Abstract The potential to obtain the correct information, manage it, and interchange it are some of the keys to the success of a project. Integrating multiple information systems and presenting functionalities within a unified view remains challenging, particularly for long-term projects such as production plants in the Oil and Gas industry. Digital Engineering contributes to representing, consuming, and managing the engineering information associated with process plants. In the Oil and Gas industry context, the Capital Facilities Information Handover Specifications (CFIHOS) represents an initiative to improve how information is exchanged between companies that own, operate, and build equipment for the process and energy sectors. In that sense, CFIHOS proposes a data model and a library (Reference Data Library—RDL) with standard terms for data interchange. A review of current solutions supporting CFIHOS guidelines and its proposed data model revealed that few software implementations fully support CFIHOS specifications. This work presents an implementation using a subset of the CFIHOS data model for all CFIHOS´s Contract Scenario Templates. The use case was implemented over the INSIDE system, allowing dynamic integration between heterogeneous databases using an architecture based on web services. The knowledge of extracting the information from databases and generating the data structured to accomplish the CFIHOS data model was encoded in INSIDE by defining data services in the knowledge base. Addressing the gap in data model verification is critical to enhancing the effectiveness of data integration practices and ensuring compliance with CFIHOS standards, but no available tools verify if the information in a file complies with the CFIHOS data model and RDL information. For this reason, a prototype of a validator was implemented to verify the challenges of using CFIHOS. It was tested following the use case context of Petrobras company. The developed CFIHOS Validator complements the data extraction, and data verification flows according to this standard.

In the new era of Information & Communication Technologies, the interoperability between systems has been gaining importance in the industry, becoming the key to achieve better information management, production control, decision making, failure control, and risk management, significantly reducing the production costs. Studies to provide interoperability between systems have been focused on computational architectures, including conceptual models and implementations. In this work, a novel proposed architecture is presented. It is based on paradigms like Polystores and Ontology-based Data Access (OBDA), and streaming data processing over micro-services. Also, an implementation of the proposed architecture was developed. Finally, the approach was evaluated over a case study that integrates engineering data from different data sources in the oil and gas industry context.