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  • Articles  (3)
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  • geostatistics
  • 1985-1989  (3)
  • 1980-1984
  • 1970-1974
  • 1988  (3)
  • Mathematics  (3)
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  • Articles  (3)
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  • 1985-1989  (3)
  • 1980-1984
  • 1970-1974
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  • 1
    Electronic Resource
    Electronic Resource
    On the importance of choosing a change of support model for global reserves estimation (1988)
    Springer
    Mathematical geology 20 (1988), S. 1001-1019 
    Details
    ISSN: 1573-8868
    Keywords: geostatistics ; change of support ; recoverable reserves ; selectivity ; normality index ; Cartier's formula ; affine correction ; discrete Gaussian model ; mosaic model
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract The practical problem considered here is: how can block distribution in an orebody be forecast from sample data? The task is arduous because information yielded by samples is too often insufficient to allow an accurate evaluation of blocks. In practice, necessary additional information is obtained via a model. Choosing that model is crucial; the value of results reflects the model, i.e., its adequacy to represent reality. In this paper, the importance of choosing the change of support model is illustrated with simulations and practical examples (especially deposits with a skewed sample distribution and a large spike at the origin). An attempt to quantify this importance is made also.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00892976
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Imprecise (fuzzy) information in geostatistics (1988)
    Springer
    Mathematical geology 20 (1988), S. 287-311 
    Details
    ISSN: 1573-8868
    Keywords: fuzzy sets ; geostatistics ; methodology ; application ; permeability prediction ; soil liner
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract A methodology based on fuzzy set theory for the utilization of imprecise data in geostatistics is presented. A common problem preventing a broader use of geostatistics has been the insufficient amount of accurate measurement data. In certain cases, additional but uncertain (soft) information is available and can be encoded as subjective probabilities, and then the soft kriging method can be applied (Journel, 1986). In other cases, a fuzzy encoding of soft information may be more realistic and simplify the numerical calculations. Imprecise (fuzzy) spatial information on the possible variogram is integrated into a single variogram which is used in a fuzzy kriging procedure. The overall uncertainty of prediction is represented by the estimation variance and the calculated membership function for each kriged point. The methodology is applied to the permeability prediction of a soil liner for hazardous waste containment. The available number of hard measurement data (20) was not enough for a classical geostatistical analysis. An additional 20 soft data made it possible to prepare kriged contour maps using the fuzzy geostatistical procedure.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00892981
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Fractal and geostatistical methods for modeling of a fracture network (1988)
    Springer
    Mathematical geology 20 (1988), S. 631-654 
    Details
    ISSN: 1573-8868
    Keywords: Fractals ; geostatistics ; fracture network ; granite
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract The modeling of fracture networks is useful for fluid flow and rock mechanics studies. About 6600 fracture traces were recorded on drifts of a uranium mine in a granite massif. The traces have an extension of 0.20–20 m. The network was studied by fractal and by geostatistical methods but can be considered neither as a fractal with a constant dimension nor a set of purely randomly located fractures. Two kinds of generalization of conventional models can still provide more flexibility for the characterization of the network: (a) a nonscaling fractal model with variable similarity dimension (for a 2-D network of traces, the dimension varying from 2 for the 10-m scale to 1 for the centimeter scale, (b) a parent-daughter model with a regionalized density; the geostatistical study allows a 3-D model to be established where: fractures are assumed to be discs; fractures are grouped in clusters or swarms; and fracturation density is regionalized (with two ranges at about 30 and 300 m). The fractal model is easy to fit and to simulate along a line, but 2-D and 3-D simulations are more difficult. The geostatistical model is more complex, but easy to simulate, even in 3-D.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00890581
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