A new way to parameterize hydraulic conductances of pore elements: A step towards creating pore-networks without pore shape simplifications

Miao, Xiuxiu; Gerke, Kirill M.; Sizonenko, Timofey O.

doi:10.1016/j.advwatres.2017.04.021

Cited by 81 publications

(31 citation statements)

References 53 publications

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“…The present work also outlined how to convert this segmented image into a pore network by extracting the pertinent information such as connectivity, pore sizes, and throat sizes. This process of calculating network properties from the watershed image was by no means the final word on the matter [47,48,63], and many improvements could be made such as finding surface area [64] and perimeter more rigorously. The networks extracted using the SNOW algorithm were compared to several known materials (see Table II).…”

Section: Discussionmentioning

confidence: 99%

“…GETNET.py in the Supplemental Material [37] is PYTHON code that performs these steps and outputs the data in a format suitable for importing into OPENPNM [46]. It should be stressed that the following interpretation of pore and throat size information represents only the most general approach, and much more sophisticated analyses could be brought to bear [47,48].…”

Section: B Obtaining Pore Network Informationmentioning

confidence: 99%

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Versatile and efficient pore network extraction method using marker-based watershed segmentation

2017

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Obtaining structural information from tomographic images of porous materials is a critical component of porous media research. Extracting pore networks is particularly valuable since it enables pore network modeling simulations which can be useful for a host of tasks from predicting transport properties to simulating performance of entire devices. This work reports an efficient algorithm for extracting networks using only standard image analysis techniques. The algorithm was applied to several standard porous materials ranging from sandstone to fibrous mats, and in all cases agreed very well with established or known values for pore and throat sizes, capillary pressure curves, and permeability. In the case of sandstone, the present algorithm was compared to the network obtained using the current state-of-the-art algorithm, and very good agreement was achieved. Most importantly, the network extracted from an image of fibrous media correctly predicted the anisotropic permeability tensor, demonstrating the critical ability to detect key structural features. The highly efficient algorithm allows extraction on fairly large images of 500 3 voxels in just over 200 s. The ability for one algorithm to match materials as varied as sandstone with 20% porosity and fibrous media with 75% porosity is a significant advancement. The source code for this algorithm is provided.

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Section: Discussionmentioning

confidence: 99%

Section: B Obtaining Pore Network Informationmentioning

confidence: 99%

Versatile and efficient pore network extraction method using marker-based watershed segmentation

2017

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“…One approach to use pore structure information for permeability estimation is based on the Kozeny-Carman relationships (Xu and Yu, 2008) or the effective medium approximations (Lock et al, 2002). Such approaches work well only for simple geometries such as spheroid arrays but fail if applied to real rock and soil 3D pore images (Narsilio et Dong Miao et al, 2017). The FDM approach was used extensively in the 1980-90s to solve flow in 3D geometries (Adler et al, 1990;Martys et al, 1994).…”

Section: Accepted Manuscript M a mentioning

confidence: 99%

Finite-difference method Stokes solver (FDMSS) for 3D pore geometries: Software development, validation and case studies

Gerke

Vasilyev

Khirevich

et al. 2018

Computers & Geosciences

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Permeability is one of the fundamental properties of porous media and is required for largescale Darcian fluid flow and mass transport models. Whilst permeability can be measured directly at a range of scales, there are increasing opportunities to evaluate permeability from pore-scale fluid flow simulations. We introduce the free software Finite-Difference Method Stokes Solver (FDMSS) that solves Stokes equation using a finite-difference method (FDM) directly on voxelized 3D pore geometries (i.e. without meshing). Based on explicit convergence studies, validation on sphere packings with analytically known permeabilities, and comparison against lattice-Boltzmann and

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“…Genomic engineering has been implemented to obtain targeted bacteria [21,22]. Additionally, the intervention of precise scanning and observatory technologies-such as computed tomography (CT), magnetic resonance imaging (MRI), particle image velocimetry (PIV), and others [23][24][25][26]-have improved on research. Some characterized models have been improved, like the lattice Boltzmann model (LBM) and so on [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Copper Bioleaching in China: Review and Prospect

et al. 2018

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The commercial application of copper bioleaching, an environmentally-friendly approach for low-grade and secondary mineral resources recycling, has increased worldwide since the 2000s. As the world's second-largest economic entity and the largest developing country, China has the largest demand for metal resources, significantly advancing the theory and industrial technology of copper bioleaching. This paper reviews the exploration and application of copper bioleaching in China. Two typical bioleaching applications and technological processes, bioheap leaching at the Zijinshan Copper Mine and bioheap leaching at the Dexing Copper Mine, are introduced. The considerable research completed by researchers is summarized, especially focusing on the isolation and identification of leaching bacteria, the bioleaching mechanism and interface reactions, multistage percolation behavior, bioleaching system reconstruction, the multiphysics coupled model, and enhanced copper bioleaching from waste printed circuit boards (WPCBs). Based on this investigation in China, key trends and prospects in copper bioleaching-such as efficiency improvement, environmental protection, and improved technology applications-are proposed.

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A new way to parameterize hydraulic conductances of pore elements: A step towards creating pore-networks without pore shape simplifications

Cited by 81 publications

References 53 publications

Versatile and efficient pore network extraction method using marker-based watershed segmentation

Versatile and efficient pore network extraction method using marker-based watershed segmentation

Finite-difference method Stokes solver (FDMSS) for 3D pore geometries: Software development, validation and case studies

Copper Bioleaching in China: Review and Prospect

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