https://doi.org/10.65294/gpogc.2026.01
Regional evaluation of hydrocarbon potential in the
south Ustyurt region based on integrated geological and geophysical data A.E.
Abetov, Sh.B.Yesirkepova, M.Kh.Iskandarov, Sh.A.Umarov, R.Yu.Aliyarov, B.S.Aslanov
A methodology for regional hydrocarbon
prospectivity assessment in the South Ustyurt Region (SUR) has been developed
through the integration of drilling, seismic exploration, gravimetry,
magnetometry, geothermal studies, and airborne gamma-ray spectrometry data. The
hydrocarbon potential of the SUR was evaluated using advanced software tools,
including IP Seismic, ArcGIS, and others. The research methodology based on
machine learning techniques, specifically Self-Organizing Map (SOM) clustering,
to identify correlations between geophysical anomalies, regional and local
structures, and predicted hydrocarbon accumulations. Structural mapping
analysis confirmed the block heterogeneity of the sedimentary cover. Airborne
gamma-ray spectrometry identified 15 anomalous zones characterized by reduced
concentrations of thorium, potassium, and uranium, suggesting potential
hydrocarbon presence. Most of these anomalies are concentrated in the
Shakhpakhty Steppe. The correlation between airborne gamma-ray spectrometry and
seismic data further confirmed the association of radioactive anomalies with
fault tectonics. In the Shakhpakhty Step and Assakeaudan Depression, the
Kazgurly, Utezhan, Kozhantay, Western Kozhantay, Otynshy, and Southern Tabyn
areas show high probabilities of hydrocarbon accumulation. Exploratory drilling
and additional 3D seismic surveys are recommended for these locations. Furthermore,
the research findings require further validation through the integration of
remote sensing and well data within a unified 3D model. The integration of
modern digital technologies and artificial intelligence to improve forecasting
accuracy and exploration efficiency is recommended for similar studies in
Kazakhstan and other regions with comparable geological condition.