.png){kind=icon}
Return
Physics-based data-driven proxy model for geothermal energy storage system
.png){kind=icon}
PRE
AI
DOI：10.1016/j.est.2025.117619.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Developed a physics-based data-driven proxy model integrating reservoir simulation for geothermal energy storage. • Achieved efficient model inference using adjoint-based optimization, reducing computational costs. • Validated the proxy model with field data, accurately capturing thermal and flow dynamics. • Quantified geological uncertainties through an ensemble modeling approach for robust predictions. • Enabled practical geothermal modeling in scenarios with sparse geological information.
Journal
IF:
9.8
Papers:
2.3W
Citations:
10.1W
Organization
No organization information available
Cited Papers
Feature-Oriented Joint Time-Lapse Seismic and Electromagnetic History Matching Using Ensemble Methods.png)
SPE JOURNAL
OAAI
SPE JOURNALIF3
OAAIShareSaveShareSaveShareSaveShareSaveAn efficient discrete-fracture model applicable for general-purpose reservoir simulatorsSPE JOURNAL
SPE JOURNALIF3
PREAI
ShareSave
View more