Authors :
Shamsuddeen Adamu Bala
Volume/Issue :
Volume 10 - 2025, Issue 5 - May
Google Scholar :
https://tinyurl.com/whvr9u8u
DOI :
https://doi.org/10.38124/ijisrt/25may1423
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The oil and gas sector, a mainstay of the world's energy and economic ecosystem, is undergoing an AI-driven
digital transformation. AI solutions are delivering unprecedented efficiency and intelligence from exploration to refining,
logistics to trading. The paper discusses how AI is transforming the oil sector, the real uses in all the stages of the oil life
cycle, and pitfalls to the adoption of AI solutions in a sector that is traditionally conservative and intricate. The paper
concludes with consideration of how AI can aid improved sustainability, safety, and competitiveness in the sector if there are
strategic investment and ethical guidelines
Keywords :
Artificial Intelligence, Petroleum Industry, Digital Transformation, Predictive Maintenance, Sustainability, Automation, Energy Innovation.
References :
- Adil, M., & Shafait, F. (2020). Application of Artificial Intelligence in Oil and Gas Industry: A Review. Journal of Petroleum Exploration and Production Technology, 10(2), 889–902. https://doi.org/10.1007/s13202-020-00882-0
- Khan, F., Rathnayaka, S., & Ahmed, S. (2015). Methods and Tools for Process Safety and Risk Management in the Oil and Gas Industry. Process Safety and Environmental Protection, 94, 509–518. https://doi.org/10.1016/j.psep.2015.01.005
- IBM. (2022). AI and Machine Learning in Oil and Gas. Retrieved from https://www.ibm.com/blogs/industries/ai-oil-gas/
- Deloitte. (2021). Digital Transformation in the Oil and Gas Sector. Retrieved from https://www2.deloitte.com/global/en/pages/energy-and-resources/articles/digital-transformation-in-oil-and-gas.html
- BP. (2023). Energy Outlook 2023 Edition. Retrieved from https://www.bp.com/en/global/corporate/energy-economics/energy-outlook.html
- Accenture. (2021). AI and the Future of Oil and Gas. Retrieved from https://www.accenture.com/us-en/insights/energy/ai-oil-gas
- McKinsey & Company. (2020). How Artificial Intelligence is Changing Oil and Gas. Retrieved from https://www.mckinsey.com/industries/oil-and-gas/our-insights/how-ai-is-changing-oil-and-gas
- PwC. (2021). The Oil and Gas Industry’s Digital Future. Retrieved from https://www.pwc.com/gx/en/industries/energy-utilities-resources/oil-gas/digital-transformation.html
- World Economic Forum. (2020). Harnessing AI in the Energy Sector. Retrieved from https://www.weforum.org/reports/harnessing-artificial-intelligence-in-the-energy-sector/
- Zadeh, L. A. (1996). Fuzzy Logic = Computing with Words. IEEE Transactions on Fuzzy Systems, 4(2), 103–111. https://doi.org/10.1109/91.493904
The oil and gas sector, a mainstay of the world's energy and economic ecosystem, is undergoing an AI-driven
digital transformation. AI solutions are delivering unprecedented efficiency and intelligence from exploration to refining,
logistics to trading. The paper discusses how AI is transforming the oil sector, the real uses in all the stages of the oil life
cycle, and pitfalls to the adoption of AI solutions in a sector that is traditionally conservative and intricate. The paper
concludes with consideration of how AI can aid improved sustainability, safety, and competitiveness in the sector if there are
strategic investment and ethical guidelines
Keywords :
Artificial Intelligence, Petroleum Industry, Digital Transformation, Predictive Maintenance, Sustainability, Automation, Energy Innovation.