Advances in understanding river‐groundwater interactions

P Brunner, R Therrien, P Renard… - Reviews of …, 2017 - Wiley Online Library
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 …

Connectivity metrics for subsurface flow and transport

P Renard, D Allard - Advances in Water Resources, 2013 - Elsevier
Understanding the role of connectivity for the characterization of heterogeneous porous
aquifers or reservoirs is a very active and new field of research. In that framework …

Geological realism in hydrogeological and geophysical inverse modeling: A review

N Linde, P Renard, T Mukerji, J Caers - Advances in Water Resources, 2015 - Elsevier
Scientific curiosity, exploration of georesources and environmental concerns are pushing
the geoscientific research community toward subsurface investigations of ever-increasing …

Reconstruction, optimization, and design of heterogeneous materials and media: Basic principles, computational algorithms, and applications

M Sahimi, P Tahmasebi - Physics Reports, 2021 - Elsevier
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 …

Coupled generative adversarial and auto-encoder neural networks to reconstruct three-dimensional multi-scale porous media

R Shams, M Masihi, RB Boozarjomehry… - Journal of Petroleum …, 2020 - Elsevier
In this study, coupled Generative Adversarial and Auto-Encoder neural networks have been
used to reconstruct realizations of three-dimensional porous media. The gradient-descent …

[LLIBRE][B] Hydrogeology: groundwater science and engineering

A Dassargues - 2018 - taylorfrancis.com
This text combines the science and engineering of hydrogeology in an accessible,
innovative style. As well as providing physical descriptions and characterisations of …

A practical guide to performing multiple-point statistical simulations with the Direct Sampling algorithm

E Meerschman, G Pirot, G Mariethoz… - Computers & …, 2013 - Elsevier
The Direct Sampling (DS) algorithm is a recently developed multiple-point statistical
simulation technique. It directly scans the training image (TI) for a given data event instead of …

Porous structure reconstruction using convolutional neural networks

Y Wang, CH Arns, SS Rahman, JY Arns - Mathematical geosciences, 2018 - Springer
The three-dimensional high-resolution imaging of rock samples is the basis for pore-scale
characterization of reservoirs. Micro X-ray computed tomography (µ-CT) is considered the …

Multiple-point geostatistics-based three-dimensional automatic geological modeling and uncertainty analysis for borehole data

J Guo, Z Wang, C Li, F Li, MW Jessell, L Wu… - Natural Resources …, 2022 - Springer
The three-dimensional characterization of geological structures is important for determining
the distribution of subsurface mineral resources. However, geological structures and …

Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross sections

Q Chen, G Mariethoz, G Liu… - Hydrology and Earth …, 2018 - hess.copernicus.org
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 …