[HTML][HTML] Simulation of conditional non-Gaussian random fields with directional asymmetry

S Hörning, A Bárdossy - Spatial Statistics, 2025 - Elsevier
Observed environmental are usually the results of physical, chemical, or biological
processes. These processes often introduce asymmetries which should be considered when …

Efficient computation on large regular grids of higher-order spatial statistics via fast fourier transform

D Lauzon, S Hörning - Computers & Geosciences, 2025 - Elsevier
The complex spatial structures of natural variables are often caused by geological,
physicochemical, meteorological, and biological processes that have shaped the …

Joint hydrofacies-hydraulic conductivity modeling based on a constructive spectral algorithm constrained by transient head data

D Lauzon, D Marcotte - Hydrogeology Journal, 2023 - Springer
A constructive spectral method is presented to jointly calibrate hydrofacies and hydraulic
conductivity to transient pressure heads. The method iteratively constructs Gaussian random …

Stochastic correlated hydraulic conductivity tensor calibration using gradual deformation

N Benoit, D Marcotte, J Molson - Journal of Hydrology, 2021 - Elsevier
Quasi-point hydraulic properties (K) measured locally under laboratory or field conditions
need to be upscaled to block-scale K-tensors for use in flow simulators. The upscaled model …

Statistical comparison of variogram-based inversion methods for conditioning to indirect data

D Lauzon, D Marcotte - Computers & Geosciences, 2022 - Elsevier
This study compared the performance of five variogram-based calibration approaches for
five different geological problems. The geostatistical calibration methods studied were the …

Calibration of random fields by a sequential spectral turning bands method

D Lauzon, D Marcotte - Computers & geosciences, 2020 - Elsevier
A new algorithm for calibration of conditional realizations to measured or desired response
functions is presented. The Sequential-Spectral Turning Bands Method (S-STBM) builds the …

Conditional stochastic inversion of common-offset ground-penetrating radar reflection data

Z Xu, J Irving, Y Liu, P Zhu, K Holliger - Geophysics, 2021 - library.seg.org
We have developed a stochastic inversion procedure for common-offset ground-penetrating
radar (GPR) reflection measurements. Stochastic realizations of subsurface properties that …

Conditional simulation of surface rainfall fields using modified phase annealing

J Yan, A Bárdossy, S Hörning… - Hydrology and Earth …, 2020 - hess.copernicus.org
The accuracy of quantitative precipitation estimation (QPE) over a given region and period is
of vital importance across multiple domains and disciplines. However, due to the intricate …

Estimating porosity distribution of a heterogeneous alluvial aquifer by GPU-accelerated 3D conditional stochastic inversion of common-offset GPR reflection data

Z Xu, P Zhu, Y Liu, S Guo, Z Liao - Journal of Hydrology, 2023 - Elsevier
Abstract Three-dimensional (3D) high-resolution and accurate characterization of the
heterogeneity in an alluvial aquifer is critical to predicting the groundwater flow and …

The sequential spectral turning band simulator as an alternative to Gibbs sampler in large truncated-or pluri-Gaussian simulations

D Lauzon, D Marcotte - Stochastic environmental research and risk …, 2020 - Springer
Abstract The Sequential Spectral Turning Bands Method (S-STBM) builds Gaussian random
fields (GRF) calibrated to desired response functions. An interesting application of S-STBM …