Jamile Eleutério Delesposte

Digital Twin technologies have seen growing adoption in the Oil and Gas industry, yet the term is applied to systems with markedly different levels of data integration, analytical capability, physical–digital interaction, and operational autonomy. Existing classifications distinguish broad categories such as Digital Models, Digital Shadows, and Digital Twins but provide limited guidance for the Oil and Gas context, as they do not explicitly differentiate behavioral representation, analytical sophistication, asset-to-model synchronization, digital-to-physical interaction, and decision-making autonomy. This limitation makes it difficult to compare implementations that share the same Digital Twin label but differ substantially in functional configuration and sophistication. To address this gap, this paper proposes a framework comprising seven capability-based categories: Static Digital Model, Dynamic Digital Model, Analytic Digital Model, Digital Shadow, Analytic Digital Shadow, Digital Twin, and Intelligent Digital Twin. The framework was developed through research synthesis and descriptive analysis and empirically assessed by classifying 92 industry-specific studies using a hybrid procedure that combined Generative AI (G-AI) assessments with researcher review. The results show that many systems labeled as Digital Twins in the reviewed literature are reported at intermediate levels, while incomplete reporting of synchronization, analytics, and decision autonomy contributes to classification ambiguity. The proposed framework clarifies the boundaries among Digital Twin configurations and supports the evaluation of existing applications, the identification of capability gaps, and the development of more integrated and autonomous solutions.

Innovation projects with sustainable characteristics are increasingly seen as strategic drivers for organizations to expand market share and retain customers. Yet, firms face limited resources while dealing with many potential projects. To address this challenge, an integrated framework for evaluating and ranking innovation projects using sustainability-related factors can support more consistent decision-making. Although several models for project selection exist in the literature, few provide a comprehensive approach that incorporates sustainability criteria. This study proposes a model for selecting innovation projects by explicitly considering sustainability aspects, supported by multi-criteria decision support methods. The methodological approach followed the Design Cycle method, grounded in Design Science Research. The main result is a novel, customizable model for evaluating, ranking, and managing innovation projects within a sustainability-oriented context. The model was validated through application in two high-performance organizations recognized for their innovation and sustainability practices. Additionally, this research offered reflections on how sustainability-driven innovation can be implemented in practice. Overall, the findings demonstrated that the proposed model is adaptable to different organizational realities, sectors, and sizes, enhancing the capacity to assess and understand the role of sustainability in innovation projects more effectively.

The implementation of Digital Twins (DTs) represents a significant advancement for the Oil and Gas (O&G) industry. A DT virtually replicates a physical asset, enabling the monitoring, diagnosis, prediction, and optimization of its outcomes. Since failures are undesirable outcomes, investigations into potential failure modes are often integrated into the development. Traditional methods, such as Failure Modes and Effects Analysis (FMEA) and Failure Mode, Effects, and Criticality Analysis (FMECA), are widely used to identify, assess, and mitigate risks. However, there is still a lack of specific guidelines for studying potential failures in complex systems. This article introduces a framework for Failure Modes, Mechanisms, and Effects Analysis (FMMEA) as a tool for identifying and assessing failures in early DT development. Exploring failure mechanisms is highlighted as essential for effective prediction and management We also propose adjustments to FMMEA for complex, predictable systems, such as using a DPR (Detectable Priority Risk) instead of RPN (Risk Priority Number) for prioritizing risks. A comprehensive case illustrates the framework’s application in developing a DT for an intelligent completion system in a major O&G company. The approach enables mechanism-oriented failure analysis and more detailed prognostic health management, providing greater transparency in the failure identification process.

Innovation projects with sustainable characteristics are increasingly seen as strategic drivers for organizations to expand market share and retain customers. Yet, firms face limited resources while dealing with a large number of potential projects. To address this challenge, an integrated framework for evaluating and ranking innovation projects using sustainability-related factors can support more consistent decision-making. Alt-hough several models for project selection exist in the literature, few provide a com-prehensive approach that incorporates sustainability criteria. This study proposes a model for selecting innovation projects by explicitly considering sustainability aspects, supported by multi-criteria decision support methods. The methodological approach followed the Design Cycle method, grounded in Design Science Research. The main re-sults include the development of a novel and customizable model capable of evaluat-ing, ranking, and supporting the management of innovation projects within a sustaina-bility-oriented context. The model was validated through application in two high-performance organizations recognized for their innovation and sustainability practices. Additionally, the research offered reflections on how sustainability-driven innovation can be implemented in practice. Overall, findings demonstrated that the proposed model is adaptable to different organizational realities, sectors, and sizes, enhancing the capacity to assess and understand the role of sustainability in innovation projects more effectively.

O artigo analisa uma pequena empresa impactada pela redução na demanda por serviços nos últimos anos, em decorrência da retração do seu mercado de atuação. Isto resultou na urgência em prospectar novos mercados e ofertar soluções inovadoras. Este artigo tem por objetivo apresentar o processo de elaboração de iniciativas para o aumento da capacidade de inovação. Aplicou-se o método Soft Design Science Research que considera as abordagens centrais da metodologia Design Science Research. Seu desenvolvimento baseou-se no diagnóstico de avaliação da gestão da inovação proposto pela metodologia do Prêmio Nacional de Inovação Edição 2016/2017 para explicitação e priorização de lacunas, sendo realizada a associação dessas com orientações identificadas na literatura para o refinamento da capacidade de inovação. Como resultado, foram elaboradas dez iniciativas para a evolução de um conjunto de fundamentos que alicerçam esta capacidade.

Sustainability is one of the main challenges of civil construction. Most architectural paints release volatile organic compounds (VOCs) that harm the environment and human health. This paper presents the main discussions and theoretical approaches through bibliometrics on the theme of industrial sustainability in architectural paints. The study presents an analysis of citations, the main topics associated with this specific line of research and a conceptual framework, as well as the identification of the most explored approaches in the literature and the main gaps. The Bibliometrix library from the R package was used to organize the published data used and process the generated analyses. The analysis of 773 international scientific documents from January 1985 to November 2019 allowed an overview of the research field related to industrial sustainability in architectural paints. The main findings are summarized as follows: most documents are focused on the study of new paint compositions, observing sustainability criteria in their development; there was little presence of documents dealing with architectural paintings; most publications focus on the development and testing of new paint formulations, which are obtained from the substitution of toxic substances, which indicates that there is also a need to diversify research approaches in this field; few publications were found addressing the subject, which configures a gap in the literature related to this field of research.

O blowout preventer (bop) é uma barreira fundamental na segurança das operações de perfuração e completação de poços que requer a disponibilidade e a confiabilidade como fatores que devem ser gerenciados com eficiência. Entretanto, estudos demonstram que o equipamento ainda apresenta um elevado índice de falhas e tempo de indisponibilidade, sendo a válvula reguladora de pressão um dos principais componentes responsáveis por este problema. Sendo assim, o objetivo da pesquisa é desenvolver uma modelagem matemática para construção de um simulador da dinâmica da reguladora, a fim de dar suporte à implementação de estudos de manutenção baseada em condição (cbm). Seis principais etapas foram adotadas com o intuito de alcançar o objetivo do trabalho. Análise de mecanismos da física de funcionamento do componente e a identificação de parâmetros operacionais na literatura foram necessárias, bem como a modelagem e simulação computacional desenvolvida no software simulink/matlab. Os resultados alcançados nessa etapa de projeto foram aderentes à literatura, representado pelos perfis de curva de carga de pressão, velocidade e deslocamento do mecanismo de controle de fluxo. As avaliações demonstram potencial uso para auxiliar futuras análises de cenários de falhas e obter informações para implementar cbm em componentes hidráulicos do conjunto bop.

A inovação se tornou algo indispensável para as empresas que pretendem se manter competitivas e sustentáveis. Com a gestão da inovação, é possível traçar um caminho mais estruturado para que as empresas conquistem vantagens competitivas e melhorias em seus resultados. Porém as organizações, principalmente as micro e pequenas, possuem dificuldade de avaliar as suas práticas de inovação, bem como de traçar planos viáveis para alcançarem melhores resultados. Diante dessa situação, o presente artigo tem como objetivo identificar o nível de gestão da inovação de uma empresa de software, a fim de detectar as principais deficiências por fundamentos da capacidade de inovação e resultados de inovação e propor práticas de inovação para sua melhoria. Para isso, foi utilizado o método de estudo de caso em uma empresa de software de pequeno porte localizada no interior do estado do Rio de Janeiro e foi aplicado o instrumento de avaliação do Prêmio Nacional da Inovação da Confederação Nacional de Indústria para identificação do seu nível de maturidade de gestão da inovação. Com o instrumento e o método implementados, foi possível identificar e priorizar as oportunidades de melhoria relacionadas à gestão da inovação, posteriormente, propor ações embasadas em referências bibliográficas reconhecidas nos temas abordados. Além disso, o procedimento metodológico implementado pode ser replicado em outras empresas para identificação de práticas de inovação e melhoria do seu nível de gestão da inovação.