What Is a Line List and Why Does It Take So Long?
A piping line list is a structured register of every piping line in a design. Each row captures the line number, service, fluid, design pressure, design temperature, pipe class, insulation, and connected equipment. It is one of the most universally required deliverables on EPC and FEED projects.
The problem is where the data lives. Line information is distributed across P&ID callouts, title blocks, notes, and associated documents — spread across every drawing in a package. There is no single place to read it. An engineer has to work through the drawing set one line at a time, reading notation, interpreting abbreviations, and keying values into a spreadsheet.
On a 100-drawing package, that is 400–800 lines. At even conservative rates, building the line list manually means 2–4 weeks of engineering time before the team can move to the next deliverable.
How AI Line List Extraction Works
AI line list extraction automates the reading-and-extraction step. Rather than engineers reading drawing notation line by line, an AI pipeline reads the drawings and structures the output.
Here is how Novek's pipeline works:
1. Drawing ingestion
The P&ID set is loaded as a drawing package, not converted to plain text. The visual layout of each drawing is preserved.
2. Line designation recognition
Piping line designations follow a structured notation: line number, service abbreviation, nominal diameter, pipe class, insulation class. Novek reads this notation and parses each component.
3. Attribute extraction
For each identified line, Novek extracts the associated attributes: service description, design conditions (where stated), pipe class, insulation spec, and from/to connections.
4. Cross-drawing consolidation
The same piping line often appears on multiple P&ID sheets (continuing lines). Novek consolidates these appearances so the final line list has one row per line, with all drawing references captured.
5. Source-linked output
Every row in the exported line list links back to the drawing and location it came from. Engineers can verify any row against its source without re-reading the drawing.
What Fields Does the Line List Contain?
A typical AI-extracted line list from Novek contains:
| Field | Source |
|---|---|
| Line number | P&ID line designation callout |
| Service description | Abbreviation expanded from the line designation |
| Nominal diameter | Extracted from line designation |
| Pipe class | Extracted from line designation |
| Design pressure | From drawing notes or connected equipment data |
| Design temperature | From drawing notes or connected equipment data |
| Insulation class | From line designation or separate insulation spec |
| From / To | From and to connections shown on the P&ID |
| P&ID sheet reference | All sheets where the line appears |
Output format maps to the project's piping line list template — not a generic export that needs reformatting.
Where the Line List Fits in an EPC Workflow
The line list is an early deliverable that many downstream activities depend on:
- Stress analysis — pipe stress engineers need the line list to scope and prioritise their work
- Piping material take-off (MTO) — the MTO extends the line list with quantities
- Procurement — pipe classes and line counts feed procurement schedules
- Hydrostatic test packages — test boundaries are defined against the line list
- As-built documentation — the finished line list is part of the as-built record
When line list extraction is slow, all of these activities wait. When it is fast and accurate, teams can move faster across the project.
The Review Step: Why Source Links Matter
Speed is not the only goal. The line list has to be right. That means the engineering team needs to be able to check the extracted output efficiently.
Source links make this possible. With Novek, every row in the line list shows which drawing page it came from and where on that page. Engineers can open the source, scan the callout, and confirm the extraction — in seconds per row rather than minutes.
This is the difference between a fast extraction that still requires full re-reading of the drawing set to verify, and a fast extraction that is also fast to check.
Common Questions From Engineering Teams
Can AI handle all P&ID line naming conventions?
Line designation formats vary by contractor and project. Novek can be configured to match the project's line naming convention. Where deviations exist, rows are flagged for review rather than silently misread.
What about continuing lines that span multiple drawings?
Continuing lines are identified and consolidated. The final line list entry captures all drawing references, not just the first sheet where the line appears.
Our P&IDs are in revision — can we re-run extraction after a revision?
Yes. Updated drawings can be re-run and the delta — new lines, removed lines, changed attributes — is shown as a change list against the previous extraction.
How does this work with draft or in-progress P&IDs?
Extraction works on draft P&IDs with the same pipeline. Lower-completeness drawings produce partial line data, which is clearly indicated so engineers know what still needs to be confirmed.
What Teams Report After Switching to AI Line List Extraction
Teams using Novek for line list work consistently report the same outcomes:
- Line list completion in hours, not weeks
- Engineers spending time on review and check rather than data entry
- Fewer errors reaching client review — mismatches are caught during extraction, not during QA
- More projects serviced by the same team without additional headcount
The structural change is not just speed. It is that the engineering team's role shifts from doing data entry to reviewing an extracted output — which is a fundamentally higher-value use of engineering time.