Rapid estimation of permeability from digital rock using 3D convolutional neural network
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Title
Rapid estimation of permeability from digital rock using 3D convolutional neural network
Authors
Keywords
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Journal
COMPUTATIONAL GEOSCIENCES
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-05-27
DOI
10.1007/s10596-020-09941-w
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- (2017) Shuihua Wang et al. IEEE Access
- Micro-computed tomography pore-scale study of flow in porous media: Effect of voxel resolution
- (2016) S.M. Shah et al. ADVANCES IN WATER RESOURCES
- Imaging and image-based fluid transport modeling at the pore scale in geological materials: A practical introduction to the current state-of-the-art
- (2016) Tom Bultreys et al. EARTH-SCIENCE REVIEWS
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- From characterisation of pore-structures to simulations of pore-scale fluid flow and the upscaling of permeability using microtomography: A case study of heterogeneous carbonates
- (2014) Jie Liu et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- Lattice Boltzmann Simulation of Non-Darcy Flow In Stochastically Generated 2D Porous Media Geometries
- (2014) Michael S. Newman et al. SPE JOURNAL
- Direct simulation of the influence of the pore structure on the diffusion process in porous media
- (2013) Yumei Yong et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
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- (2013) Hongkyu Yoon et al. GEOPHYSICAL RESEARCH LETTERS
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- (2013) V. Joekar-Niasar et al. WATER RESOURCES RESEARCH
- X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems
- (2012) Dorthe Wildenschild et al. ADVANCES IN WATER RESOURCES
- Pore-scale imaging and modelling
- (2012) Martin J. Blunt et al. ADVANCES IN WATER RESOURCES
- Digital rock physics benchmarks—part II: Computing effective properties
- (2012) Heiko Andrä et al. COMPUTERS & GEOSCIENCES
- Assessment of the two relaxation time Lattice-Boltzmann scheme to simulate Stokes flow in porous media
- (2012) L. Talon et al. WATER RESOURCES RESEARCH
- 3D simulation of the permeability tensor in a soil aggregate on basis of nanotomographic imaging and LBE solver
- (2011) Faisal Khan et al. JOURNAL OF SOILS AND SEDIMENTS
- Single- and two-phase flow in microfluidic porous media analogs based on Voronoi tessellation
- (2011) Mengjie Wu et al. LAB ON A CHIP
- Application of percolation theory to microtomography of structured media: Percolation threshold, critical exponents, and upscaling
- (2011) Jie Liu et al. PHYSICAL REVIEW E
- Determination of the size of the representative volume element for random quasi-brittle composites
- (2009) C. Pelissou et al. INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
- Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation
- (2009) Srinivas C. Turaga et al. NEURAL COMPUTATION
- Modeling and simulation of pore-scale multiphase fluid flow and reactive transport in fractured and porous media
- (2009) Paul Meakin et al. REVIEWS OF GEOPHYSICS
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- (2008) Jean-Baptiste Clavaud et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Developing a new form of permeability and Kozeny–Carman constant for homogeneous porous media by means of fractal geometry
- (2007) Peng Xu et al. ADVANCES IN WATER RESOURCES
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