# EPCI: A New Tool for Predicting Absolute Permeability from CT images

arXiv: https://arxiv.org/abs/1905.10553 · HTML: https://mlsanity.com/paper/1905.10553/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 May 2019.

## Built on by (most cited first, 1 of 1)

- [Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS](https://mlsanity.com/paper/2109.01818/) (2021)

## Abstract (arXiv)

A new and fast Matlab algorithm for predicting absolute permeability is presented. The developed tool relies on measuring the connectivity of pores in a given three-dimensional (3D) micro-CT rock image. An index of pore connectivity is introduced. After a calibration step, the developed index is used to estimate permeability in a variety of rocks with challenging pore structures (e.g. complex carbonate formations). The developed algorithm was tested on sandstone and carbonate rock samples. It offers large computational and memory savings when compared with algorithms based on the Lattice Boltzmann Method (LBM). Permeability estimates were, in general, in good agreement with laboratory measurements and numerical simulation results. Source code for computing the developed index along with an associated GUI panel are available online at https://github.com/cupbkust/EPCI.git