Improving watershed-based pore-network extraction method using maximum inscribed ball pore-body positioning

• Published in: Advances in water resources 2020-06, Vol.140, p.103576, Article 103576
• Main Authors: Gerke, Kirill M., Sizonenko, Timofey O., Karsanina, Marina V., Lavrukhin, Efim V., Abashkin, Vladimir V., Korost, Dmitry V.
• Format: Article
• Language: English
• Subjects: Maximum inscribed ball; Pore-network extraction; Pore-scale modeling; Pore-to-throat partitioning; Stokes flow solver; Watershed; X-ray micro-tomography (XMT)
• ISSN: 0309-1708; 1872-9657
• DOI: 10.1016/j.advwatres.2020.103576

•A novel hybrid pore-network extraction method is developed.•A new seed-placement approach makes pore detection more sensitive to local geometry.•The methodology is rigorously verified against existing methods.•Different pore-throat-pore partitioning models are compared for the first time.•Computational efficiency of three extraction methods was compared. Pore-scale modeling is a rapidly evolving area of research because modeling multiphase flow directly on 3D pore geometries is of utmost importance in wide variety of research areas, including oil and gas development, hydrology and material sciences. Although there are numerous methods to model flow, only so-called pore-network models are computationally effective enough to perform simulations in large modeling domains, and they are orders of magnitude faster than direct modeling approaches. However, pore-network models require a simplification of the 3D pore geometry to perform simulations, which are usually referred to as pore-network extraction. Such extraction poses a separate problem because it must provide an accurate description of the pore space geometry and topology. Different methods have been proposed in the literature. Recently, watershed-based approaches have been popular due to their effectiveness in working with porous media images of any porosity. A watershed algorithm requires seed placement to segment the space into distinct pores. We propose a hybrid algorithm combining the power of watersheds in finding intersections between pores with the advantages of the maximum inscribed ball technique, which is very effective in finding pore centers. We rigorously verify and test our novel methodology on artificial and X-ray microtomography images of wide variety of porous materials: sphere packings, carbonate, soil, ceramic and sandstone samples. Comparison against a purely watershed-based method and results based solely on the maximum inscribed balls–based method (in terms of pore/throat total number, pore size distributions and connection statistics, and multiphase flow properties including capillary curves and relative permeabilities) revealed the accuracy of our novel technique, consistency with existing classical techniques and great potential in analysing 3D pore images of any complexity. On the other hand, comparison of extracted pore-network topology (as based on Euler number) revealed significant differences between different methodologies, which is rather surprising considering the simil