A neural network algorithm for high-precision prediction of deep temperature using seismic data

№2 (2026) Spichak V.V., Zakharova O.K. УДК 550.361+550.34.01 https://doi.org/10.47148/1609-364X-2026-2-34-44 Key words: temperature, seismic wave velocity, prediction, geothermometer, artificial neural network Section: Modeling geo objects and geo-processes

Facies classification of pokur formation deposits using Python coding

№2 (2026) Kazaryan A.A., Praia E.D., Vakhitova G.R. УДК 550.8.072 https://doi.org/10.47148/1609-364X-2026-2-25-33 Key words: facies modeling, Python, Pokur suite, clastic deposits, lithological characteristics, heterogeneous reservoir, section anisotropy Section: Modeling geo objects and geo-processes

Assessment of swampiness of river basins in the Tomsk region (Russian Federation) when solving hydrological and geoecological problems

№ 2 (2025) Savichev O.G. УДК 551.312.2https://doi.org/10.47148/1609-364X-2025-2-13-25 Key words: swamps; wetlands; boundaries of swamps; Western Siberia; taiga region Section: Modeling geo objects and geo-processes

Optimization problem of determining the cargo structure of transportation on ice routes based on the assessment of the cargo capacity of the ice cover

№ 2 (2025) Istomin E.P., Petrov Y.A., Martyn I.A. УДК 004.9https://doi.org/10.47148/1609-364X-2025-2-4-12 Key words: mathematical modeling; optimization; ice carrying capacity; ice transportation; Arctic. Section: Modeling geo objects and geo-processes

Determination of dynamic and kinematic characteristics of converted waves under conditions of horizontal boundaries

№1 (2025) Rok V.E., Kaplan S.A. УДК 550.8.056 https://doi.org/10.47148/1609-364X-2025-1-35-49 Key words: multiwave seismics; converted waves; traveltime curves; computer algebra systems (CAS) Section: Modeling geo objects and geo-processes

Episodes of high correlation of the annual numbers of earthquakes and the slops of the earthquake recurrence graphs of the Baikal Region

№1 (2025) Kakourova A.A., Dem’yanovich V.M., Klyuchevskaya A.A., Dzhurik V.I., Bryzhak E.V. УДК 550.34.042(4+43) https://doi.org/10.47148/1609-364X-2025-1-22-34 Key words: Baikal rift system; earthquakes; slope of earthquake recurrence graph; seismicity, seismic process; number of earthquakes. Section: Modeling geo objects and geo-processes

Identification of lineaments in the Laptev Sea region by geomorphometric methods: application to seismic hazard assessment

№4 (2024) Libina N.V., Krylov A.A., Rukavishnikova D.D., Kovachev S.A., Baranov B.V. УДК 551.4.08, 550.83.016, 550.343.4 https://doi.org/10.47148/1609-364X-2024-4-70-82 Key words: lineament analysis; shadow analysis; relief curvature; Laptev Sea; seismic hazard assessment; model of earthquake source zones; seismic lineaments. Section: Modeling geo … Continue reading →

Features of the use of neural network technology for recognizing graphic images of thermokarst objects

№4 (2024) Zhebsain V.V., Gololobov A.Yu., Basharin N.U., Poselsky A.F. УДК 528.854.2https://doi.org/10.47148/1609-364X-2024-4-39-47 Key words: neural network; thermokarst; modelling; satellite data; aerospace sensing. Section: Modeling geo objects and geo-processes

Geoinformation modeling of sand injectites

№3 (2024) Nikashin K.I., Zorina S.O. УДК 004.94 https://doi.org/10.47148/1609-364X-2024-3-37-44 Key words: geoinformation modeling; sand injectite; quartz sands; mineral resources Section: Modeling geo objects and geo-processes

Analysis of the spatial and temporal variability of currents in the Kerch strait

№3 (2024) Istomin E.P., Petrov Y.A., Martyn I.A., Novozhilova E.S. УДК 504.4 https://doi.org/10.47148/1609-364X-2024-3-30-36 Key words: data analysis; spatial and temporal variability; sea currents; Kerch Strait Section: Modeling geo objects and geo-processes

Geoinformatika

Journal of geoinformation technologies in geology and geoecology

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