Recent advances in machine learning for geological and geophysical 
case studies

Wenda Zhou

doi:10.1117/12.2626783

20 December 2021 Recent advances in machine learning for geological and geophysical case studies

Wenda Zhou

Proceedings Volume 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021); 1215519 (2021) https://doi.org/10.1117/12.2626783
Event: International Conference on Computer Vision, Application, and Design (CVAD 2021), 2021, Sanya, China

Abstract

The exploration of geology and geophysics as an ancient and mysterious enterprise has uncovered the mysteries of different corners of the earth. Advances in machine learning have encouraged geologists and geophysicists to explore the earth further. Geologists develop and apply geological exploration machines to explore different parts of the world through previous practical research and academic theories. In this paper, the applications of machine learning in studying geological features including volcanoes, rocks, glaciers are systematically introduced. On the other hand, the utilization of machine learning analysis in exploration of the earthquake, geothermal, and geomagnetism. In summary, machine learning has provided more in-depth data collection, material analysis and model establishment for geophysical research objects, making geophysical research more active and effective development. This state-of-art review provide a comprehensive understanding of machine learning application in geology and geophysics and provides a clear guidance for further high efficiency and high precision geology and geophysics research.

Citation Download Citation

Wenda Zhou "Recent advances in machine learning for geological and geophysical case studies", Proc. SPIE 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021), 1215519 (20 December 2021); https://doi.org/10.1117/12.2626783

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KEYWORDS

Machine learning

Earthquakes

Analytical research

Data modeling

Geology

Earth observing sensors

Geophysics

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