GEOLOGICAL STRUCTURE AND PROSPECTS OF OIL AND GAS OUTPUT OF JURASSIC CARBONATE DEPOSITS IN THE UZUNKUDUK AREA

Main Article Content

Kurbanov, Sh.B.
Yuldashev, N.N.
https://orcid.org/0000-0003-3972-6450
Kirgizov, I.K.
Juraev, F.A.

Abstract

The article discusses the geological structure and petroleum potential of the Upper Jurassic carbonate deposits in the Uznkuduk area (Kashkadarya region, Uzbekistan). Based on integrated interpretation of 2D/3D seismic data and results from exploration drilling, the structural model of the field has been refined, reef structures and anomalous zones with improved reservoir properties have been identified. Locations for three exploration wells are proposed to assess the hydrocarbon potential of the identified anomalies.

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Section

Geology and oil-gas industry

Author Biographies

Kurbanov, Sh.B., JV LLC “Sanoat Energetika Guruji”

Head of the Department of PPP and GPP, JV LLC Sanoat Energetika Guruji, Tashkent, Uzbekistan

Yuldashev, N.N., State Institution “Institute of Geology and Exploration of Oil and Gas Fields”

Head of the Laboratory, Senior Research Fellow, State Institution Institute of Geology and Exploration of Oil and Gas Fields, Tashkent, Uzbekistan

Kirgizov, I.K., “Sanoat Energetika Gurugi” LLC

Head of the GM Department, JV Sanoat Energetika Gurugi LLC, Tashkent, Uzbekistan

Juraev, F.A., Karshi State Technical University

Associate Professor, Department of Geology and Mining”, Karshi State Technical University, Karshi, Uzbekistan

How to Cite

Kurbanov, S. B., Yuldashev, N. N., Kirgizov, I. K., & Juraev, F. A. (2026). GEOLOGICAL STRUCTURE AND PROSPECTS OF OIL AND GAS OUTPUT OF JURASSIC CARBONATE DEPOSITS IN THE UZUNKUDUK AREA. Digital Technologies in Industry, 4(1), 149-152. https://doi.org/10.70769/3030-3214.SRT.4.1.2026.43

References

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[3] Zaynidinov, H. N., Boytemirov, A. M., Qarshiyev, O. A., Shoymurotov, T. X., Yuldashev, N. N., & Yoqubov, M. G. (2024). Porosity and permeability prediction of oil and gas reservoirs using artificial neural networks and support vector machines. https://doi.org/10.1109/PIERE62470.2024.10804993 DOI: https://doi.org/10.1109/PIERE62470.2024.10804993

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