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 …

Despite an ever-increasing number of spaceborne, airborne, and ground-based data
acquisition platforms, remote sensing data are still often spatially incomplete or temporally …

This third edition offers a comprehensive overview of the latest theories on flow, transport,
and heat-exchange processes in porous media. It also details sophisticated porous media …

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 …

The advent of multiple-point geostatistics (MPS) gave rise to the integration of complex
subsurface geological structures and features into the model by the concept of training …

The main motivation for writing this book is to report on an existing repertoire of geostatistical
methods for handling the integration of geophysical information in reservoir modeling and …

A new low-dimensional parameterization based on principal component analysis (PCA) and
convolutional neural networks (CNN) is developed to represent complex geological models …

Geostatistical modeling is one of the most important tools for building an ensemble of
probable realizations in earth science. Among them, multiple-point statistics (MPS) has …

Recent advances in sensor technologies, field methodologies, numerical modeling, and
inversion approaches have contributed to unprecedented imaging of hydrogeological …

Conventional approaches to estimating reserves, optimizing mine planning, and production
forecasting result in single, and often biased, forecasts. This is largely due to the non-linear …