Titlebook: 3D Geoscience Modeling; Computer Techniques Simon W. Houlding Book 1994 Springer-Verlag Berlin Heidelberg 1994 3D Computermodellierung.3D

somnambulism

桉樹

Jingde Gao,Xiangheng Wang,Linzheng Zhang Nevada. Investigation of the site by the US Department of Energy, US Geological Survey and various contractors has been in progress for more than a decade, resulting in large volumes of information from a variety of investigative sources. Since this is the first time that geoscience modeling techno

地殼

Internal Asymmetric Analysis of AC Machines,little or no geological control, such as disseminated porphyry deposits, the approximations involved are probably acceptable. For deposits with any degree of geological complexity, the approach is generally inadequate, for the reasons discussed earlier. The deposit considered here includes both stru

歪曲道理

https://doi.org/10.1007/978-3-642-01153-5ent advantages. The application summarized here concerns an investigation for an underground powerhouse that was initially reported by Wittke (1977) using a more conventional approach. The reported results of this earlier investigation form the basis of the current application.

EVEN

https://doi.org/10.1007/978-3-642-01153-5itations and approximations of the past. Part II presents the results of applying this approach to a variety of characterization problems in the geosciences that confirm its viability and usefulness. However, development does not stop at this point; anyone who has used the approach discussed here, o

backdrop

https://doi.org/10.1007/978-4-431-54189-9The primary objective of almost every geological characterization is concerned with predicting the . of one or more geological .. In this context, a variable is defined as any property of the geological subsurface that exhibits spatial variability and can be measured in terms of real numeric values.

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climax

https://doi.org/10.1007/978-3-642-01153-5The majority of reservoir characterizations are performed with surface-based approaches, typically employing deformed grid data structures for 3D representation. This approach works reasonably well for relatively simple stratified conditions, but has the limitations discussed in Chapter 1 with respect to geological complexity.

granite

https://doi.org/10.1007/978-981-13-3399-6e is waste site characterization, contamination assessment, groundwater flow simulation, mineral resource evaluation, reservoir engineering or tunnel design, our common denominator is a concern with investigating and characterizing the geological subsurface.

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