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Showing 1 to 6 of 6 for “"pore-network models"”.

  1. Predicting Flow in Firebrand Pile using Pore Network Model

    … more accurate in the porosity range of interest. Pore network models were developed for the simulation of flow profiles utilizing the permeability data collected. The non-uniform network, which better represents a randomly stack firebrand pile, resulted in a more complex multidimensional flow …

    vt Repository record for Predicting Flow in Firebrand Pile using Pore Network Model (opens in a new tab)

  2. Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis

    … Super Resolution Convolutional Neural Networks (SRCNNs) and Enhanced Deep Generative Adversarial Networks (EDSRGANs) are shown in 2D and 3D to compensate for resolution-FOV limitations. SRCNNs boost resolution and recover edge sharpness, while EDSRGANs also recover texture. The noise …

    unsw Repository record for Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis (opens in a new tab)

  3. Modeling single-phase flow and solute transport across scales

    … accurately propagate information across scales. Pore-scale modeling (coupled with experiments) has assumed an important role in improving our fundamental understanding at the small scale, and is frequently used to inform/guide modeling efforts at larger scales. Among the various methods, there …

    texas Repository record for Modeling single-phase flow and solute transport across scales (opens in a new tab)

  4. Nonequilibrium Phenomena in Multiphase Flow, Transport, and Phase Change in Porous Media: Pore-Level Physics, Network Modeling, and Upscaling

    … modeling approaches across scales---from pore-scale (e.g., nanometer to millimeter), to representative-elementary-volume (REV)-scale (e.g., centimeter to meter), to field-scale (e.g., meter to kilometer). To date, most field-scale models are built upon the thermodynamic equilibrium …

    arizona-thes Repository record for Nonequilibrium Phenomena in Multiphase Flow, Transport, and Phase Change in Porous Media: Pore-Level Physics, Network Modeling, and Upscaling (opens in a new tab)

  5. Multiphysics Transport in Heterogeneous Media: from Pore-Scale Modeling to Deep Learning

    … shale formations are investigated at the single-pore scale using molecular dynamics simulations. In the single-component gas recovery, a super-diffusive scaling law was found for the gas production due to the strong gas adsorption-desorption effects. For binary gas (methane/ethane) mixtures, …

    vt Repository record for Multiphysics Transport in Heterogeneous Media: from Pore-Scale Modeling to Deep Learning (opens in a new tab)

  6. ΒΕΛΤΙΩΜΕΝΗ ΜΕΘΟΔΟΣ ΑΝΑΛΥΣΗΣ ΤΗΣ ΠΟΡΩΔΟΥΣ ΔΟΜΗΣ ΔΙΑΠΕΡΑΤΩΝ ΣΤΕΡΕΩΝ: ΕΦΑΡΜΟΓΗ ΣΕ ΕΛΛΗΝΙΚΑ ΠΕΤΡΕΛΑΙΟΦΟΡΑ ΠΕΤΡΩΜΑΤΑ

    INFORMATION ABOUT THE PORE STRUCTURE OF PERMEABLE SOLIDS IS EMBEDDED IN MERCURYINTRUSION-RETRACTION CURVES IN A HIGHLY CONVOLUTED FORM. FOR SOME IMPORTANT CLASSES OF POROUS MEDIA (E.G. SEDIMENTARY OIL-BEARING ROCKS, GRANULAR MATERIALS, CATALYSTS, ETC) THE PORE SPACE CAN BE REPRESENTED AS A MATRIX …

    greece Repository record for ΒΕΛΤΙΩΜΕΝΗ ΜΕΘΟΔΟΣ ΑΝΑΛΥΣΗΣ ΤΗΣ ΠΟΡΩΔΟΥΣ ΔΟΜΗΣ ΔΙΑΠΕΡΑΤΩΝ ΣΤΕΡΕΩΝ: ΕΦΑΡΜΟΓΗ ΣΕ ΕΛΛΗΝΙΚΑ ΠΕΤΡΕΛΑΙΟΦΟΡΑ ΠΕΤΡΩΜΑΤΑ (opens in a new tab)