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71 results for “Porous media”
Porous Media Modeling and Physical Property Analysis
<p>This is a supplementary dataset for the submitted manuscript. The dataset includes CT samples, porous media models, permeability and elasticity result data, and Matlab code to implement the modeling.</p>
NMR_T2_evaporation-of-water_porous-media
<p>Nuclear magnetic resonance (NMR) transversal relaxation time T2 during evaporation of water from porous media was collected. Both homogeneous and inhomogeneous porous media was applied in experiments. Homogeneous porous media was made of uniform-sized glass beads with diameter at either 25 μm or 150 μm. Inhomogeneous porous media included two parts with top and bottom part made of fine and coarse beads respectively. By adjusting the proportion of each part, multiple inhomogeneous porous media was made. The temperature during experiment was controlled at 50 °C and T2 data was recorded every 30 minutes (individual experiment lasted from 3 to 5 days). Carr-Purcell-Meiboom-Gill (CPMG) sequence was applied in data recording and parameters were set at TE=0.2 ms and NECH=18000. Each recording collects 5000 pairs of T2 and corresponding signal amplitude, based on which the transient water content and distribution could be obtained.</p>
Dataset to "Local thermodynamic description of isothermal single-phase flow in simple porous media"
<p>This is the dataset presented in the article "Local thermodynamic description of isothermal single-phase flow in porous media" [1]. This dataset contains three files: "equilibrium.out", "equilibrium_bulk.out", and "flow.out". The first file contains data for equilibrium simulations of the porous medium, while the second file contains data for equilibrium simulations of bulk fluid, and the third file contains data for non-equilibrium simulations of the porous medium.</p> <p>[1] https://doi.org/10.1007/s11242-022-01844-x</p> <p><strong>In the file "equilibrium.out" the columns from left to right are</strong></p> <ol> <li>Temperature</li> <li>Standard deviation of the temperature</li> <li>Lattice constant</li> <li>Fluid chemical potential</li> <li>Potential energy</li> <li>Standard deviation of the potential energy</li> <li>Kinetic energy</li> <li>Standard deviation of the kinetic energy</li> <li>Fluid mass density</li> <li>Standard deviation of the fluid mass density</li> </ol> <p><strong>In the file "equilibrium_bulk.out" the columns from left to right are</strong></p> <ol> <li>Temperature</li> <li>Standard deviation of the temperature</li> <li>Fluid chemical potential</li> <li>Potential energy</li> <li>Standard deviation of the potential energy</li> <li>Kinetic energy</li> <li>Standard deviation of the kinetic energy</li> <li>Fluid mass density</li> <li>Standard deviation of the fluid mass density</li> <li>Trace of the mechanical pressure tensor divided by 3</li> <li>Standard deviation of the trace of the mechanical pressure tensor divided by 3</li> </ol> <p><strong>In the file "flow.out" the columns from left to right are</strong></p> <ol> <li>Temperature</li> <li>Standard deviation of the temperature</li> <li>Lattice constant</li> <li>Fluid chemical potential</li> <li>Passing probability of reflecting particle method (RPM)</li> <li>Mass flux</li> <li>Standard deviation of the mass flux</li> <li>Integral pressure gradient</li> <li>Standard deviation of the integral pressure</li> </ol>
Code and experimental images - Stable and unstable capillary fingering in porous media with a gradient in grain size
<p>Matlab script. Invasion Percolation code in graded matrices and gravity.<br> Pictures: experimental invasion of air at constant flow rate in a 3D-printed graded porous medium wet by glycerol/water.<br> <br> Originally designed for the following article: https://arxiv.org/abs/2203.15524.<br> Accepted in Communications Physics (2022).<br> <br> Can easily be tweaked for other problems</p>
Supplementary data to the paper "Large scale voxel-based FEM formulation for NMR relaxation in porous media"
<p>This repository contains supplementary data to the paper "Large scale voxel-based FEM formulation for NMR relaxation in porous media", which is being considered for publication. The files are:<br><br>**_data.zip - Binary image files;</p> <p>FEM_T2_**.csv - T2 simulation results using finite elements;</p> <p>FEM_**_inv.csv - T2 inversion for the finite element simulations;</p> <p>RW_T2_**.csv - T2 simulation results using random walk;</p> <p>RW_**_inv.csv - T2 inversion for the random walk simulations;</p> <p>local_digital_correction.c - Vector containing the local geometry correction factors, accessed integers formed by the 8-bit binary key of the node neighborhood;</p> <p>Where ** is the rock type:</p> <p>AC - Austin Chalk</p> <p>BS - Berea Stripe</p> <p>DP - Desert Pink</p> <p>IB - Idaho Brown</p> <p>Obs.: in order to obtain the relaxation curves the following parameters were utilized in the simulations:</p> <p>Bulk diffusivity: 2500 micro-m2/s (all rock samples) </p> <p>Bulk relaxation: 2.6 s (all rock samples)</p> <p>Voxel size: {1.0; 2,0; 0.9; 2.0} micro-m (for AC, BS, DP, IB respectively)</p> <p>Surface relaxivity: {23.3; 12.1; 12.3; 8.3} micro-m/s (for AC, BS, DP, IB respectively)</p>
Study on the effects of heterogeneous distribution of methane hydrate on permeability of porous media using low-field NMR technique
<p>Data sets for the Publication 'Study on the effects of heterogeneous distribution of methane hydrate on permeability of porous media using low-field NMR technique' in Water Resources Research.</p>
An Improved Tandem Neural Network Architecture for Inverse Modeling of Multicomponent Reactive Transport in Porous Media
<p>This data includes the training and testing dataset for DNN design and the observation data of synthetic example for validation. </p> <p>The code of TNNA-AUS inversion method.</p>
Effect of Hydrophobicity of Fluorescent Carbon Nanoparticles on Transport in Porous Media: Column Experiment Data and Modeling
<p>The data contained here are derived from sand column experiments and modeling which investigate the effects of hydrophobicity on the transport of fluorescent carbon nanoparticles (FCN) in porous media.</p> <p>The data consist of outlet concentrations (relative to the inlet concentrations) of FCN for a suite of experiments testing the recovery of FCN synthesized using four different pyrolysis temperatures(190C, 210C, 230C, and 250C), as well as the recovery of FCN when passed through three different sand types (Fine, Medium, and Coarse). Column experiments were tested under both saturated and unsaturated conditions to investigate the role of pore water content on FCN retention. Finally, results from tests using an inert bromide tracer are also included (File: May_et_al_Column_Experiment_Outlet_Concentrations.xlsx).</p> <p>Additionally, the results from modeling the observed breakthrough curves of FCN are included for three different transport models, as well as modelling results for an inert bromide tracer (File: May_et_al_Breakthrough_Curve_Modeling.xlsx).</p> <p>The raw output files for the two-kinetic sites model that was determined to best reproduce the observed breakthrough curves are also provided (File: May_et_al_Two_Kinetic_Sites_Model_Raw_Output.zip)</p> <p>Finally, the results of sand surface characterization for three sands using a scanning electron microscope are included (File: May_et_al_Sand_Surface_Characterization_SEM-DATA.zip).</p> <p>Please see the following paper for more details: May, D.F., B. Hassanpour, L. Sinclair, T.S. Steenhuis, and L.M. Cathles, (2023, pending), Effect of Hydrophobicity of Fluorescent Carbon Nanoparticles on Transport in Porous Media: Column Experiments and Modeling, Water Resources Research, Manuscript Submitted for Review.</p>
Reactive Multiphase Flow in Porous Media at the Darcy Scale: a Benchmark proposal
<p>Description and data files for a "Reactive Two-phase flow Benchmark"</p> <p>Modeling reactive multiphase multicomponent flow in porous media leads to a highly nonlinear coupled system of degenerate partial differential equations and algebraic and/or ordinary differential equations, requiring special numerical treatment. The Benchmark consists of five test problems in total (both in 1D and in 2D), with varying degrees of difficulty, designed to verify the algorithms and<br> the codes dedicated to simulate coupled isothermal Hydro-Chemical processes during injection and storage of CO2 in the subsurface. It is intended to be used as a basis for comparing codes in order to better understand different couplings such as chemical reactions with two-phase flow, phase behavior with equilibrium reactions, dissolution and precipitation</p>
Datasets for "Time-evolving effective dispersion (TED) model for1 transport in porous media"
<p>Temporal evolution of <span class="math-tex">\(D^{\mathrm{eff}}_{\mathrm L}(t)\)</span> simulated by particle tracking. Ensemble of 100 realisations. var: <span class="math-tex">\(\sigma^2_f\)</span>.</p>
Brine Drying and Salt Precipitation in Porous Media: A Microfluidics Study
<p>This is a dataset for the research "Brine Drying and Salt Precipitation in Porous Media: A Microfluidics Study'', including all the test images, the images used for U-net training, and the data for figures presented.</p>
Dataset: High-fidelity experimental model verification for flow in fractured porous media
<p>The dataset consists of five image series of tracer experiments in fractured porous media. The images have been taken using PET imaging and are available in DICOM format. Overall, three fractured geometries have been considered, called fractip-a, fractip-b, and fractip-e. Different boundary conditions have been used, generating in total four experiments. In addition, images of simple water displacement experiments in an intact core (fractip-j) are provided, useful for extracting macroscopic hydraulic properties of the core material. All experiments are based on water displacement and use 18F-FDG tracer for PET tracking. The available DICOM images are reconstructed using 1 min x 0.4mm space-time voxels. </p> <p>A related data analysis based on the Darcy Scale Image Analysis toolbox DarSIA is available at 10.5281/zenodo.10410227.</p>
Temporal and Spatial Evolution of Pore Scale PDFs of Solute Concentrations to Study Incomplete Mixing in Porous Media
<p>C at M.I for Pe100 (sample): Sample (vector) of pore scale concentrations at Pe100 and five different times.</p> <p>C Chunk for All Pe (sample): Sample (3D block) of pore scale concentrations at the mixing interface for six Peclet number cases ( 10, 32, 100, 316, 1000, 3160) and at 11 different time steps extracted from the full size column. This is extracted using the semi-analytical appraoch to eliminate boundary effect.</p> <p>meanvelocities: Matlab Data of the pore scale longitudinally averaged velocity.</p> <p>MLE: Result of maximum likelihood estimation analysis for 18 different distribution functions (Excel file)</p> <p>SemiAnalytical: Matlab code for the implementation of the semi-analytical apporach.</p> <p>gamma_incomplete: Incomplete Gamma function required for the SemiAnalytical code.</p>
Data for paper "The role of temperature and drying cycles on impurity deposition in drying porous media"
<p>The attached files contain the data for the paper "The role of temperature and drying cycles on impurity deposition in drying porous media" by Ellen Luckins, Chris Breward, Ian Griffiths and Colin Please, accepted for publication in Europhysics Letters (April 2024). See the READ ME file for a description of the data.</p>
Dataset for WRR journal "Pore space deformation and its implications for two-phase flow through porous media: A micro-scale experimental investigation"
<p>Pressure drop, pore network model</p> <p>Calculation of REVs, strains, absolute and relative permeabilities, porosities profiles, grain size distribution, pore and throat size distribution. coordination number, aspect ratio, etc.</p>
Matlab Dataset and Codes For the Article (Unsteady State Capillary Retention in Porous Media)
<p>The uploaded dataset and software codes contain the Matlab scripts used to solve the capillary retention equation numerically and output results (in the zip file). The file 'plot_article.m' contains the scripts used to display the results as figures attached in the article. </p>
Solutal convection in 3D porous media - Horizontal and vertical concentration distributions over time at Rayleigh number 10000.
<p>Solutal convection in 3D porous media - Horizontal and vertical concentration distributions over time at Rayleigh number 10000. </p> <p> </p>
Flux of density-driven convective dissolution in heterogeneous porous media
<div> <p>Dissolution of CO2 in to brine can increase the density of CO2 rich brine and can cause density driven convection, which can enhance the dissolution of CO2 into brine. Permeability heterogeneity in natural saline aquifers cuases uncertaintis in dissolutio rates, which is measured with mass flux at the CO2-brine interface. Both laboratory experiments and numerical simiulations were conducted to investigate the impact of permeability heterogeneity on convective dissolution. This dataset includes the flux at the CO2-brine interface against time of 48 experiments and 2000 numerical simulations.</p> <p> </p> <p> </p> </div>
Porous media graphs for GNN
<p>This data is the graphs of porous media generated by PyG, based on the porous media images from DeePore. </p>
Supporting Information: Equivalence of Discrete Fracture Network and Porous Media Models by Hydraulic Tomography
<p>Supporting Information README</p> <p>2018-Jan-17</p> <p>"Equivalence of Discrete Fracture Network and Porous Media Models by Hydraulic Tomography"</p> <p>Yanhui Dong, Yunmei Fu, Tian-Chyi Jim Yeh, Yu-Li Wang, Yuanyuan Zha, Liheng Wang, Yonghong Hao</p> <p>This file contains the supplementary data for this manuscript, including the locations and properties of fracture networks, the locations of observation wells and validation wells, the water head used in inverse model and validation tests, as well as the executive file used in the inverse model.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.