River‐groundwater interactions are at the core of a wide range of major contemporary
challenges, including the provision of high‐quality drinking water in sufficient quantities, the …

Scientific curiosity, exploration of georesources and environmental concerns are pushing
the geoscientific research community toward subsurface investigations of ever-increasing …

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

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 …

Channel-levee systems are frequently interpreted as having a long history of cut-and-fill by
channel-shaped features of different scales. Results from a simple geometric model based …

This study investigates the integration of machine learning (ML) and data assimilation (DA)
techniques, focusing on implementing surrogate models for Geological Carbon Storage …

Accurately modeling and constructing a geologically realistic subsurface model remains an
outstanding problem as the morphology controls the flow behaviors. Particularly, one of the …

Multiple-point statistics (MPS) has shown promise in representing complicated subsurface
structures. For a practical three-dimensional (3-D) application, however, one of the critical …

Building geometrically realistic representations of geological heterogeneity in reservoir
models is a challenging task that is limited by the inflexibility of pre-defined pillar or …

This series addresses a fundamental issue in multiple‐point statistical (MPS) simulation for
generation of realizations of large‐scale porous media. Past methods suffer from the fact that …