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

Понимание динамики применения ИИ в управлении и развитии цепочек поставок нефти и газа: пространственный аспект
Ahmed M. Deif, Thejas Vivek
2022-03-15

AI application dynamicsAI implementationliterature reviewoil and gas supply chainupstream-to-downstream locations
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 Full Text: PDF
1
A location-based literature review identifies opportunities and challenges associated with specific AI technologies across the oil and gas supply chain.
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Descriptive and comparative analysis of representative studies reveals implementation dynamics that vary across supply-chain locations.
3
The paper analyzes AI application dynamics across upstream, midstream, and downstream oil and gas supply-chain locations.
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The paper provides recommendations for technology managers, policymakers, practitioners, and industry leaders to support successful AI implementation.

AI applications across the upstream-to-downstream oil and gas supply chain

Location-dependent implementation dynamics, opportunities, challenges, and recommendations for AI technologies in oil and gas supply chain management

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2022-03-15
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Ahmed M. Deif
Thejas Vivek
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