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Uses and Impact of Artificial Intelligence in the Upstream Oil and Gas Industry: Production Optimisation Approach
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| 1.32 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
This study examines the role of Artificial Intelligence (AI) in optimising production within the
upstream oil and gas industry. Using a sociotechnical lens, it draws insights from in-depth
interviews with nine professionals across engineering, reservoir management, and digital
transformation. Findings show that AI enhances workflow efficiency, predictive maintenance,
and decision-making, but its success also hinges on human factors like trust, digital skills, and
organizational readiness. Despite its potential, the research reveals gaps in workforce
competency and cultural acceptance, challenging assumptions of industry-wide AI readiness.
Integration with digital twins and edge computing offers further gains but requires better
alignment of people, processes, and technology. This study bridges technical and organizational
views on AI adoption and offers practical guidance for achieving responsible, sustainable
production
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Palavras-chave
Artificial Intelligence AI Upstream Oil and Gas Production Optimisation Operational Efficiency Human-AI Collaboration Trust Digital Adoption Sustainability SDG 7 - Affordable and clean energy SDG 12 - Responsible production and consumption SDG 13 - Climate action