Núcleo de Fusão de Dados de um Gêmeo Digital da indústria de petróleo e gás

Correia, Jaqueline B.; Abel, Mara; Becker, Karin

doi:10.5753/sbbd.2021.17896

Cited by 1 publication

(1 citation statement)

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“…• 407 complements the potential of this platform to meet the needs of such a DFC. This article extends our previous position paper [Correia et al 2021] with an updated related work, a more comprehensive description of the OSDU data platform and discussion on its strengths and limitations, and detailing the complementary roles of the OSDU platform and ontologies for data enrichment in a DFC. Our main contributions are: (i) a critical analysis of data management resources provided by OSDU that can be leveraged to create a functional DFC for an O&G DT and (ii) initial ideas on the complementary role of the OSDU data representation and ontologies in a DFC.…”

Section: Introductionmentioning

confidence: 71%

Data Management in Digital Twins for the Oil and Gas Industry: beyond the OSDU Data Platform

Correia

Rodrigues

Santos

et al. 2022

jidm

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Competitiveness in the Oil and Gas (O&G) sector has required high technological investments for datacentric decisions. One of the trends is the adoption of Digital Twins (DTs), which use virtual spaces and advanced analytical services to monitor and improve physical spaces. Central to the interconnection of these systems is a Data Fusion Core (DFC) component, which provides data management capabilities. Although the literature has proposed data management functionality in the scope of specific O&G DT applications, different joint efforts towards standardization can be found to deal with data integration and interoperability in the industry. The Open Subsurface Data Universe (OSDU) data platform is an initiative by several partners members of The Open Group consortium created to eliminate data silos in the O&G ecosystem and leverage innovation through a data-driven approach. In this article, we look at the convergence of this effort in providing data management functionalities for digital twins, highlighting strengths, gaps, and opportunities. We investigated the extent to which the OSDU data platform meets the needs of a DFC implementation, with a focus on interoperability, integration, governance, and data lineage. We also propose additional resources for data management in this context, namely data enrichment, workflows, and data lineage. Our main contributions are: (i) analysis of possible data management capabilities for creating a working DFC for an O&G DT and (ii) initial ideas on the complementary role of OSDU data representation and ontologies and how this semantic enrichment can be leveraged in a DFC of a DT.

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Section: Introductionmentioning

confidence: 71%