What is Asset Information Management (AIM) in Oil & Gas?

Asset Information Management (AIM) is the discipline of ensuring that all data and documentation describing physical assets — what they are, where they are located, how they were designed and built, their current condition, and their operational history — is accurate, complete, accessible, and governed throughout the asset lifecycle. AIM connects engineering and project delivery on one side to operational systems (CMMS, ERP, EAM) on the other.

In oil and gas, energy, chemicals, and utilities, the quality of asset information directly determines operational safety, maintenance efficiency, regulatory compliance, and the cost of running the facility over its operational life. Poor AIM is not a data problem — it is a business risk.

Asset Information Management vs Asset Integrity Management: clearing the confusion

These two disciplines share the acronym AIM and are frequently confused, even by industry professionals. Understanding the distinction is important:

• Asset Information Management (AIM) focuses on the data and documentation that describes an asset — its identity, technical specifications, documentation register, engineering history, and change records. AIM answers the question: do we have accurate, complete, and accessible information about every asset we own and operate?
• Asset Integrity Management focuses on the physical condition and operational reliability of the asset — ensuring it remains structurally sound, fit for purpose, and safe throughout its operational life. Asset Integrity answers the question: is this asset in the condition required to perform its function safely?

The two disciplines are interdependent. Effective Asset Integrity Management is impossible without high-quality Asset Information Management — you cannot maintain what you cannot accurately identify, locate, and document. Maintenance teams working from incorrect or incomplete asset information consistently make errors that compromise both safety and efficiency.

What information does AIM cover? Core data domains

Asset Information Management spans several interconnected data domains:

• Asset register and hierarchy: A complete, structured catalogue of all physical assets, anchored by a governed Master Tag Register (MTR) and organised into a meaningful asset hierarchy
• Technical attributes: Equipment specifications, design ratings, materials of construction, operating parameters, and configuration data — structured against standards such as CFIHOS or owner-defined data requirements
• Documentation register: All engineering drawings, data sheets, inspection certificates, manuals, and technical reports connected to the correct equipment items
• Maintenance and inspection history: Work orders, inspection findings, corrective actions, and condition assessments that track the actual history of each asset over time
• Lifecycle status: Tracking from design and procurement through installation, commissioning, operations, modifications, and eventual decommissioning
• Change history: A complete record of all modifications to asset data and physical configuration, governed through a formal change control process

AIM through the asset lifecycle: from FEED to decommissioning

Asset information management is not a one-time activity — it is a discipline that must be maintained across every phase of an asset's life:

• FEED and detailed engineering: Asset data structures are defined, tag registers are established, and data requirements are agreed with EPCs and suppliers
• Procurement and construction: Supplier technical data is collected, validated, and linked to the correct asset identifiers as equipment is ordered and delivered
• Commissioning: As-built data is verified against the tag register; commissioning dossiers are completed and linked to individual assets
• Handover: The complete asset information package is transferred from EPC to owner-operator — this is the highest-risk point in the AIM lifecycle, where poor data quality creates the most lasting damage
• Operations and maintenance: Asset data is maintained as modifications are made and maintenance history accumulates; CMMS work orders are traceable back to individual asset tags
• Decommissioning: Accurate asset information supports safe decommissioning planning, regulatory reporting, and the transfer or disposal of assets

The AIM handover challenge: why project-to-operations transfer so often fails

The transition from project execution to operational ownership is the most critical — and most frequently underestimated — challenge in Asset Information Management. This handover requires transferring millions of data points across documents, drawings, tags, and systems from EPCs and suppliers to the owner-operator, in a format that can be imported into CMMS and ERP systems and used from day one of operations.

Common causes of handover failure include:

• Tag registers that are inconsistent between engineering, procurement, and construction
• Supplier documentation submitted in formats incompatible with the owner's systems
• Missing technical attributes for equipment classes defined in the owner's data templates
• Documents not linked to the correct equipment tags
• Data that has never been validated against the physical equipment installed

Research consistently shows that correcting poor-quality asset data in operational systems costs significantly more than preventing it during the project — and that the correction cost increases with every year the incorrect data remains in use. Treating data quality as a project deliverable from FEED through to handover is the correct approach.

AIM software: what to look for when evaluating platforms

When evaluating Asset Information Management software for oil and gas, energy, or process industry operations, the key capabilities to assess are:

• Structured asset register with governed tag management and hierarchy support
• Integration with engineering documentation systems (EDMS) and CDEs
• Configurable data templates aligned with CFIHOS or owner-defined standards
• Data quality validation and completeness tracking
• Supplier data submission and validation workflows
• Integration with CMMS (SAP PM, IBM Maximo, IFS), ERP, and EAM platforms
• Handover package generation and transfer capability
• Change control and audit trail functionality

How Sharecat enables Asset Information Management across the asset lifecycle

Sharecat is a purpose-built AIM platform for asset-intensive industries that connects engineering documents to tagged asset data from the earliest project stage. By aligning with CFIHOS and ISO 15926, Sharecat ensures asset information is captured consistently and can be transferred reliably to CMMS and ERP systems at handover, reducing the cost and risk of data migration.

Sharecat's data quality management capabilities enable continuous validation of completeness and accuracy throughout the project, so the handover package is a trusted foundation for operations — not a starting point for corrective work. Supplier documentation is linked directly to the tag register through governed submission workflows, eliminating the most common source of handover failures.

Frequently asked questions about Asset Information Management

Is AIM the same as an asset management system?
No. An asset management system (typically a CMMS or EAM like SAP PM or IBM Maximo) manages the maintenance and operational activities performed on assets. AIM is the discipline of ensuring the underlying asset data that these systems depend on is accurate, complete, and governed. AIM provides the data foundation that makes asset management systems reliable.

Who is responsible for AIM in an oil and gas company?
AIM responsibility typically sits across multiple functions: engineering (for design data and documentation), operations (for as-operated data), IT/digital (for systems and integration), and often a dedicated asset data or information management function. Owner-operators increasingly appoint dedicated AIM leads on major capital projects to ensure data quality is maintained from FEED through handover.

When should AIM be started on a capital project?
AIM should start at FEED — or even earlier during concept selection. Decisions made in early project phases about tag numbering systems, data requirements, and document coding conventions determine the quality of asset data available at handover. Retrofitting good data governance onto a project that is already in detailed engineering is significantly more expensive than establishing it at the outset.

What is the cost of poor AIM?
The cost of poor asset information management is primarily felt in operations: maintenance teams spending time locating correct information instead of performing maintenance, procurement errors due to incorrect equipment specifications, extended turnarounds due to poor work preparation, and regulatory exposure from incomplete inspection records. Studies of major capital projects consistently show that handover data deficiencies cost owner-operators millions of dollars per year in operational inefficiency.

Related concepts

• Master Tag Register (MTR)
• Document Handover Package
• Data Quality Management
• Digital Twin
• CFIHOS
• EDMS