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Xheni Garipi

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Open access Oct 2026

Geologically informed machine learning for neutron porosity reconstruction from legacy well logs: implications for high-temperature reservoir thermal energy storage

High-temperature thermal energy storage in subsurface reservoirs (HT-RTES) can help balance seasonal heat demand and supply by storing excess thermal energy in subsurface reservoirs. Mature hydrocarbon fields are promising storage targets because their reservoir properties are relatively well constrained; however, many...

A. Tolba, Xheni Garipi, Florian Bauer et al. · 0 citations

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