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A Segmentation Approach for Stochastic Geological Modeling Using Hidden Markov Random Fields

; ; ; ;

In
Mathematical geosciences 49(2), Seiten/Artikel-Nr.:145-177

ImpressumHeidelberg [u.a.] : Springer

ISSN1874-8953

First Online: 09 November 2016

Online
DOI: 10.1007/s11004-016-9663-9


Einrichtungen

  1. Aachen Institute for Advanced Study in Computational Engineering Science (AICES) (080003)
  2. Juniorprofessur für Numerisches Reservoir Engineering (533030)
  3. Fachgruppe für Geowissenschaften und Geographie (530000)


Thematische Einordnung (Klassifikation)
DDC: 550


Dokumenttyp
Journal Article

Format
print, online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-84994468994
WOS Core Collection: WOS:000392837900001

Interne Identnummern
RWTH-2017-02800
Datensatz-ID: 686377

Beteiligte Länder
Germany, Peoples R China, USA

 GO

Medline ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection ; Zoological Record
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Georesources and Materials Engineering (Fac.5) > Division of Earth Sciences and Geography
Central and Other Institutions
Public records
Publications database
080003
530000
533030
 Record created 2017-03-10, last modified 2020-05-28
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