Automated velocity estimation by deep learning based seismic-to-velocity mapping

We propose a novel method for velocity estimation that leverages the newest advances in Deep Learning (DL) technology. This method is fully automatic and maps seismic shot-domain data to corresponding depth-domain velocity fields via two neural networks. Our new method is conceptually different from...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/5775
Acceso en línea:
http://hdl.handle.net/11407/5775
Palabra clave:
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License
http://purl.org/coar/access_right/c_16ec