Aramco Abqaiq Plant Digital Twin
A high-accuracy digital replica of the Abqaiq plant, enabling better inspection, asset monitoring, and data-driven maintenance decisions.
Service name
Digital Twins
Client
Saudi Aramco
Year
2023
About the work
ATINUM supported the development and deployment of a full 3D digital twin environment for Aramco Abqaiq Plants using our software (ProcessHub), including capturing plant assets through drone scanning and processing the data into accurate, scaled 3D models of equipment and piping. The solution integrates live operational data into the digital twin through dashboards, widgets, and monitoring bubbles, enabling teams to view parameters, alarms, and historical trends while navigating the plant virtually. It also supports multi-user collaboration (metaverse-style), alarm and ticketing workflows, isolation map simulations for planning, and AI-powered predictive analytics to enhance reliability and proactive maintenance.
Objective
- Enable a virtual 3D digital twin of Abqaiq Plants equipment and piping
- Provide real-time equipment monitoring directly inside the digital twin environment
- Support collaboration across plant teams via multi-user interaction and communication tools
- Integrate plant data sources (PI tags and server connectivity) for live operational visibility
- Introduce predictive readings and failure indicators to improve proactive maintenance
Goal
Optimize plant operations and support proactive maintenance by combining accurate 3D digital twin visualization with live process data, alarms, tickets, and AI-based predictive analytics.
Outcome
- Accurate scaled 3D digital replica of plant assets created through drone scanning and photogrammetry
- Immersive navigation experience (first-person / third-person / flight mode) for plant visualization and review
- Real-time equipment status monitoring using color-coded bubbles and parameter windows
- Live operational dashboards covering energy intensity KPIs, processing, emissions, water consumption, and quality
- PI tag & historical data connectivity for trend analysis and monitoring over selectable timeframes
- Alarm and ticketing system enabling faster issue tracking, escalation, and resolution
- Isolation map simulation capability for leak scenarios and valve closure planning
- Predictive maintenance support using machine learning (LSTM time-series prediction models)
- Deployment inside Aramco network environment for secure internal accessibility
Our more works
Leveraging cutting-edge technology and expert knowledge to deliver exceptional results. Our team specializes in advanced surveying, construction management, safety surveillance, and detailed inspections using state-of-the-art equipment and methodologies.
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