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Articles | Volume 10, issue 6
Articles | Volume 10, issue 6
https://doi.org/10.5194/se-10-1989-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-10-1989-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 6
Research article
 | 
15 Nov 2019
Research article |  | 15 Nov 2019

Prediction of seismic P-wave velocity using machine learning

Ines Dumke and Christian Berndt

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Short summary
Knowing the velocity with which seismic waves travel through the top of the crust is important both for identifying anomalies, e.g. the presence of resources, and for geophysical data evaluation. Traditionally this has been done by using empirical functions. Here, we use machine learning to derive better seismic velocity estimates for the crust below the oceans. In most cases this methods performs better than empirical averages.
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