Optimizing agile collaboration frameworks for carbon-efficient digital twin deployment in oil and gas: strategies, tools, and challenges in the planning phase

  • Alliy Adewale Bello
  • Mobolaji Fakeyede
  • Ogochukwu Gold Abaneme
  • et al.
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Abstract

Integrating Agile frameworks into the planning phase of digital twin deployment provides a unique opportunity to improve operational efficiency and achieve carbon reduction goals in the oil and gas industry. This article investigates the use of Agile methodologies, such as Scrum and Kanban, to address the complexities of deploying digital twins while embedding sustainability into project workflows. The report reveals several major problems, including stakeholder misalignment, resource restrictions, and restricted collaboration across varied teams. To address these constraints, practical techniques such as training and capacity building, implementing Agile frameworks, and utilizing energy modelling tools such as EnergyPlus and OpenStudio are offered. Agile approaches, such as iterative feedback loops and real-time dashboards, are cited as enablers of continuous improvement and alignment with carbon efficiency goals. Key findings show that Agile frameworks enhance stakeholder collaboration, the incorporation of sustainability data, and adaptive planning to accommodate fast changing plans. The article also discusses the roles of Product Owners, Scrum Masters, and Technical Leads in integrating technical efforts with business objectives for sustainability. This study emphasizes the significance of Agile frameworks in improving the planning processes for digital twin projects, providing practical guidance for decreasing carbon footprints and meeting long-term environmental goals in the oil and gas sector.

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APA

Alliy Adewale Bello, Mobolaji Fakeyede, Ogochukwu Gold Abaneme, Vincentia Eshun, Chukwuka Junior Akibor, & Frederick Owusu. (2025). Optimizing agile collaboration frameworks for carbon-efficient digital twin deployment in oil and gas: strategies, tools, and challenges in the planning phase. Global Journal of Engineering and Technology Advances, 22(2), 034–045. https://doi.org/10.30574/gjeta.2025.22.2.0025

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