Case Studies

Real stories from real BIM people

Google Kirkland Campus – MEP Point Cloud Case study


Published by:
Company: Advenser Engineering Services PVT Ltd
Location: Cochin, India
Google Kirkland Campus – MEP Point Cloud Case Study

Project information

Building Type: Office

Location: Washington, USA

Inputs: Point Cloud file

Deliverables: BIM model

Software: Revit 2016

Services: FABMEP-2014, Recap

Business model adopted:

An hourly business model was fixed for this project, which involved modeling of duct pipes and plumbing from the Point cloud data client provided us.

Project synopsis:

A new 2-storey building was to be built in the Google Kirkland campus, situated in Washington, USA to suit the existing office building over one level of structured parking. The Phase II of the Google campus situated near downtown Kirkland and adjacent to Google’s current office encompassed a 180,000 square feet office space and 720 underground parking stalls. The 100-foot railroad right of way which separated the two sites was to be redeveloped in the later stages of Phase II to facilitate the necessary vehicular, pedestrian, and infrastructure improvements to connect the two phases.

Our scope of services:

To create a BIM model of HVAC with LOD 400 and plumbing services from the 3D scanned point cloud data of the building.

The major challenge of this project was to model the pipes which drop from the ceiling to the plumbing fixtures through the wall chases. The rough sketches from the clients were used to resolve the issue.


Team Advenser was successful in the modeling in FABMEP-2014 with the assistance of Autodesk Navisworks and Autodesk Recap. The final deliverable submitted by us included an As-built model of HVAC ducts, pipes and plumbing services together with supports.

Type of Work
  • Building
How was the BIM Experience in the project?
Reality Simulation: Does it help to get an idea of the final product?
Waste reduction, labor costs and deviations
Greater control of the construction process
Improves collaboration between agents
Conflict resolution and clash detection
Correction and error handling
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