Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling

The advent of multiple-point geostatistics (MPS) gave rise to the integration of complex subsurface geological structures and features into the model by the concept of training images. Initial algorithms generate geologically realistic realizations by using these training images to obtain conditiona...

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Veröffentlicht in:	Mathematical geosciences Jg. 42; H. 5; S. 487 - 517
Hauptverfasser:	Honarkhah, Mehrdad, Caers, Jef
Format:	Journal Article Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer-Verlag 01.07.2010 Springer Springer Nature B.V
Schlagworte:	Algorithms Areal geology Areal geology. Maps Chemistry and Earth Sciences Computational mathematics Computer Science Computer simulation Earth and Environmental Science Earth science Earth Sciences Earth, ocean, space Exact sciences and technology Geologic maps, cartography Geological structures Geostatistics Geotechnical Engineering & Applied Earth Sciences Hydrogeology Mathematical analysis Mathematical models Physics Simulation Special Issue Statistics for Engineering Stochastic models Training Training image Multiple point statistics Pattern classification Geostatistics Mapping Distance-based method Kernel geostatistics algorithms models efficiency maps probability accuracy digital simulation cartography classification subsurface image analysis stochastic models mathematical methods three-dimensional models data bases statistics
ISSN:	1874-8961, 1874-8953
Online-Zugang:	Volltext
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