Reports suggest that crude oil and gas product consumption and demand will continue to increase. This underscores the importance of innovation in the hydrocarbon sector to optimize exploration and production activities and manage costs. In a competitive and risky environment, "Machine Learning" tools are revolutionizing the oil industry by efficiently processing vast amounts of data without relying on predefined rules. These data-driven models will help address technical and economic challenges quickly. This paper explores projects in the hydrocarbon E&P industry that utilize "Machine Learning" tools, showcasing their benefits. The Sonatrach can get inspired from these experiences for potential application in future projects and investments. This presentation was done during the North Africa Petroleum Exhibition and Conference (NAPEC) held at Oran (Algeria) on 13-15 November, 2023.
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