Abstract:
Digital twins (DTs) have emerged as a prominent technology across various industries. However, their development in the Oil and Gas sector faces challenges related to the size and complexity of the domain, which leads to a focus on specific sub-problems like maintenance or optimization with hard, further integrated solutions. These DTs typically lack open architectures since they base the implementations on third-party solutions. This lack of architecture frameworks hinders rapid and scalable DT development and complicates the integration of new assets, services, and data sources. This paper introduces a semantic-oriented DT Framework from the PeTWIN project, which aims to address these challenges by offering (i) a data-centric, data-driven software solution, (ii) an open, modular, and extensible microservices architecture, and (iii) a semantic ontology-based strategy for integration and interoperability. The paper details the key architectural components, behaviours, and interfaces to meet industry needs and provides a proof of concept demonstrating the framework’s capabilities.

Keywords: Digital Twins, Oil & Gas Industry and Software Architecture.

Authors: Marcos Tomazzoli Leipnitz, Rafael Humann Petry, Fabrício Henrique Rodrigues, Haroldo Rojas de Souza Silva, Jaqueline Bitencourt Correia, Karin Becker, Juliano Araújo Wickboldt, Joel Luís Carbonera, João Cesar Netto and Mara Abel

Journal/Conference: Procedia Computer Science – Elsevier

Publication: https://doi.org/10.1016/j.procs.2025.02.149