Three Geostatistical Methods for Hydrofacies Simulation Ranked Using a Large Borehole Lithology Dataset from the Venice Hinterland (NE Italy)-Reference-Cited by-同舟云学术

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Three Geostatistical Methods for Hydrofacies Simulation Ranked Using a Large Borehole Lithology Dataset from the Venice Hinterland (NE Italy)

Published:2018-06-25 Issue:7 Volume:10 Page:844
ISSN:2073-4441
Container-title:Water
language:en
Short-container-title:Water

Author:

Marini Mattia,Felletti Fabrizio,Beretta Giovanni,Terrenghi Jacopo

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Link

http://www.mdpi.com/2073-4441/10/7/844/pdf

Reference38 articles.

1. Simulation of Fine-Scale Heterogeneity of Meandering River Aquifer Analogues: Comparing Different Approaches

2. Comparison of three geostatistical methods for hydrofacies simulation: a test on alluvial sediments

3. A database approach for constraining stochastic simulations of the sedimentary heterogeneity of fluvial reservoirs

4. Models for guiding and ranking well-to-well correlations of channel bodies in fluvial reservoirs

5. Hierarchical simulation of aquifer heterogeneity: implications of different simulation settings on solute-transport modeling

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1. Stratigraphic Influence on the Groundwater Dynamics in a Salt-contaminated Phreatic Aquifer at the Southern Margin of the Venice Lagoon, Italy;Rendiconti Online della Società Geologica Italiana;2023-11

2. Three-dimensional hydrogeological parametrization using sparse piezometric data;Hydrology and Earth System Sciences;2022-12-08

3. Improving the 3D facies model with the seismic-derived log volumes: a case study from the Asmari Formation in the Hendijan Field, southwest Iran;Journal of Geophysics and Engineering;2022-09-20

4. A variability aware GAN for improving spatial representativeness of discrete geobodies;Computers & Geosciences;2022-09

5. Estimation of hydraulic conductivity and porosity of a heterogeneous porous aquifer by combining transition probability geostatistical simulation, geophysical survey, and pumping test data;Environment, Development and Sustainability;2022-05-02

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