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

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.

Authors

Publication Details

Journal
Global Journal of Engineering and Technology Advances
Published
2025-02-13
DOI
https://doi.org/10.30574/gjeta.2025.22.2.0025
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
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article

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, Ogochukwu Gold Abaneme, Mobolaji Fakeyede, Frederick Owusu et al.
Global Journal of Engineering and Technology Advances
Reservoir Engineering and Simulation Methods
article

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, Ogochukwu Gold Abaneme, Mobolaji Fakeyede, Frederick Owusu, Vincentia Eshun, Chukwuka Junior Akibor
article en

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.

Global Journal of Engineering and Technology AdvancesVol. 22(2)
Openalex Percentile: Top 97%
Reservoir Engineering and Simulation Methods
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