Understanding AI Application Dynamics in Oil and Gas Supply Chain Management and Development: A Location Perspective

Ahmed Deif, Thejas Vivek


The purpose of this paper is to gain a better understanding of Artificial Intelligence (AI) application dynamics in the oil and gas supply chain. A location perspective is used to explore the opportunities and challenges of specific AI technologies from upstream to downstream of the oil and gas supply chain. A literature review approach is adopted to capture representative research along these locations. This was followed by descriptive and comparative analysis for the reviewed literature. Results from the conducted analysis revealed important insights about AI implementation dynamics in the oil and gas industry. Furthermore, various recommendations for technology managers, policymakers, practitioners, and industry leaders in the oil and gas industry to ensure successful AI implementation were outlined.


Doi: 10.28991/HIJ-SP2022-03-01

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Artificial Intelligence; Development; Supply Chain; Oil and Gas; Petroleum Industry, Energy.


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DOI: 10.28991/HIJ-SP2022-03-01


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