Meta-attributes and Artificial Networking (Hardcover)
Language: English
Published by John Wiley & Sons Inc, Wasington, 2022
- Hardcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 147.26
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Add to basketItem description from seller
Hardcover. 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 attributesOverview of meta-attributes and how to design themWorkflows for the computation of meta-attributes from seismic dataCase studies demonstrating the application of meta-attributesSets of exercises with solutions providedSample 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. "Overview of meta-attributes and how to design them. Case studies demonstrating the application of meta-attributes. 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"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9781119482000
- Title
- Meta-attributes and Artificial Networking (Hardcover)
- Author
- Kalachand Sain
- Publisher
- John Wiley & Sons Inc, Wasington
- Publication year
- 2022
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1119482003
- ISBN 13
- 9781119482000
- Series
- Book 15 of 16: Special Publications
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.
"Synopsis" may belong to another edition of this title.
About the Author
Kalachand Sain, Wadia Institute of Himalayan Geology, India
Priyadarshi Chinmoy Kumar, Wadia Institute of Himalayan Geology, India
"About the title" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
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