A digital twin is an integrated database of a production plant associated with a simulation system conceived for monitoring the operation in real time. This framework supports data analytics and predictive evaluation of the petroleum flow and the maintenance schedule. The information that feeds a modern oil-field digital twin is usually spread across many systems and file formats from several service companies that perform specific tasks during operations.

The ontology group is developing a well-founded domain ontology(1) for the documentation of the meaning and logical restriction of the assets and processes involved in the petroleum production and the facility maintenance, structuring the model framework for the semantic interoperability of data operated by the digital twin. We proposed a network of independent domain ontologies, each one dealing with a specific part of the petroleum production process. The whole ontology network specializes the same top ontology and follows the same building methodology (2). The framework will support software application access to verify the semantic restrictions of the entities in the data exchanges or data analytics, and user consultation for vocabulary clarification.

Ontology-based visualization on monitoring 

A navigation and dashboard tool for exam plant production monitoring data. The tool provides a uniform view over the several measures taken in a production installation and support the cross correlation and anomaly detection on the well behavior.