Prediction of Elastic Wave Velocities for Shale in Earthquake-Prone Regions of Korea Using Machine Learning-Reference-Cited by-同舟云学术

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Prediction of Elastic Wave Velocities for Shale in Earthquake-Prone Regions of Korea Using Machine Learning

Published:2024-02-22 Issue: Volume:195 Page:24-33
ISSN:
Container-title:Geo-Congress 2024
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Author:

Kim Min-Ji¹²³,Oh Tae-Min¹²³,Ryu Dong-Woo¹²³

Affiliation:

1. Master’s Student, Underground Space Laboratory, Dept. of Civil and Environmental Engineering, Pusan National Univ.

2. Associate Professor, Underground Space Laboratory, Dept. of Civil and Environmental Engineering, Pusan National Univ..

3. Principal Researcher, Mineral Exploration and Mining Research Center, Korea Institute of Geoscience and Mineral Resources.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485309.003

Reference7 articles.

1. Rock physics model-based prediction of shear wave velocity utilizing machine learning technique for a carbonate reservoir, southwest Iran;Azadpour M.;Journal of Petroleum Science and Engineering,2020

2. Geophysical methods applied to fault characterization and earthquake potential assessment in the Lower Tagus Valley, Portugal;Carvalho J.;Tectonophysics,2006

3. The disposal of radioactive wastes underground;Chapman N.;Proceedings of the Geologists’ Association,2012

4. A Comparative Case Study of 2016 Gyeongju and 2011 Virginia Earthquakes;Kang T. H.-K.;Journal of the Earthquake Engineering Society of Korea,2016

5. Structure–soil–structure interaction: Literature review

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