ovcharenkoo

Oleg Ovcharenko's repositories

WaveProp_in_MATLAB

Single-file implementations of 2D and 3D acoustic and elastic wave propagation in time domain using finite-differences(FDTD). Simple formulation and implementation

Language:MATLABMIT85 6 4

CUDA_FDTD_2D_acoustic_wave_propagation

Acoustic wave propagation in 2D domain using CUDA, O(2,8). Solve second order wave equation in time domain using finite-differences.

Language:CudaMIT26 20

mtl_low

Multi-task learning for low-frequency extrapolation and elastic model building

Language:Jupyter Notebook15 2 2

geo-style-keras

Neural style transfer applied to elastic subsurface models [SEG19]. Visualized and explained.

Language:Jupyter NotebookMIT14 30

PETSc_FDTD_3D_acoustic_wave_propagation

3D acoustic wave propagation in homogeneous isotropic media using PETSc and Krylov space method

Language:CMIT14 20

matlab_seismic_cpml_iso_2d_curvil

Boundary-fitting curvilinear grid instead of cartesian

Language:MATLAB3 10

vsp2ssp

Converts VSP (receivers in a well) seismic data to SSP (virtual receivers on the surface) by correlation.

Language:MATLABMIT2 10

ASOFI3D

Anisotropic seismic modeling in time domain.

Language:CGPL-2.0100

DENISE-Black-Edition

2D time-domain isotropic (visco)elastic FD modeling and full waveform inversion (FWI) code for P/SV-waves

Language:Jupyter NotebookGPL-2.0100

OptimallyAccurate2D

Language:Fortran1 10

ovcharenkoo.github.io

Personal website of Oleg Ovcharenko

Language:HTMLNOASSERTION1 10

wrox-pro-cuda-c

Sample code from the book "Professional CUDA C Programming"

Language:CudaMIT100

curvil_grid_example

Just creates distorted grid and it's undeformeg analog, and calculates Jacobian in each point

Language:Matlab010

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

000