PeTWIN: Whole-field digital twins for production optimization and management

Digital twins are necessary for the successful digitalization of oil and gas field operations. Unfortunately, they are poorly understood and hyped.

This project will provide a much-needed research agenda to (1) work with existing industry initiatives in digital twins for field management so as to (2) develop the methods needed to create a next generation of scalable, maintainable and useful digital twins. We will build shared conceptual models of the field management domain and the lifecycle of information in the digital twin. These models wills support current and future petrotechnical applications and allow better governance of data in the digital twins. They also improve data access, support smarter analytical methods and enable new, digital workflows.

Tags: Agent-based modeling, Control theory, Data fusion/integration, Data structures/architectures, Databases, Digital twins, Graphical modeling, Graph neural networks, Graph theory, Information extraction/retrieval, Knowledge representation, Natural language processing, Operating systems, Optimization, State space models, Systems theory, Time series, Visualization, Information technology
Published July 6, 2023 2:55 PM - Last modified Oct. 23, 2023 11:57 AM