Geologic Modeling and Mapping: Computer Applications in the Earth Sciences
Editat de Andrea Förster, Daniel F. Merriamen Limba Engleză Paperback – 21 oct 2011
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Specificații
ISBN-13: 9781461380177
ISBN-10: 1461380170
Pagini: 352
Ilustrații: 348 p.
Dimensiuni: 170 x 244 x 18 mm
Greutate: 0.56 kg
Ediția:Softcover reprint of the original 1st ed. 1996
Editura: Springer Us
Colecția Springer
Seria Computer Applications in the Earth Sciences
Locul publicării:New York, NY, United States
ISBN-10: 1461380170
Pagini: 352
Ilustrații: 348 p.
Dimensiuni: 170 x 244 x 18 mm
Greutate: 0.56 kg
Ediția:Softcover reprint of the original 1st ed. 1996
Editura: Springer Us
Colecția Springer
Seria Computer Applications in the Earth Sciences
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Sedimentary process simulation: a new approach for describing petrophysical properties in three dimensions for subsurface flow simulations.- Modeling of multicomponent diagenetic systems.- Modeling petroleum reservoirs in Pennsylvanian strata of the Midcontinent, USA.- Thermal modeling at an ancient orogenetic front with special regard to the uncertainty of heat-flow predictions.- Effective transport properties of artificial rocks - means, power laws, and percolation.- Three-dimensional modeling of geological features with examples from the Cenozoic Lower Rhine Basin.- Volumetrics and rendering of geologic bodies by three-dimensional geometric reconstruction from cross sections or contour lines.- The effect of seasonal factors on geological interpretation of MSS data.- Reconstruction of the Leduc and Wabamun rock salts, Youngstown area, Alberta.- Use of the computer for the structural analysis of the Ordovician sedimentary basin in Estonia.- Pairwise comparison of spatial map data.- Applications of spatial factor analysis to multivariate geochemical data.- Geostatistical solution for the classification problem with an application to oil prospecting.- Transition probability approach to statistical analysis of spatial qualitative variables in geology.- An intelligent framework for geologic modeling applications.- Contributors.