This six-month proof-of-capability programme delivered a web-based digital twin environment connecting spatial reality (point clouds and 360 imagery) with inspection and integrity data sets (RBI, inspection status, remaining life indicators, corrosion management data and supporting evidence). The goal was to help teams validate condition and risk in context, prioritise inspections, and support fabric maintenance decisions using one trusted source of information.

A key outcome was demonstrating that the same governed data foundation can support additional workflows beyond integrity, such as turn around planning, engineering, construction, and fabrication, by applying different workflows to the same connected dataset.

‍Client name withheld. Details presented at a high level to respect confidentiality.

Integrity and inspection information typically sits across many sources: 3D models, GA drawings, inspection reports, spreadsheets/exports from integrity systems, images, and survey deliverables. This fragmentation makes it difficult to build a single view of asset condition, link evidence to location, and coordinate decisions across teams.

This programme addressed that by bringing these sources into one connected environment and validating how they work together in real workflows.

A digital twin can:

• Reduce data silos by presenting a holistic view of asset condition and integrity status
• Combine 3D context with integrity data sets (e.g., RBI risk, target dates, corrosion rates / remaining life indicators, inspection history)
• Enable fast access to supporting evidence (drawings, documents, reports, imagery)
• Demonstrate assisted identification / classification concepts to accelerate review (captured as scale-up requirements)
• Provide a framework that can scale into broader operational use cases

Delivered as a joint programme, not a software install:

• Workshops to understand how teams operate and how data supports decisions
• Early agreement on scope, success criteria, and deliverables
• Iterative reviews with end users to validate usability and relevance
• Structured acceptance process with sign-off

Stakeholders were aligned across Inspection & Integrity, Engineering, Operations and IT to ensure a practical delivery pathway.

• Aligned point clouds and 360 imagery for rapid spatial awareness and remote review
• Measurement and navigation tools for condition review in context

The programme demonstrated that a connected digital twin environment can:

• Link visual reality & engineering context & integrity status in one place, improving usability of integrity information
• Performance and usability requirements met as set out in the SOW
• Support RBI decisions and targeted inspection planning by validating data against physical context
• Provide a scalable foundation for broader adoption using a governed dataset and repeatable approach
• Enable additional workflows beyond integrity using the same connected data foundation

Using the same governed dataset, additional workflows can be enabled, including:

• Turnarounds / TARs: scoping, readiness, evidence capture, progress tracking, handover packages
• Engineering: design clarification, field verification, change planning, drawing/evidence retrieval
• Construction & fabrication: workpacks, installation verification, punch evidence, closeout packages
• Planning & execution: coordinated task workflows linked back to asset context and evidence
• Enable additional workflows beyond integrity using the same connected data foundation

• Early alignment on scope boundaries, site access constraints, and priorities
• A shared “data readiness” view: what exists, where it lives, and integration formats
• Clear governance for tag masters, registers, document masters, and ongoing updates

Aurora’s laser scanning team uses AVA to deliver point clouds and 360 capture to clients through a fast, browser-based platform. This turns reality capture into a client-ready digital service, improving collaboration, speeding up decisions, and creating clear, actionable scope.

Laser scans and site imagery only deliver value when stakeholders can easily access them, understand current conditions, and agree scope quickly. File-based delivery, static reports, and disconnected tools slow alignment and reduce the impact of reality capture.

Aurora uses AVA as the digital layer in its delivery workflow to:

• Host and stream point clouds in a secure, browser-based workspace
• Enable clients to navigate 360 imagery and understand current conditions faster
• Use the 3D model view to support progress visibility and context where required
• Allow teams to tag anomalies and define scope of work directly in the twin
• Turn findings into actionable follow-up, including redlines, extraction, verification, and targeted additional scan coverage
• Maintain an evergreen record of reality data (latest capture with historical reference where needed)

AVA helps Aurora offer clients a modern digital way of working, improving responsiveness and keeping delivery aligned with field reality. It also provides room to grow, expanding from scan hosting and collaboration into broader enterprise digital twin capabilities over time.

• Faster access to current conditions for teams and clients
• Clearer scope definition and fewer misunderstandings
• More efficient follow-up actions and planning
• A consistent, professional digital service across projects

“AVA has improved how we collaborate across clients and project teams. Having accurate,easy access to current asset conditions helps us make decisions faster and reduces repeatsite visits. It’s now a core part of how we deliver dimensional control across our projects.”

Andy Wilson, Aurora Energy Services