Success Stories
In-depth insights from our successful projects and the measurable impact we've delivered for our clients
Digital Twin & AI Solutions
Transforming asset management through automated visual recognition and AI-driven data integration. Our computer vision platform eliminates manual tag registration, enabling rapid deployment of operational digital twins with 100% data accuracy.
Visual Recognition & Tag Automation
From Point Cloud to Intelligence: Automating Asset Data Integration for Operational Digital Twins.
1. Challenge
A major oil and gas operator faced significant challenges in maintaining accurate asset registers across their offshore facilities. With over 20,000 equipment tags spread across multiple aging platforms, manual data entry and verification processes were error-prone, time-consuming, and required frequent site visits. The absence of reliable asset integrity management data threatened operational safety and complicated maintenance planning. Traditional methods could not keep pace with the scale and complexity of their asset information needs.
Virtue Eye, 3D Laser Scanning, Data Integration.
2. Our Approach & Solution
The Geosoft Digital Twin department developed an AI-driven visual recognition system that automates the entire asset identification and data integration workflow. Our solution transformed raw point cloud data into intelligent, actionable asset information.
- Computer Vision Implementation: We deployed advanced computer vision and machine learning algorithms specifically trained on industrial equipment and tagging systems, capable of recognizing asset tags under various lighting and surface conditions.
- Automated Data Mapping: The system automatically reads tag numbers from 3D laser scan data and maps them to existing asset registers in legacy systems, eliminating manual data entry and reducing human error.
- Seamless Platform Integration: The automated tag recognition feeds directly into our Virtual Eye digital twin platform, creating a live connection between physical assets and their digital counterparts without manual intervention.
- Quality Assurance Protocol: We implemented a multi-layer validation system, combining AI confidence scoring with selective manual verification to ensure 95%+ accuracy in tag recognition and data assignment.
3. Technologies & Methodologies
| Category | Tool / Technology | Purpose |
|---|---|---|
| AI & Computer Vision | TensorFlow, PyTorch, OpenCV | Automated asset recognition, tag reading from point clouds |
| Data Integration | REST APIs, SQL Server, Oracle DB | Legacy system integration, real-time data synchronization |
| Platform Development | Virtual Eye Platform, .NET Core | Digital twin application development, user interface |
| 3D Data Processing | Autodesk ReCap, CloudCompare | Point cloud preparation and optimization |
| Quality Assurance | Custom Validation Framework | Accuracy verification, confidence scoring |
| Security | Azure Key Vault, SSL Encryption | Data protection, secure API communications |
4. Results & Impact
- Operational Efficiency: Achieved 80% reduction in time required for asset data processing and registration, transforming weeks of manual work into days of automated processing.
- Data Accuracy: Reached 95% automation accuracy in tag recognition and data assignment, significantly improving the reliability of asset information for critical decision-making.
- Cost Reduction: Eliminated the need for repeated offshore visits specifically for data verification, reducing operational costs and HSE exposure.
- Digital Twin Enablement: Provided the foundational data layer for rapid digital twin deployment, enabling the client to achieve operational digital twins in weeks rather than months.
- Future-Proofing: Established a scalable framework that can adapt to new asset types and tagging standards as the facility evolves.
Conclusion
This project demonstrates GeoSoft's capability to bridge the physical and digital worlds through pragmatic innovation. By combining advanced computer vision with deep industry knowledge, we solved a fundamental data challenge that had hindered effective asset integrity management for years. The automated visual recognition system doesn't just save time—it creates a reliable, always-current digital representation of physical assets, forming the essential foundation for predictive maintenance, operational excellence, and long-term asset sustainability. This is digital transformation that delivers immediate value while building capability for the future.
Trusted by Industry Leaders
We partner with offshore operators and pipeline companies to deliver precision survey solutions.
Offshore Operations
Major offshore oil and gas operators trust our survey technology for critical infrastructure projects.
Pipeline Companies
Leading pipeline infrastructure companies rely on our precision mapping and underground utility services.
Engineering Firms
Engineering consultancies partner with us for accurate survey data and 3D modeling services.
Impact
Timeline
Comprehensive survey results delivered in six weeks.
Deliverables
Topographical drawings, digital terrain models, contour maps, longitudinal profiles, 2D & 3D underground utility maps.
Safety
Avoided potential hazards and optimized pipeline route.
Cost-Efficiency
Achieved significant cost savings and reduced construction time.
Technology
Utilized advanced tools like LiDAR and GPR.
Efficiency
Enhanced data collection and analysis processes.
Let GeoSoft help you shape the future of your industry
Our advanced digital twin solutions redefine asset management, enhancing efficiency and collaboration.