Stochastic Modeling and Geostatistics Principles, Methods, by Jeffrey M. Yarus, Richard L. Chambers

By Jeffrey M. Yarus, Richard L. Chambers

A very good insurance of modeling and simulating geological occasions.

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Journel, A. , and C. J. Huijbregts, 1978, Mining geostatistics: London, Academic Press, 600 p. McBratney, A. , and R. Webster, 1986, Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates: Journal of Soil Science, v. 37, no. 4, p. 617–639. Olea, R. , 1975, Optimum mapping techniques using regionalized variable theory: series on spatial analysis no. 3: Lawrence, Kansas, Kansas Geological Survey, 137 p. Olea, R. , 1992, Kriging—understanding allays intimidation: Geobyte, v.

ENSAM Esplanade des Arts et Métiers Cedex, France R. Ehrlich C. M. Prince V. L. A. D. -ENSAM Esplanade des Arts et Métiers Cedex, France ◆ ABSTRACT All sandstone fabrics contain a characteristic complex of microstructures of a scale that is large with respect to the size of sample plugs conventionally used to measure permeability. A fundamental element of this microstructure consists of circuits composed of oversized pores and throats representing the sites of loose or flawed packing, and largely controlling permeability at the permeability-plug scale.

5, p. 563–568. Cressie, N. A. , 1991, Statistics for spatial data: New York, John Wiley, 900 p. Cressie, N. A. , and M. O. Grondona, 1992, A comparison of variogram estimation with covariogram estimation, in K. V. , The art of statistical science: New York, John Wiley, p. 191–208. , 1977, Geostatistical ore reserve estimation: Developments in Geomathematics 2: Amsterdam, Elsevier Scientific Publishing, 364 p. Deutsch, C. , and A. G. Journel, 1992, GSLIB–geostatistical software library and user’s guide: Oxford, Oxford University Press, 2 diskettes and 340 p.

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