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 …
H Chen, H Zhou, Q Zhang, M Xia, Q Li - Geophysics, 2016 - library.seg.org
Two staggered-grid finite-difference (SGFD) schemes with fourth-and sixth-order accuracies in time have been developed recently based on new SGFD stencils. The SGFD coefficients …
Z Wang, J Li, B Wang, Y Xu, X Chen - Journal of Computational Physics, 2018 - Elsevier
Based on the existing cell-node and cell-centered compact finite difference schemes, we developed a new central compact scheme with a high spectral resolution for the acoustic …
H Chen, H Zhou, S Sheng - Journal of Applied Geophysics, 2016 - Elsevier
We develop the general rectangular grid discretization based time-space domain high-order staggered-grid finite-difference (SGFD) methods for modeling three-dimension (3D) scalar …
H Zhou, Y Liu, J Wang - Exploration Geophysics, 2021 - Taylor & Francis
Using orthogonal-octahedron finite-difference (FD) stencils, even-order accuracy for temporal and spatial derivatives can be reached for 3D acoustic wave equation modelling …
E Gondyul, K Gadylshin, V Lisitsa… - … on Computational Science …, 2024 - Springer
The paper discusses the extension of NDM-net (Numerical Dispersion Mitigation neural network) to pseudo-3D cases and the construction of training datasets. NDM-net is initially …
Finite difference is a well-suited technique for modeling acoustic wave propagation in heterogeneous media as well as for imaging and inversion. Typically, the method aims at …
H Chen*, H Zhou, Q Zhang, Q Zhang - SEG Technical Program …, 2015 - library.seg.org
Two staggered-grid finite-difference (SGFD) methods with fourth-and sixth-order accuracy in time have been developed recently based on two new SGFD stencils. The SGFD coefficients …