PERMEABILITY Modelling- KAIPERM™

Turning Subsurface Data into Reliable Flow Predictions

Permeability is a key driver of reservoir performance and directly controls fluid flow, production behavior, and recovery efficiency. Reliable permeability models are essential for accurate subsurface modelling and confident field development decisions.

Traditional approaches based on facies analysis, core measurements, and FZI methods provide valuable foundations, but often cannot fully capture the complexity of subsurface heterogeneity.

KEPLIS leverages advanced Machine Learning techniques to reveal hidden relationships within subsurface data and to build robust, predictive permeability models. By integrating geological, petrophysical, and engineering data, KEPLIS workflows enhance prediction accuracy and reduce uncertainty.

Through rigorous calibration and validation processes, KEPLIS delivers permeability models that are geologically consistent, engineering-relevant, and fully aligned with reservoir behavior supporting better decisions and maximizing asset value.