Oil & gas — Predict
Predict on the rotating equipment that costs you the most when it stops
Upstream estates with disciplined ISO 14224 failure-coding and rich rotating-equipment populations are some of the strongest candidates for IBM Maximo Predict. We deliver and operate it today, integrated with the integrity and maintenance work already running in Manage.
The upstream and midstream estates that justify IBM Maximo Predict on day one share a profile. Large populations of rotating equipment. Years of failure history. ISO 14224-aligned coding discipline. A reliability function that already owns the maintenance plan. And an unplanned-failure cost — measured in production deferral, safety exposure, or both — that is materially larger than the cost of seeing failure coming.
Where that profile holds, Predict is one of the higher-leverage MAS-suite components an upstream operator can deploy. Where it does not, the honest first conversation is about stabilising Manage and aligning failure data to ISO 14224 rather than buying analytics on top of thin coding.
The asset classes where Predict tends to land
- Rotating equipment populations with shared failure modes — compressors, pumps, turbines
- Equipment with established condition-monitoring (vibration, temperature, pressure)
- Asset classes with a known unplanned-failure cost, expressed in production deferral or HSE exposure
- Asset classes where the reliability function is willing to own and challenge the model
What we deliver
- Readiness assessment against Manage data quality, ISO 14224 alignment and the candidate asset class
- Failure-coding cleanup where the historical coding is rich enough to be improved rather than replaced
- Data engineering from condition-monitoring systems and historians, where Monitor is also in scope
- Predict model build and validation against historical failure events on the chosen asset class
- Integration with the integrity and maintenance plan in Manage so output drives PM intervals and inspection scope
- Managed run-state on our cloud, including model lifecycle, retraining and observability
Sequencing inside the wider suite
For most upstream rotating equipment, the right sequence is Monitor on the asset class first, then Predict on top, with Health backing the integrity-critical fixed assets. The detailed sequencing argument lives in sequencing Monitor and Predict after Manage and the broader honesty test is in why predictive maintenance programmes fail.
Related capabilities
Related capabilities and components
MaxIron products
MaxIron products that strengthen Predict in upstream operations
Frequently asked questions
- Is upstream oil and gas a credible candidate for IBM Maximo Predict?
- For specific asset classes, yes. Large populations of rotating equipment — pumps, compressors, turbines — with years of failure history coded under ISO 14224, in operations where unplanned failure is expensive and safety-critical, are exactly the conditions Predict pays back on. The unsuitable cases are bespoke high-value assets with thin failure history. We are explicit about which is which before scoping.
- What about ISO 14224 failure-coding discipline?
- It is the single biggest leverage point. Predict learns from failure codes. Estates with disciplined ISO 14224 coding produce models the reliability engineers can trust. Estates without it usually need a coding cleanup before the model build is worth funding. We have led ISO 14224 alignment programmes on operator estates and approach the readiness assessment from that experience.
- Do we need Monitor in place first?
- For most upstream rotating equipment, yes. Vibration, pressure and temperature signal from condition-monitoring systems and historians materially improves the Predict model. The natural sequence is Monitor on the asset class, then Predict on top, on the same managed cloud.
- How does this fit with risk-based inspection?
- Predict on rotating equipment, Health for integrity-critical fixed assets, and the existing RBI methodology together give the asset integrity engineer and the maintenance planner one defensible view. We do not displace the RBI work; we make it richer with model-driven risk scoring on the equipment classes where the data supports it.
- Can MaxIron host and run Predict in our offshore or remote operations context?
- Yes. Predict runs on the same managed cloud platform we use for the rest of MAS, with appropriate data residency and connectivity patterns for offshore and remote estates. The same operations team owns the run-state.
Predict on the rotating equipment that earns it
Tell us the asset class and what failure costs you when it happens. We will tell you whether your data supports a credible Predict programme and how we would deliver it.
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