This study investigates generative adversarial networks (GANs)'capacity to model multi-
facies distributions of meandering systems. Earlier works showed that GANs outperform …

Fluvial point-bar deposits are described from the c. 1 Ga Diabaig Formation, representing
some of the most compelling architectural evidence of planform sinuosity recognized in pre …

Groundwater is the primary source of water in the Bengal Delta but contamination threatens
this vital resource. In deltaic environments, heterogeneous sedimentary architecture controls …

Abstract The GAN River-I data set is designed to provide a stern test for machine learning
and geostatistical tools that wish to recreate the complex geometries of realistic facies …

Situating prehistoric sites in their past environment helps us to understand their functionality
and the organization of early sedentary human societies. However, this is a challenge as the …

This paper presents an alternative way of simulating 3D facies models using conditional
generative adversarial networks (GANs) by reconstructing the 3D volume upward with …

River classification is a necessary starting point for understanding river ecosystems and
developing management guidelines. Using GIS to analyse an Andean river basin, we …

Channel kinematics play a pivotal but underappreciated role in determining submarine
meandering channel stacking patterns. A stratigraphic forward model is here applied to …

The simulation of geological facies in an unobservable volume is essential in various
geoscience applications. Given the complexity of the problem, deep generative learning is a …

A sequential Monte Carlo method, called particle filtering, has been used in a spatial context
to produce simulations of two reservoir models that respect the observed facies at wells. The …