Mathematical Geology

, Volume 32, Issue 3, pp 367–379 | Cite as

Blending-Based Stochastic Simulator

  • J. L. Mallet
  • A. Shtuka


This paper presents a new method of constructing random functions whose realizations can be evaluated efficiently. The basic idea is to “blend,” both stochastically and linearly, a limited set of independent initial realizations previously generated by any chosen simulation method. The blending stochastic coefficients are determined in such a way that the new random function so generated has the same mean and covariance functions as the random function used for generating the initial realizations.

random functions simulation geostatistics 


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Copyright information

© International Association for Mathematical Geology 2000

Authors and Affiliations

  • J. L. Mallet
    • 1
  • A. Shtuka
    • 2
  1. 1.gOcad Research GroupEcole Nationale Supérieure de Géologie (INPL/CRPG/LORIA)Vandoeuvre-les-NancyFrance
  2. 2.gOcad Research GroupEcole Nationale Supérieure de Géologie (INPL/CRPG/LORIA)Vandoeuvre-les-NancyFrance

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