Engineering-led. Intelligence-driven.
Clarity beneath
the surface.
Integrity engineering.
Intelligent software.
Connecting corrosion expertise, data science and engineering software—for fixed equipment and subsea infrastructure.
Every coating, weld and connection is part of the integrity picture.
Explore the three points above Illustrative asset · Not live data01 / Our capabilities
Engineering-led. Data-driven.Complex assets.
Clearer insight.
AIDM supports integrity management for fixed equipment and subsea infrastructure through in-house data science and engineering software.
Explore the IRIS platform01Integrity managementFor fixed equipment
Engineering software and data-driven support for the integrity management of fixed equipment and subsea infrastructure.
02Corrosion & treatment modellingUnderstand the mechanisms
Corrosion, cathodic protection and chemical treatment modelling — bringing engineering knowledge and data science together.
03IOW / DMI frameworksStructure for better decisions
Integrity Operating Window and Damage Mechanism Identification framework development, connecting operating conditions with degradation mechanisms.
04DTI & CUI assessmentsBring hidden risks into view
Engineering-led DTI and corrosion under insulation assessments to support a clearer understanding of equipment integrity.
05Predictive modellingTurn data into foresight
In-house data science, predictive modelling and data automation for offshore integrity management.
06Sensor-integrated platformsConnect the bigger picture
System platforms that bring sensor inputs and engineering software together to support a connected view of asset integrity.
02 / Integrity intelligence
In developmentIRIS™
Integrity Reasoning & Insight System
Engineering intelligence.
With reasoning you can trace.
A guided tour of the six stages.
Reasoning core
Build the pipe-network baseline.
Bring schematic drawings, automatically collected asset data and manual engineering inputs into one shared baseline.
How do drawings and operating data become a usable pipe-network model?
- DRAWINGS
- Upload P&IDs or isometric drawings for pipe-geometry extraction.
- AUTOMATIC
- Bring in SCADA, sensor and historian data from the asset.
- MANUAL
- Enter and verify pressure, temperature, fluid properties and chemical composition.
Engineering review confirms the geometry and input data before calculation.
Reasoning core
Model the flow and corrosion.
Use OLGA multiphase flow simulation with corrosion models to assess conditions across the pipe network.
How do pipe geometry and flow conditions affect corrosion risk?
- FLOW
- OLGA cases model multiphase flow across the network.
- CORROSION
- NORSOK M-506, De Waard 95 and complementary models support corrosion assessment.
- CONTEXT
- Pipe geometry and the calculated flow regime provide the basis for interpreting results.
Illustrative workflow. This interface does not run OLGA or engineering calculations.
Reasoning core
See where the results need attention.
Explore calculation results through web-based graphs, tables and dashboards for engineering analysis.
Which pipe sections show corrosion hot spots or elevated risk?
- RESULTS
- Review interactive graphs and tables of the calculated outputs.
- HOT SPOTS
- Use heatmaps along pipe sections to locate corrosion concerns.
- ANALYSIS
- Examine risk indicators, including POF and COF, to support engineering review.
Results retain their calculation context and assumptions for review.
Reasoning core
Compare operating conditions.
Explore multiple OLGA cases by varying controllable flow, chemistry and operating parameters.
Which operating changes could reduce corrosion risk within the permitted envelope?
- BASELINE
- Start from the accepted pipe-network model and operating conditions.
- VARY
- Sweep flow and chemistry parameters against Integrity Operating Windows (IOWs).
- COMPARE
- Review the cases to identify operating points that may reduce corrosion risk.
Scenario assumptions and results require engineering review before an operational change.
Reasoning core
Ask questions across the workflow.
An AI-enabled interface designed for questions across asset data, simulations and engineering analyses.
What explains this result, and which scenario should an engineer examine next?
- QUERY
- Explore the input data, simulation results and assumptions in natural language.
- EXPLORE
- Request charts or views that help explain the engineering question.
- FOLLOW UP
- Additional OLGA runs can be initiated through the interface when configured.
Evidence, uncertainty and engineer validation remain part of the decision.
Reasoning core
Prepare the report for review.
Generate draft integrity and flow-assurance reports from the workflow’s inputs, calculations and analysis.
How can the assessment become a report an engineer can review and edit?
- DRAFT
- Assemble findings and supporting results into a report draft.
- REVIEW
- Use editable templates aligned with the operator’s reporting requirements.
- EXPORT
- Prepare PDF or DOCX outputs with references to the underlying assessment.
Reports remain drafts until engineering review and approval.
Trace the reasoning architecture
- 01 / INPUTNormalize the evidence
Drawings, automatic data feeds and manual entries establish a shared pipe-network baseline.
- 02 / MODELSCorrelate the mechanisms
OLGA flow simulations and corrosion models provide results for analysis and scenario comparison.
- 03 / CONSTRAINTSApply engineering logic
Operating windows, approved rules and asset constraints shape the interpretation.
- 04 / VALIDATIONKeep engineers in control
Engineers review the evidence, proposed decisions and report drafts before acceptance.
Additional capability3D visualisation
Existing scan data and engineering models can provide spatial context for assets and integrity observations. This capability complements the six-stage workflow and is presented separately.
- Asset context
- Pipe networks, structures and existing point-cloud data.
- Condition layers
- Explore the location of observations and their relationship to the surrounding asset.
Planned capability. No live 3D environment is connected to this concept.
Modular degradation reasoning. Designed to work alongside existing engineering tools.Illustrative workflows · Platform under development