GPU-accelerated 3D reconstruction of porous media using multiple-point statistics

DOI10.1007/S10596-014-9452-9zbMath1327.76147OpenAlexW1985832015MaRDI QIDQ894218

N. E. Zubov

Publication date: 27 November 2015

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-014-9452-9

zbMATH Keywords

porous mediaparallelmultiple-point statisticssoft datagraphic processing unitrepresentative elementary volume

Mathematics Subject Classification ID

Flows in porous media; filtration; seepage (76S05) Parallel algorithms in computer science (68W10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Geostatistics (86A32)

Related Items (5)

Reconstruction of spatial data using isometric mapping and multiple-point statistics ⋮ Calibration of categorical simulations by evolutionary gradual deformation method ⋮ 3D pore space reconstruction using deep residual deconvolution networks ⋮ Reconstruction, optimization, and design of heterogeneous materials and media: basic principles, computational algorithms, and applications ⋮ 3D reconstruction of porous media using a batch normalized variational auto-encoder

Uses Software

• CUDA

Cites Work

• Unnamed Item
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• Conditional simulation of complex geological structures using multiple-point statistics
• Combining knowledge from diverse sources: An alternative to traditional data independence hypotheses
• Lagrangian simulations of unstable gravity-driven flow of fluids with variable density in randomly heterogeneous porous media
• Multiscale flow and transport model in three-dimensional fractal porous media
• Boundary conditions for the lattice Boltzmann method
• Stochastic simulation of patterns using distance-based pattern modeling

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