Simulation of mineral grades with hard and soft conditioning data: application to a porphyry copper deposit

Author:

Emery Xavier,Robles Lucía N.

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computers in Earth Sciences,Computer Science Applications

Reference28 articles.

1. Alabert, F.: Stochastic imaging of spatial distributions using hard and soft information. Master’s thesis, Stanford University, Stanford (1987)

2. Alabert, F.: The practice of fast conditional simulations through the LU decomposition of the covariance matrix. Math. Geol. 19(5), 369–386 (1987). doi: 10.1007/BF00897191

3. Armstrong, M., Galli, A., Le Loc’h, G., Geffroy, F., Eschard, R.: Plurigaussian Simulations in Geosciences. Springer, Berlin (2003)

4. Chilès, J.P., Delfiner, P.: Geostatistics: Modeling Spatial Uncertainty. Wiley, New York (1999)

5. Davis, M.W.: Production of conditional simulations via the LU triangular decomposition of the covariance matrix. Math. Geol. 19(2), 91–98 (1987)

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