About HEND
Hend is a state-of-the-art petrophysical machine-learning model that extracts hydraulic properties from electrical signals. Built on a novel transport theory and trained on a global dataset, the largest in the industry. It sets a new benchmark in subsurface interpretation.
The formulation above delivers the first analytical bridge between electrical connectedness Gv and permeability. By incorporating pore-area Av and pore-path linearity 𒀼, it resolves the full geometrical architecture governing fluid transport.
Trained on on a global database that spans over 8000 records from more than 2000 locations across the globe.
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