Sustainable oil with a twist: AI-powered Chemical EOR

Reviewer Outline: The following paper explores the integration of artificial intelligence (AI) and chemical enhanced oil recovery (CEOR) for energy harvesting in the O&G industry. It addresses the challenges and potential benefits of incorporating AI techniques for optimizing CEOR operations. The paper emphasizes the importance of the energy transition and the goal of achieving net-zero emissions, highlighting the role of AI in improving the sustainability and efficiency of the enhanced oil recovery processes. The authors outline the challenges and gaps in the current use of AI in chemical EOR and proposed recommendations for future research.

Authors: Bigdeli, A., & Delshad, M.

Published: Journal of Data Science and Intelligent Systems. https://doi.org/10.47852/bonviewJDSIS42022111

Reading Link: "The Evolving Landscape of Oil and Gas Chemicals: Convergence of Artificial Intelligence, and Chemical Enhanced Oil Recovery in the Energy Transition towards Sustainable Energy Systems and Net-Zero Emissions"

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