Lithology prediction in the subsurface by artificial neural networks on well and 3D seismic data in clastic sediments: a stochastic approach to a deterministic method

DOI10.1007/S13137-020-0145-3zbMath1431.86018OpenAlexW3005621657MaRDI QIDQ2300568

Iva Kolenković Močilac, Ana Kamenski, Bruno Saftić, Marko Cvetković

Publication date: 27 February 2020

Published in: GEM - International Journal on Geomathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13137-020-0145-3

zbMATH Keywords

probabilityartificial neural networksstochasticsgeological modellinglithologyPannonian Basin

Mathematics Subject Classification ID

Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08) Geological problems (86A60)

Cites Work

• Foreign-exchange-rate forecasting with artificial neural networks
• Advanced Mapping of Environmental Data
• An Introduction to Statistical Learning
• A logical calculus of the ideas immanent in nervous activity
• The origins of kriging

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