In the development of unconventional shale play, simulation of the performance for wells
needs to incorporate sufficient complexity in geology to take fully into account the …

A fundamental decision to make during the analysis of geostatistical data is the modeling of
the spatial dependence structure as stationary or non-stationary. Although second-order …

Abstract Three-dimensional (3D) geological modeling from limited and scattered information
is essential for engineering geological investigation and design. Previous studies have …

In this study, the geographically weighted regression (GWR) model is adapted to benefit
from a broad range of distance metrics, where it is demonstrated that a well-chosen distance …

Geostatistical methods are widely used in almost all geoscientific disciplines, ie for
interpolation, re-scaling, data assimilation or modelling. At its core geostatistics aims to …

To ensure the effectiveness of fracturing treatment and improve the production reserves of
individual wells, it is important to accurately predict the in situ stress distribution to prevent …

Subglacial topography is an important feature in numerous ice-sheet analyses and can drive
the routing of water at the bed. Bed topography is primarily measured with ice-penetrating …

The spatial description of high-resolution extreme daily rainfall fields is challenging because
of the high spatial and temporal variability of rainfall, particularly in tropical regions due to …

Reconstructing a free-form surface from 3-dimensional (3D) noisy measurements is a central
problem in inspection, statistical quality control, and reverse engineering. We present a new …

Intense industrial activities and complex hydrogeological conditions at contaminated sites
make accurate three-dimensional (3D) mapping challenging. The cause is the non …