Point-to-point connectivity prediction in porous media using percolation theory

Behnam Tavagh-Mohammadi, Mohsen Masihi and Mostafa Ganjeh-Ghazvini

Physica A: Statistical Mechanics and its Applications, 2016, vol. 460, issue C, 304-313

Abstract: The connectivity between two points in porous media is important for evaluating hydrocarbon recovery in underground reservoirs or toxic migration in waste disposal. For example, the connectivity between a producer and an injector in a hydrocarbon reservoir impact the fluid dispersion throughout the system. The conventional approach, flow simulation, is computationally very expensive and time consuming. Alternative method employs percolation theory. Classical percolation approach investigates the connectivity between two lines (representing the wells) in 2D cross sectional models whereas we look for the connectivity between two points (representing the wells) in 2D aerial models. In this study, site percolation is used to determine the fraction of permeable regions connected between two cells at various occupancy probabilities and system sizes. The master curves of mean connectivity and its uncertainty are then generated by finite size scaling. The results help to predict well-to-well connectivity without need to any further simulation.

Keywords: Point-to-point connectivity; Percolation theory; Finite size scaling; Porous media (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:460:y:2016:i:c:p:304-313

DOI: 10.1016/j.physa.2016.05.011

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