eBook - PDF

Meta-attributes and Artificial Networking

Name: Meta-attributes and Artificial Networking
ISBN: 9781119481911

A New Tool for Seismic Interpretation

Kalachand Sain,

Priyadarshi Chinmoy Kumar,

English
PDF
Available on iOS & Android

eBook - PDF

Meta-attributes and Artificial Networking

A New Tool for Seismic Interpretation

Kalachand Sain,

Priyadarshi Chinmoy Kumar,

About this book

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.

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Yes, you can access Meta-attributes and Artificial Networking by Kalachand Sain,Priyadarshi Chinmoy Kumar in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geophysics. We have over one million books available in our catalogue for you to explore.