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Physics-based data-driven proxy model for geothermal energy storage system

delete2025-07-16
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PRE
AI
X
Xiaoming Tian
Z
Zheng Huang
Y
Yulie Gong
H
Huashan Li
Y
Yanlong Kong
DOI:10.1016/j.est.2025.117619delete
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Abstract

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

Journal of Energy Storage cover
Journal of Energy Storage
IF:
9.8
Papers:
2.2W
Citations:
10.1W

Organization

No organization information available