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64 results for “fracture modelling”
Pore-scale electrical numerical simulation and new saturation model of fractured tight sandstone
<p>Fractured tight sandstone reservoirs are characterized by low matrix porosity, low matrix permeability, and strong heterogeneity. Fractures developed in rocks improves reservoir permeability, but it brings new challenges to formation evaluation from log interpretation. The conventional Archie’s equation is not applicable. Meanwhile, the fragility of fractured rocks limits the application of petrophysical experiment method which is expensive and time-consuming. Recently, the development of digital rock technology provides a new means for studying fractured rocks. In this work, a set of fractured digital rocks with different fracture openings and dips are constructed to study electrical properties of fractured rocks using finite element method (FEM). The formation factor <em>F</em> is calculated by the resistivity simulation results of digital rocks with different porosity and an equation of cementation exponent versus fracture opening and dip is established. Then the resistivity of partially saturated rocks is simulated by FEM and the resistivity index is calculated to build the cross-plot of resistivity index (<em>RI</em>) and water saturation (<em>S</em><sub>w</sub>). The relationship between the <em>RI</em> and <em>S</em><sub>w</sub> for fractured rocks is exponential. Subsequently, a new saturation model for fractured tight rock reservoirs is proposed. Taken the deep Cretaceous fractured tight sandstone gas reservoir in Kuqa as an example, the model is proved more effective and correct. This study is of great significance in the theoretical analysis and saturation evaluation of fractured tight rock reservoirs.</p>
Geometries, Driving Factors, And Connectivity Of Background Fractures At The Latemar Carbonate Platform (N. Italy): Relevance For Subsurface Reservoir Modelling_DATASETS
<p>The datasets (original field photographs and drone images) presented here are drawn from the extensive fieldwork by the author(s) at the Latemar carbonate platform in northern Italy. These datasets show different rock units in the Latemar platform riddled with diverse structural elements, including fractures (veins, joints, faults) and stylolites. In addition, the datasets are part of the paper titled "<strong>Geometries, Driving </strong><strong>F</strong><strong>actors, And Connectivity Of Background Fractures At The Latemar Carbonate Platform (N. Italy): Relevance For Subsurface Reservoir Modelling", </strong>submitted for publication in the Tectonics Journal. </p> <p>The drone images are taken with DJI Phantom 4® and processed using Agisoft PhotoScan® - a photogrammetry tool. The workflow in processing the drone images is publicly available in the published work of Bisdom et al. (2017).</p>
Evolving geometries, topologies, and apertures in fracture networks: Quantitative insights from lattice modeling
<p>Fracture networks are crucial in controlling rock mass permeability. Some of the important features of the fracture networks like the density, interconnectivity, spatial distribution, and fracture apertures determine the success of the subsurface operations. Fracture networks can be studied with analogue studies, physical experiments, and numerical modeling. In this study, we analyse the evolution of a two-dimensional fracture network under gravitational and shear loads using the lattice modeling capabilities of the microstructural modeling environment “Elle”. The simulation cases include varying gravitational loads and Young’s moduli of the formations. The topological progression of the modeled fracture network from isolated to interconnected nodes depicts a realistic network evolution process. The study shows that the rock stiffness exhibits a direct correlation with the number of fractures influencing the average aperture size of the network. A higher gravity load resulted in the development of a sparse fracture network. Stiffer rock models also showed an early onset of fracturing.</p>
Flow channelling variability in transit times and tortuosity in a fractured rock model with small scale heterogeneity
<p>Description for file "simulation-particle-data-all-cases".</p> <p>First row is header information, as follows: </p> <p>Column 1, label "avf"<br> The variance of fracture aperture fields (m2)</p> <p>Column 2, label "sdx"<br> The correlation length factor of fracture aperture fields (-)</p> <p>Column 3, label "t"<br> Particle transit time (yr)</p> <p>Column 4, label "log_t"<br> Base-10 logarithm of transit time </p> <p>Column 5, label "l"<br> Particle trajectory length (m)</p> <p>Column 6, label "tort"<br> Particle trajectory tortuosity (-)</p>
Evaluation of STIMULAN Device and AI Model in Preventing Fracture Infections
ClinicalTrials.gov study NCT06033534. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Determining Feasibility of a Model of Care for Secondary Fracture Prevention
ClinicalTrials.gov study NCT04931602. IPD Sharing: NO. Countries: 1. Publications: 0.
Development and Validation of a Postoperative Re-fracture Risk Model for Osteoporotic Spinal Fractures
ClinicalTrials.gov study NCT06379243. IPD Sharing: NO. Countries: 1. Publications: 0.
Construction and Validation of a Risk Prediction Model for Secondary Vertebral Fracture in Patients With Osteoporotic Vertebral Compression Fractures After Percutaneous Vertebroplasty
ClinicalTrials.gov study NCT06172179. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Training Prepared in Line With Fracture Liaison Service Model on Frailty in Hip Surgery Patients
ClinicalTrials.gov study NCT05900804. IPD Sharing: NO. Countries: 1. Publications: 0.
Prediction Model of Hip Fragility Fracture Realistic Data From a Traumatology Department and Orthogeriatric Ward.
ClinicalTrials.gov study NCT06545487. IPD Sharing: NO. Countries: 1. Publications: 0.
Risk Factors for Post-Operative Nonunion of Tibial Shaft Fractures Based on a Path Analysis Model
ClinicalTrials.gov study NCT03928912. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Shared cellular characteristics of dysfunctional stromal cell differentiation underpin impaired healing in two models of perturbed fracture healing
GEO Series GSE292578. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
miRNA expression data from callus in standard fracture healing models and from fibrous tissues in nonunion models in rats on post-fracture day 14
GEO Series GSE55088. Mus musculus; Human alphaherpesvirus 1; Human betaherpesvirus 5; Murid betaherpesvirus 1; Human immunodeficiency virus 1; Rattus norvegicus; Human alphaherpesvirus 2; Merkel cell polyomavirus; Homo sapiens; Murid gammaherpesvirus 4; Betapolyomavirus hominis; human gammaherpesvirus 4; JC polyomavirus; Human gammaherpesvirus 8; Mus musculus cytomegalovirus 2; Betapolyomavirus macacae. 2 samples. Type: Non-coding RNA profiling by array.
Hydromechanical Modeling of Nonplanar Three-Dimensional Fracture Propagation Using an Iteratively Coupled Approach
<p>All the data of numerical simulation results shown in the paper.</p>
Extended Embedded Discrete Fracture Model for Enhanced Geothermal Systems Considering Fracture Geometrical and Topological Complexities
<p>All the data of numerical simulation results shown in the paper.</p>
A Nonlinear Flow Model and Criterion for 3D Natural Fracture Intersections: Effects of Surface Roughness and Mechanical Aperture
<p>The present repository includes the raw data of flow rate ~ presure presented in the manuscript submitted for publication in Water Resources Research entitled <em>A Nonlinear Flow Model and Criterion for 3D Natural Fracture Intersections: Effects of Surface Roughness and Mechanical Aperture.</em></p> <p>The repository is presented as TXT files,and all other results including the linear and nonlinear coefficients in Forchheimer equation and permeability of fracture intersections can be calculated employing this basic data.</p> <p> </p>
Digital Three-dimensional Imaging Models for Repair of Complex Long Bone Fractures
ClinicalTrials.gov study NCT02964754. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Design of a Model to Study Functionality of the Trigeminal Nerve in Relation to Controlled Nasal Fractures
ClinicalTrials.gov study NCT02733783. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Model for Risk Prediction of Fracture in Diabetic Patients With Osteoporosis
ClinicalTrials.gov study NCT04534166. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
3D Model - Classification of Thoracic and Lumbar Spinal Fractures.
ClinicalTrials.gov study NCT06379776. IPD Sharing: YES. Countries: 0. Publications: 0.
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