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 …

Stochastic image reconstruction is a key part of modern digital rock physics and material
analysis that aims to create representative samples of microstructures for upsampling …

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 …

Multi-point geostatistics has been widely used, but it involves many parameters when
applying the method. These modeling parameters are usually sensitive to the quality of the …

Abstract Characterization of complex subsurface structures is challenging due to the
demand to preserve geological realism of the training images in earth and environmental …

Multiple-point geostatistics enable the realistic simulation of complex spatial structures by
inferring statistics from a training image. These methods are typically computationally …

Identification of groundwater contaminant sources in a highly-heterogenous geosystems
results in a high-dimensional inverse problem and is often solved based on a surrogate …

The geostatistics stimulation method, as an important tool in subsurface modeling, is crucial
for hydrocarbon reservoir characterization. Using geostatistical methods to reproduce …

One of the main issues in the application of statistical‐learning‐based methods to the
characterization of hydrological phenomena is the complex parameterization of the high …