Numerical modelling of reservoir at pore scale: a comprehensive review

DOI10.1016/j.jcp.2022.111680OpenAlexW4303438495MaRDI QIDQ2099732

Yu-Zhu Wang, Sheik S. Rahman

Publication date: 18 November 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2022.111680

zbMATH Keywords

reservoir characterizationnumerical modellingporous structure reconstruction

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Inference from stochastic processes (62Mxx) Geophysics (86Axx)

Uses Software

• ImageNet
• AlexNet

Cites Work

• Unnamed Item
• Filter-based classification of training image patterns for spatial simulation
• Threshold accepting: A general purpose optimization algorithm appearing superior to simulated annealing
• Multiple-point simulations constrained by continuous auxiliary data
• New optimization heuristics. The great deluge algorithm and the record- to-record travel
• Simulated annealing: Practice versus theory
• Porous structure reconstruction using convolutional neural networks
• Conditional simulation of complex geological structures using multiple-point statistics
• Elastic properties of a tungsten-silver composite by reconstruction and computation.
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• MODELLING A FOOD MICROSTRUCTURE BY RANDOM SETS
• Equation of State Calculations by Fast Computing Machines
• Higher Order Models using Entropy, Markov Random Fields and Sequential Simulation
• Flow in simulated porous media
• Random heterogeneous materials. Microstructure and macroscopic properties

This page was built for publication: Numerical modelling of reservoir at pore scale: a comprehensive review