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Meta-attributes and Artificial Networking: A New Tool for Seismic Interpretation (Special Publications) - Tapa dura

Libro 15 de 16: Special Publications

Sain, Kalachand; Kumar, Priyadarshi Chinmoy

 
9781119482000: Meta-attributes and Artificial Networking: A New Tool for Seismic Interpretation (Special Publications)
Tapa dura
ISBN 10: 1119482003 ISBN 13: 9781119482000
Editorial: American Geophysical Union, 2022

Sinopsis

Applying machine learning to the interpretation of seismic data

Seismic data gathered on the surface can be used to generate numerous seismic attributes that enable better understanding of subsurface geological structures and stratigraphic features. With an ever-increasing volume of seismic data available, machine learning augments faster data processing and interpretation of complex subsurface geology.

Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation explores how artificial neural networks can be used for the automatic interpretation of 2D and 3D seismic data.

Volume highlights include:

  • Historic evolution of seismic attributes
  • Overview of meta-attributes and how to design them
  • Workflows for the computation of meta-attributes from seismic data
  • Case studies demonstrating the application of meta-attributes
  • Sets of exercises with solutions provided
  • Sample data sets available for hands-on exercises

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Kalachand Sain, Wadia Institute of Himalayan Geology, India

Priyadarshi Chinmoy Kumar, Wadia Institute of Himalayan Geology, India

De la contraportada

Meta-Attributes and Artificial Networking
A New Tool for Seismic Interpretation

Seismic data gathered on the surface can be used to generate numerous seismic attributes that enable better understanding of subsurface geological structures and stratigraphic features. With an ever-increasing volume of seismic data available, machine learning augments faster data processing and interpretation of complex subsurface geology.

Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation explores how artificial neural networks can be used for the automatic interpretation of 2D and 3D seismic data.

Volume highlights include:

  • Historic evolution of seismic attributes
  • Overview of meta-attributes and how to design them
  • Workflows for the computation of meta-attributes from seismic data
  • Case studies demonstrating the application of meta-attributes
  • Sets of exercises with solutions provided
  • Sample data sets available for hands-on exercises

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
American Geophysical Union
Año de publicación
2022
Idioma
Inglés
ISBN 10 
1119482003
ISBN 13 
9781119482000
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
288
Contacto del fabricante
no disponible
Persona responsable
no disponible