Plant As-Built Modeling
Plant As-Built Modeling from 3D Laser Scanning Point Cloud Data
We provide plant as-built modelling services using laser scan data to create precise 3D models of piping, equipment, and structures. Based on project requirements, we deliver both primitive (dumb) models for geometry reference and intelligent models with engineering data and attributes.
Our models reflect actual plant conditions and are used for revamp, brownfield projects, clash detection, and engineering design.
Our plant as-built modelling services help you:
- Convert point cloud to 3D plant models
- Develop as-built piping, equipment, and structural models
- Support retrofit and modification projects
- Improve design coordination and accuracy
Industries We Serve
Oil and Gas
Refineries and processing plants
Power Plants
Thermal and renewable facilities
Chemical Plants
Manufacturing units
Industrial Plants
Heavy engineering facilities
Marine and Offshore
Ship structures and offshore assets
Why Clients Choose Our Plant As-Built Modelling
Primitive and Intelligent Modelling
Deliver both primitive models (geometry-based) and intelligent models with line numbers, tags, and attributes.
Accurate Point Cloud Modelling
Models created directly from registered point cloud data for real-condition representation.
Plant-Level Detail
Covers piping systems, equipment, cable trays, and structural components as per Level of details confirmed by client.
Optimized and Structured Models
Well-organized models for easy navigation and practical use.
Clash Detection Ready
Models prepared for coordination and clash detection in project workflows.
Reliable Delivery / First time right mindset
Defined modelling process with validation at each stage.
Plant As-Built Modeling Workflow
01
Point Cloud Registration (FARO SCENE)
Register and align scan data to generate unified RCP / RCS point cloud files.
02
Point Cloud Cleanup and Segmentation
Remove noise, isolate areas, and segment plant zones for modelling.
03
Model Setup
Import point cloud and set up project environment, coordinates, and reference levels.
04
Primitive (Dumb) Modelling
Create geometry-based models:
- Piping routes (centerline-based)
- Equipment volumes
- Structural steel (beams, columns, platforms)
Output: Basic 3D geometry without metadata.
05
Intelligent Modelling
Develop intelligent plant models with:
- Line numbers and pipe specs
- Equipment tags
- Component-level data (valves, fittings, supports)
Output: Data-rich plant model with attributes.
06
Routing and Component Modelling
Detailed modelling of:
- Pipes, elbows, reducers
- Valves and flanges
- Cable trays and supports
07
Model Coordination and Clash Detection
Perform clash detection between:
- Piping vs structure
- Equipment vs routing systems
Output: Clash reports (.HTML / .XML)
08
Quality Control and Validation
Check model accuracy against point cloud:
- Dimensional verification
- Alignment checks
09
Final Model Structuring and Delivery
Organize model by:
- Area / unit
- Discipline (piping, structure, equipment)
Plant As-built Modeling Deliverables
- Registered point cloud files (.RCP / .RCS / .E57)
- Primitive 3D plant models (.RVT / .DWG / .NWD)
- Intelligent plant models (.DWG (Plant 3D) / .DGN / .RVT)
- Piping models with routing and specifications
- Equipment models with tags and attributes
- Structural models (steel, platforms, supports)
- Clash detection reports (.HTML / .XML)
- 2D drawings (GA drawings, plans, sections, isometrics)
- Extracted deliverables (BOQ / line lists / equipment lists)
Frequently Asked Questions
Plant as-built modelling is the process of converting laser scan or point cloud data into accurate 3D plant models representing existing piping, equipment, structures, and industrial systems.
Primitive models focus on geometry representation only, while intelligent models include engineering data such as line numbers, equipment tags, specifications, and component attributes.
Plant modelling services are widely used in oil and gas, power generation, chemical plants, marine facilities, offshore projects, and large industrial processing environments.
Clash detection identifies conflicts between piping, structures, cable trays, and equipment systems before construction, helping improve coordination and reduce costly site modifications.
Intelligent plant models improve engineering workflows by integrating geometry with engineering attributes, enabling better coordination, asset management, quantity extraction, and maintenance planning.
Plant models commonly include piping systems, valves, flanges, cable trays, equipment, supports, structural steel, platforms, and associated plant infrastructure components.
Point cloud data captures existing plant conditions accurately, helping engineers create reliable 3D models for retrofit planning, clash detection, and brownfield project coordination.
Plant modelling projects commonly use Autodesk Plant 3D, Revit, Navisworks, FARO SCENE, AutoCAD, and Bentley software for modelling and coordination workflows.
Plant modelling provides accurate existing-condition data, helping engineering teams plan modifications, upgrades, and equipment installations while minimizing site conflicts and rework.
Typical deliverables include point cloud files, intelligent plant models, piping layouts, clash reports, GA drawings, isometrics, BOQs, and equipment or line lists.