Case Study: Khatib & Alami achieves a high‑accuracy Muscat digital twin for security and flood planning with Bentley ContextCapture and LumenRT

Khatib & Alami Creates Digital Twin of Muscat to Improve Security and Plan for Flooding Events

Khatib & Alami was contracted by the Sultanate of Oman to create a detailed digital twin of roughly 250 km² around Muscat to improve national security and flood preparedness. They faced a 125‑day deadline with only a 14‑day UAV flight window to capture 330,000 images, strict accuracy targets (10 cm GSD and <20 cm relative accuracy), challenging weather and airspace constraints, and un‑geototagged imagery—so they selected Bentley’s reality‑modeling tools, including ContextCapture and LumenRT.

Using Bentley’s ContextCapture for large‑area reconstruction and LumenRT for visualization, Khatib & Alami produced a 3D model with 43,000 fully textured buildings, expanded coverage to 280 km², and achieved GSD/DSM accuracy of about 5 cm (down to 2 cm in places). Automation and parallel processing cut resource hours, enabling delivery in 90 days (35 days ahead) and saving roughly USD 150,000 in resource costs plus an additional USD 48,000 from earlier completion; the model integrates with GIS and enables flood and security simulations for decision makers.

Khatib & Alami

Rouba Zantout

Manager and Senior Business Analyst