Equipment information is scattered across companies, formats and systems.
Oil and gas operators depend on equipment information held by vendors, EPCs, OEMs, contractors, internal departments and legacy platforms. The result is fragmented visibility across purchasing, delivery, configuration, maintenance, location, function, dependencies and real-time state.
Equipment records often exist in PDFs, Excel files, P&IDs, process flow diagrams, CMMS exports, ERP records, IoT feeds, 3D models and vendor documents. Each format tells part of the truth, but no single model explains the full asset lifecycle.
Typical client pain points
- Multiple vendors hold different versions of equipment data.
- Equipment lists do not align with functional locations or engineering hierarchies.
- Maintenance schedules are detached from equipment configuration and state.
- PDF and Excel packs are difficult to search, govern and reuse.
- IoT streams are not connected to approved equipment master data.
- Corrosion, carbon and integrity data sits outside the operational view.
Lucenox turns existing equipment information into governed data products.
The Equipment Core does not depend on one perfect source. It is designed to ingest, extract and reconcile information from the formats clients already use.
| Source type | Examples | What Lucenox extracts or links | Typical output |
|---|---|---|---|
| Vendor and OEM packs | PDF data sheets, commissioning packs, manuals, certificates | Manufacturer, model, serial number, duty, specifications, service requirements | Structured equipment attributes and document lineage |
| Engineering documents | P&IDs, PFDs, engineering hierarchy, 3D model references | Process context, functional relationships, dependencies, locations and parent-child hierarchy | Equipment graph, hierarchy and engineering context |
| CMMS / EAM | SAP PM, IBM Maximo, export files, work-order tables | Maintenance history, service intervals, work orders, failures, downtime and open work | Lifecycle and maintenance context for each equipment object |
| ERP and procurement | Purchase orders, asset registers, material masters, delivery records | Purchase, delivery, configuration, supplier, cost and ownership signals | Lifecycle, vendor and commercial traceability |
| IoT / historian streams | Sensor tags, historian values, gateway feeds, condition-monitoring systems | Live state, readings, exceptions, trend context and operational events | Field Live Stream mapped to governed equipment identity |
| Integrity and sustainability data | Corrosion records, inspection results, carbon data, emissions-related fields | Risk status, monitoring actions, inspection outcomes and carbon context | Governed use-case datasets for integrity and carbon tracking |
Fragmentation limits operational control.
Without one governed view of equipment, companies struggle to answer basic but critical questions quickly and confidently.
Where is it?
Location information is inconsistent across asset, facility, unit, system and functional-location structures.
What does it do?
Function, dependency and process context is often trapped in engineering documents.
What happened to it?
Purchase, delivery, service, maintenance and failure history are not consistently connected.
Can we trust it?
Data ownership, approval status, lineage and quality are not always visible.