Oil and Gas Production Forecasting with Machine Learning (Demo)

Oil and Gas Production Forecasting with Machine Learning (Demo) Overview: The oil and gas production forecasting solution applies machine learning techniques to historical production data to predict future production behavior. The tool supports Digital Twin...

AWS Twin Maker Configuration (Demo)

AWS Twin Maker Configuration (Demo) Overview:The cloud architecture demonstration developed within PeTWIN presents an approach for contextualizing time-series data from petroleum production through an ontology-based semantic layer. The solution combines cloud-based...

Semantic Layer-Based Time-Series Navigation (Demo)

Semantic Layer-Based Time-Series Navigation Overview: Digital Twins require semantically consistent integration of information about equipment, physical connections, and time series. A semantic layer based on ontological definitions and knowledge graphs can provide a...

Presentation at OSDU F2F Forum

Presentation at OSDU F2F Forum Overview: Digital Twins require the semantically consistent integration of real-time and historical data related to different aspects of the domain and that are managed by software applications from different vendors. The Petwin project...

SPE Brasil DigiTalks 12

Presentation at SPE Brasil DigiTalks 12 Overview: The data analysis process requires a common understanding of the meaning of specific data. Searching, sorting and retrieving this data under a consistent view is always a challenge for geologists and engineers to...