32 citations · 60 across the 4 of their papers we have counts for
4 papers
Quantitative analysis of dynamic CT imaging of methane-hydrate formation with a hybrid machine learning approach
Mikhail I. Fokin, Viktor V. Nikitin, Anton A. Duchkov
Fast multi-phase processes in methane hydrate-bearing samples are challenging for micro-CT quantitative study because of complex tomographic data analysis involving time-consuming…
Neural Eikonal Solver: improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics
Serafim Grubas, Anton Duchkov, Georgy Loginov
The concept of physics-informed neural networks has become a useful tool for solving differential equations due to its flexibility. There are a few approaches using this concept to…
Dynamic in-situ imaging of methane hydrate formation and self-preservation
Viktor V. Nikitin, Geser A. Dugarov, Anton A. Duchkov +5
We present the results of dynamic in-situ 3D X-ray imaging of methane hydrates microstructure during methane hydrate formation and decomposition in sand samples. Short scanning tim…
Fast hyperbolic Radon transform represented as convolutions in log-polar coordinates
Viktor V. Nikitin, Fredrik Andersson, Marcus Carlsson +1
The hyperbolic Radon transform is a commonly used tool in seismic processing, for instance in seismic velocity analysis, data interpolation and for multiple removal. A direct imple…