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3D line-support grid flattening for more accurate geostatistical reservoir population with petrophysical properties

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Abstract

Reservoir models are essential if we need to clearly understand the fossil resources and, hence, to make better use of them. Feeding these models with physical properties on the basis of wells data is a key step in their construction. Line-support (LS) grid is the most popular grid in reservoir engineering, it is massively used for reservoir simulations. In the current methods used to populate with properties the LS grid of a reservoir unit, a Cartesian grid of equivalent size (in each direction), obtained by averaging the edge lengths, is first of all completed. The properties calculated in this way are then transferred as they are into the initial LS grid, because there is cell-for-cell correspondence. This leads to distortion of the Cartesian grid, making it fit the shape of the LS grid. This has the effect of altering calculations of correlation distances between well markers in geostatistical population simulations. Consequently, this primarily induces distortions on the simulated bodies. To resolve this problem, in this paper, we propose innovative methods for a “smooth” conversion from the LS grid of the structural space to the Cartesian grid of the geostatistical population space. The basic principle is to calculate the correlation distances between wells on the basis of “quasi-isometric” flattening of the stratigraphic unit LS grid in the population space. This same flattening technique is then used for inverse transfer of the properties from the population space to the structural space.

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Acknowledgments

The authors are very grateful to Thomas Crabié, Christophe Delage and Emmanuel Klein for their help to implement the presented algorithms and for their valuable remarks.

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Authors and Affiliations

  1. IFP Énergies Nouvelles, 1-4 avenue de Bois-Préau, 92852, Rueil-Malmaison Cedex, France

    Chakib Bennis, Cyrielle Dumont, Olivier Lerat & Jean-François Rainaud

  2. Université de Technologie de Troyes, 12 rue Marie Curie, 10010, Troyes Cedex, France

    Houman Borouchaki

  3. Geosiris, 6 rue Gay-Lussacc, 75015, Paris, France

    Mathieu Poudret

Authors
  1. Chakib Bennis
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  2. Houman Borouchaki
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  3. Cyrielle Dumont
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  4. Olivier Lerat
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  5. Mathieu Poudret
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  6. Jean-François Rainaud
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Correspondence to Chakib Bennis.

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Bennis, C., Borouchaki, H., Dumont, C. et al. 3D line-support grid flattening for more accurate geostatistical reservoir population with petrophysical properties. Engineering with Computers 30, 403–421 (2014). https://doi.org/10.1007/s00366-012-0311-9

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  • DOI: https://doi.org/10.1007/s00366-012-0311-9

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