Published February 2026, Pg. 4-18

Section: Geology and geophysics

UOT: 550.348.436

DOI: 10.37474/0365-8554/2026-02-4-18

Analysis of deep geodynamic signatures of the south caspian megabasin using AI-assisted and digital geomodeling approaches

R.A. Asgarova PhD in Soil Sc. - Republican Seismological Service Center

The article is devoted to the integration of artificial intelligence technologies and other geomodelling methods in the study of the deep geodynamic structure of the South Caspian Megadepression (SCMD). The main objective of the research is to scientifically model the deep structural interrelations, the dynamics of deformation fields, and the influence of mantle-derived processes at the lithospheric level that were formed during the Mesozoic and subsequent geological stages.
The study covers the Azerbaijani sector of the South Caspian Megadepression and is based on data from complex geophysical surveys carried out in the central part of the region, characterized by a high thickness of sedimentary sequences. As a result of the multidimensional integration of seismic, gravimetric, magnetic, and geothermal data, the structural-tectonic framework and deep heterogeneity of the basin have been analyzed.
In addition to artificial intelligence approaches (neural networks, attribute analysis, clustering, and adaptive optimization methods), the research employs seismic and structural modelling, as well as paleogeodynamic and thermal simulation systems. This integrative methodology is aimed at identifying the stages of formation of deep morphostructural systems, the distribution of stress and heat flows, and the regional characteristics of lithosphere–mantle interaction.
The results of the study are expected to include the modelling of the morphology of deep crust–mantle transition zones, the energy balance of deformation processes, and the potential areas of hydrocarbon system formation in the central and western segments of the South Caspian Megadepression. Furthermore, the research envisages the testing of an “intelligent interpretation” approach based on the combination of artificial intelligence and digital geomodelling technologies, the development of multiphase geodynamic models, and the phase-based assessment of the region’s seismogeodynamic activity.

References:

1. Abdullayev N.R. Basseynovyy analiz Yuzhno-Kaspiyskoy vpadiny na osnove novykh geologo-geofizicheskikh issledovani: dissertatsiya. – Baku, 2023, 306 s.

2. Abdullayev N.R., Kadirov F.A., Guliyev I.S. Subsidence history and basin fill evolution in the South Caspian Basin from geophysical mapping, flexural backstripping, forward lithospheric modelling and gravity modelling // Geological Society, Special Publications, 2015, 427(5), pp. 35-40.

3. Abdullayev N.R., Riley G.W., Bowman A.P. Regional controls on lacustrine sandstone reservoirs: The Pliocene of the South Caspian Basin // Lacustrine Sandstone Reservoirs and Hydrocarbon Systems (AAPG Memoir 95). – Eds. Baganz, Bartov, Nummedal, 2012, pp. 71-98.

4. Aslanov B.S. Seismo-geodinamicheskiye preobrazovaniya Yuzhnogo Kaspiya i Zagrosskogo nadviga v puti geologicheskoy evolyutsii na osnove 3D modelirovaniya gravimetricheskoy karty // SOCAR Proceedings, 2013, No. 4, s. 11-20.

5. Kerimov V.Yu., Guliev I.S., Dzhavadova A.S., Kadirov F.A., Mustayev R.N., Gurbanov V.Sh. Characteristics of oil and gas source strata and features of hydrocarbon systems of the South Caspian Basin // Bulletin of the National Academy of Sciences of Azerbaijan. Series: Earth Sciences, 2024, (1), pp. 77-92.

6. Kerimov V.Yu., Mustaev R.N., Etirmishli G.D., Yusubov N.P. Influence of modern geodynamics on the structure and tectonics of the Black Sea–Caspian region // Eurasian Mining, 2021, 35(1), p. 3-8.

7. Yusubov N.P., Guliyev I.S. Rol gryazevogo vulkanizma v obrazovanii neftyanykh i gazovykh mestorozhdeniy // Azerbaydzhanskoye neftyanoye khozyaystvo, 2018, No. 9, s. 13-24.