Parametric, equipment-count-driven quantification of bulk piping material, deliverables, and discipline man-hours for a Gas Plant or Gas-Oil Separation Plant (GOSP) at FEED / conceptual stage.
Defaults are planning-grade industry heuristics, pre-set by plant type. Override any value to calibrate against your own historical job data.
| Activity | MH |
|---|
This tool produces an equipment-factored estimate — AACE Class 5–4 methodology. It cannot reach detailed-design accuracy (Class 3 or better) without a 3D-model take-off. References are grouped by how directly they support the output: the framework and accuracy classes are standards-based; the labour and quantity norms draw on published estimating literature; the cascade density ratios are practitioner planning figures you must calibrate.
A · Methodology & accuracy framework — standards
| Class | Definition maturity | Typical use | Method | Typical accuracy |
|---|---|---|---|---|
| 5 | 0–2% | Concept screening | Capacity-factored, parametric, analogy | −50% … +100% |
| 4 | 1–15% | Feasibility, option select | Equipment-factored, parametric | −30% … +50% |
| 3 | 10–40% | FEED, budget / FID | Semi-detailed unit costs, assembly items | −20% … +30% |
| 2 | 30–75% | Detailed design, control / bid | Detailed unit costs, forced take-off | −15% … +20% |
| 1 | 65–100% | Execution, check / tender | Detailed unit costs, full MTO | −10% … +15% |
Highlighted row = what this tool produces. An equipment-factored estimate is Class 4 by method, whatever the project phase. Note FEED by maturity sits at Class 3 — but you only reach Class 3 accuracy with a model-based MTO, not equipment factors. Values are typical at an 80% confidence interval (process-industries, 18R-97) and must be confirmed by project-specific risk analysis. Source: AACE 18R-97.
B · Quantity & man-hour data — published literature
C · Cascade density ratios — practitioner norms (calibrate)
Governing design codes — scope context