Permeability Prediction and Network Extraction from ...

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XVI International Conference on Computational Methods in Water Resources (CMWR-XVI) Ingeniørhuset

Permeability Prediction and Network Extraction from Pore Space Images
Author:Anwar S. Z. Al-Kharusi <> (imperial college london)
martin blunt <> (imperial college london)
Presenter:Anwar S. Z. Al-Kharusi <> (imperial college london)
Date: 2006-06-18     Track: Special Sessions     Session: Pore-Scale Modelling: New Developments And Applications

A methodology for extracting networks using pore space images is presented. It computes the location and sizes of pores and throats to create a topologically equivalent representation of the void space of 3D rock images, using the concept of maximal balls (Silin et al. [2003]). The model has been successfully tested on both sandstone and carbonate samples. The network extracted from the Berea sandstone sample yielded a coordination number distribution that agrees well with a distribution measured on a model that reproduced the sedimentary processes by which the sandstone was formed (Øren and Bakke [2003]). The model was further tested on a Fontainebleau sandstone sample and a carbonate sample from subsurface Oman. The computed absolute permeability, using the extracted networks, agrees well with the measured value for both samples. At present, prediction of capillary pressure and relative permeability using these networks is being investigated.