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Numerical simulations of geological reservoirs: improving their conditioning through the use of entropy

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  • Delay, Frédérick
  • Lamotte, Jean-Luc

Abstract

The aim of this study is to demonstrate by means of numerical experiments that the simulation of random fields may provide images that are too spatially disorganized to represent correctly some continuous properties of geological reservoirs. Increasing the number of conditioning data does not provide a satisfactory answer to the problem. The study shows that the bivariate entropy calculated on the simulated fields is a sensitive indicator of their spatial disorder. By using this measure in the objective function of a simulated annealing procedure, previously simulated random fields can be post-conditioned on their bivariate entropy in order to reduce their spatial disorder.

Suggested Citation

  • Delay, Frédérick & Lamotte, Jean-Luc, 2000. "Numerical simulations of geological reservoirs: improving their conditioning through the use of entropy," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 52(3), pages 311-331.
    • Handle: RePEc:eee:matcom:v:52:y:2000:i:3:p:311-331
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    1. Lamotte, J.L. & Delay, F., 1997. "On the stability of the 2D interpolation algorithms with uncertain data," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(2), pages 183-201.
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    Cited by:

    1. Hashan, Mahamudul & Jahan, Labiba Nusrat & Tareq-Uz-Zaman, & Imtiaz, Syed & Hossain, M. Enamul, 2020. "Modelling of fluid flow through porous media using memory approach: A review," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 643-673.

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