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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Suleiman Ibrahim Mohammad, Asokan Vasudevan, Zaid Ajzan Alsalami, A. K. Dasarathy, Priyadarshi Das, R. Padmapriya, Jagdeep Singh, Gaurav Thakur, Abhayveer Singh, Samim Sherzod
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	SpringerOpen 2025-12-01
Schriftenreihe:	Geothermal Energy
Schlagworte:	Absolute permeability Machine learning Nuclear magnetic resonance Geothermal reservoir
Online-Zugang:	https://doi.org/10.1186/s40517-025-00371-4
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