Meta attributes and Artificial Networking is popular PDF and ePub book, written by Kalachand Sain in 2022-06-24, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Meta attributes and Artificial Networking can be Read Online from any device for your convenience.
Meta attributes and Artificial Networking Book PDF Summary
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.
Detail Book of Meta attributes and Artificial Networking PDF
- Author : Kalachand Sain
- Release : 24 June 2022
- Publisher : John Wiley & Sons
- ISBN : 9781119481768
- Genre : Science
- Total Page : 292 pages
- Language : English
- PDF File Size : 16,8 Mb
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