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 (2021)

DOI: 10.47148/1609-364X-2021-1 The nearest prospects of the geoinformation complex INTEGRO development Ye.N. Cheremisina, M.Ya. Finkelstein, K.V. Deyev, A.V. Muradyan … » The article describes the main directions of development of the INTEGRA geoinformation complex, as well as geological, geophysical and information problems, for the solution … Continue reading

№2 (2016)

The study of the landscape structure dynamics in the Urals Steppe oil producing territories based on GIS and satellite data.Myachina K.V. … » The author’s approach to the analysis of the landscape structure dynamics of oil producing territories in the … Continue reading

№4 (2016)

Database of seismogenic sources of southern East Siberia based on the GIS «ActiveTectonics».Gladkov A.A., Lunina O.V. … » This work is dedicated to the creation the interactive database of seismogenic source of southern East Siberia, which is part of developed … Continue reading