Articles liés à Meta-attributes and Artificial Networking: A New Tool...

Meta-attributes and Artificial Networking: A New Tool for Seismic Interpretation - Couverture rigide

Livre 15 sur 16: Special Publications

Sain, Kalachand; Kumar, Priyadarshi Chinmoy

 
9781119482000: Meta-attributes and Artificial Networking: A New Tool for Seismic Interpretation
Couverture rigide
ISBN 10 : 1119482003 ISBN 13 : 9781119482000
Editeur : American Geophysical Union, 2022

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Kalachand Sain, Wadia Institute of Himalayan Geology, India

Priyadarshi Chinmoy Kumar, Wadia Institute of Himalayan Geology, India

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
American Geophysical Union
Date d'édition
2022
Langue
anglais
ISBN 10 
1119482003
ISBN 13 
9781119482000
Reliure
Relié
Nombre de pages
288
Coordonnées du fabricant
non disponible
Personne responsable
non disponible