Global ETD Search
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Showing 1 to 6 of 6 for “"Pore Network Modeling"”.
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Impacts of Rock-Brine Interactions on Petrophysical Properties of a Sandstone Reservoir, Utilizing Geochemical and Pore Network Modeling
… Bayou, TX, are examined using geochemical modeling. The studied reservoir belongs to the Frio formation. In the geochemical models, the brine is cooled down to the estimated output temperature of a geothermal heat exchanger and re-equilibrated. Then, brine-rock interactions at reservoir …
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Image-Based Quantification and Coupled PNM-FEM of Architecture, Deformation, and Fluid Dynamics in Biological Porous Media Under Mechanical Loading
… describes an image-based method that integrates Pore Network Modeling (PNM), Finite Element Method (FEM), and statistical image analysis to study the involvement of fluid on the mechanical responses of load-bearing connective tissues. The extracellular matrix (ECM), a porous scaffold filled with …
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Pattern formation in fluid injection into dense granular media
… on computational fluid dynamics (CFD) and a pore network modeling scheme. The numerical results from the two complementary methods reproduce phenomena consistent with the experimental observations and justify the concept of associating the displacement regimes with the partition among energy …
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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, …
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Predicting Flow in Firebrand Pile using Pore Network Model
… and flow profile within the firebrand pile. Modeling the firebrand pile as a fibrous porous medium, this study identified a porosity-permeability correlation that accurately describes the transport properties of a firebrand pile. The conduction-based model and Kozeny-Carman model were …
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Prediction of Capillary Pressure and Relative Permeability Curves using Conventional Pore-scale Displacements and Artificial Neural Networks
Traditional network models use simplified pore geometries to simulate multiphase flow using semi-analytical correlation-based approaches. In this work, we aim at improving these models by (I) extending the numerical methodologies to account for pore geometries with convex polygon cross sections and …