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 …

[PDF][PDF] Comparison of three geostatistical methods for hydrofacies simulation: a test on alluvial sediments

D Dell'Arciprete, R Bersezio, F Felletti… - Hydrogeology …, 2012 - researchgate.net
The hydrodispersive properties of porous sediments are strongly influenced by the
heterogeneity at fine scales, which can be modeled by geostatistical simulations. In order to …

[图书][B] Arsenic in groundwater: poisoning and risk assessment

MM Hassan - 2018 - taylorfrancis.com
Arsenic-contaminated groundwater is considered one of the world's largest environmental
health crises, as more than 300 million people in more than one-third of countries worldwide …

Uncertainty Quantification in Mineral Resource Estimation

OT Lindi, AE Aladejare, TM Ozoji, JP Ranta - Natural Resources Research, 2024 - Springer
Mineral resources are estimated to establish potential orebody with acceptable quality
(grade) and quantity (tonnage) to validate investment. Estimating mineral resources is …

Prior geological knowledge enhanced Markov random field for development of geological cross-sections from sparse data

Z Qian, C Shi - Computers and Geotechnics, 2024 - Elsevier
Qualified subsurface geological cross-sections are indispensable for efficient site planning
and risk management of underground infrastructure. Nevertheless, delineating a qualified …

Stochastic modeling of groundwater drawdown response induced by tunnel drainage

C Gokdemir, Y Li, Y Rubin, X Li - Engineering Geology, 2022 - Elsevier
Tunnel designers persistently experience issues regarding the impact of tunnel drainage on
groundwater that can affect the safety of tunnels. From an environment-oriented approach …

Modeling lateral facies heterogeneity of an upper Oligocene carbonate ramp (Salento, southern Italy)

L Tomassetti, L Petracchini, M Brandano… - Marine and Petroleum …, 2018 - Elsevier
The aim of this work is to reproduce a metre-scale facies heterogeneity 3D model of the
Chattian Porto Badisco Calcarenite carbonate ramp outcropping in the Salento Peninsula …

Modeling complex geological structures with elementary training images and transform‐invariant distances

G Mariethoz, BFJ Kelly - Water Resources Research, 2011 - Wiley Online Library
We present a new framework for multiple‐point simulation involving small and simple
training images. The use of transform‐invariant distances (by applying random …

Grade and tonnage uncertainty analysis of an African copper deposit using multiple-point geostatistics and sequential Gaussian simulation

A Paithankar, S Chatterjee - Natural Resources Research, 2018 - Springer
Spatial uncertainty analysis is a complex and difficult task for orebody estimation in the
mining industry. Conventional models (kriging and its variants) with variogram-based …

[HTML][HTML] 3D geo-cellular static virtual outcrop model and its implications for reservoir petro-physical characteristics and heterogeneities

M Usman, NA Siddiqui, SQ Zhang, MJ Mathew… - Petroleum Science, 2021 - Elsevier
Geostatistical data plays a vibrant role for surface-based reservoir modeling through outcrop
analogues, which is used to understand three-dimensional (3D) variability of petrophysical …