Geothermal energy can play an important part in energy transition. However, the uncertainty of the underground energy contents is the main barrier. To secure investments in this renewable energy source, this paper proposes a combination of different tools for obtaining a digital twin model for predicting energy use from subsurface resources. Integration of GeoGrid Viewer with a commercial numerical simulation tool is discussed in the paper to generate data sets for training a digital twin model. The data provided by GeoGrid is fed to the numerical tool for simulation to obtain the energy parameters for the training of a digital twin model of a reservoir located in the Campania Region (Southern Italy).

GEOGRID VIEWER FOR SUSTAINABLE EXPLOITATION OF GEOTHERMAL DIGITAL TWINS

Marina Iorio
;
Antonio Mercadante
;
2024

Abstract

Geothermal energy can play an important part in energy transition. However, the uncertainty of the underground energy contents is the main barrier. To secure investments in this renewable energy source, this paper proposes a combination of different tools for obtaining a digital twin model for predicting energy use from subsurface resources. Integration of GeoGrid Viewer with a commercial numerical simulation tool is discussed in the paper to generate data sets for training a digital twin model. The data provided by GeoGrid is fed to the numerical tool for simulation to obtain the energy parameters for the training of a digital twin model of a reservoir located in the Campania Region (Southern Italy).
2024
Istituto di Scienze Marine - ISMAR - Sede Secondaria Napoli
Digital Twin, Data integration, physics-based modeling, AI, Heat Transfer control.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/518176
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