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Meta-attributes and Artificial Networking

A New Tool for Seismic Interpretation de

,

Éditeur :

American Geophysical Union


Collection :

Special Publications

Paru le : 2022-06-24

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Description

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.
Pages
288 pages
Collection
Special Publications
Parution
2022-06-24
Marque
American Geophysical Union
EAN papier
9781119482000
EAN PDF
9781119481911
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
288
Taille du fichier
78909 Ko
Prix
148,86 €
EAN EPUB
9781119481768
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
288
Taille du fichier
31969 Ko
Prix
148,86 €

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