Prevent Downtime
Before It Happens.
Unplanned equipment failures cost oilfield operators millions in emergency repairs, idle crews, and customer penalties. OpsFlo turns your operational data into failure predictions — so you fix on your schedule, not the equipment's.
Avg. annual downtime cost
Emergency vs. planned repair cost
Downtime reduction with OpsFlo
Advance failure warning time
Reactive Maintenance Costs More Than You Think
When equipment fails unexpectedly, the cost is not just the repair. It's the emergency mobilization, the idle crews waiting for parts, the jobs delayed downstream, and the customer who questions your reliability. Calendar-based maintenance doesn't solve this — it over-services healthy equipment while missing the assets that are actually degrading.
- Emergency repair costs run 3-10x more than planned maintenance
- Idle crew time during breakdowns accumulates into millions annually
- Calendar-based maintenance misses condition-based degradation signals
- Reactive culture creates compounding downstream delays and penalties
Data. Prediction. Action.
Continuous Condition Monitoring
Inspection data, work order history, run-hours, and sensor feeds build a real-time health profile for every critical asset in your fleet.
Predictive Failure Scoring
Machine learning models identify degradation patterns and assign failure risk scores — flagging at-risk assets weeks before breakdown occurs.
Prescriptive Maintenance Actions
Recommended repairs are automatically scheduled based on predicted failure timing, crew availability, and parts inventory. No guesswork.
What Changes After OpsFlo
Predict Failures.
Stop Paying for Them.
Every unplanned failure is a choice you can avoid. See how OpsFlo turns your operational data into advance warnings — before the breakdown.