Basics of Computational Geophysics

Pijush Samui; Barnali M. Dixon; Dieu Tien Bui

Basics of Computational Geophysics

Pijush Samui, Barnali M. Dixon, Dieu Tien Bui

University of South Florida

Research output: Book/Report › Book

Abstract

Basics of Computational Geophysics provides a one-stop, collective resource for practitioners on the different techniques and models in geoscience, their practical applications, and case studies. The reference provides the modeling theory in an easy-to-read format that is verified with onsite models for specific regions and scenarios, including the use of big data and artificial intelligence. This book offers a platform whereby readers will learn theory, practical applications, and the comparison of real-world problems surrounding geomechanics, modeling and optimizations.

Original language	American English
State	Published - Jan 1 2020

Keywords

geosciences, big data, artificial intelligence, geophysics, geospatial methods, modeling, geomechanics

Disciplines

Artificial Intelligence and Robotics
Data Science
Geographic Information Sciences
Geophysics and Seismology

Access to Document

https://www.elsevier.com/books/basics-of-computational-geophysics/samui/978-0-12-820513-6)

Cite this

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title = "Basics of Computational Geophysics",

abstract = " Basics of Computational Geophysics provides a one-stop, collective resource for practitioners on the different techniques and models in geoscience, their practical applications, and case studies. The reference provides the modeling theory in an easy-to-read format that is verified with onsite models for specific regions and scenarios, including the use of big data and artificial intelligence. This book offers a platform whereby readers will learn theory, practical applications, and the comparison of real-world problems surrounding geomechanics, modeling and optimizations.",

keywords = "geosciences, big data, artificial intelligence, geophysics, geospatial methods, modeling, geomechanics",

author = "Pijush Samui and Dixon, \{Barnali M.\} and Bui, \{Dieu Tien\}",

note = "Samui, P., Dixon, B., Bui, D. T. (Eds.). (2020). Basics of Computational Geophysics (1st ed.). Elsevier. https://www.elsevier.com/books/basics-of-computational-geophysics/samui/978-0-12-820513-6)",

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N1 - Samui, P., Dixon, B., Bui, D. T. (Eds.). (2020). Basics of Computational Geophysics (1st ed.). Elsevier. https://www.elsevier.com/books/basics-of-computational-geophysics/samui/978-0-12-820513-6)

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Basics of Computational Geophysics provides a one-stop, collective resource for practitioners on the different techniques and models in geoscience, their practical applications, and case studies. The reference provides the modeling theory in an easy-to-read format that is verified with onsite models for specific regions and scenarios, including the use of big data and artificial intelligence. This book offers a platform whereby readers will learn theory, practical applications, and the comparison of real-world problems surrounding geomechanics, modeling and optimizations.

AB - Basics of Computational Geophysics provides a one-stop, collective resource for practitioners on the different techniques and models in geoscience, their practical applications, and case studies. The reference provides the modeling theory in an easy-to-read format that is verified with onsite models for specific regions and scenarios, including the use of big data and artificial intelligence. This book offers a platform whereby readers will learn theory, practical applications, and the comparison of real-world problems surrounding geomechanics, modeling and optimizations.

KW - geosciences, big data, artificial intelligence, geophysics, geospatial methods, modeling, geomechanics

UR - https://digitalcommons.usf.edu/fac_publications/4058

UR - https://www.elsevier.com/books/basics-of-computational-geophysics/samui/978-0-12-820513-6)

M3 - Book

BT - Basics of Computational Geophysics

ER -

Basics of Computational Geophysics

Abstract

Keywords

Disciplines

Access to Document

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Cite this