CMMS for Oil & Gas

Oil & gas plants run a mix of rotating equipment and static assets where a missed inspection or an undocumented breakdown cause can turn into a compliance problem or a repeat failure. AssetAI keeps the asset record, the maintenance schedule, and the failure history in one place instead of scattered across registers and spreadsheets — you can see how the platform handles this across every plant type on /industries.

How maintenance types map to your assets

A single schedule form covers preventive, usage/meter, predictive, statutory inspection, calibration, and lubrication — so a plant doesn't need six different tools to plan work across pumps, compressors, valves and instrumentation.

• Rotating equipment (pumps, compressors, blowers, motors) typically run on usage/meter schedules — the schedule holds the meter unit, interval, and last/next reading, and fires a work order the moment a logged reading reaches target. Readings can come in from the internal screen, a QR scan page with photo OCR, a WhatsApp command, or an API, which matters where a wired sensor isn't practical. The system rejects any reading lower than the previous one, so meter data stays consistent.
• Condition-based work triggers off a monitored parameter and an alarm threshold — for example vibration in mm/s — generating a PdM work order the moment the threshold is breached. This is threshold-based triggering, not vibration analysis or diagnostics; if you need the difference explained, /glossary/what-is-cmms is a good primer on where CMMS boundaries sit.
• Instrumentation typically sits on calibration schedules, tracked from the same form as everything else, so a planner isn't switching systems to plan a calibration versus a PM.

Statutory inspection and failure discipline

Process plants carry inspection obligations that a generic PM schedule doesn't fit. AssetAI's statutory/inspection schedules capture the regulation or statute and the certificate number as schedule fields, and route closure through a separate inspection approval gate — a planner inspects, and someone like a maintenance head signs off the closure. If it's rejected, the work order reopens with an appended "Inspection returned: ..." note, giving you a real audit trail of what was checked and by whom, rather than a paper trail that ends at the inspector's clipboard.

On the failure side, breakdown and corrective work orders can't close without a recorded failure cause and failure remedy. On critical rotating assets this is what makes failure history usable later — for RCA, for spares planning, for deciding whether an asset needs to move onto a tighter meter or condition schedule. Operators can report a breakdown by QR scan with no login, and an emergency-severity report bypasses approval entirely so a stopped compressor or pump gets a work order immediately instead of waiting in an approval queue.

Coverage tracking works the same way: AMC (vendor, dates, cost, schedule) sits on the asset record, and AssetAI computes live coverage — in warranty, under AMC, expired, or none — so a service call is stamped with the right status automatically instead of someone checking a contract file. If a repair needs to go outside your team, the external-repair loop tracks it through Requested, Visited, Quoted, Quote Approved, In Service, Completed, Billed, Bill Passed and Closed, with a timestamp at every step — a practical substitute for formal SLA scoring when you need visibility into a vendor's turnaround.

See the full list of what's covered at /features, or book a demo on your own asset data rather than a generic slide deck.

Oil & gas plants carry rotating equipment, static assets, and a mix of owned and contracted maintenance work — which means the same breakdown can touch a vendor's AMC terms, a warranty clock, and a safety requirement all at once. AssetAI keeps these threads on one asset record instead of splitting them across a maintenance register, a vendor file, and a safety checklist. If you're new to the category, /glossary/what-is-cmms covers what a CMMS is meant to do before you evaluate one against your plant.

Knowing who's on the hook for a repair

Every asset in AssetAI carries its commercial data — warranty dates, AMC vendor, AMC dates and cost, and schedule — alongside its maintenance history. That matters when a compressor goes down and someone needs to know, in the moment, whether it's still under warranty, covered by an active AMC, or neither.

• Coverage status (in warranty > under AMC > expired > none) is computed live from the dates on the asset record, not typed in by whoever logs the call, so a service call auto-stamps the correct coverage instead of relying on memory.
• When a job does go external, AssetAI runs a timestamped status chain — Requested, Visited, Quoted, Quote Approved, In Service, Completed, Billed, Bill Passed, Closed — so there's a visible trail of what the contractor did and when, even without a formal SLA-scoring engine behind it.
• This is deliberately a tracking mechanism, not a penalty system: AssetAI doesn't score contractors or apply SLA penalties, it gives you the timestamps to have that conversation with data instead of guesswork.

Getting failures logged from the floor, not from memory

A lot of breakdown data on rotating assets never makes it into any system because the operator who saw it happen isn't the one filling in the report later. AssetAI closes that gap with a QR scan on the pump, compressor, or turbine itself — no login required — so a breakdown gets reported at the moment it happens, by whoever is standing in front of the equipment.

• Emergency-severity breakdowns bypass the approval step entirely, so a stopped rotating asset gets a work order the instant it's reported rather than waiting on a sign-off.
• Every breakdown and corrective work order requires a failure cause and a failure remedy before it can close — which is what makes the failure history on your critical pumps and compressors something you can actually trust for the next reliability review, not just a closed ticket.
• Where a job needs specific precautions — LOTO, PPE, a gas test — AssetAI records the required safety measure on the asset and prints it on the job sheet. It's worth being clear about what this is: a documented requirement on paper, not a digital permit-to-work workflow with issue/close approvals and expiry — if your plant needs that level of formal permit control, plan for it as a separate process alongside AssetAI rather than expecting the system to enforce it.

Where this fits in a broader reliability program

None of this replaces a plant's HSE program or a formal reliability framework — it's the record-keeping layer underneath one. If you're benchmarking maintenance practice against ISO standards or a TPM rollout, AssetAI is where the schedules, the asset data, and the failure history live day to day; see /features for the full list of what's on the platform, /use-cases for how other plant types apply the same schedule engine, and /pricing or /contact to see it against your own asset list.