Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5552
Title: 3D Stochastic Modelling of Heterogeneous Porous Media: Applications to Reservoir Rocks
Contributor(s): Wu, Kejian (author); Van Dijke, Marinus I J (author); Couples, Gary D (author); Jiang, Zeyan (author); Ma, Jingsheng (author); Sorbie, Kenneth S (author); Crawford, John W (author); Young, Iain (author); Zhang, Xiaoxian (author)
Publication Date: 2006
DOI: 10.1007/s11242-006-0006-z
Handle Link: https://hdl.handle.net/1959.11/5552
Abstract: The creation of a 3D pore-scale model of a porous medium is often an essential step in quantitatively characterising the medium and predicting its transport properties. Here we describe a new stochastic pore space reconstruction approach that uses thin section images as its main input. The approach involves using a third-order Markov mesh where we introduce a new algorithm that creates the reconstruction in a single scan, thus overcoming the computational issues normally associated with Markov chain methods. The technique is capable of generating realistic pore architecture models (PAMs), and examples are presented for a range of fairly homogenous rock samples as well as for one heterogeneous soil sample. We then apply a Lattice–Boltzmann (LB) scheme to calculate the permeabilities of the PAMs, which in all cases closely match the measured values of the original samples. We also develop a set of software methods – referred to as pore analysis tools (PATs) – to quantitatively analyse the reconstructed pore systems. These tools reveal the pore connectivity and pore size distribution, from which we can simulate the mercury injection process, which in turn reproduces the measured curves very closely. Analysis of the topological descriptors reveals that a connectivity function based on the specific Euler number may serve as a simple predictor of the threshold pressure for geo-materials.
Publication Type: Journal Article
Source of Publication: Transport in Porous Media, v.65, p. 443-467
Publisher: Springer Netherlands
Place of Publication: The Netherlands
ISSN: 0169-3913
1573-1634
Field of Research (FOR): 050399 Soil Sciences not elsewhere classified
050303 Soil Biology
050305 Soil Physics
060208 Terrestrial Ecology
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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