Machine Learning and Innovative Approach in Reservoir Management: Case Studies
Thursday, 9 May
610
Technical / Poster Session
In this technical session, the authors will present innovative approaches leverage vast amounts of data for reservoir monitoring and optimize production processes, leading to substantial improvements in decision-making and operational outcomes and also present some case studies powered by machine learning to optimize resource recovery.
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1400-1418 35477Blowout Contingency Decision-Making Leveraging Pressure Modeling: Cap-and-Restrain or Cap-and-Divert?
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1420-1438 35271Successful Advanced Foam Slug Injection to Inhibit Bottom Hot-Water Condensate Zone Channeling in First Horizontal Well Steam Flooding Pilot, Bohai Bay, China
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1440-1458 35037Exploring an Alternative Approach for Predicting Relative Permeability Curves from Production Data: A Comparative Analysis Employing Machine and Deep Learning Techniques
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1500-1518 35413New Opportunities in Well and Reservoir Surveillance Using Multiple Downhole Pressure Gauges in Deepwater Injector Wells
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1520-1538 35295Unlocking Offshore Brownfield's Oil Reserves: A Pioneering Approach with Acid Stimulation and Diversion Methods - Insights from the Gulf of Suez
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1540-1558 35316Innovative and Technological Approaches to Mitigate Produced Water Reinjection Losses in Mature Fields: Challenges and Solutions
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1600-1618 35103Taming a Giant: Reservoir Management Strategies to Deal With the Initial Uncertainties in Buzios Field