Effect of CT image size and resolution on the accuracy of rock property estimates
Y Bazaikin, B Gurevich, S Iglauer… - Journal of …, 2017 - Wiley Online Library
In order to study the effect of the micro‐CT scan resolution and size on the accuracy of
upscaled digital rock property estimation of core samples Bentheimer sandstone images …
upscaled digital rock property estimation of core samples Bentheimer sandstone images …
Grid-characteristic method using Chimera meshes for simulation of elastic waves scattering on geological fractured zones
N Khokhlov, A Favorskaya, V Stetsyuk… - Journal of Computational …, 2021 - Elsevier
Geological fracture zones play an important role in determining the amount of deposits in oil
and gas fields. In practice, for modeling wave scattering in fractured zones, numerical …
and gas fields. In practice, for modeling wave scattering in fractured zones, numerical …
Compact grid-characteristic scheme for the acoustic system with the piece-wise constant coefficients
V Golubev, A Shevchenko, N Khokhlov… - … Journal of Applied …, 2022 - World Scientific
This paper considers numerical simulation of acoustic waves in heterogeneous two-
dimensional (2D) media by the grid-characteristic method. We present a novel high-order …
dimensional (2D) media by the grid-characteristic method. We present a novel high-order …
Raising convergence order of grid-characteristic schemes for 2D linear elasticity problems using operator splitting
VI Golubev, AV Shevchenko, IB Petrov - Computer Research and …, 2022 - mathnet.ru
VI Golubev, AV Shevchenko, IB Petrov, “Raising convergence order of grid-characteristic schemes
for 2D linear elasticity problems using operator splitting”, Computer Research and Modeling …
for 2D linear elasticity problems using operator splitting”, Computer Research and Modeling …
Numerical dispersion mitigation neural network for seismic modeling
K Gadylshin, D Vishnevsky, K Gadylshina, V Lisitsa - Geophysics, 2022 - library.seg.org
We have developed a novel approach for seismic modeling combining conventional finite
differences with deep neural networks. The method includes the following steps. First, a …
differences with deep neural networks. The method includes the following steps. First, a …
Grid-characteristic method on overlapping curvilinear meshes for modeling elastic waves scattering on geological fractures
NI Khokhlov, A Favorskaya, V Furgailo - Minerals, 2022 - mdpi.com
Interest in computational methods for calculating wave scattering from fractured geological
clusters is due to their application in processing and interpreting the data obtained during …
clusters is due to their application in processing and interpreting the data obtained during …
[HTML][HTML] Semi-analytical hybrid approach for the simulation of layered waveguide with a partially debonded piezoelectric structure
MV Golub, AN Shpak - Applied Mathematical Modelling, 2019 - Elsevier
This paper presents an efficient semi-analytical hybrid approach for simulating the dynamic
interaction of perfectly bonded or damaged piezoelectric structures with a layered elastic …
interaction of perfectly bonded or damaged piezoelectric structures with a layered elastic …
Novel approach to modeling the seismic waves in the areas with complex fractured geological structures
N Khokhlov, P Stognii - Minerals, 2020 - mdpi.com
This paper presents a novel approach to modeling the propagation of seismic waves in a
medium containing subvertical fractured inhomogeneities, typical for mineralization zones …
medium containing subvertical fractured inhomogeneities, typical for mineralization zones …
Time-space-domain mesh-free finite difference based on least squares for 2D acoustic-wave modeling
Finite-difference (FD) methods approximate derivatives through a weighted summation of
function values from neighboring nodes. Traditionally, these neighboring nodes are …
function values from neighboring nodes. Traditionally, these neighboring nodes are …
Hausdorff-distance-based training dataset construction for numerical dispersion mitigation neural network
K Gadylshin, V Lisitsa, D Vishnevsky… - Computers & …, 2023 - Elsevier
We present a novel approach for constructing the training dataset for the Numerical
Dispersion Mitigation neural network (NDM-net). The NDM-net is a multi-step approach to …
Dispersion Mitigation neural network (NDM-net). The NDM-net is a multi-step approach to …