Asset Integrity Domain
The industrial world Velidon is built for: what an asset is, what can go wrong with it, how it gets inspected, and why operators depend on that inspection to make decisions.
03.1 What is an asset
In industrial terms, an asset is a physical piece of infrastructure or equipment that an operator owns, depends on, and must maintain for as long as it is in service, sometimes decades. A pressure vessel, a length of pipeline, a storage tank, a vessel hull, and an entire offshore platform are all assets. What they share is that each one degrades over time, through corrosion, fatigue, mechanical wear, or environmental exposure, and each one can fail if that degradation goes unmanaged.
Asset integrity is the discipline of managing that degradation: knowing the current condition of an asset, predicting how it will change, and intervening before failure occurs. In fintech terms, the closest analogy is risk management, except the risk being managed is physical and the consequence of failure can be loss of containment, injury, environmental damage, or catastrophic structural failure rather than financial loss alone.
03.2 Why it spans multiple industries
Asset integrity is not an oil-and-gas-specific discipline, it is a discipline that oil and gas adopted early and matured fastest, because the consequences of asset failure in that sector are severe and heavily regulated. The same underlying problem exists wherever a company operates large physical assets over a long lifespan:
| Sector | Typical assets | Why integrity matters |
|---|---|---|
| Oil & gas | Platforms, FPSOs, pipelines, tank farms, pressure vessels | Loss of containment can be catastrophic; heavily regulated; most mature RBI and NDT practice. |
| Maritime | Vessel hulls, ballast tanks, marine structures | Hull failure risks the vessel and crew directly; classification societies mandate periodic inspection. |
| Defence | Structural platforms and equipment | Operational readiness depends on structural integrity; typically stricter access and reporting controls. |
| Aerospace | Structural and material components | Extremely tight tolerances; failure consequences are severe and immediate. |
This is why Velidon is described as an asset integrity management system, not an oil-and-gas inspection tool. The NDT techniques, the anomaly tracking logic, and the reporting workflow described on this page apply with only minor variation across all four sectors.
03.3 Equipment and structures
A short field guide to the asset types referenced most often in Velidon material and in client conversations.
FPSO
A floating vessel that processes and stores produced oil or gas, then offloads it to tankers. Effectively a floating processing plant and storage facility combined.
FSO
Similar to an FPSO but storage and offloading only, with no on-board processing.
Platform
A fixed or floating offshore structure supporting drilling and production equipment above the water.
Tank farm
A site of multiple large storage tanks holding crude oil, refined products, or gas.
Pressure vessel
A sealed container holding gas or liquid at a pressure different from ambient. High consequence if it fails, since failure can be sudden.
Vessel hull
The structural shell of a ship, the primary barrier between the vessel's interior and the sea. Hull integrity is inspected on a scheduled basis under classification society requirements.
03.4 NDT and anomalies
Non-Destructive Testing (NDT) is how an inspector assesses the condition of an asset without cutting it open, dismantling it, or taking it out of service. Instead, NDT techniques use sound waves, magnetic fields, radiation, or direct measurement to detect problems hidden beneath the surface, corrosion under insulation, cracks in a weld, thinning of a pipe wall, that would otherwise go unnoticed until failure.
Velidon supports more than 40 NDT technique templates. You do not need to memorise all of them, but recognising the more common ones will help you follow client and inspector conversations:
| Technique | What it detects |
|---|---|
| UTM (Ultrasonic Thickness Measurement) | Wall thickness, used to detect corrosion or erosion loss. |
| PAUT (Phased Array Ultrasonic Testing) | Internal flaws and weld defects, with more detail than conventional UT. |
| MPI (Magnetic Particle Inspection) | Surface and near-surface cracks in magnetic materials. |
| LPT (Liquid Penetrant Testing) | Surface-breaking defects on non-porous materials. |
| PMI (Positive Material Identification) | Confirms the actual material grade of a component. |
| Hardness testing | Material hardness, an indicator of strength and weld quality. |
Whatever the technique, the output of an inspection is either a clean result or an anomaly, a detected deviation from the asset's expected condition. Anomalies are classified by damage type (for example, general corrosion, pitting, cracking) and given a severity rating. In Velidon, anomaly capture and classification is a live feature. Verifying that an anomaly has actually been fixed, and formally closing it out, is currently an operator-side function, it is not something Velidon does today.
03.5 Risk-based inspection
Risk-Based Inspection (RBI) is the methodology operators use to decide what to inspect, how often, and how thoroughly. The alternative, inspecting everything on a fixed calendar schedule regardless of actual risk, wastes inspection budget on low-risk assets while potentially under-inspecting high-risk ones.
RBI works by combining two factors for each asset or asset component:
- Likelihood of failure, based on factors like age, material, operating conditions, and inspection history.
- Consequence of failure, based on factors like what the asset contains, its location, and what would be affected if it failed.
Multiplying likelihood and consequence gives a risk ranking. High-risk assets get inspected more frequently and more rigorously; low-risk assets get inspected less often. This is why operators care deeply about accurate, well-organised inspection history, RBI is only as good as the data feeding it, and poor historical data means poor risk decisions.
03.6 Anatomy of an inspection campaign
An NDT inspection campaign is not a single visit, it is a structured project with several distinct stages, each producing documentation that feeds into the next.
- Planning. The scope of the campaign is defined, which assets, which techniques, and against which RBI priorities, and mapped against the asset's P&ID (Piping and Instrumentation Diagram), so every inspection point can be located precisely on the engineering drawing.
- Field capture. Inspectors carry out the physical inspection on site, often in remote or offline environments, capturing readings, photographs of anomalies, and annotations directly against the relevant asset and location.
- Report generation. Field data is compiled into a structured report using the appropriate technique template, including anomaly photos with annotations marking exactly where the defect is, and references back to the P&ID location.
- Multi-stage review and approval. Reports pass through multiple layers of review, typically the inspector's supervisor, a technical reviewer, and a final approver, before being released to the client. This matters because inspection reports carry real consequences: they inform maintenance decisions, regulatory filings, and, ultimately, whether an asset stays in service.
- Delivery. The completed, approved report is delivered to the operator, along with the anomaly register and supporting evidence.
Velidon's live feature set, offline-first field capture, anomaly management, and multi-stage review and approval workflow, exists to digitise exactly this process. Before a tool like Velidon, this entire workflow ran on paper forms, spreadsheets, and email, with the obvious risks of lost data, inconsistent formatting, and slow approval cycles.
03.7 From inspection data to actionable insight
A single inspection report tells an operator the condition of one asset at one point in time. The real value, and the harder problem, is turning years of accumulated inspection data across an entire asset portfolio into decisions: which assets need intervention first, where corrosion rates are accelerating, and where budget should actually go.
This is why raw inspection reports are not the end goal. Operators need trending (tracking how a measurement changes over repeated inspections), portfolio-level views across many assets, and increasingly, analytics that surface risk before it becomes a failure. This is the direction Velidon is moving in with its upcoming analytics and smart insights capability and TML trending, covered further on the Velidon page.