Authors:
- Explains all popular seismic inversion methods and their mathematical backgrounds
- Describes inversion based on global optimization, together with its application to both synthetic and real data
- Discusses artificial neural network techniques, which are used to predict various petrophysical parameters in the seismic section away from the boreholes
Part of the book series: Springer Geophysics (SPRINGERGEOPHYS)
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About this book
Authors and Affiliations
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Department of Geophysics, Institute of Sciences, Banaras Hindu University, Varanasi, India
S. P. Maurya, N. P. Singh
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Department of Earth Sciences, Indian Institute of Technology Bombay, Mumbai, India
K. H. Singh
Bibliographic Information
Book Title: Seismic Inversion Methods: A Practical Approach
Authors: S. P. Maurya, N. P. Singh, K. H. Singh
Series Title: Springer Geophysics
DOI: https://doi.org/10.1007/978-3-030-45662-7
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-45661-0Published: 29 May 2020
Softcover ISBN: 978-3-030-45664-1Published: 29 May 2021
eBook ISBN: 978-3-030-45662-7Published: 28 May 2020
Series ISSN: 2364-9119
Series E-ISSN: 2364-9127
Edition Number: 1
Number of Pages: VII, 216
Number of Illustrations: 12 b/w illustrations, 143 illustrations in colour
Topics: Geophysics/Geodesy, Geotechnical Engineering & Applied Earth Sciences, Geophysics and Environmental Physics