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...

Core Ontology of Petroleum Installations (COPI)

Core Ontology of Petroleum Installations (COPI) Overview: The Core Ontology of Petroleum Installations (COPI) is a domain-core ontology for representing petroleum production plants and their physical and informational organization. COPI provides a shared semantic...