Geological fractures detection by methods of machine learning

DOI10.1134/S1995080220040150zbMath1445.68192OpenAlexW3045887490MaRDI QIDQ2206652

V. A. Biryukov, M. V. Muratov, Igor B. Petrov

Publication date: 28 October 2020

Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1995080220040150

zbMATH Keywords

neural networkinverse problemsmathematical modelingmachine learningexploration seismologygrid-characteristic methodfractured media

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Seismology (including tsunami modeling), earthquakes (86A15) Geophysical solid mechanics (74L05) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32) Geological problems (86A60)

Cites Work

• Применение сеточно-характеристического метода в решении прямых задач сейсморазведки трещиноватых пластов (обзорная статья)
• Unnamed Item

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