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Transport in Porous Media

, Volume 102, Issue 2, pp 301–312 | Cite as

A Fast Algorithm for Invasion Percolation

  • Yder Masson
  • Steven R. PrideEmail author
Article

Abstract

We present a computationally fast Invasion Percolation (IP) algorithm. IP is a numerical approach for generating realistic fluid distributions for quasi-static (i.e., slow) immiscible fluid invasion in porous media. The algorithm proposed here uses a binary-tree data structure to identify the site (pore) connected to the invasion cluster that is the next to be invaded. Gravity is included. Trapping is not explicitly treated in the numerical examples but can be added, for example, using a Hoshen–Kopelman algorithm. Computation time to percolation for a 3D system having \(N\) total sites and \(M\) invaded sites at percolation goes as \(O(M \log M)\) for the proposed binary-tree algorithm and as \(O(M N)\) for a standard implementation of IP that searches through all of the uninvaded sites at each step. The relation between \(M\) and \(N\) is \(M = N^{D/E}\), where \(D\) is the fractal dimension of an infinite cluster and \(E\) is Euclidean space dimension. In numerical practice, on finite-sized cubic lattices with invasion structures influenced by the injection boundary and boundary conditions lateral to the flow direction, we observe the scaling \(M = N^{0.852}\) in 3D (valid through the second decimal place) instead of \(M= N^{0.843}\) based on the infinite cluster fractal dimension \(D=2.53\).

Keywords

Two-phase flow Invasion percolation Numerical simulation 

Notes

Acknowledgments

This material is based upon work supported as part of the Center for Nanoscale Control of Geologic CO2, an Energy Frontier Research Center and as part of the LBNL Geophysics Cluster, both funded by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Award Number DE-ACO2-05CH11231. Y. Masson has recently been supported through the European Community’s 7th Framework Program (FP-7-IDEAS-ERC), ERC Advanced Grant (WAVETOMO).

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Copyright information

© Springer Science+Business Media Dordrecht (outside the USA) 2014

Authors and Affiliations

  1. 1.Institut de Physique du Globe de ParisParisFrance
  2. 2.Lawrence Berkeley National LaboratoryBerkeleyUSA

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