Downscaling‐Based Segmentation for Unresolved Images of Highly Heterogeneous Granular Porous Samples

[1]  Ilenia Battiato,et al.  An Analysis Platform for Multiscale Hydrogeologic Modeling with Emphasis on Hybrid Multiscale Methods , 2015, Ground water.

[2]  Alexandre M. Tartakovsky,et al.  Dispersion controlled by permeable surfaces: surface properties and scaling , 2016, Journal of Fluid Mechanics.

[3]  Timothy D. Scheibe,et al.  Pore‐scale and multiscale numerical simulation of flow and transport in a laboratory‐scale column , 2015 .

[4]  Daniel M. Tartakovsky,et al.  Hybrid models of reactive transport in porous and fractured media , 2011 .

[5]  Veerle Cnudde,et al.  Multi-scale, micro-computed tomography-based pore network models to simulate drainage in heterogeneous rocks , 2015 .

[6]  Ilenia Battiato,et al.  Sequential Homogenization of Reactive Transport in Polydisperse Porous Media , 2016, Multiscale Model. Simul..

[7]  Mark A. Knackstedt,et al.  Pore scale characterization of carbonates at multiple scales: integration of micro-CT, BSEM and FIBSEM , 2010 .

[8]  W. T. Elam,et al.  Deconvolving instrumental and intrinsic broadening in core-shell x-ray spectroscopies , 2007 .

[9]  John Bargar,et al.  Persistence of uranium groundwater plumes: contrasting mechanisms at two DOE sites in the groundwater-river interaction zone. , 2013, Journal of contaminant hydrology.

[10]  Dirk Mallants,et al.  Universal Stochastic Multiscale Image Fusion: An Example Application for Shale Rock , 2015, Scientific Reports.

[11]  Anders Kaestner,et al.  Imaging and image processing in porous media research , 2008 .

[12]  A. Fiori.  Handbook of groundwater engineering , 2017 .

[13]  M. Kasper,et al.  Adaptive Optics for Astronomy , 2012, 1201.5741.

[14]  Hamdi A. Tchelepi,et al.  Minimum requirements for predictive pore-network modeling of solute transport in micromodels , 2017 .

[15]  Kyungjoo Kim,et al.  Intercomparison of 3D pore-scale flow and solute transport simulation methods , 2016 .

[16]  I. Battiato.  Effective medium theory for drag-reducing micro-patterned surfaces in turbulent flows , 2013, The European physical journal. E, Soft matter.

[17]  Simona Onori,et al.  On Veracity of Macroscopic Lithium-Ion Battery Models , 2015 .

[18]  Hanan Samet,et al.  Efficient Component Labeling of Images of Arbitrary Dimension Represented by Linear Bintrees , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  A. Tartakovsky,et al.  Modeling variability in porescale multiphase flow experiments , 2017 .

[20]  H. Tchelepi,et al.  The Impact of Sub-Resolution Porosity of X-ray Microtomography Images on the Permeability , 2016, Transport in Porous Media.

[21]  Matthew T. Balhoff,et al.  Hybrid Multiscale Modeling through Direct Substitution of Pore-Scale Models into Near-Well Reservoir Simulators , 2012 .

[22]  A. M. Raid,et al.  Image Restoration Based on Morphological Operations , 2014 .

[23]  Albert J. Valocchi,et al.  Lattice Boltzmann-Based Approaches for Pore-Scale Reactive Transport , 2015 .

[24]  R. Aris.  On the dispersion of a solute in a fluid flowing through a tube , 1956, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[25]  Paul W. Fieguth,et al.  Statistical fusion and sampling of scientific images , 2008, 2008 15th IEEE International Conference on Image Processing.

[26]  W. B. Lindquist,et al.  Medial axis analysis of void structure in three-dimensional tomographic images of porous media , 1996 .

[27]  R. D. Stoffey.  Statistics of Medical Imaging , 2012 .

[28]  Ilenia Battiato,et al.  Physics-based hybrid method for multiscale transport in porous media , 2017, J. Comput. Phys..

[29]  F. Boas,et al.  CT artifacts: Causes and reduction techniques , 2012 .

[30]  Alexis Maineult,et al.  Permeability and pore connectivity: A new model based on network simulations , 2010 .

[31]  D M Tartakovsky,et al.  Applicability regimes for macroscopic models of reactive transport in porous media. , 2011, Journal of contaminant hydrology.

[32]  Veerle Cnudde,et al.  Imaging and image-based fluid transport modeling at the pore scale in geological materials : a practical introduction to the current state-of-the-art , 2016 .

[33]  Felix W Wehrli,et al.  Subvoxel processing: A method for reducing partial volume blurring with application to in vivo MR images of trabecular bone , 2002, Magnetic resonance in medicine.

[34]  M. Tuller,et al.  Segmentation of X‐ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures , 2009 .

[35]  Tapan Mukerji,et al.  Digital rock physics benchmarks - Part I: Imaging and segmentation , 2013, Comput. Geosci..

[36]  Gan-bin Liu,et al.  Reflection and Refraction of P Wave at the Interface Between Thermoelastic and Porous Thermoelastic Medium , 2016, Transport in Porous Media.

[37]  D. Wildenschild,et al.  X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems , 2013 .

[38]  Ilenia Battiato,et al.  Homogenizability conditions for multicomponent reactive transport , 2013 .

[39]  Daniel M. Tartakovsky,et al.  On breakdown of macroscopic models of mixing-controlled heterogeneous reactions in porous media , 2009 .

[40]  Tapan Mukerji,et al.  Digital rock physics benchmarks - part II: Computing effective properties , 2013, Comput. Geosci..

[41]  Paul Fieguth,et al.  Statistical fusion of two-scale images of porous media , 2009 .