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113 results for “Fluid pressurization”
Subsurface monitoring of Arbuckle Fluid Pressure
<p>This is the result of a pressure monitoring project in the Oklahoma Arbuckle Scoop-Stack from August 2016 to March 2020. The data is stored in an h5 file format, and there is an accompanying python script that can be used to decompress the data.</p>
Dataset for The Role of Interstitial Fluid Pressure in Cerebral Porous Biomaterial Integration
<p>Raw data associated with the manuscript <a href="https://doi.org/10.3390/brainsci12040417">The Role of Interstitial Fluid Pressure in Cerebral Porous Biomaterial Integration</a></p>
Density-pressure isotherms of the 2D Lennard Jones fluid between the triple point temperature and the critical temperature
<p>Pressure-density isotherms of the 2D truncated-shifted Lennard-Jones fluid, with <span class="math-tex">\(r_{c} = 2.5 \sigma\)</span>:</p> <p><span class="math-tex">\(V\left(r\right) = \begin{cases} U\left(r\right) - U\left(r_{c}\right) & \text{if } 0 < r < r_{c}\\ 0 & \text{if } r \geq r_{c} \end{cases}\)</span> with <span class="math-tex">\(U\left(r\right) = 4 \varepsilon \left(\left(\frac{\sigma}{r}\right)^{12}-\left(\frac{\sigma}{r}\right)^{6}\right)\)</span></p> <p>All thermodynamic quantities are reduced with respect to the Lennard-Jones parameters <span class="math-tex">\(\sigma\)</span> and <span class="math-tex">\(\epsilon\)</span> :</p> <ul> <li>Number 2D density <span class="math-tex">\(\rho^{*} = \sigma^{2}\rho\)</span></li> <li>2D pressure <span class="math-tex">\(P^{*} = \frac{\sigma^{2}}{\varepsilon}P\)</span></li> <li>Temperature <span class="math-tex">\(T^{*} = \frac{k_{B} T}{\varepsilon}\)</span></li> </ul> <p>The temperatures of the isotherms are <span class="math-tex">\(T^{*} = 0.40\)</span>, <span class="math-tex">\(T^{*} = 0.41\)</span>, <span class="math-tex">\(T^{*} = 0.42\)</span>, <span class="math-tex">\(T^{*} = 0.43\)</span>, and <span class="math-tex">\(T^{*} = 0.44\)</span> which corresponds to the range of liquid-gas coexistence, between the triple point temperature (<span class="math-tex">\(T_{t}^{*} \approx 0.40\)</span>) and the critical temperature (<span class="math-tex">\(T_{c}^{*} \approx 0.46\)</span>). Here are reported the isotherms for the gas and liquid phases and the coexistence points.</p> <p>The liquid and gas isotherms are obtained by Molecular Dynamics with the LAMMPS software (<a href="https://lammps.sandia.gov/">https://lammps.sandia.gov/</a>). The density and temperature are imposed (Langevin thermostat) and the pressure is computed with the virial estimate. The simulations are performed for 2D systems of dimensions <span class="math-tex">\(L_{x} = 44.9 \sigma\)</span> and <span class="math-tex">\(L_{y} = 46.7 \sigma\)</span> containing between 1300 and 1900 particles in the liquid phase, and 4 to 200 particles in the gas phase. The systems are equilibrated over <span class="math-tex">\(3 \cdot 10^{7}\)</span> times steps. Then, the computation of the thermodynamic properties is performed over a variable number of time steps in order to reach a targeted accuracy (standard deviation of the pressure). The longest simulations (liquid approaching cavitation) require about <span class="math-tex">\(10^{9}\)</span> time steps of computation. The block averaging method is used to estimate the standard deviation of pressure. The data are provided in csv files named as follows : 'liq_TX.XX.txt' for the liquid at temperature <span class="math-tex">\(T^{*} = X.XX\)</span>, and 'gas_TX.XX.txt' for the gas at temperature <span class="math-tex">\(T^{*} = X.XX\)</span>. The first column is the inverse number density <span class="math-tex">\(1/\rho^{*}\)</span>, the second column is the pressure <span class="math-tex">\(P^{*}\)</span>, and the last column is the standard deviation of the pressure <span class="math-tex">\(\Delta P^{*}\)</span>.</p> <p>The coexistence points are obtained by Gibbs ensemble Monte Carlo with an in house code. The temperature is imposed and the liquid and gas densities and the coexistence pressure (virial estimate) are computed. The csv file 'coexistence.txt' contains the coexistence data in the following order: the first column is the temperature <span class="math-tex">\(T^{*}\)</span>, the second and third columns are the average and standard deviation of the inverse of the gas number density <span class="math-tex">\(1/\rho_{gas}^{*}\)</span> and <span class="math-tex">\(\Delta\left(1/\rho_{gas}^{*}\right)\)</span>, the forth and fifth columns are the average and standard deviation of the inverse of the liquid number density <span class="math-tex">\(1/\rho_{liq}^{*}\)</span> and <span class="math-tex">\(\Delta\left(1/\rho_{liq}^{*}\right)\)</span>, and the sixth and seventh columns are the average and standard deviation of the coexistence pressure <span class="math-tex">\(P^{*}\)</span> and <span class="math-tex">\(\Delta P^{*}\)</span>.</p> <p>The files 'chart_gas.pdf' and 'chart_liq.pdf' provide graphical display of the data, for the gas and liquid phases respectively.</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>
Fully-coupled pressure-based finite-volume framework for the simulation of fluid flows at all speeds in complex geometries (Supporting Data)
<p>This data accompanies the paper "Fully-coupled pressure-based finite-volume framework for the simulation of fluid flows at all speeds in complex geometries", published in Journal of Computational Physics (2017), http://dx.doi.org/10.1016/j.jcp.2017.06.009.</p>
Barium isotope variation during fluid-rock interaction at forearc depths: evidence from the high-pressure fluid-metasomatized rocks in the Eastern Alps
<p><a name="OLE_LINK7"></a><a name="OLE_LINK1"></a><span><span>The supporting information presents the analytical methods of whole-rock major-trace element compositions and Mg–Fe isotope compositions , as well as whole-rock major-trace elements and Fe–Mg–Sr isotope data</span></span><span><span>.</span></span></p>
Raw data for journal article: "Intracochlear pressure in cadaver heads under bone conduction and intracranial fluid stimulation"
<p>This is a data set containing the raw data for figures 7-14 from the journal article:</p> <p>"Intracochlear pressure in cadaver heads under bone conduction and intracranial fluid stimulation"</p> <p>Original article DOI: 10.1016/j.heares.2022.108506</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/35459531/</p>
SeisSol input files for the dynamic rupture scenarios based on the 2004 Sumatra-Andaman earthquake published in Madden et al. (2022) "The state of pore fluid pressure and 3D megathrust earthquake dynamics" JGR-Solid Earth
<p>This dataset contains the input files of the dynamic rupture scenarios from Madden, E. H., T. Ulrich and A.-A. Gabriel (2022), The State of Pore Fluid Pressure and 3-D Megathrust Earthquake Dynamics, Journal of Geophysical Research-Solid Earth, <a href="https://doi.org/10.1029/2021JB023382">https://doi.org/10.1029/2021JB023382</a>. (Earlier preprint available at: <a href="https://doi.org/10.1002/essoar.10508297.1">https://doi.org/10.1002/essoar.10508297.2</a>)</p> <p><strong>easi/yaml parameter files for the 6 scenarios studied: </strong><br> PAR_Sumatra_scen1new_gen.par, PAR_Sumatra_scen2new_gen.par, PAR_Sumatra_scen3new_gen.par, PAR_Sumatra_scen4new_gen.par, PAR_Sumatra_scen5new_gen.par, PAR_Sumatra_scen6new_gen.par</p> <p><strong>easi/yaml files setting initial on-fault friction, stress and pore fluid pressure conditions for the 6 scenarios studied: </strong>iniStress_Sumatra_scen1new.yaml, iniStress_Sumatra_scen2new.yaml, iniStress_Sumatra_scen3new.yaml, iniStress_Sumatra_scen4new.yaml, iniStress_Sumatra_scen5new.yaml, iniStress_Sumatra_scen6new.yaml<br> <br> <strong>easi/yaml file describing the rock elastic properties in all 6 scenarios:</strong> <br> matprops_Sumatra_2019_LVZ.yaml<br> <br> <strong>mesh file:</strong> <br> topo4_splays_fix9-14.1e6-28m.dtc1-v2-suma</p> <p> </p>
Dataset to "Defining the pressures of a fluid in a nanoporous, heterogeneous medium"
<p>This is the dataset presented in the article "Defining the pressures of a fluid in a nanoporous, heterogeneous medium" [1].</p> <ol> <li>https://www.frontiersin.org/articles/10.3389/fphy.2022.866577/full</li> </ol>
Dataset for "Drift instabilities in thin current sheets using a two fluid model with pressure tensor effects"
<p>Data for publication of the same title submitted to JGR space physics. Quantities and plotting scripts for the eigenmode figures are in the zip file. Simulation data for the time slice used in the figure are in the lhdi.tar and lhdi-fluid-2x2v.h5 files. "lhdi-fluid-2x2v.h5" contains electric field data for the five- and local ten-moment fluid simulations in 2x2v. The tar file contains kinetic simulation data, nonlocal ten-moment data, and the five- and ten-moment simulations using 2x3v. </p> <p>This is an update to the old dataset with the additional 2x2v simulation data.</p>
Fault reactivation during fluid pressure oscillations: transition from stable to unstable slip
<p>This is the ReadMe file corresponding to the study entitled: "Fault reactivation during fluid pressure oscillations: transition from stable to unstable slip"</p> <p>By Noël C., Passelègue X.F, Giorgetti C., Violay M.</p> <p>This study has been published in the Journal of Geophysical Research: Solid Earth under Copyright on October 2019. <br> doi:</p> <p>This Read-Me file has been last edited on October 2019</p> <p>This readme file describes the data repository and supplementary files accompanying the above publication. <br> For any further queries please contact corentin.noel@epfl.ch</p>
Data for "To heal or not to heal? Part I: The effect of pore fluid pressure on the frictional healing behavior of Oklahoma lithologies"
<p>This dataset includes the original data files for each experiment in csv format, the mat version with an additional friction column, the hold picks, the velocity step picks, and the RSFitting results. They have the following names:</p> <ul> <li>UC####.csv</li> <li>UC####.mat</li> <li>UC##_hold_picks.mat</li> <li>UC##_healing_picks.mat</li> <li>UC##_VS_RSFit.mat</li> </ul> <p>The CSV and mat files include the on-sample shear displacement data labeled LVDT1 and LVDT2 and the on-sample radial displacement data labeled LVDT3. All data files except for the RSFit include an OG_Index column which is consistent across files for each experiment, such that it provides a unique indicator for each datapoint. Note that all experiment numbers are available in the main text, except for UC0094, which is shown in the supplement text S6.</p>
The stress- and fluid-pressure-driven frictional slip data for variably roughened fractures in Gonghe granite
<p class="Abstract"><a name="_Hlk122089471"></a><span>We explore</span><span> the impacts of stress- and fluid-pressure-driven frictional slip on variably roughened fractures in Gonghe granite (Qinghai province, China). Slip is on an inclined fracture under simple triaxial stresses with concurrent fluid throughflow allowing fault permeability to be measured both pre- and post-reactivation. Under stress-drive, smooth faults are first slip-weakening and transition to slip-strengthening with rough faults slip-strengthening, alone. A friction criterion accommodating a change in friction coefficient and fault angle is able to fit the data of stable-slip and stick-slip. Under fluid-pressure-drive, excess pore pressures must be significantly larger than average pore pressures suggested by the stress-drive-derived failure criterion. This overpressure is conditioned by the heterogeneity of the pore pressure distribution in radial flow on the fault and related to the change in permeability</span><span>. Fault roughness impacts both the coefficient of friction and the permeability and therefore exerts important controls in fluid-injection-induced earthquakes.</span><span> </span><span>The results potentially improve our ability to assess and mitigate the risk of injection-induced earthquakes in EGS.</span><span> </span></p>
Long term records of barometric pressure and fluid pressure from boreholes of STIMTEC and STIMTEC-X
<p>Long term records of barometric pressure and fluid pressure from boreholes in Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X</p>
NATO Litter: Fluid Immersion System (FIS) Versus Traditional Mattress for Pressure Dispersion
ClinicalTrials.gov study NCT03483623. IPD Sharing: NO. Countries: 1. Publications: 6.
Pulse Pressure Variation Vs. Central Venous Pressure for Fluid Management in Intracranial Tumor Surgery
ClinicalTrials.gov study NCT06776666. IPD Sharing: UNDECIDED. Countries: 1. Publications: 19.
The stress- and fluid-pressure-driven frictional slip data for variably roughened fractures in Gonghe granite
Open the record for dataset details and reuse information.
Brittle faulting of ductile rock induced by pore fluid pressure build-up
<p>his is the ReadMe file corresponding to the study entitled: "Brittle faulting of ductile rock induced by pore fluid pressure build-up"</p> <p>By Noël C., Passelègue X. F., Violay M.</p> <p>This study is under review at JGR: Solid Earth</p> <p>This Read-Me file has been last edited in November 2020</p> <p>This readme file describes the data repository and supplementary files accompanying the above publication. <br> For any further queries please contact corentin.noel@epfl.ch</p>
Videos of dynamic rupture in models of the 2004 Sumatra-Andaman earthquake published in Madden et al. (2022) "The state of pore fluid pressure and 3D megathrust earthquake dynamics" JGR-Solid Earth
<p>Videos of dynamic rupture from models based on the 2004 Sumatra-Andaman earthquake presented in Madden, E. H., T. Ulrich, A.-A. Gabriel (2022). The state of pore fluid pressure and 3D megathrust earthquake dynamics, Journal of Geophysical Research - Solid Earth, <a href="https://doi.org/10.1029/2021JB023382">https://doi.org/10.1029/2021JB023382</a>. (Previous preprint available at: <a href="https://doi.org/10.1002/essoar.10508297.1">https://doi.org/10.1002/essoar.10508297.2</a>.)</p> <p> </p>
Stiffness of Fluid and Gel Phase Lipid Nanovesicles: Weighting the Contributions of Membrane Bending Modulus and Luminal Pressurization
<p>In the manuscript, Atomic Force Microscopy (AFM) is employed for characterizing the mechanical response of nanosized lipid vesicles presenting membranes with different physical state. Results suggest that the mechanical response of lipid vesicles can be ascribed to two main contributions, i) the luminal pressure and ii) the intrinsic membrane rigidity. By developing a spring-based model, authors were able to rationalize the apparent disagrement between the two most commonly employed models for describing vesicle mechanics.</p>
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