Workshop Digital Twins for Pipe Transport Networks
CWI hosts it’s third workshop organized in the context of the Indo-Dutch project, “Digital Twins for pipeline transport networks”. The aim of the project is to develop a digital twin that connects sensor data and advanced fluid solvers in order to detect possible leakage of fluid from the pipeline in real-time. Of particular interest is then also to develop machine learning based solvers for physics-based models, as traditional solvers are typically much too slow for real-time applications.
The aims of the workshop are to present the results of the ongoing project and to connect to the broader industrial and academic world working on pipe transport networks. The list of speakers contains a mix of people from inside and outside the project.
09:00 – 09:15 Welcome
09:15 – 10:00 Claire Heaney, AI-based Reduced-Order Modelling of Pipe Flows
10:00 – 10:45 Sridharakumar Narasimhan, TBA
10:45 – 11:30 Zoran Kapelan, AI-based Detection of Pipe Bursts/Leaks
11:30 – 13:00 Break and lunch
13:00 – 13:45 Mark Roest, Digital twins and experiments in leak localization
13:45 – 14:30 Prerna Pandey, A Two-Stage Model for Data-Driven Leakage Detection and Localization in Water Distribution Networks
14:30 – 15:15 Nikolaj Mücke, Probabilistic Digital Twins for Leak Localization in Pipe Flows
15:15 – 15:30 Closing remarks
15:30 Drinks and snacks