Könyv Meta-attributes and Artificial Networking: A New T ool for Seismic Interpretation Kalachand Sain

Meta-attributes and Artificial Networking: A New T ool for Seismic Interpretation

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 11-15 napon belül
56 726 Ft
Applying machine learning to the interpretation of seismic dataSeismic data gathered on the surface...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2022
oldal
288
EAN
9781119482000
ISBN
1119482003
Enbook ID
36923991
Súly
572
Méretek
238 x 161 x 21

Teljes leírás

Applying machine learning to the interpretation of seismic dataSeismic 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 exercisesThe 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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