Modelling fluid-microstructure interaction on elasto-visco-plastic digital rocks

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Cite
Lesueur, Martin, et al. “Modelling Fluid-Microstructure Interaction on Elasto-Visco-Plastic Digital Rocks”. Geomechanics for Energy and the Environment, vol. 12, 2017, pp. 1-13, https://doi.org/10.1016/j.gete.2017.08.001.
Lesueur, M., Casadiego, M. C., Veveakis, M., & Poulet, T. (2017). Modelling fluid-microstructure interaction on elasto-visco-plastic digital rocks. Geomechanics for Energy and the Environment, 12, 1-13. https://doi.org/10.1016/j.gete.2017.08.001
Lesueur, Martin, Maria Camila Casadiego, Manolis Veveakis, and Thomas Poulet. “Modelling Fluid-Microstructure Interaction on Elasto-Visco-Plastic Digital Rocks”. Geomechanics for Energy and the Environment 12 (2017): 1-13. https://doi.org/10.1016/j.gete.2017.08.001.
Lesueur M, Casadiego MC, Veveakis M, Poulet T. Modelling fluid-microstructure interaction on elasto-visco-plastic digital rocks. Geomechanics for Energy and the Environment. 2017;12:1-13.
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Refrences
Title Journal Journal Categories Citations Publication Date
10.1017/CBO9780511800955 2000
Computational permeability determination from pore-scale imaging: sample size, mesh and method sensitivities 2015
From creeping to inertial flow in porous media: a lattice Boltzmann-finite element study 2013
Computations of absolute permeability on micro-CT images 2013
Pore-scale network simulation of {NMR} response in two-phase flow 2010
Citations
Title Journal Journal Categories Citations Publication Date
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  • Science: Geology: Mineralogy
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Reconstruction of granite microstructure model using simulated annealing method and Voronoi tessellation

Engineering Computations
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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Citations Analysis
The category Science: Geology 8 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Influence of three-dimensional roughness of rock fracture on seepage characteristics based on the digital image technology and was published in 2018. The most recent citation comes from a 2024 study titled Shape engineering for improved gas separation: Computation-driven insights on harnessing platonic particles in mixed-matrix membranes. This article reached its peak citation in 2022, with 7 citations. It has been cited in 17 different journals, 17% of which are open access. Among related journals, the Advances in Water Resources cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year