze historical data to predict pump, compressor, and separator failures weeks in advance
Schedule maintenance during planned shutdowns instead of emergency repairs at 2x-3x the cost
Identify wells underperforming expectations and optimization opportunities to increase recovery
Replace gut-feel decisions with quantitative analysis of your production and equipment data
Gather historical production, maintenance, and equipment data from your existing systems, spreadsheets, and databases.
Identify patterns in equipment failures, production declines, and operational anomalies using statistical analysis.
Build machine learning models to predict failures and production issues based on historical patterns.
Test model accuracy against recent historical data to ensure predictions are reliable before deployment.
Deploy dashboards showing risk scores, predicted failure dates, and optimization recommendations.
Continuously refine models as new data becomes available and operational conditions change.
Machine learning models predict pump, compressor, and separator failures based on historical maintenance and operational data.
Identify underperforming wells, production decline patterns, and optimization opportunities using statistical analysis.
Real-time production KPIs, equipment health scores, and predictive alerts consolidated into executive dashboards.
Predict electric submersible pump failures 2-4 weeks in advance based on current draw, vibration, temperature, and production patterns.
Identify wells declining faster than expected and quantify lost production value to prioritize workover decisions.
Monitor gas lift compressor performance and predict maintenance needs before emergency shutdowns occur.
Optimize separator settings to maximize oil recovery and minimize emissions based on feed conditions.
Equipment failures with no warning costing thousands in lost production
Emergency repairs at 2x-3x the cost of planned maintenance
Wells underperforming expectations without clear diagnosis
Production and maintenance records in disconnected systems
No system to predict problems before they become failures
No time or expertise to analyze data for optimization opportunities
Schedule a consultation to identify improvement opportunities and develop a roadmap for streamlining your processes.
Schedule a Consultation