Learning-Based Seismic Velocity Inversion with Synthetic and Field Data

Building accurate acoustic subsurface velocity models is essential for successful industrial exploration projects. Traditional inversion methods from field-recorded seismograms struggle in regions with complex geology. While deep learning (DL) presents a promising alternative, its robustness using f...

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Detalles Bibliográficos
Autores principales: Farris, Stuart, Clapp, Robert, Araya-Polo, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574958/
https://www.ncbi.nlm.nih.gov/pubmed/37837108
http://dx.doi.org/10.3390/s23198277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574958/
https://www.ncbi.nlm.nih.gov/pubmed/37837108
http://dx.doi.org/10.3390/s23198277

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