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25 results for “Pore-scale”
The role of injection method on residual trapping at the pore-scale in continuum-scale samples: segmented data
<p>The experiments in this work explore the role of a variable injection rate on gas saturation and residual trapping. There are 2 experiments in this work H2L (high to low injection rate) and L2H (low to high injection rate). The workflow for processing the micro-CT images to get the segmented images is described in [1]. </p><p>The following scans are included in this repository NB. all data for this repository is segmented micro-CT data.: </p><ol><li>Dry scan prior to experiment = merged_binning_2_38_1927</li><li>H2L during high flow = merged_segmented_flow_09_h2lh_merged</li><li>H2L during low flow = merged_segmented_flow_11_h2ll_2_merged</li><li>H2L at the end of drainage (no flow) =merged_segmented_flow_16_dra1_pd5_merged</li><li>H2L at the end of imbibition (no flow) =merged_segmented_flow_21_imb1_pi1_merged</li><li>L2H during low flow = merged_segmented_flow_29_2_l2hl_merged</li><li>L2H during high flow = merged_segmented_flow_30_l2hh_merged</li><li>L2H at the end of drainage (no flow) =merged_segmented_flow_31_dra2_pd1_merged</li><li>L2H at the end of imbibition (no flow) =merged_segmented_flow_33_imb2_pi1_merged</li></ol>
Dataset for Pore-scale investigation of forced imbibition in porous media
<p>Dataset for the manuscript titled" Pore-scale investigation of forced imbibition in porous media"</p>
A closer look: High-resolution pore-scale simulations of solute transport and mixing through porous media columns
<p>This dataset contains the results of fluid flow (Navier-Stokes) and solute transport (Advection-Diffusion) simulations within columns of granular media generated by virtual gravitational settling of spherical grains. The experiments comprise three media with different degrees of grain-size variability; a range of grain-Peclet numbers is explored. See the homonymous research paper by Sole-Mari et al. (2022, Water Resources Research) for more information.</p> <p>Grains.zip: Positions and radii of the spherical grains for each value of grain-size variability sigma (Matlab's .mat format).</p> <p>ResultsCoarse.zip: Coarse-scale data presented in the aforementioned WRR paper (Matlab's .mat format).</p> <p>Link to the full micro-scale dataset: (soon available)</p> <p>We thankfully acknowledge the computer resources at MareNostrum and the technical support provided by the Barcelona Supercomputing Center (AECT-2019-3-0014).</p> <p> </p>
Pore-scale fluid dynamics resolved in pressure fluctuations at the Darcy scale
<p>Pressure data from the 5 experiments described in Spurin et al. Pore-scale fluid dynamics resolved in pressure fluctuations at the Darcy scale. <em>GRL, 2023. </em></p> <p>There are 2 data sets from the pore-scale observations with either gas or oil injected. There are 3 data sets from the core-scale observations: 1 with oil injected, and 2 with gas injected. The 2 gas experiments were conducted in the same sample, just with the flow direction reversed. </p> <p>This upload also includes the code to perform the continuous wavelet transform on the pressure data. </p>
The role of injection method on residual trapping at the pore-scale in continuum-scale samples: raw micro-CT dataset
<p>The experiments in this work explore the role of a variable injection rate on gas saturation and residual trapping. There are 2 experiments in this work H2L (high to low injection rate) and L2H (low to high injection rate). The workflow for processing the micro-CT images to get the segmented images is described in [1]. </p><p>The following scans are included in this repository NB. all data for this repository is segmented micro-CT data.: </p><ol><li>Dry scan prior to experiment = <a href="https://zenodo.org/api/records/10145102/draft/files/05_dry_bin2_merged.tif/content">05_dry_bin2_merged.tif</a></li><li>Sample fully saturated with brine = <a href="https://zenodo.org/api/records/10145102/draft/files/07_wet_bin2_merged.tif/content">07_wet_bin2_merged.tif</a></li><li>H2L during high flow = <a href="https://zenodo.org/api/records/10145102/draft/files/09_h2lh_merged.tif/content">09_h2lh_merged.tif</a></li><li>H2L during low flow = <a href="https://zenodo.org/api/records/10145102/draft/files/11_h2ll_2_merged.tif/content">11_h2ll_2_merged.tif</a></li><li>H2L at the end of drainage (no flow) = <a href="https://zenodo.org/api/records/10145102/draft/files/16_dra1_pd5_merged.tif/content">16_dra1_pd5_merged.tif</a></li><li>H2L at the end of imbibition (no flow) = <a href="https://zenodo.org/api/records/10145102/draft/files/21_imb1_pi1_merged.tif/content">21_imb1_pi1_merged.tif</a></li><li>Sample fully resaturated with brine = <a href="https://zenodo.org/api/records/10145102/draft/files/28_wet2_bin2_merged.tif/content">28_wet2_bin2_merged.tif</a></li><li>L2H during low flow = <a href="https://zenodo.org/api/records/10145102/draft/files/29_2_l2hl_merged.tif/content">29_2_l2hl_merged.tif</a></li><li>L2H during high flow = <a href="https://zenodo.org/api/records/10145102/draft/files/30_l2hh_merged.tif/content">30_l2hh_merged.tif</a></li><li>L2H at the end of drainage (no flow) =<a href="https://zenodo.org/api/records/10145102/draft/files/31_dra2_pd1_merged.tif/content">31_dra2_pd1_merged.tif</a></li><li>L2H at the end of imbibition (no flow) =<a href="https://zenodo.org/api/records/10145102/draft/files/33_imb2_pi1_merged.tif/content">33_imb2_pi1_merged.tif</a></li></ol>
Mesh and velocity fields for "Resolving Pore-scale Concentration Gradients for Transverse Mixing and Reaction in Porous Media"
<p>This dataset contains the data needed to reproduce the results in the manuscript "Resolving Pore-scale Concentration Gradients for Transverse Mixing and Reaction in Porous Media". The three folders refer to (1) uniform flow, (2) flow through a bead pack, and (3) flow through a Berea sample (from the 11 sandstones repository, Digital Rocks Portal). The meshes and the velocity fields (in the subfolder "velocity") are in a HDF5 format. The meshes and velocity fields can be read using FEniCS version 2019.2.0. The velocity fields need 2nd order Lagrange tetrahedral elements.</p>
Supplementary material for publication "Pore-scale salinity effects on methane hydrate dissociation" by Almenningen et al
<p>Supplementary materials for publication "Pore-scale salinity effects on methane hydrate dissociation"</p> <p>Abstract: Sedimentary methane gas hydrates may become a significant source of methane gas in the global energy mix for the next decades. The widespread distribution of methane hydrates, primarily in subsea sediments on continental margins, makes the crystalline compound attractive for countries with shorelines that seek self-sustainable energy. Fundamental understanding of pore-level methane hydrate distribution and dissociation pattern is important to anticipate the gas production from hydrate reservoirs. Especially the effect of local salinity gradients on dissociation characteristics must be understood as the aqueous phase in most reservoirs is saline. We evaluate the pore-level salinity effect on hydrate dissociation experimentally using silicon-wafer micro-models capable of withstanding high internal pressures. Methane hydrates were formed with brines for a range of salinities (0.0, 2.0, 3.5 and 5.0 wt% NaCl), and we study hydrate dissociation during both depressurization and thermal stimulation, which currently are the most cost-effective production methods. The laboratory results show how initial pore-scale hydrate distribution prior to dissociation affect the melting and mobilization of gas. The local pore-water salinities influenced the stability of the hydrate structure, and led to distinct dissociation patterns due to water freshening.</p>
dataset for "Corner-bridge flow as pore-scale flow mechanism controlling capillary pressure curve at low saturations"
<p>dataset for "Corner-bridge flow as pore-scale flow mechanism controlling capillary pressure curve at low saturations", including raw images from drainage experiments</p>
Benchmark dataset for pore-scale CO2-water interaction
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Pore-Scale Modeling of Carbon Dioxide and Hydrogen Transport during Geologic Gas Storage
<p>This file contains the data discussed in association with our journal submission. We discuss pore-scale simulations to compare CO2 and H2 invasion at subsurface conditions in the context of geologic storage.</p>
Data for: A comparative study on heterogeneity of clay rocks using pore-scale diffusion simulations and experiments
<p>This is the dataset for the paper "A comparative study on heterogeneity of clay rocks using pore-scale diffusion simulations and experiments" in JGR: Solid Earth</p>
Data set for: Pore-scale simulation of salt precipitation during CO2 injection into saline aquifers, Water Resources Research
<p>This dataset includes output data used for analyses presented in the paper titled: Pore-scale simulation of salt precipitation during CO2 injection into saline aquifers and submitted to Water Resources Research.</p>
Trapping, Remobilization, Ostwald ripening, and Hysteresis in Geological CO2 Storage: Pore-Scale Imaging and Modelling
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Pore-scale modeling and investigation on thermal-hydro-mechanical-chemical coupled rock dissolution and fracturing process
<p>Attached files include the executable file of the pore-scale multi-field coupled LBM-DEM program written by C language, post-processing programs to record the reactive surface area and reactive temperature written by MATLAB, and the simulation results of rock acid fracturing with 20MPa at the injection hole.</p>
Pore-scale characterization of residual gas remobilization in CO2 geological storage
<p>A decrease in reservoir pressure can lead to remobilization of residually trapped CO<sub>2</sub>. In this study, the pore-scale processes related to trapped CO<sub>2</sub> remobilization under pressure depletion were investigated with the use of high-resolution 3D X-ray microtomography. The distribution of CO<sub>2</sub> in the pore space of Bentheimer sandstone was measured after waterflooding at a fluid pressure of 10 MPa, and then at pressures of 8, 6 and 5 MPa. At each stage CO<sub>2</sub> was produced, implying that swelling of the gas phase and exsolution allowed the gas to reconnect and flow. After production, the gas reached a new position of equilibrium where it may be trapped again. At the end of the experiment, we imaged the sample again after 30 hours. Firstly, the results showed that an increase in saturation beyond the residual value was required to remobilize the gas, which is consistent with earlier field-scale results. Additionally, Ostwald ripening and continuing exsolution lead to a significant change in fluid saturation: transport of dissolved gas in the aqueous phase to equilibriate capillary pressure led to reconnection of the gas and its flow upwards under gravity. The implications for CO<sub>2</sub> storage are discussed: an increase in saturation beyond the residual value is required to mobilize the gas, but Ostwald ripening in turn can allow local reconnection of hitherto trapped gas, thus enhancing migration and may reduce the amount of CO<sub>2</sub> that can be capillary trapped in storage operations.</p>
Updated dataset for the manuscript - "Pore-scale Water Vapor Condensation Behaviors in Shales: An Experimental Study"
<p>Updated dataset for the manuscript entitled "Pore-scale Water Vapor Condensation Behaviors in Shales: An Experimental Study".</p>
Gas permeability through swelling porous media: Insights from coarse-grained pore-scale simulations
<p>CGMD data for gas transport in swelling porous media</p>
Data and SI movies of pore-scale CO2-brine interfacial mass transfer during imbibition
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dataset of pore-scale CO2-brine interfacial mass transfer in mibibition
<p>dataset of pore-scale CO2-brine interfacial mass transfer in mibibition.</p>
A pore-scale 3D dynamic morphological modeling and physical characterization of hydrate-bearing sediment based on computed tomography images
<p><strong>Introduction</strong></p> <p>This supporting information includes one figure S1, which is the representative elemental volume (REV) used in this study. And the figure S1 is consisted of 300 slices with a voxel size of 4.4 μm. There are two phases in the REV: the sand and the pore.</p> <p> </p> <p>Figure S1 is uploaded with file name Figure S1-REV300.am, which is the representative elemental volume (REV) used in this study</p>
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