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 …

[HTML][HTML] A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications

F Zakeri, G Mariethoz - Remote Sensing of Environment, 2021 - Elsevier
Despite an ever-increasing number of spaceborne, airborne, and ground-based data
acquisition platforms, remote sensing data are still often spatially incomplete or temporally …

A core logging, machine learning and geostatistical modeling interactive approach for subsurface imaging of lenticular geobodies in a clastic depositional system, SE …

U Ashraf, H Zhang, A Anees, HN Mangi, M Ali… - Natural Resources …, 2021 - Springer
Facies models are essential tools for imaging subsurface geobodies and for reducing
exploration and development risks efficiently. The Lower Goru Formation is one of the …

Stochastic simulation of geological cross-sections from boreholes: a random field approach with Markov Chain Monte Carlo method

HQ Yang, J Chu, X Qi, S Wu, K Chiam - Engineering Geology, 2023 - Elsevier
A reliable geological cross-section is essential to the design and risk assessment of
underground structures. Random fields are commonly employed to model geological …

[HTML][HTML] Truncated Gaussian and derived methods

H Beucher, D Renard - Comptes Rendus Geoscience, 2016 - Elsevier
The interest of a digital model to represent the geological characteristics of the field is well
established. However, the way to obtain it is not straightforward because this translation is …

Truncated plurigaussian simulations to characterize aquifer heterogeneity

G Mariethoz, P Renard, F Cornaton, O Jaquet - Groundwater, 2009 - Wiley Online Library
Integrating geological concepts, such as relative positions and proportions of the different
lithofacies, is of highest importance in order to render realistic geological patterns. The …

Identification of geochemical anomalies through combined sequential Gaussian simulation and grid-based local singularity analysis

J Wang, R Zuo - Computers & Geosciences, 2018 - Elsevier
Local singularity analysis (LSA) has been proven to be an effective tool for identifying weak
geochemical anomalies. The common practice of grid-based LSA is to firstly interpolate …

Estimation of hydraulic conductivity and porosity of a heterogeneous porous aquifer by combining transition probability geostatistical simulation, geophysical survey …

V Amiri, N Sohrabi, P Li, S Shukla - Environment, Development and …, 2023 - Springer
As the first attempt in Iran, the combination of electrical resistivity measurement of
groundwater and aquifer matrix with pumping tests and stochastic modeling of hydrofacies …

Comparative approaches to probabilistic finite element methods for slope stability analysis

AP Dyson, A Tolooiyan - Simulation Modelling Practice and Theory, 2020 - Elsevier
Probabilistic slope stability analyses are often preferable to deterministic methods when
soils are inherently heterogeneous, or the reliability of geotechnical parameters is largely …

[HTML][HTML] Geostatistical modeling of heterogeneous geo-clusters in a copper deposit integrated with multinomial logistic regression: An exercise on resource estimation

N Madani, M Maleki, S Soltani-Mohammadi - Ore Geology Reviews, 2022 - Elsevier
Resource estimation is the main and primary step in the development of a mining project.
Principally, it is necessary to first identify the geological domains through boreholes, model …