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 …

Heterogeneity can be dealt with by defining homogeneous equivalent properties, known as
averaging, or by trying to describe the spatial variability of the rock properties from geologic …

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 …

Dynamic optimization of waterflooding using optimal control theory has significant potential
to increase ultimate recovery, as has been shown in various studies. However, optimal …

An entirely new approach to stochastic simulation is proposed through the direct simulation
of patterns. Unlike pixel-based (single grid cells) or object-based stochastic simulation …

In this work, switching dynamics of poly (vinylidene fluoride-trifluoroethylene)[P (VDF-TrFE)]
copolymer films are investigated over unprecedentedly wide ranges of temperature and …

Among the techniques used to simulate categorical variables, multiple-point statistics is
becoming very popular because it allows the user to provide an explicit conceptual model …

Reconstruction of three-dimensional (3D) porous media from a single two-dimensional (2D)
image or limited morphological information has been an outstanding problem. Specifically …

Flow in a reservoir is mostly controlled by the connectivity of extreme permeabilities (both
high and low) which are generally associated with marked, multiple-scale geological …

Training image‐based approaches for stochastic simulations have recently gained attention
in surface and subsurface hydrology. This family of methods allows the creation of multiple …