Expedited and dependable geothermal rock characterization and absolute permeability modeling using advanced data-driven techniques

Abstract Efficient and sustainable exploitation of geothermal energy depends critically on accurate characterization of reservoir permeability, which governs subsurface fluid flow and thermal performance. While well testing and core analysis remain essential for establishing ground-truth permeabilit...

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Hlavní autoři:	Suleiman Ibrahim Mohammad, Asokan Vasudevan, Zaid Ajzan Alsalami, A. K. Dasarathy, Priyadarshi Das, R. Padmapriya, Jagdeep Singh, Gaurav Thakur, Abhayveer Singh, Samim Sherzod
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2025-12-01
Edice:	Geothermal Energy
Témata:	Absolute permeability Machine learning Nuclear magnetic resonance Geothermal reservoir
On-line přístup:	https://doi.org/10.1186/s40517-025-00371-4
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