Development of a methodology for empirical scientific research using standard libraries of automatic machine learning on the example of predicting oil and gas reservoirs in the Tomsk Region

№1 (2024) Vladimir A. Ostanin УДК 004.89, 550.8.05, 167.7 https://doi.org/10.47148/1609-364X-2024-1-4-18 Key words: interpretation of geophysical data, design of geological exploration works for oil and gas, design of oil and gas field development, automatic machine learning, AutoML, AI, autokeras, SHAP, LIME … Continue reading

№1 (2019)

«Metallogeny» geoportal.Tkachev A.V., Bulov S.V., Chesalova E.I. … » The «Metallogeny» geoportal is a key element of a spatial data infrastructure node being created in Vernadsky’s SGM RAS. Currently, the geoportal provides an organized access to a metadata catalog, interactive … Continue reading

№4 (2019)

Optimization of the initial data division for prediction chromium spatial distribution by a feedforward neural network.Buevich A.G., Sergeev A.P., Rakhmatova A.Yu., Baglaeva E.M., Shichkin A.V., Subbotina I.E., Sergeeva M.V., Markelov Yu.I. … » The article proposes an approach to optimize … Continue reading