Seismic Inversion Methods: A Practical App...

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Sprache: Englisch

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Beschreibung

This book introduces readers to seismic inversion methods and their application to both synthetic and real seismic data sets. Seismic inversion methods are routinely used to estimate attributes like P-impedance, S-impedance, density, the ratio of P-wave and S-wave velocities and elastic impedances from seismic and well log data. These attributes help to understand lithology and fluid contents in the subsurface. There are several seismic inversion methods available, but their application and results differ considerably, which can lead to confusion. This book explains all popular inversion methods, discusses their mathematical backgrounds, and demonstrates their capacity to extract information from seismic reflection data. The types covered include model-based inversion, colored inversion, sparse spike inversion, band-limited inversion, simultaneous inversion, elastic impedance inversion and geostatistical inversion, which includes single-attribute analysis, multi-attribute analysis, probabilistic neural networks and multi-layer feed-forward neural networks. In addition, the book describes local and global optimization methods and their application to seismic reflection data. Given its multidisciplinary, integrated and practical approach, the book offers a valuable tool for students and young professionals, especially those affiliated with oil companies.

Zusammenfassung

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

Inhaltsverzeichnis

1. Fundamental of seismic inversion.- 2. Seismic data handling.- 3. Post-stack seismic inversion.- 4. Pre-stack inversion.- 5. Amplitude variation with offset (AVO) inversion.- 6. Optimization Methods for Nonlinear Problems.- 7. Geostatistical inversion.

Details

Erscheinungsjahr:	2021
Fachbereich:	Geologie
Genre:	Geowissenschaften , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Springer Geophysics
Inhalt:	vii 216 S. 12 s/w Illustr. 143 farbige Illustr. 216 p. 155 illus. 143 illus. in color.
ISBN-13:	9783030456641
ISBN-10:	3030456641
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Maurya, S. P. Singh, N. P. Singh, K. H.
Hersteller:	Springer Springer International Publishing AG Springer Geophysics
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 13 mm
Von/Mit:	S. P. Maurya (u. a.)
Erscheinungsdatum:	29.05.2021
Gewicht:	0,347 kg