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American Journal of Applied Science and Technology

Peer Reviewed | Open Access | E-ISSN: 2771-2745
Published Article

MODERN METHODS OF GEOLOGICAL EXPLORATION: TECHNOLOGICAL ACHIEVEMENTS AND INNOVATIONS

MODERN METHODS OF GEOLOGICAL EXPLORATION: TECHNOLOGICAL ACHIEVEMENTS AND INNOVATIONS

  • J.J. Nasurıllaeva
    Karakalpak State University, Uzbekistan
Geological exploration seismic imaging remote sensing

Modern geological exploration has undergone significant transformations due to advancements in technology. Traditional methods, such as field surveys, core sampling, and basic geophysical techniques, are being supplemented or replaced by cutting-edge innovations that improve precision, efficiency, and environmental sustainability. This article examines these technological achievements, highlighting key developments such as 3D seismic imaging, electromagnetic surveys, and remote sensing via drones and satellite imagery.

Bobachev, A., Morozov, O., & Antonov, A. (2020). Advanced geophysical methods for mineral exploration: Electromagnetic methods in complex terrain. Journal of Applied Geophysics, 178, 104046. https://doi.org/10.1016/j.jappgeo.2020.104046

Hegde, M. G., Yellishetty, M., & Mudd, G. M. (2021). Innovations in mineral exploration: Adoption of machine learning and data integration in resource prediction. Minerals Engineering, 165, 106869. https://doi.org/10.1016/j.mineng.2021.106869

Li, Y., Zhang, L., & Xiong, Y. (2020). Application of artificial intelligence and machine learning in geophysical data interpretation. Geophysics, 85(5), 123-136. https://doi.org/10.1190/geo2020-0134.1

Sánchez, D., Herrero, P., & Prieto, F. (2022). The role of drones in modern geological exploration: Enhancing efficiency in geophysical surveys. Remote Sensing, 14(2), 399. https://doi.org/10.3390/rs14020399

Zhang, X., Wang, Q., & Liu, H. (2023). Big data and cloud computing in geological exploration: Revolutionizing data management and analysis. Computers & Geosciences, 160, 105034. https://doi.org/10.1016/j.cageo.2022.105034