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Meta-attributes and Artificial Networking A New Tool for Seismic Interpretation [#436458]

Name: Meta-attributes and Artificial Networking A New Tool for Seismic Interpretation
Author: book24h

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.

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Meta-attributes and Artificial Networking A New Tool for Seismic Interpretation [#436458]

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