Multiple-point geostatistics : stochastic modeling with training images / Gregoire Mariethoz ; Jef Caers

Von:

Mariethoz, Gregoire [aut]

Mitwirkende(r):

Caers, Jef, 1969- [aut]

Resource type: Ressourcentyp: BuchBuchSprache: Englisch Verlag: Chichester [u.a.] : Wiley Blackwell, 2015Auflage: 1. publBeschreibung: XI, 364 S. : Ill., graph. DarstISBN:

9781118662755

Schlagwörter:

Andere physische Formen: 9781118662939 | Online version: Multiple-point geostatistics | Erscheint auch als: Multiple-Point Geostatistics. Online-Ausgabe 1st ed. Somerset : John Wiley & Sons, Incorporated, 2014. 1 online resource (379 pages) | Online-Ausg.: Kein Titel DDC-Klassifikation:

551.01/5195 23
551.015195
SCI031000

RVK: RVK: TG 1100LOC-Klassifikation:

QE33.2.S82

Zusammenfassung: "This book provides a comprehensive introduction to multiple-point geostatistics, where spatial continuity is described using training images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The book provides an overview of this new field in three parts. Part I presents a conceptual comparison between traditional random function theory and stochastic modelling based on training images, where random function theory is not always used. Part II covers in detail various algorithms and methodologies starting from basic building blocks in statistical science and computer science. Concepts such as non-stationary and multi-variate modeling, consistency between data and model, the construction of training images and inverse modelling are treated. Part III covers three example application areas, namely, reservoir modelling, mineral resources modelling and climate model downscaling. This book will be an invaluable reference for students, researchers and practitioners of all areas of the Earth Sciences where forecasting based on spatio-temporal data is performed"--Zusammenfassung: "The topic of this book concerns an area of geostatistics that has commonly been known as multiple-point geostatistics because it uses more than two-point statistics (correlation), traditionally represented by the variogram, to model spatial phenomena"--Call number: Grundsignatur: 2015 A 4676PPN: PPN: 796967903

Exemplare ( 1 )

Exemplare
Medientyp	Heimatbibliothek	Sammlung	Standort	Signatur	Status	Fälligkeitsdatum	Barcode	Vormerkungen
Freihandbestand Präsenznutzung	Fachbibliothek Physik	inf 7.43	Bibliothek / frei aufgestellt	2015 A 4676	Nicht ausleihbar		52058595090

Anzahl Vormerkungen: 0