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...
- 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:
- Rights
- License
- http://purl.org/coar/access_right/c_16ec