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Fractured Geothermal Reservoir Using CO2 as Geofluid: Numerical Analysis and Machine Learning Modeling

Manojkumar Gudala1, Zeeshan Tariq1, Suresh Kumar Govindarajan2

  • 1Physical Science and Engineering (PSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.

ACS Omega
|February 26, 2024
PubMed
Summary

This study examines how natural and hydraulic fractures affect geothermal energy extraction using supercritical CO2. A fully connected neural network (FCN) model accurately forecasts temperature changes in fractured geothermal reservoirs.

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