INTEGRITY METHODS & DECISION INPUTS
Inspection, testing, corrosion control, risk analysis, engineering assessment, materials knowledge, monitoring, and digital systems each answer different questions. Asset Integrity Management connects those inputs to the decision they are meant to support.
METHOD FAMILIES
The method should fit the asset, the suspected degradation mechanism, the operating environment, the decision being made, and the confidence required. No single technique provides every answer.
Inspection and nondestructive examination provide evidence about physical condition, location, dimensions, morphology, or change. Capability, access, calibration, coverage, and detection limits shape what can reasonably be concluded.
Coatings, cathodic protection, monitoring, process conditions, materials, inspection, and historical performance contribute to understanding corrosion risk and control effectiveness.
Risk assessment and risk-based inspection can help prioritize where evidence, inspection, mitigation, or review is most valuable when assumptions and uncertainty remain visible.
Engineering assessment brings material condition, geometry, loading, degradation, operating conditions, uncertainty, and applicable criteria together to support asset-specific decisions.
Material properties, degradation mechanisms, fracture behavior, laboratory findings, failure analysis, and historical records can clarify why damage occurred and what it means for future decisions.
Condition monitoring, integrity software, connected records, analytics, digital twins, and AI can help organize and compare evidence when data quality, provenance, context, and validation remain intact.
METHOD SELECTION
The first question is what the organization needs to know about the asset, rather than which technology happens to be available.
Screening, prioritization, repair, continued operation, mitigation, reassessment, life extension, and replacement require different levels and types of evidence.
Every method has boundaries. Detection limits, assumptions, operating conditions, data quality, model confidence, and validation affect the strength of the conclusion.
FROM METHOD TO DECISION
A result gains decision value when the organization can see where it came from, what question it answers, what assumptions or limitations apply, how it relates to asset history and operating conditions, and what qualified judgment was used to interpret it.
CONNECTED KNOWLEDGE
Explore ILI, pressure testing, direct assessment, field validation, remediation, data, risk, and pipeline-specific context.
CORROSION & CPExplore corrosion mechanisms, cathodic protection, field measurements, monitoring, interference, and decision context.
DIGITAL KNOWLEDGEExplore provenance, data-to-decision continuity, model confidence, sampling bias, and trustworthy digital twins.
OPERATIONAL RISKSee how technical evidence connects to exposure, controls, prioritization, and operating decisions.
TOOLS & GUIDESUse practical decision tools and technical guides for integrity, metallurgy, asset condition, lifecycle, reliability, and maintenance decisions.
THE METHOD TEST
Strong Asset Integrity Management connects technical capability to the decision being made, the operating context around it, and the evidence needed to verify what happens next.