Pipeline integrity evidence management
Inspection findings and repair histories use different asset references, making evidence difficult to assemble.
The challenge behind the workflow.
Inspection findings and repair histories use different asset references, making evidence difficult to assemble.
Connect asset, production, maintenance, environmental, and commercial information across field and enterprise systems. Keep measurement context and engineering review attached to analysis, especially when sources use different units and reporting intervals.
Data to bring together
- Inspection records
- Pipeline asset registers
- Repair histories
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Map inspection locations and dates to the maintained asset reference model.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Identify missing inspection context and unresolved findings requiring specialist review.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish an integrity evidence workspace with source references and accountable owners.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A pipeline integrity evidence workspace
Make the next run easier.
Reusable location mappings simplify recurring inspection and repair reconciliation.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Time to assemble an asset inspection history
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Certified specialists assess integrity and authorize operational decisions.
AI with professional judgment.
Use AI to summarize operational evidence and draft investigation notes. Engineering and safety decisions require qualified review and remain outside autonomous control.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.