Digital Twins (DTs) are becoming commonplace in several application areas. In the Oil and Gas (O&G) industry, there are several possibilities for using DT technologies to improve different processes, from seismic exploration and drilling, passing through reservoir and production engineering, and ending in transportation and distribution. As a result, DTs collects a vast amount of data that are crucial to support analytics tasks and decision-making. Data visualization plays a key role in generating insights about DT data, which require supports to analytics tasks such as anomaly and detection or correlation analysis, among others. Our main task is to provide support for data visualization tools in the project, with the current goals:

• Investigate how data visualization techniques can be used to explore and create insights over different sources of DT data
• Investigate the relationship of ontologies and data exploration using interaction techniques and data visualization

Development of a visual analytics systems to display time series sensor data associated with a production plant 

Development of an ontology-based visual interface for exploring time series data collected from sensors