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Research & review articles are invited for publication in August 2026 (Vol. 5, Issue 3) || Submission: up to 28th August || Editorial decision: within 48 hrs.

Conceptualizing digital transformation in the energy and oil and gas sector

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  • Conceptualizing digital transformation in the energy and oil and gas sector

Enobong Hanson 1, *, Chukwuebuka Nwakile 2, Yetunde Adenike Adebayo 2 and Andrew Emuobosa Esiri 3

1 Independent Researcher, Nigeria.
2 Independent Researcher, UK.
3 Independent Researcher, Houston Texas, U

Review Article
Global Journal of Advanced Research and Reviews, 2023, 01(02), 015–030.
Article DOI: 10.58175/gjarr.2023.1.2.0059
DOI url: https://doi.org/10.58175/gjarr.2023.1.2.0059

Received on 03 July 2023; revised on 16 August 2023; accepted on 20 August 2023

Digital transformation in the energy and oil & gas sector is increasingly pivotal for optimizing operations, enhancing efficiency, and ensuring alignment with industry standards. This abstract explores how the integration of digital technologies—such as real-time data analytics, cloud-based systems, and automation—can revolutionize energy and oil & gas operations. By leveraging real-time data analytics, companies can monitor and adjust production processes with precision, leading to reduced operational downtime and optimized resource management. Cloud-based systems provide a scalable platform for storing and processing large volumes of data, facilitating better decision-making through enhanced collaboration and access to insights across multiple sites. Automation technologies streamline repetitive tasks, improving operational safety and minimizing human error, which contributes to cost savings and increased productivity. This study presents a conceptual framework for deploying digital tools to achieve operational excellence in the sector. The framework emphasizes aligning digital initiatives with core operational goals, ensuring compliance with industry standards, and fostering a data-driven culture to support continuous improvement. Additionally, it highlights the role of predictive maintenance in reducing equipment failures by analyzing historical data, thereby preventing costly unplanned downtimes. The paper also addresses the importance of cybersecurity measures in safeguarding digital infrastructure, given the increased exposure to cyber threats in a more interconnected operational environment. Ultimately, the integration of these digital technologies not only enhances efficiency but also supports sustainability efforts by optimizing energy use, reducing emissions, and advancing the shift towards greener energy solutions. By examining case studies and best practices, this abstract underscores the transformative potential of digitalization in driving long-term success and competitive advantage for energy and oil & gas companies.

Digital Transformation; Real-Time Data Analytics; Cloud-Based Systems; Automation; Predictive Maintenance; Operational Efficiency; Oil & Gas Sector; Energy Industry; Cybersecurity; Sustainability

https://gsjournals.com/gjarr/sites/default/files/fulltext_pdf/GJARR-2023-0059.p…

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Enobong Hanson, Chukwuebuka Nwakile , Yetunde Adenike Adebayo and Andrew Emuobosa Esiri. Conceptualizing digital transformation in the energy and oil and gas sector. Global Journal of Advanced Research and Reviews, 2023, 01(02), 015–030. Article DOI: https://doi.org/10.58175/gjarr.2023.1.2.0059.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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