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Kirill Gerke
Kirill Gerke
Leading Researcher, Russian Academy of Sciences
Verified email at porenetwork.com - Homepage
Title
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Cited by
Year
Universal stochastic multiscale image fusion: an example application for shale rock
KM Gerke, MV Karsanina, D Mallants
Scientific reports 5 (1), 15880, 2015
1232015
Universal spatial correlation functions for describing and reconstructing soil microstructure
MV Karsanina, KM Gerke, EB Skvortsova, D Mallants
PloS one 10 (5), e0126515, 2015
1162015
Improving pattern reconstruction using directional correlation functions
KM Gerke, MV Karsanina, RV Vasilyev, D Mallants
Europhysics Letters 106 (6), 66002, 2014
992014
Hierarchical Optimization: Fast and Robust Multiscale Stochastic Reconstructions with Rescaled Correlation Functions
MV Karsanina, KM Gerke
Physical Review Letters 121 (26), 265501, 2018
912018
A new way to parameterize hydraulic conductances of pore elements: A step towards creating pore-networks without pore shape simplifications
X Miao, KM Gerke, TO Sizonenko
Advances in water resources 105, 162-172, 2017
892017
Improving stochastic reconstructions by weighting correlation functions in an objective function
KM Gerke, MV Karsanina
EPL (Europhysics Letters) 111 (5), 56002, 2015
892015
Tomographic method of studying soil pore space: Current perspectives and results for some Russian soils
KM Gerke, EB Skvortsova, DV Korost
Eurasian Soil Science 45, 700-709, 2012
87*2012
Finite-difference method Stokes solver (FDMSS) for 3D pore geometries: Software development, validation and case studies
KM Gerke, RV Vasilyev, S Khirevich, D Collins, MV Karsanina, ...
Computers & geosciences 114, 41-58, 2018
832018
Preferential flow mechanisms identified from staining experiments in forested hillslopes
KM Gerke, RC Sidle, D Mallants
Hydrological Processes 29 (21), 4562-4578, 2015
742015
Enhancing image resolution of soils by stochastic multiscale image fusion
MV Karsanina, KM Gerke, EB Skvortsova, AL Ivanov, D Mallants
Geoderma 314, 138-145, 2018
692018
Calculation of tensorial flow properties on pore level: Exploring the influence of boundary conditions on the permeability of three-dimensional stochastic reconstructions
KM Gerke, MV Karsanina, R Katsman
Physical Review E 100 (5), 053312, 2019
682019
The dynamic nature of crystal growth in pores
JRA Godinho, KM Gerke, AG Stack, PD Lee
Scientific Reports 6 (1), 33086, 2016
662016
Description and reconstruction of the soil pore space using correlation functions
KM Gerke, MV Karsanina, EB Skvortsova
Eurasian soil science 45, 861-872, 2012
56*2012
Going submicron in the precise analysis of soil structure: A FIB-SEM imaging study at nanoscale
KM Gerke, EV Korostilev, KA Romanenko, MV Karsanina
Geoderma 383, 114739, 2021
452021
Improving watershed-based pore-network extraction method using maximum inscribed ball pore-body positioning
KM Gerke, TO Sizonenko, MV Karsanina, EV Lavrukhin, VV Abashkin, ...
Advances in water resources 140, 103576, 2020
452020
Determining physical properties of unconventional reservoir rocks: from laboratory methods to pore-scale modeling
KM Gerke, RV Vasilyev, DV Korost, MV Karsanina, NS Balushkina, ...
SPE Asia Pacific Unconventional Resources Conference and Exhibition, SPE …, 2013
332013
Criteria for selecting fluorescent dye tracers for soil hydrological applications using Uranine as an example
KM Gerke, RC Sidle, D Mallants
Journal of Hydrology and Hydromechanics 61 (4), 313-325, 2013
302013
How pore structure non‐stationarity compromises flow properties representativity (REV) for soil samples: Pore‐scale modelling and stationarity analysis
K Gerke, M Karsanina
European Journal of Soil Science, 2020
282020
Compressing soil structural information into parameterized correlation functions
MV Karsanina, EV Lavrukhin, DS Fomin, AV Yudina, KN Abrosimov, ...
European Journal of Soil Science 72 (2), 561-577, 2021
272021
Assessing the fidelity of neural network-based segmentation of soil XCT images based on pore-scale modelling of saturated flow properties
EV Lavrukhin, KM Gerke, KA Romanenko, KN Abrosimov, MV Karsanina
Soil and Tillage Research 209, 104942, 2021
262021
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