Reconstruction, optimization, and design of heterogeneous materials and media: Basic principles, computational algorithms, and applications

M Sahimi, P Tahmasebi - Physics Reports, 2021 - Elsevier
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

On the spatio-temporal dynamics of soil moisture at the field scale

H Vereecken, JA Huisman, Y Pachepsky, C Montzka… - Journal of …, 2014 - Elsevier
In this paper, we review the state of the art of characterizing and analyzing spatio-temporal
dynamics of soil moisture content at the field scale. We discuss measurement techniques …

The direct sampling method to perform multiple‐point geostatistical simulations

G Mariethoz, P Renard… - Water Resources …, 2010 - Wiley Online Library
Multiple‐point geostatistics is a general statistical framework to model spatial fields
displaying a wide range of complex structures. In particular, it allows controlling connectivity …

Multiple-point geostatistical modeling based on the cross-correlation functions

P Tahmasebi, A Hezarkhani, M Sahimi - Computational Geosciences, 2012 - Springer
An important issue in reservoir modeling is accurate generation of complex structures. The
problem is difficult because the connectivity of the flow paths must be preserved. Multiple …

Prediction of permeability for porous media reconstructed using multiple-point statistics

H Okabe, MJ Blunt - Physical Review E—Statistical, Nonlinear, and Soft …, 2004 - APS
To predict multiphase flow through geologically realistic porous media, it is necessary to
have a three-dimensional (3D) representation of the pore space. We use multiple-point …

Quantitative visualization methods for continuous evolution of three-dimensional discontinuous structures and stress field in subsurface rock mass induced by …

Y Ju, Z Ren, J Zheng, F Gao, L Mao, F Chiang… - Engineering Geology, 2020 - Elsevier
Discontinuous structures such as pores, fractures, joints, and faults govern the physical and
mechanical behavior of subsurface rock masses in underground engineering applications …

Pore space reconstruction using multiple-point statistics

H Okabe, MJ Blunt - Journal of petroleum science and engineering, 2005 - Elsevier
The reconstruction of porous media is of great interest in a wide variety of fields, including
earth science and engineering, biology, and medicine. To predict multiphase flow through …

K-means clustering using principal component analysis to automate label organization in multi-attribute seismic facies analysis

EB Troccoli, AG Cerqueira, JB Lemos, M Holz - Journal of Applied …, 2022 - Elsevier
The use of unsupervised machine learning methods such as K-means, Hierarchical
Agglomerative Clustering, and Self-organizing maps is constantly increasing in seismic …

History matching under training-image-based geological model constraints

J Caers - SPE journal, 2003 - onepetro.org
History matching forms an integral part of the reservoir modeling workflow process. Despite
the existence of many history-matching tools, the integration of production data with seismic …

Pore space reconstruction of vuggy carbonates using microtomography and multiple‐point statistics

H Okabe, MJ Blunt - Water Resources Research, 2007 - Wiley Online Library
To reconstruct complex porous media, such as carbonates, we propose a two‐step
approach to combine different types of images: microtomography at the resolution of a few …