9783030456610 - seismic inversion methods: a practical approach di maurya, s. p.; singh, n. p.; singh, k. h. (11 risultati)

Lingua: Inglese
Editore: Springer, 2020
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.

Lingua: Inglese
Editore: Cham, Springer, 2020
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Da: Antiquariat Bookfarm, Löbnitz, GermaniaAntiquariat Bookfarm
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Hardcover. Condizione: Gut. 221 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library in GOOD condition with library-signature and stamp(s). Some traces of use. R-16926 9783030456610 Sprache: Englisch Gewicht in Gramm: 550.

Lingua: Inglese
Editore: Springer, 2020
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New.

Lingua: Inglese
Editore: Springer, 2020
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 163,12
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Lingua: Inglese
Editore: Springer Nature, 2020
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 220,41
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Hardcover. Condizione: Brand New. 223 pages. 9.25x6.10x0.71 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2020
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer International Publishing Mai 2020, 2020
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 224 pp. Englisch.

Lingua: Inglese
Editore: Springer International Publishing, 2020
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Da: moluna, Greven, Germaniamoluna
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EUR 127,40
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .

Lingua: Inglese
Editore: Springer, 2020
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 202,28
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Condizione: New. Print on Demand.

Lingua: Inglese
Editore: Springer, Springer Mai 2020, 2020
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 149,79
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 rati…o 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.

Lingua: Inglese
Editore: Springer, 2020
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 208,20
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Condizione: New. PRINT ON DEMAND.