Solid Earth
Solid Earth
Solid Earth
Articles | Volume 11, issue 2
Articles | Volume 11, issue 2
Solid Earth, 11, 419–436, 2020
https://doi.org/10.5194/se-11-419-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Solid Earth, 11, 419–436, 2020
https://doi.org/10.5194/se-11-419-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 2

Research article 31 Mar 2020

Research article | 31 Mar 2020

Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging

Jérémie Giraud et al.

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Latest update: 25 Jan 2022
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Short summary
We propose a methodology for the identification of rock types using geophysical and geological information. It relies on an algorithm used in machine learning called self-organizing maps, to which we add plausibility filters to ensure that the results respect base geological rules and geophysical measurements. Application in the Yerrida Basin (Western Australia) reveals that the thinning of prospective greenstone belts at depth could be due to deep structures not seen from surface.
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