Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation Sain Kalachand
Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation Sain Kalachand Meta-Attributes and Artificial NetworkingMeta-Attributes and Artificial NetworkingA New Tool for…
Specifikacia Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation Sain Kalachand
Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation Sain Kalachand
Meta-Attributes and Artificial NetworkingMeta-Attributes and Artificial NetworkingA New Tool for Seismic InterpretationSeismic 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 them Workflows for the computation of meta-attributes