33 Reservoir Monitoring for CO2 Storage and Utilization
Tuesday, 4 October
361 A-C
Technical Session
This section presents papers that use machine learning and traditional surveillance methods to explore the CO2 plume migration for CO2 storage and surveillance for CO2 enhanced oil recovery.
Session Chairperson(s)
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1400-1425 210262Technology Screening & Selection For Site Specific, Adaptive And Cost Effective MMV Planning & Design
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1425-1450 210309An Efficient Deep Learning-based Workflow For CO2 Plume Imaging Using Distributed Pressure And Temperature Measurements
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1450-1515 209974Surface-to-borehole Electromagnetics Using An Array System: A Case Study For Co2 Monitoring And The Energy Transition
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1545-1610 209959Deep Learning Model For CO2 Leakage Detection Using Pressure Measurements
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1610-1635 210345A Probability Evaluation Of Seismicity Risks Associated With Co2 Injection Into Arbuckle Formation
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1635-1700 210200Life-cycle Production Optimization Of The Co2-water-alternating-gas Injection Process Using Least-squares Support-vector Regression (LS-SVR) Proxy