PeTWIN
Whole-field digital twins for production optimization and management
Objectives
PeTWIN defines a research-based agnostic vision and the best practices for implementing sustainable, usable and maintainable digital twins for field management. We address the interdisciplinary IT challenges of digital twins by understanding the requirements of digital twins for petroleum production. Based on these, we conceive solutions in the state of art of scientific research for data integration and interchanging through the adoption of standards and ontology models, data storage exploring the best system architecture and cloud solutions, and data analytics and simulation using visualization and artificial intelligence techniques.
Project Areas
Business Process and Corporate Architecture Modeling
Improving efficiency enhancement through business modeling tools
Requirements Engineering
Gathering requirements of Digital Twin from O&G domain experts and scientific literature
Data Science and Visualization Team
Time series visualization and ontological navigation
AI for anomaly detection and predictive maintenance
Time series analysis for anomaly detection and predictive mantenance optimization
Ontology
Conceptual modeling of production-plant related entities in order to make sense of domain data and vocabulary
System and Deployment Architecture
Conceptual system architecture and Cloud-based deployment of conceptual components
Data Management and the OSDU Platform
Multiple source data integration in a single repository
Academic Partners
Sponsors
Industrial Partners
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