Case Study
digital twins & decarbonization
Intro
Revolutionizing Offshore Drilling:
Stavanger Digital Twin Project
Stavanger, the digital twin offshore platform developed between Siemens and Aker Solutions, utilized advanced digital technologies to optimize operations, enhance engineering solutions, and amplify decarbonization. Technologies included:
Comos Engineering Platform: Central to managing the plant’s lifecycle, integrating data and processes for enhanced decision-making.
Executable Digital Twin: Using real-time data to dynamically simulate and predict operational outcomes, optimizing processes.
Automation, Electrification & Digitalization Technologies (AED): Enhancing operational efficiency and reliability, reducing manual intervention.
Advanced Simulation Tools: Models physical assets’ performance under various scenarios to aid in design and troubleshooting.
Data Analytics: Processes and analyzes data from platform sensors to optimize operations and predict maintenance needs.
IoT and Sensor Technology: Enables continuous monitoring of the platform’s components and environmental conditions.
Cloud and Edge Computing: Manages large data volumes and performs real-time analytics and computations.
These technologies combined to create a highly sophisticated digital twin that not only mirrors the physical and operational characteristics of the Stavanger offshore platform but also provides actionable insights to improve efficiency, safety, and sustainability through decarbonization.
DETAILS
This case study outlines the scope of the Stavanger Digital Twin Project and the in-house IT architecture needed to support the digitalization of data, advanced tools, and technologies. Highlights include the challenges of integrating complex systems to facilitate seamless, real-time data flows essential for optimizing offshore drilling operations.
Scope
The scope of the Stavanger Digital Twin Project from an IT perspective focused on several key aspects necessary for successful implementation:
Complex Data Integration: Managing the intricacies of integrating and harmonizing data from various sources, including real-time operational data and historical datasets, to ensure a coherent and fully functional digital twin environment.
Interdisciplinary Collaboration: Facilitating effective collaboration across various teams—business units, IT, engineering, external partners, and suppliers—to align on goals, share insights, and integrate diverse perspectives essential for the project’s success.
IT Infrastructure Alignment: Upgrading and aligning Siemens’ existing IT architecture to support the advanced digitalization needs of the offshore platform, ensuring robust, scalable, and secure infrastructure capable of handling sophisticated simulations and analytics.
Real-time Data Processing & Analytics: Develop capabilities for real-time data processing and analytics to provide timely insights for operational decision-making and predictive maintenance, critical for the ongoing optimization of platform operations.
System Synchronization & Compatibility: Ensuring that all system components and data streams work seamlessly together, addressing compatibility issues between new digital solutions and legacy systems to maintain continuous and efficient operations.
These elements highlight the strategic and technical challenges involved in developing a digital twin, reflecting the critical importance of a cohesive approach to digital transformation in complex industrial settings.
Deliverables
Based on the scope outlined for the Stavanger Digital Twin Project from an IT perspective, the deliverables that align with the project’s objectives are as follows:
Integrated Data Management System: Deliver a comprehensive system for integrating and managing data from various sources, ensuring consistency and accessibility across all platforms. This system should facilitate the seamless flow of real-time and historical data crucial for the digital twin’s operation.
Collaborative Stakeholder Engagement: Established a robust framework to enhance communication and collaboration among all stakeholders, including business units, engineering teams, IT, external partners, and suppliers.
Upgraded IT Infrastructure: Implemented upgraded IT infrastructure that was scalable, secure, and capable of supporting advanced digitalization tasks. This infrastructure supported high-performance computing, large-scale data storage, and robust cybersecurity measures to handle the complexities of the digital twin operations.
Real-Time Analytics Platform: Deployed real-time data processing and advanced analytics platform, enabling operational insights, predictive maintenance alerts, and decision-support tools to optimize performance and reliability.
System Synchronization Solution: Provided a comprehensive solution for system synchronization and compatibility to integrate new digital technologies with existing legacy systems effectively.
These deliverables addressed the technical and collaborative challenges highlighted in the project scope, ensuring the digital twin platform operated efficiently on-site and within back-end systems.
Revenue &
Costs
Cut operational and maintenance costs by 15-25% by optimizing resource use and preventing costly downtimes.
Operational Efficiencies
Increased efficiency by 20-30% through real-time insights and predictive maintenance.
Asset
Longevity
Extended equipment lifespan by up to 20%, reducing replacement costs and improving sustainability.
Risk &
compliance
Enhanced safety measures, reducing incident rates by over 10% with advanced predictive analytics.