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Abstract

The objectives of this paper are to address the problem of integration of data corresponding to different physics and different supports to construct a geological static model. In fact, diagenesis and petrophysical properties are characterized and quantified from laboratory analyses, observations of thin sections, tests on cores while values are needed to populate cells of the geological model (metric to decametric size). At present, mean characteristics of these properties are generally attributed to the dominant facies in these cells, despite their more complex distribution existing from experimental measurements at a smaller scale. We illustrate on different examples derived from real data some ways to integrate this variability to obtain more realistic distribution of the reservoir properties. Moreover, the hypotheses on the physical process of diagenesis and on its continuity through different facies can be tested through different spatial model in order to quantify the final uncertainty on the resulting model. These points will be addressed using the Pluri-Gaussian Simulation method with parameters adapted to each type of uncertainty.

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/content/papers/10.3997/2214-4609.201701743
2017-06-12
2024-03-28
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201701743
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