Abstract

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

Highlights

  • In today’s uncertain and volatile demand as well as the evolution of alternative energy sources, oil and gas firms have been forced by great pressure to speed up the pursuit of productivity in this climate, boosting production, reducing costs, and optimizing profits [1]

  • The purpose of this paper is to gain a better understanding of Artificial Intelligence (AI) application dynamics in the oil and gas supply chain

  • Out of the 40 considered studies for review that focused on the specific AI technologies in oil and gas supply chain perspective, 50% contributed to the upstream sector, 18% to the midstream sector, 15% to the downstream sector

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Summary

Introduction

In today’s uncertain and volatile demand as well as the evolution of alternative energy sources, oil and gas firms have been forced by great pressure to speed up the pursuit of productivity in this climate, boosting production, reducing costs, and optimizing profits [1] To help in this pursuit, the application of Artificial Intelligence (AI) in the oil and gas industry is quickly evolving at present, as the idea of AI steadily enters different phases of the industry like smart drilling, smart development, smart refinery, and smart pipeline [2]. The midstream involves transportation and distribution, and like any other field, is an important aspect of the oil and gas industry, but the industry is unique from other sectors because of the highly sensitive quality of shipped and.

Research Approach
A Location Perspective of AI in Oil and Gas Supply Chain
AI in Oil and Gas Upstream
AI in Oil and Gas Midstream
AI in Oil and Gas Downstream
Other Applications of AI along the Whole Oil and Gas Supply Chain
Challenges of Implementing AI in Oil and Gas Supply Chain
Literature Review Analysis for AI Location
Overall Comparative Analysis for AI Location and Technology Type
Descriptive Analysis for AI Location and Technology Type
Findings
Conclusions and Recommendations
Full Text
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